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Knowledge Discoveries in Biomedicine: Exploring the Power of Knowledge Augmentation Generation
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Purva Rajkotia
Director of Global Business Strategy & Intelligence (GBSI)
Director of Global Business Strategy & Intelligence (GBSI)
Purva Rajkotia is the Director of Global Business Strategy & Intelligence (GBSI) and the Connectivity and Telecom Practice Lead at IEEE Standards Association (IEEE SA). Prior to IEEE, Purva held leadership positions with Qualcomm, Samsung, and Disney in various capacities. Purva also held leadership positions in various standards organizations such as IEEE, ITU, 3GPP, 3GPP2, CENELEC, etc. He has authored more than 100 patents granted by the USPTO (US Patent Office) and other worldwide patent organizations. He is one of the co-authors of the chapter on Powerline Communications in the book "MIMO Power Line Communications Narrow and Broadband Standards, EMC, and Advanced Processing" by CRC Press. He obtained his MSEE degree from the Georgia Institute of Technology and his MBA from CSU.
Dr. Frank Skidmore
Physician
Physician
Dr. Frank Skidmore is a physician residing in Birmingham Alabama with a longstanding research focus in imaging and artificial intelligence. In 2018, Dr. Skidmore transitioned from an NIH-funded academic career to entrepreneurship, founding Analytical AI with colleagues and PhD mentees from his University of Alabama at Birmingham brain imaging laboratory. Initially founded as a medical AI company, Analytical AI is the recognized leader in applications of artificial intelligence to United States airport security, with contracts with the Department of Homeland Security, the TSA, Customs and Border Protection, Sandia National Labs, the US Army and Navy, and several commercial companies. Dr. Skidmore more recently founded eXElectros with Dr. Murat Tanik and colleague Greg Franklin. eXElectros is focused on improving the efficiency of electrical conductivity using theoretical models developed by Murat Tanik, a SDPS founder. Dr. Skidmore has authored over 60 peer reviewed published works and several patents, including active multi-country patents (and academic work) currently in process and review.
Girijesh Prasad
Professor of Intelligent Systems, Ulster University, UK
Professor of Intelligent Systems, Ulster University, UK
Prof Neville Calleja
Head of Department for Public Health at the University of Malta Medical School
Head of Department for Public Health at the University of Malta Medical School
Prof Neville Calleja is the Head of Department for Public Health at the University of Malta Medical School, which is affiliated with the Association of Schools of Public Health in the European Region (ASPHER). He is also Director for Health Information & Research within the Ministry for Health in Malta, Europe. This is the national health data repository for the country of Malta and also the designated Health Data Access Body for the newly setup European Health Data Space (EHDS) within the EU. He also served as Chief Medical Officer for Malta a few years ago. During the COVID-19 emergency period, he has been a senior member of Malta's COVID-19 Response Team and has also been involved in discussions on COVID-19 monitoring and other public health policy at EU level. He has also been supporting WHO (Europe) and WHO Global (Geneva) on several areas, mainly however on assessment of national health information systems since 2016.
Prof. Patrick Then
Chief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC)
Chief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC)
Prof. Patrick Then assumed the Chief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC) since March 2025. SAIC aims to accelerate Sarawak economic growth by leveraging AI technologies. SAIC conducts high-impact research and development for Sarawak’s needs, and advises policymakers on AI governance, policy, audit, and talent development.
Before that, he led School of ICT as Head of School, Centre for Digital Futures as Director, Swinburne University of Technology Sarawak. As SAIC CEO, he continues mentoring researchers and academics in academia. He has been recognized as eminent researcher in health informatics in the region collaborating with prominent cardiologists and clinicians in Clinical Research Centre Sarawak General Hospital in Malaysia and the National Institutes of Health, Ministry of Health Malaysia. He has published papers in high impact journals and proceedings. He is a strong advocate of transdisciplinary research where he translated artificial intelligence techniques into healthcare, manufacturing and other applications. He is a sought-after keynote speaker in IT and cardiology conferences in Europe, India, Indonesia and South Korea. He is the holder of multiple patents and software copyrights that have been translated into commercial product. He is a highly recognised digital health Key Opinion Leader by Ministry of Health Malaysia.
He is an elected fellow of the European Society of Cardiology, fellow of the Society for Design and Process Science USA, Senior member of Australian Computer Society, Senior member of IEEE, and Board member of Sarawak Development Institute.
Dr. Raymond Yeh
SDPS Founding Member
SDPS Founding Member
Dr. Raymond Yeh taught at several universities and led two Computer Science departments to top-10 national rankings. He has held Endowed Professorships at two universities and honorary professorships at five universities.
Yeh was the founding editor-in-chief of IEEE Transactions on Software Engineering and the founder of the "International Software Engineering Conference" and helped Software Engineering to become a formal academic discipline. He also co-founded two professional societies and two software companies. He has been a consultant to many nations, global enterprises as well as start-up companies.
Yeh is a Life fellow of the Institute of Electrical and Electronic Engineers (IEEE), the Society for Design and Process Science (SDPS), and a senior research fellow at IC2 Institute at the University of Texas at Austin. He received several prestigious awards and was featured by various media in several nations."
Bernd Kramer
SDPS Founding Member
SDPS Founding Member
Dr. Rytis Maskeliunas
Professor and Chief Researcher
Professor and Chief Researcher
Dr. Rytis Maskeliunas currently works as a full professor and as a chief researcher at the Faculty of Informatics in Kaunas University of Technology, Lithuania, as well as an invited professor at the Faculty of Applied Mathematics in Silesian University of Technology, Poland and Faculty of Informatics at Vytautas Magnus University. His primary area of scientific research is the application of contemporary artificial intelligence technologies for medical multimodal signal processing, with a particular focus on the analysis, screening and diagnosis of neurological impairments, where he was awarded “Innovation of the year award” for his studies in the classification of neurological diseases in 2023 and 2021. He is an author /co-author of over 200 refereed research publications (WOS H=32, ORCID 0000-0002-2809-2213). Rytis served as the National Expert @ European Horizon-ICT Committee with experience in multiple International research organizations, as well as an editor/reviewer/committee member for various International journals. He has coordinated / participated in multiple research projects in the Computer Science domain and was involved in the EU COST actions 278, 2102, IC1002, CA15122, CA16101 and currently is an MC member in CA19136 and 22136. In his field Rytis has an experience of supervising 8 Ph.D. students.
Sally McClean
Professor Emeritus
Professor Emeritus
Sally McClean received her first degree in Mathematics from Oxford University, and then obtained a MSc in Mathematical Statistics and Operational Research from Cardiff University, followed by a PhD on Markov and semi-Markov models at Ulster University. She is currently Professor of Mathematics at Ulster University. Her main research interests are in Stochastic Modelling and Optimisation, particularly for Healthcare Planning, and Computer Science, specifically Process Mining, Databases, Internet of Things, Sensor Technology and Telecommunications. She has been grant holder on over £13 million worth of funding, mainly from the EPSRC, Industry, the EU and charities. Sally is a Fellow of the Royal Statistical Society, Fellow of the Operational Research Society, Fellow of the IMA, past President of the Irish Statistical Association and Member of the IEEE. She has published over four hundred research papers and was previously a recipient of Ulster University’s Senior Distinguished Research Fellowship.
Professor Stephen Ekwaro-Osire
Founding Member and a Fellow of the Society for Design and Process Science (SDPS)
Founding Member and a Fellow of the Society for Design and Process Science (SDPS)
Professor Stephen Ekwaro-Osire is a founding member and a Fellow of the Society for Design and Process Science (SDPS). For the last 22 years, he has served as honorary editor, senior advisory board member, managing editor, and director of the editorial board of SPDS’s Journal of Integrated Design and Process Science. He has reviewed and published extensively in the Journal of Integrated Design and Process Science. He has also served as plenary presenter, paper presenter, program committee member, session developer, session organizer, and session chair at least 17 annual SDPS conferences. Professor Ekwaro-Osire is a Fellow of the American Society of Mechanical Engineers (ASME). He has held various leadership positions at ASME. Most recently, he was the chair of the executive committee of the Safety Engineering and Risk Analysis Division. He has also served for the last several years as a member of the editorial board of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering & Part B: Mechanical Engineering. Professor Ekwaro-Osire is the associate dean for undergraduate studies at the Whitacre College of Engineering at Texas Tech University (TTU). He is a full professor of mechanical engineering and a licensed professional engineer in the State of Texas. While at TTU, he has held honorary professorships at four universities in four countries. His research interests include uncertainty quantification, structural health diagnosis and prognosis, engineering design, and orthopedic biomechanics. Recently, he has become keen on quantifying the risk and uncertainty when applying artificial intelligence and generative artificial intelligence to address compelling questions in these areas. He has published 83 refereed archival papers in scientific journals, 151 refereed papers in conference proceedings, 14 book chapters, and two books. He has also delivered 41 invited talks in eight countries. As a primary advisor, he has supervised and graduated 20 PhD students and 31 MS students, and currently supervises three PhD students. Besides being a primary advisor, he has also served on 91 PhD and 60 MS committees. He has mentored and trained eight post-doctoral research associates. Also, as the founder and director of the Product Design & Development Laboratory, he supervised and mentored over 250 undergraduate students. State agencies, federal agencies, international funding agencies, and industry have funded his research.
Dr. Justin Dauwels
Associate Professor
Associate Professor
Dr. Justin Dauwels is an Associate Professor at the TU Delft (Signal Processing Systems, Department of Microelectronics), and serves as co-Director of the Safety and Security Institute at the TU Delft. He was an Associate Professor of the School of Electrical and Electronic Engineering at the Nanyang Technological University (NTU) in Singapore till the end of 2020. At the TU Delft, he serves as scientific lead of the Model-Driven Decisions Lab (MoDDL), a first lab for the Knowledge Building program between the police and the TU Delft. He also serves as Chair of the EE Board of Studies at the TU Delft, and is a board member of the Co van Ledden Hulsebosch Center (Netherlands Center for Forensic Science and Medicine). His research interests are in data analytics with applications to intelligent transportation systems, autonomous systems, and analysis of human behaviour and physiology. He obtained his PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich in December 2005. Moreover, he was a postdoctoral fellow at the RIKEN Brain Science Institute (2006-2007) and a research scientist at the Massachusetts Institute of Technology (2008-2010).
Dr. Ali Akgunduz
Professor in the Department of Mechanical, Industrial, and Aerospace Engineering
Professor in the Department of Mechanical, Industrial, and Aerospace Engineering
Dr. Ali Akgunduz is a Professor in the Department of Mechanical, Industrial, and Aerospace Engineering at the Gina Cody School of Engineering and Computer Science, Concordia University. He also serves as the Associate Dean responsible for academic programs. Before joining the Gina Cody School in 2003, Dr. Akgunduz worked at United Airlines headquarters in Chicago, IL, as an R&D Engineer in Revenue Management, where he developed optimization and simulation tools for the company. His research primarily focuses on applying operations research to complex systems, with a particular emphasis on the aviation industry. In recent years, he has been exploring AI and optimization techniques to enhance academic program design and establish evidence-based continual improvement processes in higher education. His team has developed a decision-support tool to effectively implement and monitor the continual improvement process at the Gina Cody School. Dr. Akgunduz’s research has been published in leading journals, including IEEE Transactions, Computers in Industry, Transportation Research, JIDPS, and many others.
Yong Zeng, PhD
Professor
Professor
Yong Zeng, PhD is a Full Professor at the Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada. His research has focused on design theory and its applications to transdisciplinary design problems. Using the Environment-Based Design (EBD) methodology he has proposed, he and his colleagues have designed many algorithms including human vision-based non-parametric curve reconstruction algorithms DISCUR and VICUR, Gauging series non-parametric clustering algorithms, and a reinforcement learning-enabled automatic 2D quadrilateral mesh generation algorithm. He has pioneered EEG-based neurocognitive studies of human design, particularly creative design, founded on his work on formalizing conceptual and creative design activities. His work has been applied to behavior modeling and design in aerospace engineering, healthcare, learning and training, the construction industry, and sustainability, all supported by major grants funded by industry and government. He was Canada Research Chair (Tier II) in Design Science (2004-2014) and NSERC Chair in Aerospace Design Engineering (2015-2020). He is a member of the Board of Directors of the Society for Design and Process Science after having served as its president from 2019 to 2023.
1.30 - 1.44 PM A Maltese Spelling App for Dyslexic Learners
1.45 - 1.59 PM AI-Native Digital Twins (DTs) Framework for Smart Industry 4.0 and the Industrial Internet of Things (IIoT)
2.00 - 2.14 PM autoDrift: A Practical Drift Detection Framework for Production ML Systems
2.15 - 2.29 PM Emerging Use Cases of Artificial Intelligence in the Pharmaceutical Industry: Exploring emeriging use cases of Gen Ai and Agentic AI in Pharma
2.30 - 2.44 PM Energy-Efficient intelligent dynamic workload scheduling on High-Performance Computing systems
2.45 - 2.59 PM Hybrid Deep learning Model and Natural Language Processing for Cyberbullying Detection/ Online Safety
1.30 - 1.44 PM Integrating Differential Privacy into Blockchain Technology to Mitigate Identity Theft: Integrating Differential Privacy into Blockchain Technology
1.45 - 1.59 PM Neurosymbolic computing for relating oral health to systemic diseases: the role of ontologies and logic reasoning
2.00 - 2.14 PM Snapshot-Based Seizure Prediction in Pediatric EEG Using Deep Neural Networks
2.15 - 2.29 PM Transforming Land Dispute Resolution: Leveraging Artificial Intelligence, Next-Generation Survey Technologies, and Modern Land Governance
2.30 - 2.44 PM AI Software Tools in Dentistry and their Deployment within Neuromorphic Computing
2.45 - 2.59 PM Artificial Intelligence and Machine Learning in addressing Anti-Microbial Resistance: Learnings and Use cases of how AI and ML can be leveraged to address Anti Microbial Resistance
3.30 - 3.44 PM CARE Framework: A Unified Artificial Intelligence Platform for Enhanced Medical and Dental Patient Management
3.45 - 3.59 PM Energy-Efficient intelligent dynamic workload scheduling on High-Performance Computing systems
4.00 - 4.14 PM From Static Models to Dynamic Twins: A Review of Integrating AI/ML with Digital Twin Technology in Healthcare Administration
4.15 - 4.29 PM Leveraging GenAI for Change Readiness: Developing a Framework for Investigating Its Influence on Project Outcomes: Case-Based Study of ITeS Projects
4.30 - 4.44 PM Optimizing Retinal Disease Diagnosis using AI models: Comparative Performance of Deep Convolutional Networks and Distilled Models on OCT Data
4.45 - 4.59 PM Securing AI-Driven Imaging Workflows_A Process Science Perspective on Healthcare Cybersecurity
3.30 - 3.44 PM Quantifying Uncertainty in GenAI Conceptual Designs of Bicycles
3.45 - 3.59 PM CarbonNet: An Improved Lightweight CNN for Qualitative Estimation of Carbon Sequestration Using Remote Sensing Images
4.00 - 4.14 PM Accelerating Bayesian Tuning of Density-Based Clustering: A Mixed Hamiltonian Monte Carlo Approach
4.15 - 4.29 PM Evaluating LSTM Architectures to Determine a Baseline for Tree Transpiration Forecasting
4.30 - 4.44 PM Exploring Constructionist Learning through Knowledge Visualization to Establish Human-Machine Teaming (HMT) Relationships for Mentoring the Mathematical Optimization of Manufacturing Scheduling
4.45 - 4.59 PM Helping AI Understand Humans: Designing an AHP-Based Time-Prioritization Model for Dementia Caregivers Towards a GenAI-Powered Companion System
Dr. Ying-Chyi Chou
Professor
Professor
Dr. Ying-Chyi Chou served as a distinguished professor in Department of Business Administration, Tunghai University, Taiwan. She received a Ph.D. in Business and Management from National Chiao Tung University, Taiwan. She was a visiting scholar at Rhode Island University, 2014 and at Florida State University, 2008. Dr. Chou has won numerous best-paper awards. Her publications have appeared in International Journal of Business & Economics, International Journal of Production Research, Science Education International, Management and Applied Economics, Energy Efficiency, Quality & Quantity, among others. She has received the International Collaboration Research Award in Service Science presented by the Service Science Society of Taiwan and The Sayling Wen Cultural & Educational Foundation in 2014, and the Lu Feng Zhang Memorial Award for contribution in management practice by the Chinese Management Association in 2015. Dr. Chou served as the Vice Dean for the Office of Academic Affairs and the Chair of Department of Business Administration at Tunghai University. Dr. Chou’s research focuses on Human Resource Management, Decision Science, Healing/Friendly Environment, and Performance Management, Service Management. She was received external funding from nonprofit organization, governments, and industries, including Industrial Technology Research Institute (ITRI), Ministry of Education, Ministry of Science and Technology, Taichung Veterans General Hospital. Currently, Dr. Chou is a director of Center for Healing Environment Administration and Research (HEAR), Tunghai University. She is a reviewer for several professional journals.
Dr. Mehmet Akşit
Professor Emeritus
Professor Emeritus
Dr Akşit graduated with honours in electrical engineering and obtained a master's degree from Eindhoven University of Technology, Netherlands, in 1980. He received his Ph.D. from the University of Twente, Netherlands, in 1989. From November 2000 to October 2019, he worked as a Professor at the University of Twente, where he also served as the Head of the Software Engineering Department. Additionally, he has been a visiting professor and researcher at IBM Research Center (USA), New Jersey Institute of Technology (USA), the University of Tokyo (Japan), and the University of Malaya (Malaysia).
Dr. Akşit has conducted pioneering research in various areas of computer science including Aspect-Oriented Programming, Model-Driven Engineering, Software Architectures, and Multi-Objective Software Optimization techniques. Under TÜBİTAK’s International Leading Researchers Return Program, he worked as a professor at TOBB University of Economics and Technology in Ankara from January 2020 to June 2022, focusing on Digital Disaster Management Systems. Since June 2022, he has been conducting research on "Digital Disaster Management" at the AFAD Presidency. Through his work under the TÜBİTAK return program, he has developed pioneering digital techniques and founded the international organization World Alliance for Digital Disaster and Emergency Management (WADDEM.COM). Currently, researchers from 16 countries are members of this alliance, with more expected to join.
He has collaborated with several organizations and companies on industrial technology applications, including AFAD Presidency, Softtech, the European Union (as a technological and strategic consultant), Capgemini, TAI/TUSAŞ, Aselsan, Havelsan, STM, Arçelik-Beko, the Dutch Tax Authority, the Dutch Ministry of Traffic Systems, ASML, Philips Healthcare, NXP, Canon, Siemens, Origin, ICT, and Ericsson. In 2017, Mehmet Akşit was awarded the Priscilla and Raymond T. Yeh Lifetime Achievement Award in Software Research, Technology Innovation, or Engineering Education by SDPS in the United States.
Vincent J. Lopez
Founder and CEO of Parker Health, Inc
Founder and CEO of Parker Health, Inc
Vincent J. Lopez is the visionary Founder and CEO of Parker Health, Inc, a progressive biotechnology organization at the forefront of healthcare innovation for the next century. He spearheads strategic initiatives, product development, and governmental affairs, collaborating closely with key figures in the U.S. Congress and various government agencies, including HHS, NIH, CDC, and the Office of the National Coordinator for Health Information Technology(ONC); Mr. Lopez focuses on establishing industry standards, optimizing spending, reducing legacy technology costs, improving inefficiencies, elevating patient care and outcomes, and implementing Parker Health’s cutting-edge healthcare technology.
Beyond his role at Parker Health, he's commitment to advancing public health research is paramount. He holds a prominent appointment to the Dean's Council at the New York University, School of Global Public Health, and is the founder and Chair of the Lopez Clinical Innovation Studio(LCIS) @ NYU, School of Global Public Health. He serves as an External Advisory Council, Center for Decision Support Systems & Informatics, University of Central Florida, and the Vice Chair, IEEE Data Quality Standards for Medical Records Workgroup. Additionally, he holds memberships in esteemed organizations such as the Royal Society of Medicine, and the Sequoia Project. Mr. Lopez's research interest includes health disparities in minority communities, Social Determinants of Health (SDOH) outcomes, regulatory frameworks & standards for Electronic Health Records (EHRs) & clinical decision support (CDS) solutions, and the research and development of artificial intelligence & machine learning algorithms for EHRs and CDS.
Mr. Lopez was named to the Forbes 30 Under 30 Class of 2023. He is a mentor who advises aspiring and current entrepreneurs at the NASDAQ Entrepreneurial Center, as well as for a health equity accelerator program sponsored by the Johnson & Johnson Venture Impact Fund. He contributes his expertise to various boards, including the Family Childcare Alliance of Maryland.
In 2015, Mr. Lopez was nominated by Governor Tom Wolf to the Pennsylvania State System of Higher Education Board of Governors. He was student body president at the Indiana University of Pennsylvania, where he majored in English and political science. He also completed a fellowship furthering STEM education in minority communities with Organizing for Action, a nonprofit founded to support the agenda of President Barack Obama, and he has worked on programs for the U.S. Department of Homeland Security and the U.S. Department of Defense.
A native of Sacramento, CA, Mr. Lopez was raised in Arlington, VA and resides in Washington, DC where he created the Lopez Foundation, a nonprofit working to advance education and health access in disadvantaged communities. When not shaping the future of healthcare, he indulges his passion for playing golf, fishing, and enjoys spectating basketball, Formula 1, and horse racing.
Murat M. Tanik
Roger Azevedo, Ph.D.
Professor at the School of Modeling Simulation and Training
Professor at the School of Modeling Simulation and Training
Prof. Carl James Debono
Dean of the Faculty of ICT
Dean of the Faculty of ICT
Prof. Carl James Debono, obtained his B.Eng.(Hons.) degree in Electrical Engineering from the University of Malta, Malta in 1997 and Ph.D. degree in Electronics and Computer Engineering from the University of Pavia, Italy in 2001. In 1997 he was employed as a Research Engineer with the Department of Microelectronics at the University of Malta. In 2001 he was appointed Lecturer in Communications and Computer Engineering at the University of Malta and was promoted to Senior Lecturer in 2006, to Associate Professor in 2011 and to Professor in 2017. Prof. Debono has served as Deputy Dean of the Faculty of ICT between November 2009 and September 2015. He also served as Head of the Department of Communications and Computer Engineering between October 2015 and September 2019. He is currently the Dean of the Faculty of ICT. Prof. Debono has participated in a number of local and European research projects in the area of communication systems and image/video processing. His research interests are in Resilient Multimedia Transmission, Multi-view Video Coding, and Computer Vision.
1.30 - 1.45 PM Evaluating DBMS Options: Systematic Criteria and Research-Based Insights
Dr. Ying-Chyi Chou
Professor
Professor
Dr. Ying-Chyi Chou served as a distinguished professor in Department of Business Administration, Tunghai University, Taiwan. She received a Ph.D. in Business and Management from National Chiao Tung University, Taiwan. She was a visiting scholar at Rhode Island University, 2014 and at Florida State University, 2008. Dr. Chou has won numerous best-paper awards. Her publications have appeared in International Journal of Business & Economics, International Journal of Production Research, Science Education International, Management and Applied Economics, Energy Efficiency, Quality & Quantity, among others. She has received the International Collaboration Research Award in Service Science presented by the Service Science Society of Taiwan and The Sayling Wen Cultural & Educational Foundation in 2014, and the Lu Feng Zhang Memorial Award for contribution in management practice by the Chinese Management Association in 2015. Dr. Chou served as the Vice Dean for the Office of Academic Affairs and the Chair of Department of Business Administration at Tunghai University. Dr. Chou’s research focuses on Human Resource Management, Decision Science, Healing/Friendly Environment, and Performance Management, Service Management. She was received external funding from nonprofit organization, governments, and industries, including Industrial Technology Research Institute (ITRI), Ministry of Education, Ministry of Science and Technology, Taichung Veterans General Hospital. Currently, Dr. Chou is a director of Center for Healing Environment Administration and Research (HEAR), Tunghai University. She is a reviewer for several professional journals.
Yong Zeng, PhD
Professor
Professor
Yong Zeng, PhD is a Full Professor at the Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada. His research has focused on design theory and its applications to transdisciplinary design problems. Using the Environment-Based Design (EBD) methodology he has proposed, he and his colleagues have designed many algorithms including human vision-based non-parametric curve reconstruction algorithms DISCUR and VICUR, Gauging series non-parametric clustering algorithms, and a reinforcement learning-enabled automatic 2D quadrilateral mesh generation algorithm. He has pioneered EEG-based neurocognitive studies of human design, particularly creative design, founded on his work on formalizing conceptual and creative design activities. His work has been applied to behavior modeling and design in aerospace engineering, healthcare, learning and training, the construction industry, and sustainability, all supported by major grants funded by industry and government. He was Canada Research Chair (Tier II) in Design Science (2004-2014) and NSERC Chair in Aerospace Design Engineering (2015-2020). He is a member of the Board of Directors of the Society for Design and Process Science after having served as its president from 2019 to 2023.
Professor of Intelligent Systems, Ulster University, UK
SDPS Founding Member
Physician
READ BIOPhysician
Dr. Frank Skidmore is a physician residing in Birmingham Alabama with a longstanding research focus in imaging and artificial intelligence. In 2018, Dr. Skidmore transitioned from an NIH-funded academic career to entrepreneurship, founding Analytical AI with colleagues and PhD mentees from his University of Alabama at Birmingham brain imaging laboratory. Initially founded as a medical AI company, Analytical AI is the recognized leader in applications of artificial intelligence to United States airport security, with contracts with the Department of Homeland Security, the TSA, Customs and Border Protection, Sandia National Labs, the US Army and Navy, and several commercial companies. Dr. Skidmore more recently founded eXElectros with Dr. Murat Tanik and colleague Greg Franklin. eXElectros is focused on improving the efficiency of electrical conductivity using theoretical models developed by Murat Tanik, a SDPS founder. Dr. Skidmore has authored over 60 peer reviewed published works and several patents, including active multi-country patents (and academic work) currently in process and review.
SDPS Founding Member
READ BIOSDPS Founding Member
Dr. Raymond Yeh taught at several universities and led two Computer Science departments to top-10 national rankings. He has held Endowed Professorships at two universities and honorary professorships at five universities.
Yeh was the founding editor-in-chief of IEEE Transactions on Software Engineering and the founder of the "International Software Engineering Conference" and helped Software Engineering to become a formal academic discipline. He also co-founded two professional societies and two software companies. He has been a consultant to many nations, global enterprises as well as start-up companies.
Yeh is a Life fellow of the Institute of Electrical and Electronic Engineers (IEEE), the Society for Design and Process Science (SDPS), and a senior research fellow at IC2 Institute at the University of Texas at Austin. He received several prestigious awards and was featured by various media in several nations."
Director of Global Business Strategy & Intelligence (GBSI)
READ BIODirector of Global Business Strategy & Intelligence (GBSI)
Purva Rajkotia is the Director of Global Business Strategy & Intelligence (GBSI) and the Connectivity and Telecom Practice Lead at IEEE Standards Association (IEEE SA). Prior to IEEE, Purva held leadership positions with Qualcomm, Samsung, and Disney in various capacities. Purva also held leadership positions in various standards organizations such as IEEE, ITU, 3GPP, 3GPP2, CENELEC, etc. He has authored more than 100 patents granted by the USPTO (US Patent Office) and other worldwide patent organizations. He is one of the co-authors of the chapter on Powerline Communications in the book "MIMO Power Line Communications Narrow and Broadband Standards, EMC, and Advanced Processing" by CRC Press. He obtained his MSEE degree from the Georgia Institute of Technology and his MBA from CSU.
Assistant Professor
READ BIOAssistant Professor
Dr. Ibtesam Sayedalameen Mohamad Almami is an Assistant Professor in the Department of Biology at Qassim University in Buraydah, Saudi Arabia. She earned her Ph.D. in Biotechnology from Nottingham Trent University in the United Kingdom with emphasis on molecular biotechnology, cell biology, and proteomics. A significant focus of her work involves the study of transglutaminases (TGs), a family of Ca²⁺-dependent
enzymes that catalyze post-translational modifications of proteins. She has investigated the role of TG2 in cytoprotection, particularly its mediation by PKA and PKC signaling pathways in cardiomyocyte-like H9c2 cells. Her work continues to enhance the understanding of enzyme functions in various biological contexts, including their roles in disease mechanisms and potential therapeutic applications. Dr. Ibtesam Sayedalameen Mohamad Almami has also been actively involved in delivering subjects in the department of Biology, supervising MSc and PhD students, publishing, and conducting collaborative local and international research.
Head of Department for Public Health at the University of Malta Medical School
READ BIOHead of Department for Public Health at the University of Malta Medical School
Prof Neville Calleja is the Head of Department for Public Health at the University of Malta Medical School, which is affiliated with the Association of Schools of Public Health in the European Region (ASPHER). He is also Director for Health Information & Research within the Ministry for Health in Malta, Europe. This is the national health data repository for the country of Malta and also the designated Health Data Access Body for the newly setup European Health Data Space (EHDS) within the EU. He also served as Chief Medical Officer for Malta a few years ago. During the COVID-19 emergency period, he has been a senior member of Malta's COVID-19 Response Team and has also been involved in discussions on COVID-19 monitoring and other public health policy at EU level. He has also been supporting WHO (Europe) and WHO Global (Geneva) on several areas, mainly however on assessment of national health information systems since 2016.
Researcher
READ BIOResearcher
Dr Radmila Juric is an SDPS fellow, with 30+ years of experience as an academic, working in the UK Higher Education, in various capacities: from lecturing, course development and management, and academic quality assurance, to research management, supervision, and editorial jobs. Dr Juric has published extensively, contributed towards academic events in various roles, delivered talks in academia and in industry and encouraged young scholars to undertake interdisciplinary research, which she has been passionately promoting for decades. Her research interest is wide and spans decades of publishing on software interoperability, semantic technologies, software architectures, pervasive computational environments, translational bioinformatics and generative AI. Over the last five years Dr Juric has focused on research trends which range from intelligent computational edge, computing continuum and human machine augmentation to addressing problems of obscurity, explainability and bias of AI algorithms and the way we evaluate AI models. The synergy of logic and predictive inference, has triggered her research on transdiagnostic dimension of mental health disorders in computational psychiatry, semantics of prompting mechanisms in generative AI and the impact of logic reasoning in knowledge augmented generation when using GenAI.
Researcher
READ BIOResearcher
Dr. Eiman Sayedalamin Almami is an independent UK researcher, holding a Ph.D. in Computing from Plymouth University, United Kingdom. Dr Almami’s long term research interest is in assistive technologies and educational improvements, with technology enhanced learning. She is particularly interested in creating computational models for software solutions which generate inclusive and adaptive learning environments, with emphasis on differences in learning and individual neurodevelopments. Dr Almami also specialises in exploiting the first order logic and semantic web technologies for creating dynamic, adaptable and context aware software solutions based on reasoning, which address a range of problems related to knowledge generation, discoveries and dissemination across healthcare deliveries, biomedicine, pharmacology, medical diagnostics and education. Currently, dr Eiman Sayedalamin Almami works on the possibilities of enhancing GenAI technologies for knowledge discovery, by looking at the type of inference triggered by the existence of LLM and their shortcomings knowledge generation.
Founding Member and a Fellow of the Society for Design and Process Science (SDPS)
READ BIOFounding Member and a Fellow of the Society for Design and Process Science (SDPS)
Professor Stephen Ekwaro-Osire is a founding member and a Fellow of the Society for Design and Process Science (SDPS). For the last 22 years, he has served as honorary editor, senior advisory board member, managing editor, and director of the editorial board of SPDS’s Journal of Integrated Design and Process Science. He has reviewed and published extensively in the Journal of Integrated Design and Process Science. He has also served as plenary presenter, paper presenter, program committee member, session developer, session organizer, and session chair at least 17 annual SDPS conferences. Professor Ekwaro-Osire is a Fellow of the American Society of Mechanical Engineers (ASME). He has held various leadership positions at ASME. Most recently, he was the chair of the executive committee of the Safety Engineering and Risk Analysis Division. He has also served for the last several years as a member of the editorial board of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering & Part B: Mechanical Engineering. Professor Ekwaro-Osire is the associate dean for undergraduate studies at the Whitacre College of Engineering at Texas Tech University (TTU). He is a full professor of mechanical engineering and a licensed professional engineer in the State of Texas. While at TTU, he has held honorary professorships at four universities in four countries. His research interests include uncertainty quantification, structural health diagnosis and prognosis, engineering design, and orthopedic biomechanics. Recently, he has become keen on quantifying the risk and uncertainty when applying artificial intelligence and generative artificial intelligence to address compelling questions in these areas. He has published 83 refereed archival papers in scientific journals, 151 refereed papers in conference proceedings, 14 book chapters, and two books. He has also delivered 41 invited talks in eight countries. As a primary advisor, he has supervised and graduated 20 PhD students and 31 MS students, and currently supervises three PhD students. Besides being a primary advisor, he has also served on 91 PhD and 60 MS committees. He has mentored and trained eight post-doctoral research associates. Also, as the founder and director of the Product Design & Development Laboratory, he supervised and mentored over 250 undergraduate students. State agencies, federal agencies, international funding agencies, and industry have funded his research.
Professor Emeritus
READ BIOProfessor Emeritus
Dr Akşit graduated with honours in electrical engineering and obtained a master's degree from Eindhoven University of Technology, Netherlands, in 1980. He received his Ph.D. from the University of Twente, Netherlands, in 1989. From November 2000 to October 2019, he worked as a Professor at the University of Twente, where he also served as the Head of the Software Engineering Department. Additionally, he has been a visiting professor and researcher at IBM Research Center (USA), New Jersey Institute of Technology (USA), the University of Tokyo (Japan), and the University of Malaya (Malaysia).
Dr. Akşit has conducted pioneering research in various areas of computer science including Aspect-Oriented Programming, Model-Driven Engineering, Software Architectures, and Multi-Objective Software Optimization techniques. Under TÜBİTAK’s International Leading Researchers Return Program, he worked as a professor at TOBB University of Economics and Technology in Ankara from January 2020 to June 2022, focusing on Digital Disaster Management Systems. Since June 2022, he has been conducting research on "Digital Disaster Management" at the AFAD Presidency. Through his work under the TÜBİTAK return program, he has developed pioneering digital techniques and founded the international organization World Alliance for Digital Disaster and Emergency Management (WADDEM.COM). Currently, researchers from 16 countries are members of this alliance, with more expected to join.
He has collaborated with several organizations and companies on industrial technology applications, including AFAD Presidency, Softtech, the European Union (as a technological and strategic consultant), Capgemini, TAI/TUSAŞ, Aselsan, Havelsan, STM, Arçelik-Beko, the Dutch Tax Authority, the Dutch Ministry of Traffic Systems, ASML, Philips Healthcare, NXP, Canon, Siemens, Origin, ICT, and Ericsson. In 2017, Mehmet Akşit was awarded the Priscilla and Raymond T. Yeh Lifetime Achievement Award in Software Research, Technology Innovation, or Engineering Education by SDPS in the United States.
Dean of the Faculty of ICT
READ BIODean of the Faculty of ICT
Prof. Carl James Debono, obtained his B.Eng.(Hons.) degree in Electrical Engineering from the University of Malta, Malta in 1997 and Ph.D. degree in Electronics and Computer Engineering from the University of Pavia, Italy in 2001. In 1997 he was employed as a Research Engineer with the Department of Microelectronics at the University of Malta. In 2001 he was appointed Lecturer in Communications and Computer Engineering at the University of Malta and was promoted to Senior Lecturer in 2006, to Associate Professor in 2011 and to Professor in 2017. Prof. Debono has served as Deputy Dean of the Faculty of ICT between November 2009 and September 2015. He also served as Head of the Department of Communications and Computer Engineering between October 2015 and September 2019. He is currently the Dean of the Faculty of ICT. Prof. Debono has participated in a number of local and European research projects in the area of communication systems and image/video processing. His research interests are in Resilient Multimedia Transmission, Multi-view Video Coding, and Computer Vision.
Professor
READ BIOProfessor
Dr. Ying-Chyi Chou served as a distinguished professor in Department of Business Administration, Tunghai University, Taiwan. She received a Ph.D. in Business and Management from National Chiao Tung University, Taiwan. She was a visiting scholar at Rhode Island University, 2014 and at Florida State University, 2008. Dr. Chou has won numerous best-paper awards. Her publications have appeared in International Journal of Business & Economics, International Journal of Production Research, Science Education International, Management and Applied Economics, Energy Efficiency, Quality & Quantity, among others. She has received the International Collaboration Research Award in Service Science presented by the Service Science Society of Taiwan and The Sayling Wen Cultural & Educational Foundation in 2014, and the Lu Feng Zhang Memorial Award for contribution in management practice by the Chinese Management Association in 2015. Dr. Chou served as the Vice Dean for the Office of Academic Affairs and the Chair of Department of Business Administration at Tunghai University. Dr. Chou’s research focuses on Human Resource Management, Decision Science, Healing/Friendly Environment, and Performance Management, Service Management. She was received external funding from nonprofit organization, governments, and industries, including Industrial Technology Research Institute (ITRI), Ministry of Education, Ministry of Science and Technology, Taichung Veterans General Hospital. Currently, Dr. Chou is a director of Center for Healing Environment Administration and Research (HEAR), Tunghai University. She is a reviewer for several professional journals.
Founder and CEO of Parker Health, Inc
READ BIOFounder and CEO of Parker Health, Inc
Vincent J. Lopez is the visionary Founder and CEO of Parker Health, Inc, a progressive biotechnology organization at the forefront of healthcare innovation for the next century. He spearheads strategic initiatives, product development, and governmental affairs, collaborating closely with key figures in the U.S. Congress and various government agencies, including HHS, NIH, CDC, and the Office of the National Coordinator for Health Information Technology(ONC); Mr. Lopez focuses on establishing industry standards, optimizing spending, reducing legacy technology costs, improving inefficiencies, elevating patient care and outcomes, and implementing Parker Health’s cutting-edge healthcare technology.
Beyond his role at Parker Health, he's commitment to advancing public health research is paramount. He holds a prominent appointment to the Dean's Council at the New York University, School of Global Public Health, and is the founder and Chair of the Lopez Clinical Innovation Studio(LCIS) @ NYU, School of Global Public Health. He serves as an External Advisory Council, Center for Decision Support Systems & Informatics, University of Central Florida, and the Vice Chair, IEEE Data Quality Standards for Medical Records Workgroup. Additionally, he holds memberships in esteemed organizations such as the Royal Society of Medicine, and the Sequoia Project. Mr. Lopez's research interest includes health disparities in minority communities, Social Determinants of Health (SDOH) outcomes, regulatory frameworks & standards for Electronic Health Records (EHRs) & clinical decision support (CDS) solutions, and the research and development of artificial intelligence & machine learning algorithms for EHRs and CDS.
Mr. Lopez was named to the Forbes 30 Under 30 Class of 2023. He is a mentor who advises aspiring and current entrepreneurs at the NASDAQ Entrepreneurial Center, as well as for a health equity accelerator program sponsored by the Johnson & Johnson Venture Impact Fund. He contributes his expertise to various boards, including the Family Childcare Alliance of Maryland.
In 2015, Mr. Lopez was nominated by Governor Tom Wolf to the Pennsylvania State System of Higher Education Board of Governors. He was student body president at the Indiana University of Pennsylvania, where he majored in English and political science. He also completed a fellowship furthering STEM education in minority communities with Organizing for Action, a nonprofit founded to support the agenda of President Barack Obama, and he has worked on programs for the U.S. Department of Homeland Security and the U.S. Department of Defense.
A native of Sacramento, CA, Mr. Lopez was raised in Arlington, VA and resides in Washington, DC where he created the Lopez Foundation, a nonprofit working to advance education and health access in disadvantaged communities. When not shaping the future of healthcare, he indulges his passion for playing golf, fishing, and enjoys spectating basketball, Formula 1, and horse racing.
Chief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC)
READ BIOChief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC)
Prof. Patrick Then assumed the Chief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC) since March 2025. SAIC aims to accelerate Sarawak economic growth by leveraging AI technologies. SAIC conducts high-impact research and development for Sarawak’s needs, and advises policymakers on AI governance, policy, audit, and talent development.
Before that, he led School of ICT as Head of School, Centre for Digital Futures as Director, Swinburne University of Technology Sarawak. As SAIC CEO, he continues mentoring researchers and academics in academia. He has been recognized as eminent researcher in health informatics in the region collaborating with prominent cardiologists and clinicians in Clinical Research Centre Sarawak General Hospital in Malaysia and the National Institutes of Health, Ministry of Health Malaysia. He has published papers in high impact journals and proceedings. He is a strong advocate of transdisciplinary research where he translated artificial intelligence techniques into healthcare, manufacturing and other applications. He is a sought-after keynote speaker in IT and cardiology conferences in Europe, India, Indonesia and South Korea. He is the holder of multiple patents and software copyrights that have been translated into commercial product. He is a highly recognised digital health Key Opinion Leader by Ministry of Health Malaysia.
He is an elected fellow of the European Society of Cardiology, fellow of the Society for Design and Process Science USA, Senior member of Australian Computer Society, Senior member of IEEE, and Board member of Sarawak Development Institute.
Senior Technical Director/Chief Solutions Architect and Science Advisor
READ BIOSenior Technical Director/Chief Solutions Architect and Science Advisor
Dr. John N. Carbone has served the defense industry for ~36 years. Dr. Carbone currently serves as Senior Technical Director/Chief Solutions Architect and science advisor to Everfox (Formerly Forcepoint, LLC), within their Global Governments and Critical Infrastructure division. Prior to Everfox, he has served as Raytheon Engineering Fellow, Chief Science Advisor, Product Area Technology Director, Chief Engineer for Innovation, and Chief Data Architect & Scientist for globally distributed Big Data, High Performance Compute, and Cloud programs. Dr. Carbone received his undergraduate degree in Computer Science from Baylor University, MSE from Texas Tech University, Software and Systems Engineering from University of Texas at Austin, and Mechanical Engineering PhD from Texas Tech University where his research focus was enhancing information theory by combining cognition-based frameworks, processes, and adaptations of space-time relationship mechanics. Dr. Carbone began his career developing real-time embedded voice, cyber, and data communications solutions for satellite tracking and secure switching systems. Subsequently, he forged bridges between High Performance Computing environments and Cloud architectures for distributed enterprises. Dr. Carbone was instrumental in providing architecture, design, implementation, security, and fielding of software systems which led to the development of strategic analysis focused information sharing automation programs considered paradigm shifts for US government organizations.
Associate Professor
READ BIOAssociate Professor
Dr. Justin Dauwels is an Associate Professor at the TU Delft (Signal Processing Systems, Department of Microelectronics), and serves as co-Director of the Safety and Security Institute at the TU Delft. He was an Associate Professor of the School of Electrical and Electronic Engineering at the Nanyang Technological University (NTU) in Singapore till the end of 2020. At the TU Delft, he serves as scientific lead of the Model-Driven Decisions Lab (MoDDL), a first lab for the Knowledge Building program between the police and the TU Delft. He also serves as Chair of the EE Board of Studies at the TU Delft, and is a board member of the Co van Ledden Hulsebosch Center (Netherlands Center for Forensic Science and Medicine). His research interests are in data analytics with applications to intelligent transportation systems, autonomous systems, and analysis of human behaviour and physiology. He obtained his PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich in December 2005. Moreover, he was a postdoctoral fellow at the RIKEN Brain Science Institute (2006-2007) and a research scientist at the Massachusetts Institute of Technology (2008-2010).
Professor
READ BIOProfessor
Yong Zeng, PhD is a Full Professor at the Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada. His research has focused on design theory and its applications to transdisciplinary design problems. Using the Environment-Based Design (EBD) methodology he has proposed, he and his colleagues have designed many algorithms including human vision-based non-parametric curve reconstruction algorithms DISCUR and VICUR, Gauging series non-parametric clustering algorithms, and a reinforcement learning-enabled automatic 2D quadrilateral mesh generation algorithm. He has pioneered EEG-based neurocognitive studies of human design, particularly creative design, founded on his work on formalizing conceptual and creative design activities. His work has been applied to behavior modeling and design in aerospace engineering, healthcare, learning and training, the construction industry, and sustainability, all supported by major grants funded by industry and government. He was Canada Research Chair (Tier II) in Design Science (2004-2014) and NSERC Chair in Aerospace Design Engineering (2015-2020). He is a member of the Board of Directors of the Society for Design and Process Science after having served as its president from 2019 to 2023.
Professor in the Department of Mechanical, Industrial, and Aerospace Engineering
READ BIOProfessor in the Department of Mechanical, Industrial, and Aerospace Engineering
Dr. Ali Akgunduz is a Professor in the Department of Mechanical, Industrial, and Aerospace Engineering at the Gina Cody School of Engineering and Computer Science, Concordia University. He also serves as the Associate Dean responsible for academic programs. Before joining the Gina Cody School in 2003, Dr. Akgunduz worked at United Airlines headquarters in Chicago, IL, as an R&D Engineer in Revenue Management, where he developed optimization and simulation tools for the company. His research primarily focuses on applying operations research to complex systems, with a particular emphasis on the aviation industry. In recent years, he has been exploring AI and optimization techniques to enhance academic program design and establish evidence-based continual improvement processes in higher education. His team has developed a decision-support tool to effectively implement and monitor the continual improvement process at the Gina Cody School. Dr. Akgunduz’s research has been published in leading journals, including IEEE Transactions, Computers in Industry, Transportation Research, JIDPS, and many others.
Professor Emeritus
READ BIOProfessor Emeritus
Sally McClean received her first degree in Mathematics from Oxford University, and then obtained a MSc in Mathematical Statistics and Operational Research from Cardiff University, followed by a PhD on Markov and semi-Markov models at Ulster University. She is currently Professor of Mathematics at Ulster University. Her main research interests are in Stochastic Modelling and Optimisation, particularly for Healthcare Planning, and Computer Science, specifically Process Mining, Databases, Internet of Things, Sensor Technology and Telecommunications. She has been grant holder on over £13 million worth of funding, mainly from the EPSRC, Industry, the EU and charities. Sally is a Fellow of the Royal Statistical Society, Fellow of the Operational Research Society, Fellow of the IMA, past President of the Irish Statistical Association and Member of the IEEE. She has published over four hundred research papers and was previously a recipient of Ulster University’s Senior Distinguished Research Fellowship.
Professor and Chief Researcher
READ BIOProfessor and Chief Researcher
Dr. Rytis Maskeliunas currently works as a full professor and as a chief researcher at the Faculty of Informatics in Kaunas University of Technology, Lithuania, as well as an invited professor at the Faculty of Applied Mathematics in Silesian University of Technology, Poland and Faculty of Informatics at Vytautas Magnus University. His primary area of scientific research is the application of contemporary artificial intelligence technologies for medical multimodal signal processing, with a particular focus on the analysis, screening and diagnosis of neurological impairments, where he was awarded “Innovation of the year award” for his studies in the classification of neurological diseases in 2023 and 2021. He is an author /co-author of over 200 refereed research publications (WOS H=32, ORCID 0000-0002-2809-2213). Rytis served as the National Expert @ European Horizon-ICT Committee with experience in multiple International research organizations, as well as an editor/reviewer/committee member for various International journals. He has coordinated / participated in multiple research projects in the Computer Science domain and was involved in the EU COST actions 278, 2102, IC1002, CA15122, CA16101 and currently is an MC member in CA19136 and 22136. In his field Rytis has an experience of supervising 8 Ph.D. students.
Assistant Professor (Research) in Computer Engineering
READ BIOAssistant Professor (Research) in Computer Engineering
Varadraj Gurupur, PhD is currently working as an Associate Professor with the School of Health Management and Informatics and has a joint appointment with the Department of Computer Science, and Department of Electrical and Computer Engineering with the University of Central Florida (UCF). He is also the founding member and Director of the Center for Decision Support Systems and Informatics at UCF. Dr. Gurupur received his Doctoral degree in Computer Engineering from the University of Alabama at Birmingham in 2010. Dr. Gurupur is a recipient of two international awards, two national awards, and several regional and institutional awards. This includes the prestigious AHIMA Research Award in the year 2017, and the AHIMA Triumph Award for Innovation in 2021. Additionally, he is also the recipient of the prestigious Joseph M. Biedenbach Outstanding Engineering Educator Award from IEEE Region 3 and the recipient of FHIMA Literary Award in 2016. His core research is focused on software engineering decision support systems for healthcare and education. Dr. Gurupur is also someone who has worked in the healthcare industry for several years. Based on this work experience and academic training he is involved in discovering innovative solutions to difficult problems associated with Electronic Health Records. Dr. Gurupur has more than 100 publications which include: edited book, book chapters, journal articles, conference papers, abstracts, and published reviews. Additionally, he has been involved in many research projects funded by the United States Federal government agencies such as National Science Foundation, and National Institutes of Health.
Professor at the School of Modeling Simulation and Training
READ BIOProfessor at the School of Modeling Simulation and Training
In the last couple of years, knowledge management and discoveries in Biomedical Science have advanced through the application of Generative AI technologies across various domains, which range from drug discoveries, development and repurposing, patient care/healthcare delivery and pharmacovigilance to summarising biomedical research advances/results and creating collaborative transdisciplinary collaborations. However, there is overwhelming evidence that the precision of generative AI technologies in knowledge discovery/dissemination is debatable. It is difficult to ultimately create or discover knowledge we need and trust, using GenAI and thus it is prudent to highlight that predictive inference might not be able to create/discover knowledge which is valid beyond reasonable doubt. There are numerus attempts to address this deficiency of predictive inference in GenAI, particularly if the technology relies on LLM. We have witnessed the development of Retrieval Augmented Generation (RAG) and Knowledge Augmented Generation (KAG) which tried to bring the power of logic reasoning to the world on LLM powered by deep neural networks (NN).
However, neither RAG nor KAG have managed to address crucial problems. The current GenAI falls short of reasoning, because human-like reasoning and logic deductions cannot be achieved solely with learning and predictive technologies. The gap between predictive and logic inference is widening and the goal of achieving human level intelligence and cognition in the current NN powered AI is still out of reach.
In this workshop we go a step forward and look at the power of Neurorsymbolic (NeSy) paradigm which brings logic reasoning and predictive inference together. We stay away from any type of integration between them for preserving the autonomy of symbolic and non-symbolic computing. We debate software architectural model for NeSy AI and outline software components which house suitable computational algorithms according to the context in which we perform NeSy computing. We show a rather small excerpt of possibilities of creating NeSy environments where logic reasoning and predictive inference cohabit. Reasoning with SWRl enabled OWL ontologies are juxtaposed to NN powered LLM in GenAI and examples given show how these two different types of computations can enhance each other. This can be demonstrated though a) Population of ontologies with result of ChatGPT queries, b) Validation of ChatGPT results against the facts stored in ontologies and c) Creation of semantic ChatGPT prompting for enhancing ChatGPT answers and enabling b) above. The workshop will also
(a) debate our generic software architecture proposal which enhances GenAI with logic reasoning;
(b) outline which software platforms and GenAI models are suitable or needed to create operational environments where results of applying GenAI are valid beyond reasonable doubt.
The field of biomedical science proved to be ideal to use in this workshop for a variety of reasons. There is an abundance of examples in biomedicine and life sciences to illustrate problems of using GenAI. However, the outcome of the workshop is applicable to the use of GenAI technologies in general and across problem domains, particularly if our dependence in creating GenAI models will still depend on LLM in future.
Dr. Ibtesam Sayedalameen Mohamad Almami is an Assistant Professor in the Department of Biology at Qassim University in Buraydah, Saudi Arabia. She earned her Ph.D. in Biotechnology from Nottingham Trent University in the United Kingdom with emphasis on molecular biotechnology, cell biology, and proteomics. A significant focus of her work involves the study of transglutaminases (TGs), a family of Ca²⁺-dependent enzymes that catalyze post-translational modifications of proteins. She has investigated the role of TG2 in cytoprotection, particularly its mediation by PKA and PKC signaling pathways in cardiomyocyte-like H9c2 cells. Her work continues to enhance the understanding of enzyme functions in various biological contexts, including their roles in disease mechanisms and potential therapeutic applications. Dr. Ibtesam Sayedalameen Mohamad Almami has also been actively involved in delivering subjects in the department of Biology, supervising MSc and PhD students, publishing, and conducting collaborative local and international research.
Dr. Radmila Juric
Researcher
Dr Radmila Juric is an SDPS fellow, with 30+ years of experience as an academic, working in the UK Higher Education, in various capacities: from lecturing, course development and management, and academic quality assurance, to research management, supervision, and editorial jobs. Dr Juric has published extensively, contributed towards academic events in various roles, delivered talks in academia and in industry and encouraged young scholars to undertake interdisciplinary research, which she has been passionately promoting for decades. Her research interest is wide and spans decades of publishing on software interoperability, semantic technologies, software architectures, pervasive computational environments, translational bioinformatics and generative AI. Over the last five years Dr Juric has focused on research trends which range from intelligent computational edge, computing continuum and human machine augmentation to addressing problems of obscurity, explainability and bias of AI algorithms and the way we evaluate AI models. The synergy of logic and predictive inference has triggered her research on transdiagnostic dimension of mental health disorders in computational psychiatry. However, the same symbiosis of symbolic computing and neural network powered LLM, pushed her research towards neurosymbolic computing for building trustworthy AI/GenAI.
Dr. Eiman Sayedalamin Almami
Researcher
Dr. Eiman Sayedalamin Almami is an independent UK researcher, holding a Ph.D. in Computing from Plymouth University, United Kingdom. Dr Almami’s long term research interest is in assistive technologies and educational improvements, with technology enhanced learning. She is particularly interested in creating computational models for software solutions which generate inclusive and adaptive learning environments, with emphasis on differences in learning and individual neurodevelopments. Dr Almami also specialises in exploiting the first order logic and semantic web technologies for creating dynamic, adaptable and context aware software solutions based on reasoning, which address a range of problems related to knowledge generation, discoveries and dissemination across healthcare deliveries, biomedicine, pharmacology, medical diagnostics and education. Currently, dr Eiman Sayedalamin Almami works on the possibilities of enhancing GenAI technologies for knowledge discovery, by looking at the type of inference triggered by the existence of LLM and their shortcomings knowledge generation.
Dr. Jamal Alotaibi
Researcher
Dr. Jamal Alotaibi earned his Bachelor of Science degree in Computer Engineering from Qassim University in 2012. He furthered his education at Wayne State University, where he obtained a Master of Science degree in Electrical and Computer Engineering in 2016.
Dr. Alotaibi has professional experience as a Network Engineer at STC, a leading telecommunications company, and subsequently worked as a Software Engineer at Ford Motor Company in Michigan from 2018 to 2022. He completed his Ph.D. in Electrical and Computer Engineering at Wayne State University in 2022.
In addition to his academic roles, Dr. Alotaibi serves as the Head of the Scientific Committee in the College of Computing at Qassim University. He is also the Chairman of the First International Conference on Emerging Technology and Innovations 2025, organized by the Ministry of Education in Saudi Arabia.
His research interests encompass Internet of Things (IoT) applications and security, computer networks, wireless and mobile networks, machine learning, and neuro-symbolic computing. Currently, Dr Alotaibi serves as an Assistant Professor and Head of the Computer Engineering Department at Qassim University.
IEEE Standards Association has started an ICAID Workgroup on Global Data Quality Standards for Electronic Health Records. This group has defined many key terms in digital health and is in the process of rolling out standards on identifying electronic health record systems. Additionally, the workgroup has made significant progress in many other concepts associated with electronic health record systems from a system of systems perspective.
Purva Rajkotia
Director of Global Business Strategy & Intelligence (GBSI)
Purva Rajkotia is the Director of Global Business Strategy & Intelligence (GBSI) and the Connectivity and Telecom Practice Lead at IEEE Standards Association (IEEE SA). Prior to IEEE, Purva held leadership positions with Qualcomm, Samsung, and Disney in various capacities. Purva also held leadership positions in various standards organizations such as IEEE, ITU, 3GPP, 3GPP2, CENELEC, etc. He has authored more than 100 patents granted by the USPTO (US Patent Office) and other worldwide patent organizations. He is one of the co-authors of the chapter on Powerline Communications in the book "MIMO Power Line Communications Narrow and Broadband Standards, EMC, and Advanced Processing" by CRC Press. He obtained his MSEE degree from the Georgia Institute of Technology and his MBA from CSU.
Varadraj Gurupur
Assistant Professor (Research) in Computer Engineering
Varadraj Gurupur, PhD is currently working as an Associate Professor with the School of Health Management and Informatics and has a joint appointment with the Department of Computer Science, and Department of Electrical and Computer Engineering with the University of Central Florida (UCF). He is also the founding member and Director of the Center for Decision Support Systems and Informatics at UCF. Dr. Gurupur received his Doctoral degree in Computer Engineering from the University of Alabama at Birmingham in 2010. Dr. Gurupur is a recipient of two international awards, two national awards, and several regional and institutional awards. This includes the prestigious AHIMA Research Award in the year 2017, and the AHIMA Triumph Award for Innovation in 2021. Additionally, he is also the recipient of the prestigious Joseph M. Biedenbach Outstanding Engineering Educator Award from IEEE Region 3 and the recipient of FHIMA Literary Award in 2016. His core research is focused on software engineering decision support systems for healthcare and education. Dr. Gurupur is also someone who has worked in the healthcare industry for several years. Based on this work experience and academic training he is involved in discovering innovative solutions to difficult problems associated with Electronic Health Records. Dr. Gurupur has more than 100 publications which include: edited book, book chapters, journal articles, conference papers, abstracts, and published reviews. Additionally, he has been involved in many research projects funded by the United States Federal government agencies such as National Science Foundation, and National Institutes of Health.
Vincent J. Lopez
Founder and CEO of Parker Health, Inc
Vincent J. Lopez is the visionary Founder and CEO of Parker Health, Inc, a progressive biotechnology organization at the forefront of healthcare innovation for the next century. He spearheads strategic initiatives, product development, and governmental affairs, collaborating closely with key figures in the U.S. Congress and various government agencies, including HHS, NIH, CDC, and the Office of the National Coordinator for Health Information Technology(ONC); Mr. Lopez focuses on establishing industry standards, optimizing spending, reducing legacy technology costs, improving inefficiencies, elevating patient care and outcomes, and implementing Parker Health’s cutting-edge healthcare technology.
Beyond his role at Parker Health, he's commitment to advancing public health research is paramount. He holds a prominent appointment to the Dean's Council at the New York University, School of Global Public Health, and is the founder and Chair of the Lopez Clinical Innovation Studio(LCIS) @ NYU, School of Global Public Health. He serves as an External Advisory Council, Center for Decision Support Systems & Informatics, University of Central Florida, and the Vice Chair, IEEE Data Quality Standards for Medical Records Workgroup. Additionally, he holds memberships in esteemed organizations such as the Royal Society of Medicine, and the Sequoia Project. Mr. Lopez's research interest includes health disparities in minority communities, Social Determinants of Health (SDOH) outcomes, regulatory frameworks & standards for Electronic Health Records (EHRs) & clinical decision support (CDS) solutions, and the research and development of artificial intelligence & machine learning algorithms for EHRs and CDS.
Mr. Lopez was named to the Forbes 30 Under 30 Class of 2023. He is a mentor who advises aspiring and current entrepreneurs at the NASDAQ Entrepreneurial Center, as well as for a health equity accelerator program sponsored by the Johnson & Johnson Venture Impact Fund. He contributes his expertise to various boards, including the Family Childcare Alliance of Maryland.
In 2015, Mr. Lopez was nominated by Governor Tom Wolf to the Pennsylvania State System of Higher Education Board of Governors. He was student body president at the Indiana University of Pennsylvania, where he majored in English and political science. He also completed a fellowship furthering STEM education in minority communities with Organizing for Action, a nonprofit founded to support the agenda of President Barack Obama, and he has worked on programs for the U.S. Department of Homeland Security and the U.S. Department of Defense.
A native of Sacramento, CA, Mr. Lopez was raised in Arlington, VA and resides in Washington, DC where he created the Lopez Foundation, a nonprofit working to advance education and health access in disadvantaged communities. When not shaping the future of healthcare, he indulges his passion for playing golf, fishing, and enjoys spectating basketball, Formula 1, and horse racing.
Prof Neville Calleja
Head of Department for Public Health at the University of Malta Medical School
Prof Neville Calleja is the Head of Department for Public Health at the University of Malta Medical School, which is affiliated with the Association of Schools of Public Health in the European Region (ASPHER). He is also Director for Health Information & Research within the Ministry for Health in Malta, Europe. This is the national health data repository for the country of Malta and also the designated Health Data Access Body for the newly setup European Health Data Space (EHDS) within the EU. He also served as Chief Medical Officer for Malta a few years ago. During the COVID-19 emergency period, he has been a senior member of Malta's COVID-19 Response Team and has also been involved in discussions on COVID-19 monitoring and other public health policy at EU level. He has also been supporting WHO (Europe) and WHO Global (Geneva) on several areas, mainly however on assessment of national health information systems since 2016.
The use of artificial intelligence in healthcare has been growing in the recent past. It is important to discuss and identify some of the key advances in this area of artificial intelligence application. While artificial intelligence is a broad term it is important to discuss the key concepts within the broader concept of artificial intelligence that are applied to healthcare processes.
Dexter Hadley
Physician Scientist
Dexter Hadley, MD/PhD is a physician-scientist, entrepreneur, and pioneer in artificial intelligence in medicine. He attended medical school at the University of Pennsylvania where he began his career by founding a precision medicine company that discovered a novel target for pediatric neuropsychiatric disease at the Children’s Hospital of Philadelphia. He attended residency training in molecular pathology at Stanford which further strengthening his clinical foundation while developing expertise in data-driven care. Dr. Hadley went on as faculty to the University of California, San Francisco, where he secured multiple NIH grants for groundbreaking AI in medicine projects focused on oncology, thereby establishing a track record of innovation in digital health. As the founding Chief of AI at the University of Central Florida College of Medicine, he created one of the nation’s first academic programs dedicated to advancing AI in healthcare. Today, Dr. Hadley serves as CEO of MammoChat, a cutting-edge digital health company empowering women with breast cancer, backed by $2M from the Casey DeSantis Florida Cancer Innovation Award and support from the NSF I-Corps program to accelerate translation of research into real-world solutions. By combining advanced AI, standardized oncology data (mCODE), and blockchain technology, MammoChat strives to be the first social network that improves health outcomes by delivering personalized education, emotional support, and clinical trial access—improving the lives of patients, equipping providers, and accelerating discovery for pharmaceutical companies. Dr. Hadley's career reflects a lifelong commitment to transforming medicine with AI, guided by his principle: “From Bits to Bedside™.”
Dr. John N. Carbone
Senior Technical Director/Chief Solutions Architect and Science Advisor
Dr. John N. Carbone has served the defense industry for ~36 years. Dr. Carbone currently serves as Senior Technical Director/Chief Solutions Architect and science advisor to Everfox (Formerly Forcepoint, LLC), within their Global Governments and Critical Infrastructure division. Prior to Everfox, he has served as Raytheon Engineering Fellow, Chief Science Advisor, Product Area Technology Director, Chief Engineer for Innovation, and Chief Data Architect & Scientist for globally distributed Big Data, High Performance Compute, and Cloud programs. Dr. Carbone received his undergraduate degree in Computer Science from Baylor University, MSE from Texas Tech University, Software and Systems Engineering from University of Texas at Austin, and Mechanical Engineering PhD from Texas Tech University where his research focus was enhancing information theory by combining cognition-based frameworks, processes, and adaptations of space-time relationship mechanics. Dr. Carbone began his career developing real-time embedded voice, cyber, and data communications solutions for satellite tracking and secure switching systems. Subsequently, he forged bridges between High Performance Computing environments and Cloud architectures for distributed enterprises. Dr. Carbone was instrumental in providing architecture, design, implementation, security, and fielding of software systems which led to the development of strategic analysis focused information sharing automation programs considered paradigm shifts for US government organizations.
Prof. Patrick Then
Chief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC)
Prof. Patrick Then assumed the Chief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC) since March 2025. SAIC aims to accelerate Sarawak economic growth by leveraging AI technologies. SAIC conducts high-impact research and development for Sarawak’s needs, and advises policymakers on AI governance, policy, audit, and talent development.
Before that, he led School of ICT as Head of School, Centre for Digital Futures as Director, Swinburne University of Technology Sarawak. As SAIC CEO, he continues mentoring researchers and academics in academia. He has been recognized as eminent researcher in health informatics in the region collaborating with prominent cardiologists and clinicians in Clinical Research Centre Sarawak General Hospital in Malaysia and the National Institutes of Health, Ministry of Health Malaysia. He has published papers in high impact journals and proceedings. He is a strong advocate of transdisciplinary research where he translated artificial intelligence techniques into healthcare, manufacturing and other applications. He is a sought-after keynote speaker in IT and cardiology conferences in Europe, India, Indonesia and South Korea. He is the holder of multiple patents and software copyrights that have been translated into commercial product. He is a highly recognised digital health Key Opinion Leader by Ministry of Health Malaysia.
He is an elected fellow of the European Society of Cardiology, fellow of the Society for Design and Process Science USA, Senior member of Australian Computer Society, Senior member of IEEE, and Board member of Sarawak Development Institute.
Sarra Hanish
Biomedical engineer and entrepreneur
Sarra Hanish is a biomedical engineer and entrepreneur currently pursuing her master’s degree in Digital Health at Iowa State University. She is passionate about leveraging technology and research to strengthen the ecosystem for scientific innovation in Libya and the broader MENA region. Sarra works at the Center for Research & Innovation at Saraya Hamra University, where she supports research development, fosters interdisciplinary collaboration, and helps build structures that empower emerging scientists and innovators. In 2025, she founded a women’s health startup focused on integrating physiological biomarkers and digital tools to help women better understand their bodies and autonomic nervous system. Her mission is to advance accessible, evidence-based women’s health solutions and to contribute to a future where technology, research, and innovation meaningfully improve lives across the region.
In the recent past we have witnessed critical advances in computational sciences. These advances have been transdisciplinary and transformative in nature, cutting across disciplines. Discussion on these advances is important for fostering collaborations across universities and researchers. The purpose of this workshop is as follows:
i) presenting advances in computational sciences by the presenters, and
ii) fostering discussion on possible collaborations in creating new projects.
Sally McClean
Professor Emeritus
Sally McClean received her first degree in Mathematics from Oxford University, and then obtained a MSc in Mathematical Statistics and Operational Research from Cardiff University, followed by a PhD on Markov and semi-Markov models at Ulster University. She is currently Professor of Mathematics at Ulster University. Her main research interests are in Stochastic Modelling and Optimisation, particularly for Healthcare Planning, and Computer Science, specifically Process Mining, Databases, Internet of Things, Sensor Technology and Telecommunications. She has been grant holder on over £13 million worth of funding, mainly from the EPSRC, Industry, the EU and charities. Sally is a Fellow of the Royal Statistical Society, Fellow of the Operational Research Society, Fellow of the IMA, past President of the Irish Statistical Association and Member of the IEEE. She has published over four hundred research papers and was previously a recipient of Ulster University’s Senior Distinguished Research Fellowship.
Dr. Ali Doğru
Professor
Dr. Ali Doğru is currently a professor at the University of Texas at San Antonio (UTSA). Previously he has been in the Middle Eas Technical University (METU) and has visited New Jersey Institute of Technology and National University of Singapore. He founded the Software Engineering Laboratory, the Master of Science Program in Software Engineering, and the Center for Verification and Validation for the Modeling and simulation, all in METU. Dr. Doğru has supervised 16 PhD dissertations and over 50 Master of Sicence theses studies. He published 3 books, 9 book chapters, 24 Journal publications, and more than 95 conference papers. He obtained his Ph.D. degree from the Southern Methodist University in Computer Science and his previous degrees in Electrical Engineering from the University of Texas at Arlington and Istanbul Technical University. His long term research fields are related with Software Engineering, covering Component Orientation, Specifications, Methodologies, and Real-time critical software. Dr. Doğru has been active within the Society for Design and Process Science since its beginning, as a founding member where he served as the president and vice president for the Software Engineering Society.
Dr. Zeeshan Tari
Lecturer
Dr. Zeeshan Tariq is a lecturer in the School of Computing at Ulster University. He received his PhD and MS degrees in computer science and holds a bachelor’s degree in software engineering. He has spent almost a decade working in the telecommunications industry, and his research areas include process prediction, process mining, decision analytics, and business process management, all of which are relevant for this Innovation Boost project.
Dr. Zeeshan has been working in the field of data sciences for over five years, during which he has published seven peer-reviewed papers. The focus of his research is on clustering, classification, sequence mining, and anomaly detection in the area of process mining. He is working with the BT Ireland Innovation Centre (BTIIC) at Ulster University, where he is leading a project titled ‘Intelligent Process Analytics’. His main contributions to BTIIC involve the development of several frameworks for BT. He proposed two published algorithms: process end-state prediction of real-world business processes and root-cause analysis for identification of misalignment in the execution of highly complex and variable business processes. His current research is on the use of IoT sensor data for complex event processing (CEP), which is one of the most applicable areas of process analytics in modern corporations.
Dr. Zeeshan is also a certified project management professional (PMP) from the Project Management Institute (PMI). Currently, he is involved in several academic-industrial collaboration projects with industry, including the Advanced Research and Engineering Centre (ARC) with PwC.
Dr. Mey Goh
Reader in Transdisciplinary Digital Manufacturing
Dr. Mey Goh is a Reader in Transdisciplinary Digital Manufacturing at the Wolfson School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, UK. She received her BEng (Hons) in Mechanical Engineering from Universiti Tenaga Nasional, Malaysia, in 2001, and completed her Ph.D. at the University of Bristol, UK, in 2005. Her transdisciplinary research aligns with the human-centricity pillar of Industry 5, focusing on advancing knowledge, processes, and methods for designing effective and inclusive industrial systems and technologies. This includes pioneering work on digital twin interfaces, human-robot interaction, human factors and user-centric explainable AI (XAI). Dr. Goh is an Associate Director at the Intelligent Automation Centre and Co-Director of the Made Smarter Innovation Research Centre on People-Led Digitalisation (P-LD). In this role, she collaborates with the Universities of Bath and Nottingham, along with various industry partners, to enhance the adoption of digital technologies through a people-led approach. She serves on the Committee of the Consortium of UK University Manufacturing and Engineering (COMEH) and is a member of the editorial board for the Journal of Integrated Design and Process Science (JIDPS).
Prof. Yohannes Kurniawan
Professor
Prof. Yohannes Kurniawan who currently serves as Professor in Management Information System and Vice-Rector for Student Affairs at BINUS University. With more than 15 years of experience in academics and industry, he has helped many organizations accelerate their digital transformation. Yohannes' expertise in Business Process Analysis, Digital Business, and UI/UX research, he also actively contributes to the academic and professional community. He also holds the prestigious position of Indonesian Chair for the ACM Special Interest Group on Human-Computer Interaction (SIGCHI) and Vice Chair for Meetings & Conferences at ASII.
As artificial intelligence rapidly integrates into clinical workflows, from diagnostic imaging to treatment pathway recommendations, there are increasing concerns around its ethical use. Several frameworks such as those proposed by WHO, or the Joint Commission and Coalition For Health AI have highlighted the guiding principles of fairness, trustworthiness and accountability in the use of AI.
This workshop seeks to explore how AI can be leveraged ethically while ensuring responsible data governance (data anonymization/ encryption, patient consent and privacy frameworks) can ensure that AI systems not only perform well but also earn the trust of clinicians, patients, and regulators. The workshop will also discuss the key challenges of which obstruct the clinical adoption of AI, and provides a roadmap for ethical and explainable AI deployment in clinical settings, and look at interoperability of health records across different health systems in the setting of the European Health Data Space.
Objectives
1. To present recent advances in explainable, fair, and accountable AI systems for clinical decision-making.
2. To explore case studies where explainable AI has improved clinical outcomes and enabled precision diagnosis
3. To identify data governance, privacy, and bias mitigation strategies essential for trustworthy AI in healthcare.
Prof Neville Calleja
Head of Department for Public Health at the University of Malta Medical School
Prof Neville Calleja is a Full Professor and Head of Department for Public Health within the Faculty of Medicine & Surgery of the University of Malta, in Europe. He is also the Director for Health Information and Statistics within the Ministry of Health in Malta, since 2007, serving as Acting Chief Medical Officer during 2014. He is very active at European level in the field of Health Information for both the EU and WHO (Europe), conducting health information system assessments in the region, and is part of the team involved in the development and revision of the WHO (Euro) tool for this purpose. He has also been recently involved in the assessment of COVID-19 specific health information systems in several countries in Europe and also the preparedness of EU countries for the upcoming European Health Data Space initiative. During the COVID-19 pandemic, apart from providing epidemiological and public health policy support as part of the Senior COVID-19 Advisory Group to the Ministry for Health in Malta and representing Malta on several COVID emergency fora in the EU, he has also been assisting WHO in Geneva in shaping its infodemic management research agenda and competency framework, and has contributed to several training schools in infodemic management covering over 1400 infodemic managers globally. The AD Scientific Index 2023 ranked Prof Neville Calleja as one of the top 10 scientists in Malta.
Dr. Sudha Chandrashekar
Medical and Health Policy Expert
Dr. Sudha Chandrashekar is a medical and health policy expert with over 25 years of national and global experience in universal health coverage (UHC), health financing, and health systems strengthening. She has held key roles in the Ministry of Health and Family Welfare (Government of India), Government of Karnataka, and as Executive Director, Health Policy and Hospital Engagement at the National Health Authority. Currently, she serves as Advisor at the Health System Transformation Platform and Senior Consultant to the World Bank (India and Ghana). Dr. Sudha is an MD in Community medicine and holds a PhD in Health Economics from the London School of Hygiene and Tropical Medicine. She has a post graduate diploma in medical law and ethics, and an International master’s degree in health economics and Pharmacoeconomics. She has collaborated with organizations such as WHO, the World Bank, Harvard T.H. Chan School of Public Health, and the Bill & Melinda Gates Foundation. She is a recipient of the Global health leadership award from IDRC, Canada and her bio-data was published in Whos’ Who in Medicine and Health care, 7th edition 2009-and a member of multiple national health policy committees. She has been a Faculty of Public Health and Policy, at the London School of Hygiene and Tropical Medicine (UK) and the University of London, UK and St. John’s Research Institute, Bangalore.
Advances in education technology is a key area of discussion. Today, the paraphernalia used to deliver education is beyond a chalk and a board. Especially, with the advent and growing popularity of online education. Also, it is important to keep in mind that education can be advanced by using key concepts in education psychology and human factors. This workshop focuses on these topics since the speakers are well versed in these areas.
Dr. Selay Arkün Kocadere
Lecturer
Dr. Selay Arkün Kocadere works at Hacettepe University, Department of Computer Education and Instructional Technologies (CEIT). Her background combines a bachelor’s degree in Mathematics Education with M.S. and Ph.D. degrees in CEIT. Before her academic career, she gained professional experience as an instructional designer, developing educational software. Her research focuses on online learning, e-mentoring, STEM education, serious games, gamification, and, recently, the use of AI in education. She has participated in over 20 national and international projects, holding various roles and coordinating more than 10 of them. These projects, funded by Erasmus+, UN, TÜBİTAK (The Scientific and Technological Research Council of Turkey), and Hacettepe University, have led to the development of online learning environments, instructional materials, mobile applications, gamification tools, and educational games. One of her recent projects focuses on teachers’ professional development in AI education. In this field, she has also published studies such as “Comparison of AI-Generated and Instructor Feedback: No Significant Difference in Perceived Feedback Quality and Neither on Performance”, “Video Lectures With AI-Generated Instructors: Low Video Engagement, Same Performance as Human Instructors.”, and “Problem-Solving Through Pair-Programming: The Mediational Role of ChatGPT”.
Roger Azevedo, Ph.D.
Professor at the School of Modeling Simulation and Training
Dr. Azevedo is a Professor at the School of Modeling Simulation and Training at the University of Central Florida. He is also an affiliated faculty in the Departments of Computer Science and Internal Medicine at the University of Central Florida and the lead scientist for the Learning Sciences Faculty Cluster Initiative. He received his PhD in Educational Psychology from McGill University and completed his postdoctoral training in Cognitive Psychology at Carnegie Mellon University. His main research area includes examining the role of cognitive, metacognitive, affective, and motivational self-regulatory processes during learning with advanced learning technologies. His research is characterized by its interdisciplinary nature, using methods from cognitive psychology, learning sciences, educational psychology, and computer science to measure cognitive, metacognitive, emotional, motivational, and social processes and their impact on learning, performance, and transfer. His overarching research goal is to understand the complex interactions between humans and intelligent learning systems. To accomplish this goal, he conducts laboratory, classroom, and in-situ (e.g., medical simulator) studies and collects multi-channel data (e.g., eye movements, log files, concurrent and retrospective think-louds, facial expressions of emotions, physiological levels of arousal, gestures, discourse) to develop models of human-computer interaction; examines the nature of temporally unfolding self- and other-regulatory processes (e.g., human-human and human-artificial agents); and designs intelligent learning and training systems to detect, track, model, and foster learners, teachers, clinicians, military personnel, and trainers’ self-regulatory processes. He has published over 300 peer-reviewed papers and chapters and has refereed conference proceedings in educational, learning, cognitive, educational, and computational sciences. He is the current co-editor-in-chief of the British Journal of Educational Psychology. He was the former editor of the Metacognition and Learning journal and serves on the editorial board of several top-tiered learning and cognitive sciences journals (e.g., Applied Cognitive Psychology, International Journal of AI in Education, Learning and Individual Differences, Educational Psychology Review, European Journal of Psychological Assessment). His research is funded by the National Science Foundation (NSF), Institute of Education Sciences (IES), National Institutes of Health (NIH), the Social Sciences and the Humanities Research Council of Canada (SSHRC), Natural and Sciences and Engineering Council of Canada (NSERC), Canada Research Chairs (CRC), Canadian Foundation for Innovation (CFI), European Association for Research on Learning and Instruction (EARLI), Jacobs Foundation, and the Army Research Laboratory. He is a fellow of the American Psychological Association and the recipient of the prestigious Early Faculty Career Award from the National Science Foundation.
Advances in cybersecurity has become very critical for discussion given the fact that in the present 21st century wars will be fought using information and data is the new oil. This workshop focuses on the challenges implementing cybersecurity along with real examples. Both speakers at this workshop have a sea of experience on this topic.
Dr. Ananth Prabhu G
Professor
Dr. Ananth Prabhu G is a renowned Professor in the Department of Computer Science and Engineering and serves as the Principal Investigator at the Digital Forensics and Cyber Security Centre of Excellence at Sahyadri College of Engineering and Management. He holds a B.E. in Computer Science and Engineering, an MTech in Computer Science, and an MBA in Information Science from Manipal University, along with a PhD in Computer Science and Engineering from VTU. Dr. Prabhu has also completed two Post-Doctoral Research Fellowships at the University of Leicester, UK, and the University of Houston Downtown, Texas, and holds a diploma in Cyber Law from the Government Law College, Mumbai. Under his guidance, four research scholars have completed their PhDs, and five are currently pursuing their doctoral studies.
Dr. Prabhu is the Director of TorSecure Cyber LLP and SurePass Academy. He has authored 17 books, contributed to 32 international journals, and holds three patents. A dynamic speaker, he has delivered over 3,000 lectures, becoming a leading voice in cyber law and forensics. His acclaimed book Cyber Safe Girl v6.1 has been downloaded 4.5 crore times, and a free online certification course, developed in partnership with ISEA and the Ministry of Electronics and IT, has empowered citizens across India, especially in rural areas, with cyber literacy. The book has been translated into multiple regional languages, furthering its reach and impact.
Prof. Lalit Garg
Associate Professor of computer information systems at the University of Malta
Prof. Lalit Garg is an associate professor of computer information systems at the University of Malta, Malta, and an honorary lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. Prof Garg has supervised 200+ Master's dissertations, 2 DBA and 5 PhD theses and published 200+ high-impact publications in refereed journals/conferences/books, 22 edited books and 24 patents. He has delivered numerous keynote speeches, organised/chaired international conferences, and consulted countless public and private organisations for information systems implementation and management. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science and their applications, mainly in healthcare and medical domains. He participates in many EU and locally funded projects, including a one million euro Erasmus+ Capacity-Building project in Higher Education (CBHE), titled Training for Medical Education via Innovative eTechnology (MediTec) and Malta Council of Science and Technology's Space Research Funds. The University of Malta has awarded him the 2021-22 Research Excellence Award for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare).
Journal of the Integrated Design and Process Science is the official journal of the Society for Design and Process Science. Both Kyoung-Yun Kim and Yong Zeng have served as the Editor-in-Chief of the journal. In recent years the journal has improved its impact factor and reputation. The purpose of this workshop is to improve the journal in terms of impact factor, and invite new special issues.
Dr. Kyoung-Yun Kim
Professor
Dr. Kyoung-Yun Kim is a professor in the Department of Industrial and Systems Engineering at Wayne State University, where he directs the Computational Intelligence and Design Informatics (CInDI) Laboratory. Dr. Kim’s research focuses on Design Science; Design Informatics; Semantic Assembly Design; Welding and Joining; and Smart Manufacturing. Dr. Kim is a leading researcher in assembly modeling with formal ontology theory and data-driven weldability prediction that improves product design efficiency. Dr. Kim’s research has been strongly supported by external funding (over $10M) from several U.S. federal agencies including NSF, MxD (DMDII), NIST, NIDRR, VA-CASE, DOD, and DOE, and industries including Ford, GM, ESTECO, GDLS, Wenzel, and other e-Design Center members. Also, to advance innovation in engineering design education, Dr. Kim implemented advanced design and manufacturing educational innovation curricula with support from NSF IUSE, CI-TEAM, CCLI Stage II, and DOD grants. Currently, Dr. Kim is the Director of the Smart Manufacturing Demonstration Center (SMDC) and he was a Site Director for the NSF Industry and University Cooperative Research Center (I/UCRC) for e-Design. Dr. Kim was a technical lead and executive board member of DMDII (now MxD). Dr. Kim was a member of the steering committee to integrate the GM PACE infrastructure into Wayne State’s engineering curriculum and Electric Drive Vehicle Engineering program with funding from DOE. Dr. Kim is a Fellow of the Society for Design and Process Science. He currently serves as Editor-in-Chief of the Journal of Integrated Design and Process Science. Dr. Kim has served as multiple guest editorships including Journal Advanced Engineering Informatics special issue on "modeling, extraction, and transformation of semantics in computer aided engineering systems," Journal of Integrated Design and Process Science special issue on “design education and engineering design,” and Journal of Engineering Design special issue on “ontological engineering for supporting semantic reasoning in design”. Dr. Kim has published over 100 top journal papers and conference papers in proceedings, and numerous technical reports and presentations. Dr. Kim received the top cited article award (2005-2010) from Journal CAD and the 2003 IIE Transactions Best Paper Award. One of his articles was selected as Classics in Manufacturing and Machinery by Google Scholar. Dr. Kim served as the General Chair of FAIM 2022 (31st International Conference on Flexible Automation and Intelligent Manufacturing) and the conference theme was Human-Data-Technology Nexus in Intelligent Manufacturing and Next Generation Automation. Dr. Kim was an invited professor at Université de Technologie de Belfort-Montbéliard (UTBM), France, 2017 and was a visiting professor at Kyung Hee University, South Korea, 2014. Dr. Kim provided multiple invited talks and seminars nationally and internationally. Dr. Kim’s education includes a Ph.D. in Industrial Engineering from the University of Pittsburgh, and a B.S. and M.S. in Industrial Engineering from Chonbuk National University, South Korea.
Dr. Yong Zeng
Professor
Yong, PhD is a Full Professor at the Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada. His research has focused on design theory and its applications to transdisciplinary design problems. Using the Environment-Based Design (EBD) methodology he has proposed, he and his colleagues have designed many algorithms including human vision-based non-parametric curve reconstruction algorithms DISCUR and VICUR, Gauging series non-parametric clustering algorithms, and a reinforcement learning-enabled automatic 2D quadrilateral mesh generation algorithm. He has pioneered EEG-based neurocognitive studies of human design, particularly creative design, founded on his work on formalizing conceptual and creative design activities. His work has been applied to behavior modeling and design in aerospace engineering, healthcare, learning and training, the construction industry, and sustainability, all supported by major grants funded by industry and government. He was Canada Research Chair (Tier II) in Design Science (2004-2014) and NSERC Chair in Aerospace Design Engineering (2015-2020). He is a member of the Board of Directors of the Society for Design and Process Science after having served as its president from 2019 to 2023.

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Speakers: Dr Radmila Juric, Dr Eiman Almami, Dr Ibtesam Almami
In the last couple of years, knowledge management and discoveries in Biomedical Science have advanced through the application of Generative AI technologies across various domains, which range from drug discoveries, development and repurposing, patient care/healthcare delivery and pharmacovigilance to summarising biomedical research advances/results and creating collaborative transdisciplinary collaborations. However, there is overwhelming evidence that the precision of generative AI technologies in knowledge discovery/dissemination is debatable, in general. It does not look encouraging to claim that the GenAI technology is an answer to quick discoveries of or insights into knowledge, considering that data/knowledge is scattered across various sources with the complex semantic of data, its structures and their relationships. It is difficult to ultimately create or discover knowledge we need and trust, using GenAI and thus it is prudent to highlight that predictive inference might never be able to create/discover knowledge which is valid beyond reasonable doubt. There are numerus attempts to address this deficiency of predictive inference in GenAI, particularly if the technology relies on LLM and one of the latest ideas is to replace popular Retrieval Augmented Generation (RAG) with Knowledge Augmented Generation (KAG).
In this workshop we look at the opportunities offered by KAG in biomedical science from two different perspective. One is the natural extension of the GenAI technologies towards knowledge structures based on knowledge bases and graphs. The other approach is in defining GenAI models with extensions towards logic inference which offers both: structures not dissimilar to knowledge graphs and logic reasoning which could remedy the deficiency of predictive inference. We look at the challenges of using KAG and
(a) debate our software solution which accommodates GenAI augmentation with logic reasoning;
(b) outline which software platforms and GenAI models are suitable or needed to create operational environments in which results of applying GenAI are valid beyond reasonable doubt.
The field of biomedical science proved to be ideal to use in this workshop for a variety of reasons. There is an abundance of examples in biomedicine and life sciences to illustrate problems of using GenAI and justify debates in the workshop. However, the outcome is applicable to the use of GenAI technologies in general and across problem domains, particularly if our dependence in creating GenAI models will on LLM in future.