Agenda
Transformative and Transdisciplinary Innovations Using Artificial Intelligence for Healthcare, Business, and Science
Venue: Intercontinental Hotel, St Julian's STJ 3310, Malta
Agenda
Agenda
14:00 to 14:45
Keynote Speechs- Purva Rajkotia, Frank Skidmore
Purva Rajkotia
Director of Global Business Strategy & Intelligence (GBSI)
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.
Dr. Frank Skidmore
Physician
Dr. Frank Skidmore
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.
14:46 to 15:15
Keynote Speech- Girijesh Prasad
Girijesh Prasad
Professor of Intelligent Systems, Ulster University, UK
Girijesh Prasad
Professor of Intelligent Systems, Ulster University, UK
15:30 to 17:00
Doctoral Symposium
15:30 to 17:00
Workshop - Process Improvements in Cybersecurity
18:30 to 20:00
Reception
Prof Neville Calleja
Head of Department for Public Health at the University of Malta Medical School
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.
Prof. Patrick Then
Chief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC)
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.
Dr. Raymond Yeh
SDPS Founding Member
Dr. Raymond Yeh
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
Bernd Kramer
SDPS Founding Member
09:00 to 09:29
Rytis Maskeliunas
Dr. Rytis Maskeliunas
Professor and Chief Researcher
Dr. Rytis Maskeliunas
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.
09:30 to 09:59
Sally McClean
Sally McClean
Professor Emeritus
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.
10:00 to 10:29
Stephen Ekwao-Osire
Professor Stephen Ekwaro-Osire
Founding Member and a Fellow of the Society for Design and Process Science (SDPS)
Professor Stephen Ekwaro-Osire
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.
10:30 to 10:59
Break
11:00 to 11:29
Justin Dauwels
Dr. Justin Dauwels
Associate Professor
Dr. Justin Dauwels
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).
11:30 to 11:59
Ali Akgunduz
Dr. Ali Akgunduz
Professor in the Department of Mechanical, Industrial, and Aerospace Engineering
Dr. Ali Akgunduz
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.
12:00 to 12:30
Yong Zeng
Yong Zeng, PhD
Professor
Yong Zeng, PhD
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.
12:30 to 13:29
Lunch
13:30 to 15:00
Paper Session 1
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
13:30 to 15:00
Paper Session 2
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
13:30 to 15:00
Workshop - Advances in Computational Sciences
15:00 to 15:29
Break
15:30 to 17:00
Paper Session 3
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
15:30 to 17:00
Paper Session 4
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
15:30 to 16:45
Workshop - The Power of Neurosymbolic Computing for Knowledge Discoveries in Biomedicine
09:00 to 09:29
Ying-Chyi Chou
Dr. Ying-Chyi Chou
Professor
Dr. Ying-Chyi Chou
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.
09:30 to 09:59
Mehmet Akşit
Dr. Mehmet Akşit
Professor Emeritus
Dr. Mehmet Akşit
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.
10:00 to 10:29
Vincent J. Lopez
Vincent J. Lopez
Founder and CEO of Parker Health, Inc
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.
10:30 to 10:59
Break
11:00 to 11:29
Murat M. Tanik
Murat M. Tanik
-
Murat M. Tanik
-
11:30 to 11:59
Roger Azevedo
Roger Azevedo, Ph.D.
Professor at the School of Modeling Simulation and Training
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.
12:00 to 12:30
Carl James Debono
Prof. Carl James Debono
Dean of the Faculty of ICT
Prof. Carl James Debono
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.
12:30 to 13:29
Lunch
13:30 to 15:00
Workshop - Advances in Education Technology
13:30 to 15:00
Workshop - IEEE Standards Association initiative on identifying electronic health record systems
13:30 to 13:45
Paper Session 5
1.30 - 1.45 PM Evaluating DBMS Options: Systematic Criteria and Research-Based Insights
15:00 to 15:29
Break
15:30 to 17:00
Workshop - Journal of Integrated Design and Process Science
15:30 to 17:00
Workshop - Ethical AI for Clinical Decision Support Systems
19:00 to 21:00
Awards Dinners
19:00 to 21:00
Membership Recruitment - Yong Zeng and Ying-Chyi chou
Dr. Ying-Chyi Chou
Professor
Dr. Ying-Chyi Chou
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
Yong Zeng, PhD
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.
08:30 to 09:30
Post Conference Meeting
09:40 to 11:30