Workshop

Workshop 1

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.

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Dr. Radmila Juric
Researcher

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Dr. Eiman Sayedalamin Almami
Researcher

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Dr. Jamal Alotaibi
Researcher

Workshop 2

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. 

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Purva Rajkotia
Director of Global Business Strategy & Intelligence (GBSI)

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Varadraj Gurupur
Assistant Professor (Research) in Computer Engineering

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Vincent J. Lopez
Founder and CEO of Parker Health, Inc

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Prof Neville Calleja
Head of Department for Public Health at the University of Malta Medical School

Workshop 3

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.

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Dexter Hadley
Physician Scientist

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Dr. John N. Carbone
Senior Technical Director/Chief Solutions Architect and Science Advisor

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Prof. Patrick Then
Chief Executive Officer of state-owned Sarawak Artificial Intelligence Centre (SAIC)

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Sarra Hanish
Biomedical engineer and entrepreneur

Workshop 4

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.

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Sally McClean
Professor Emeritus

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Dr. Ali Doğru
Professor

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Dr. Zeeshan Tari
Lecturer

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Dr. Mey Goh
Reader in Transdisciplinary Digital Manufacturing

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Prof. Yohannes Kurniawan
Professor

Workshop 5

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.

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Prof Neville Calleja
Head of Department for Public Health at the University of Malta Medical School

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Dr. Sudha Chandrashekar
Medical and Health Policy Expert

Workshop 6

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.

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Dr. Selay Arkün Kocadere
Lecturer

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Roger Azevedo, Ph.D.
Professor at the School of Modeling Simulation and Training

Workshop 7

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.

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Dr. Ananth Prabhu G
Professor

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Prof. Lalit Garg
Associate Professor of computer information systems at the University of Malta

Workshop 8

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.

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Dr. Kyoung-Yun Kim
Professor

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Dr. Yong Zeng
Professor