Hamid R. Arabnia

Hamid R. Arabnia

Editor-in-Chief of The Journal of Supercomputing

Short Biography

Hamid R. Arabnia received a Ph.D. degree in Computer Science from the University of Kent (England) in 1987. He is currently a Professor Emeritus of Computer Science at University of Georgia (Georgia, USA), where he has been since October 1987. He has graduated 21 PhD students (as of Year 2023). His research interests include Data Science, Machine Learning, STEM education, HPC/supercomputing, imaging science, and other compute intensive problems. His most recent activities include: Studying ways to promote legislation that would prevent cyber-stalking, cyber-harassment, and cyber-bullying. As a victim of cyber-harassment and cyber-bullying, in 2017 and 2018 he won a lawsuit with damages awarded for a total of $3 Million (includes $650K awarded for attorney’s costs). Since this court case was one of the few cases of its kind in the United States, this ruling is considered to be important. Prof. Arabnia is Editor-in-Chief of The Journal of Supercomputing (Springer). He is the book series editor-in-chief of "Transactions of Computational Science and Computational Intelligence" (Springer). He is the editor of annual proceedings of Computational Science and Computational Intelligence (Publisher: IEEE CPS). He is an Associate/Guest co-Editor of IEEE Access journal (2019/2020). He is a Senior Adviser to a number of corporations and is a Fellow and Adviser of Center of Excellence in Terrorism, Resilience, Intelligence & Organized Crime Research (CENTRIC). He has served as a member of National Science Foundation (NSF) Site Visitation evaluation committee for 10 years. He has received numerous distinguished awards; including: from BIBE IEEE/SMC, ACM SIGAPP IMCOM, and others. Prof. Arabnia has about 280 peer-reviewed research publications as well as 250 edited research books in his areas of expertise (some of these books and journal special issues have received the top 25% downloads in their respective fields). His 20 edited books entitled “Frontiers in Education: CS & CE” has been highly cited by the research community. He has been a PI/Co-PI on about $12 Million externally funded projects/initiatives. During his tenure as Graduate Coordinator/Director, Prof. Arabnia secured the largest level of funding in the history of the department for supporting the research and education of graduate students (PhD, MS). Prof. Arabnia has delivered a number of keynote and plenary lectures at international conferences; most recently at: IEEE ICPADS, IEEE HPCC, ACM IMCOM, and others. He has also delivered a number of "distinguished lectures" at various universities and research units/centers. According to Stanford University, Prof. Arabnia is among the top 2% impactful scientist.

Talk: The Impact of Artificial Intelligence: Good and Bad!

Kevin K.W. Ho

Kevin K.W. Ho

Editor-in-Chief of Journal of Organizational Computing and Electronic Commerce

Short Biography

Prof. Kevin K.W. Ho joined the MBA Program in International Business, Graduate School of Business Sciences, Humanities and Social Sciences, at the University of Tsukuba in April 2022. He received his Ph.D. in Information Systems from the Hong Kong University of Science and Technology in 2008. Over the past twelve years, he has been teaching at the University of Guam. Kevin’s research focuses on electronic service, information systems and social media commerce strategy, fake news and misinformation, and sustainability management. His research has been published in Behaviour & Information Technology, Communications of the Association for Information Systems, Computers in Human Behavior, Decision Support Systems, Government Information Quarterly, Health Policy, IEEE IT Professional, Information Systems Frontier, Information & Management, Internet Research, Journal of Retailing and Consumer Sciences, etc. He is currently the Editor-in-Chief of Journal of Organizational Computing and Electronic Commerce.

Talk: Misinformation, Disinformation and Fake News: Its implication to our daily life and our society

Matthieu J. Guitton

Matthieu J. Guitton

Editor-in-Chief of Computers in Human Behavior (the world-leading journal in the field of cyberpsychology)
Editor-in-Chief of Computers in Human Behavior: Artificial Humans
Editor-in-Chief Emeritus of Computers in Human Behavior Reports
According to the last ScholarGPS world ranking which went out last week, Matthieu J. Guitton is the 5th highest ranking scholar in the “Human Behavior” category in the last 5 years.

Short Biography

Prof Matthieu J. Guitton, Ph.D., FRAI, is Full Professor at the Faculty of Medicine and at the Graduate School of International Studies at Université Laval (Quebec City, QC, Canada), Bualuang ASEAN Professor Chair at Thammasat University (Bangkok, Thailand), Fellow of the Royal Anthropological Institute of Great Britain, and Senior Researcher/Group Leader at the CERVO Brain Research Center (Quebec City, QC, Canada). He is the Editor-in-Chief of Computers in Human Behavior (the world leading journal in the field of cyberpsychology with an Impact Factor of 9.9), Founding Editor and Editor-in-Chief of Computers in Human Behavior: Artificial Humans, Editor-in-Chief Emeritus of Computers in Human Behavior Reports, and serves on several other editorial boards, such as Acta Psychologica and Current Opinion in Behavioral Sciences. A graduate from the University of Rouen and Université Pierre et Marie Curie - Paris VI, he obtained his PhD from the University of Montpellier (France) and was a Koshland Scholar/Postdoctoral Fellow of Excellence at the Weizmann Institute of Science (Israel). He has published over 120 research papers, book chapters, or editorials on subjects ranging from cyberpsychology and cyberbehavior to the societal impacts of technology. He has been invited speaker or guest lecturer by numerous universities across the world, such as the University of Oxford, Embry-Riddle Aeronautical University (USA), the University of Pittsburgh (USA), the Russian Academy of Science, Hong Kong Baptist University, or Renmin University of China. His research deals with cyberbehavior, ranging from the study of virtual communities to eHealth, and from digital inequalities to cybersecurity.

Talk: Could Artificial Humans be our partners for a sustainable future?

The ballistic acceleration of the advances in artificial intelligence (AI) in the last few years is revolutionizing every single aspect of our daily lives. Yet, AI is just one of the forms – even if currently the most popular – of Artificial Humans. Although much emphasis has been recently made on the impact Artificial Humans might have on education, disinformation, eHealth and medical applications (topics which are all legitimate and important), one of the domains in which the rise of Artificial Humans might have a prominent impact in the coming years is the field of sustainability. In this presentation, we will probe several questions related to the potential for Artificial Humans to become partners with us to help us collectively build a sustainable future. We will first explore how the different types of Artificial Humans (cyborgs, robots, AI, virtual humans) could potentially contribute to sustainability. We will then present some of the challenges of Humans/Artificial Humans communication. Finally, we will explore the moral compass of AI, and question whether AI could or not be used, and under which conditions, to help us take ethical decisions regarding the choices we will have to make at the societal and global levels in order to insure a sustainable future.

Mario Köppen

Mario Köppen

Editor in Chief, Applied Soft Computing (ASOC)

Short Biography

Mario Köppen was born in 1964. He studied physics at the Humboldt-University of Berlin and received his master degree in solid state physics in 1991. Afterwards, he worked as scientific assistant at the Central Institute for Cybernetics and Information Processing in Berlin and changed his main research interests to image processing and neural networks. From 1992 to 2006, he was working with the Fraunhofer Institute for Production Systems and Design Technology. He continued his works on the industrial applications of image processing, pattern recognition, and soft computing, esp. evolutionary computation. During this period, he achieved the doctoral degree at the Technical University Berlin with his thesis works: "Development of an intelligent image processing system by using soft computing" with honors. He has published more than 150 peer-reviewed papers in conference proceedings, journals and books and was active in the organization of various conferences as chair or member of the program committee, incl. the WSC on-line conference series on Soft Computing in Industrial Applications, and the HIS conference series on Hybrid Intelligent Systems. He is founding member of the World Federation of Soft Computing, and also Editor of the Applied Soft Computing journal. In 2006, he became JSPS fellow at the Kyushu Institute of Technology in Japan, and in 2008 Professor at the Network Design and Reserach Center (NDRC) and 2013 Professor at the Graduate School of Creative Informatics of the Kyushu Institute of Technology, where he is conducting now research in the fields of multi-objective and relational optimization, digital convergence and multimodal content management.

Talk: Smart Documentation System for Precision Agriculture

These days, complex food supply chains, characterized by the production, distribution, transport, processing, retail and consumption of food get more and more entitled to various risks: contamination, domino effects caused by the inherent push&pull two-sided causality, contamination propagation (incl. virus spread), resource depletion, origination and quality disputes. Here, farming is not only farm production of food at some location, but has to be seen by its effects on the whole chain. This is a challenge for any novel concept of smart farming. We discuss the various stages and the related technology challenges. The novel viewpoint presented is to take on the documentation of the whole system. The documentation aspects in more detail refer to: new sensors data logs, incl. polarization, thermal, multi-spectral imaging and wearables integration, incl. hierarchical classification and prediction tasks; security, esp. the tracking of ingredients mixtures, or the special multi-factor and small scale modality of blockchain technology. Further on, we need to explore new computational intelligence solutions for the task of retrieval of data to give it into the hand of consumers, a broad avenue for fuzzy information processing. Novel optimization approaches are needed for the interplay of the various optimization modalities of the food system: farmers' "look after things" as a correction-driven cognitive ability of humans, scheduling with respect to distribution and transport stage, efficiency and non-physical optimization for the processing and manufacturing stage, and the consumer-driven retail and consumption stage. All those tasks have been studied in perfect isolation so far, but to keep them in a global balance poses new requirements on optimization algorithms. We might take inspiration from the microbiome and how it achieves it's task to keep an organism up and running. The whole story has just opened its first chapter. But we have already promising technologies at hand, incl. Big Data and IoT, global communication, low cost sensors, AI, Computational Intelligence, and the metaverse. Those can surely support to move away from the isolated efficiency race per food system stage to the safety-oriented, open, holistic and versatile documentation point of view towards the design and conception of a future smart farming system.

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