| My T. Thai, University of Florida , USA | ||
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My T. Thai is a Nelms Endowed Chair Professor and Associate Director of the Nelms Institute for the Connected World at the University of Florida. An IEEE Fellow and globally recognized leader in trustworthy AI and optimization, her research addresses critical challenges in today’s interdependent, complex systems and high-impact applications such as network infrastructure, autonomous systems, healthcare, and cyber-security. She has authored 7 books and over 350 publications in premier journals and conferences, earning multiple best paper awards and shaping both the theory and practice of network science and machine learning. Responding to the global call for responsible and safe AI, Dr. Thai is a pioneer in developing deep explanations for black-box ML models and defending against explanation-guided attacks, work recognized with the 2023 AAAI Distinguished Paper Award. That same year, she received the Web Science Trust Test-of-Time Award for her landmark work on combating misinformation in social media. Her earlier honors include the IEEE Big Data Security Women of Achievement Award (2022), the DTRA Young Investigator Award (2009), and the NSF CAREER Award (2010). Dr. Thai has served as Program Chair for several leading IEEE conferences and holds editorial positions on multiple international journals. She is currently Editor-in-Chief of ACM Computing Survey, ranked #1 in Computer Science, Theory & Methods, and of the Springer Journal of Combinatorial Optimization, as well as editor of Springer’s Optimization and Its Applications book series. |
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| Helen Karatza, Professor Emeritus, Department of Informatics, Aristotle University of Thessaloniki, Greece | ||
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Resource Orchestration and Scheduling Across the Mist–Fog–Cloud Continuum: Trends and Future Directions Helen Karatza (senior member of IEEE, ACM, SCS) is a Professor Emeritus in the Department of Informatics at the Aristotle University of Thessaloniki, Greece. Dr. Karatza's research interests include cloud, fog and mist computing, energy efficiency, fault tolerance, resource allocation, scheduling algorithms and real-time distributed systems. Dr. Karatza has authored or co-authored over 270 technical papers and book chapters. She is included in the list of the world’s top 2% of scientists (Stanford University rankings). She has received the ACM SIGSIM Distinguished Contributions Award 2025. She served as an elected member of the Board of Directors at Large of the Society for Modeling and Simulation International. She also served as chair and keynote speaker at international conferences. Dr. Karatza is Senior Associate Editor of the Elsevier journal “Simulation Modelling Practice and Theory”, an Editor of “Future Generation Computer Systems” of Elsevier, and the Topical Editor for Edge Computing of IEEE Transactions on Services Computing. She was Editor-in-Chief of the Elsevier journal “Simulation Modelling Practice and Theory”, Editor-in-Chief of “Simulation Transactions of The Society for Modeling and Simulation International”, Associate Editor of “ACM Transactions on Modeling and Computer Simulation” and Senior Associate Editor of the “Journal of Systems and Software” of Elsevier. She served as Guest Editor of multiple Special Issues in international journals. More info about her activities and publications can be found at: https://karatza.webpages.auth.gr/ |
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| Péter Baranyi, Corvinus University of Budapest, Hungary | ||
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Peter Baranyi has made significant contributions to the fields of non-linear control theory and modeling. Among his key inventions is the TP model transformation, a sophisticated form of higher-order singular value decomposition for continuous functions. This transformation is crucial in the development of nonlinear control design theories and facilitates new optimisation theory. Baranyi’s scientific achievements have been recognised with several prestigious awards, including the Investigator Award from Sigma Xi, the Kimura Award, and the International Design Gabor Award. He has published over 100 journal papers and authored four books, resulting in an h-index of 54. |
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| Thanh-Binh Nguyen, International Institute for Applied Systems Analysis (IIASA), Austria / University of Debrecen, Hungary | ||
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Thanh-Binh Nguyen is a researcher at the International Institute for Applied Systems Analysis (IIASA), Austria, and is affiliated with the Faculty of Informatics at the University of Debrecen, Hungary. His research lies at the intersection of information technology, data science and environmental modelling, with a particular focus on the development and application of the GAINS (Greenhouse Gas – Air Pollution Interactions and Synergies) integrated assessment modelling framework. His research interests include environmental information systems, integrated assessment modelling, data integration and harmonisation, spatial and temporal downscaling, air-quality and climate modelling, artificial intelligence, and data-driven decision-support systems. He has worked extensively on computational approaches for connecting large and heterogeneous environmental, socioeconomic and scenario datasets with models for analysing air pollution, greenhouse-gas emissions and mitigation strategies. A particular focus of his current research is the development of GAINS-City, which aims to bridge the gap between regional integrated assessment and urban-scale environmental analysis. This includes the integration and downscaling of activity and emission data, connection with high-resolution atmospheric modelling such as uEMEP, incorporation of monitoring observations, and the use of AI and data-model fusion to improve urban air-quality and population-exposure assessment. His broader research explores how AI, integrated models and environmental Digital Twins can be combined to transform complex and heterogeneous data into transparent and actionable information for climate and air-quality decision-making. |
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