Prof. Huynh Thi Thanh Binh
Hanoi University of Science and Technology
Scholar profile

Title

Evolutionary Multitasking: Recent Advances and Applications

Abstract

Evolutionary multitasking optimization is a cutting-edge topic in the field of computational intelligence that merges evolutionary computation and multitasking methodologies to address multiple optimization problems concurrently. By leveraging the interactions and dependencies between problems, evolutionary multitasking allows for the sharing and transfer of valuable information between tasks, thereby enhancing the overall search performance. This talk will provide an overview of the fundamental concepts, principles, and recent advancements of evolutionary multitasking optimization. Additionally, the talk will highlight the practical significance of evolutionary multitasking algorithms and demonstrate how these techniques can effectively tackle complex real-world optimization problems. Through these problems, the talk will delve into algorithm design issues such as solution encoding and the knowledge transfer mechanism in the multitasking environment. Performance evaluations on benchmark datasets will also be presented to demonstrate the effectiveness of evolutionary multitasking algorithms.

Bio

Huynh Thi Thanh Binh is Professor and Vice Dean of the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST). She is Head of Optimization Group. She is Chair (2025-2027) of the Science Committee on Computer Science and Information Technology, The National Foundation for Science and Technology Development – NAFOSTED. Her current research interests: Artificial Intelligence, Algorithms and Optimization, Computational Intelligence, Memetic Computing, Evolutionary Multitasking. She has published more than 150 refereed academic papers/articles. She is Associate Editor of the Swarm and Evolutionary Computation (2024 – now), Engineering Applications of Artificial Intelligence Journal (2021-now), IEEE Transactions on Emerging Topics in Computational Intelligence (2022-now). She has served as a regular reviewer, a program committee member of numerous prestigious academic journals and conferences, such as Transactions on Evolutionary Computation, Swarm and Evolutionary Computation, Applied Soft Computing, Information Sciences, Memetic Computing, Congress on Evolutionary Computation (CEC), The Genetic and Evolutionary Computation Conference (GECCO), NeurIPS…
In the last 5 years, Assoc. Prof. Binh and her research team are one of seven research groups in the world that have contributed the most in the fields of Multi-task Optimization and Multi-task Evolutionary Computing. Her team won the first prize at Competitions at GECCO 2025, GECCO 2024, WCCI 2018, WCCO 2020, WCCI 2022, CEC 2021.
She is PI of the projects funded by NAFOSTED, bi-laterial Vietnam – Germany, U.S Army Research Lab, ONR, Vingroup Innovation Foundation…
She is Chair of IEEE Vietnam section, IEEE Computational Intelligence Society Vietnam Chapter (IEEE Vietnam CIS), Executive member of IEEE Asia Pacific.

Prof. Dominik Ślęzak
University of Warsaw, Poland
Scholar profile

Bio

Dominik Ślęzak received a Ph.D. in Computer Science in 2002 from the University of Warsaw in Poland. In his early academic career, he worked at the Polish-Japanese Academy of Information Technology. In 2003-2006, he worked as an Assistant Professor at the University of Regina in Canada. He also cooperated as an Adjunct Professor with McMaster University and York University. In 2008, he re-joined the University of Warsaw, where he now holds the position of Full Professor at the Institute of Informatics. He is a co-author of over 200 scientific articles in the fields of Data Intelligence, Big Data Processing, and Uncertainty Modeling. He delivered invited plenary talks at over 20 international conferences. In 2020, he was awarded the scientific title of Professor by the President of the Republic of Poland.

Professor Ślęzak actively contributes to the growth of the international academic community. He chaired over 20 scientific conferences in Asia, Europe, and both Americas. He regularly co-organizes sessions and – using the KnowledgePit platform, which he co-created – Data Science Competitions at the IEEE Big Data and FedCSIS conferences. He is an Associate Editor and Editorial Board Member for international scientific journals, including Information Sciences and Intelligent Information Systems. He serves as the President of the Polish Artificial Intelligence Society. He served as President of the International Rough Set Society and Vice President of IEEE CS Technical Committee on Intelligent Informatics. He was one of the Founding Editors of Communications in Computer and Information Science.

Professor Ślęzak is also continually engaged in the industry and commercial projects. In 1999, he co-founded QED Software – an R&D company where he leads the development of innovative solutions based on Artificial Intelligence and Machine Learning. In 2005, he co-founded Infobright, where he co-designed the Analytical Database Engine Technology based on Rough Sets and Information Granulation. In 2025, he founded QEDEX, where he leads the development and commercialization of the Agentic Data Intelligence Platform, which revolutionizes Business Intelligence by combining the advantages of Conversational Artificial Intelligence and Automated Data Exploration. He also cooperates or cooperated with several other companies, including Arahub, DeepSeas, Grail Team, OnstageAI, OvuFriend, Toolbox for HR, and Vertis. He is a co-inventor of over 20 US patents and patent applications.

Associate Prof. Nhien-An Le-Khac
University College Dublin (UCD), Ireland

Title

Who Investigates the Investigator? Using AI to solve Cases, and Forensic Analysis of AI Systems

Abstract

AI is rapidly redefining how digital investigations are conducted because AI is becoming not only a powerful investigative instrument but also a new form of digital evidence itself. In this keynote, I will explore the emerging discipline of AI Investigation through two complementary lenses: AI for Investigations, which leverages AI to accelerate evidence discovery, and reveal hidden patterns across massive datasets; and Investigative AI, which is forensically examining AI systems themselves.
In the first part, I will discuss how AI-driven analytics are transforming how investigators discover, correlate, and interpret evidence across large-scale digital environments. I will also highlight the growing role of predictive analytics and pattern recognition in identifying behavioural trends, linking entities, and anticipating criminal activity.
This talk then shifts focus to the analysis of AI systems including the detection of deepfakes, which is an emerging threat to digital trust, adversarial forensics for identifying compromised models, and model auditing approaches. As AI increasingly influences investigative outcomes, understanding how to examine and trust AI systems becomes critical.

Bio

Prof. Nhien-An LE-KHAC, IEEE Senior member, is an Associate Professor at the School of Computer Science, University College Dublin (UCD), Ireland. He is the Program Director of UCD Forensic Computing and Cybercrime Investigation with 1700+ graduates from 75+ countries around the world. He is also a co-founder of the UCD-GNECB Postgraduate Certificate in fraud and e-crime investigation. He published 3 books on Digital Forensics and Cybersecurity, 2 popular public datasets, and has published 250+ scientific papers in peer-reviewed journals, and top-ranked conferences such as AAAI, IJCAI, ECAI with 10+ best paper awards. Assoc. Prof. Le-Khac has got €5M+ of research grants as a Principal Investigator (PI)/Co-PI/Funded Investigator from national and international funding agencies over the past 5 years. He is an Associate Editor of Elsevier Internet of Things. Assoc. Prof. Le-Khac received UCD College of Science Teaching Excellence Award in 2023.