{"id":6722,"date":"2024-07-22T19:23:08","date_gmt":"2024-07-22T19:23:08","guid":{"rendered":"https:\/\/dsc2024.duthu.net:443\/?page_id=6722"},"modified":"2026-04-03T07:48:57","modified_gmt":"2026-04-03T07:48:57","slug":"keynotes","status":"publish","type":"page","link":"https:\/\/iccies.tdtu.edu.vn\/2026\/keynotes\/","title":{"rendered":"Keynotes"},"content":{"rendered":"\n

Keynote Speakers<\/h2>\n\n\n\n
\n
\n
\"\"<\/figure>\n\n\n\n

Prof. Huynh Thi Thanh Binh<\/strong>
Hanoi University of Science and Technology
Scholar profile<\/a><\/p>\n\n\n\n

Title<\/strong> (link slide<\/a>)<\/p>\n\n\n\n

Evolutionary Multitasking: Recent Advances and Applications<\/p>\n\n\n\n

Abstract<\/strong><\/p>\n\n\n\n

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.<\/p>\n\n\n\n

Bio<\/strong><\/p>\n\n\n\n

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 \u2013 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 \u2013 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\u2026
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 \u2013 Germany, U.S Army Research Lab, ONR, Vingroup Innovation Foundation\u2026
She is Chair of IEEE Vietnam section, IEEE Computational Intelligence Society Vietnam Chapter (IEEE Vietnam CIS), Executive member of IEEE Asia Pacific.<\/p>\n<\/div>\n\n\n\n

\n
\"\"<\/figure>\n\n\n\n

Prof. Dominik \u015al\u0119zak<\/strong>
University of Warsaw, Poland
Scholar profile<\/a><\/p>\n\n\n\n

Title<\/strong> (link slide<\/a>)<\/p>\n\n\n\n

Information Systems & Data Summaries<\/p>\n\n\n\n

Abstract<\/strong><\/p>\n\n\n\n

Information systems were introduced by Professor Zdzis\u0142aw Pawlak in the early 80s, as a means for representing data and knowledge. For decades, their concept has been used as the foundation for many data mining and knowledge discovery approaches, including those based on the theory of rough sets. Today, we can look at information systems from a new perspective. Firstly, they can be treated as a representation of information derived dynamically from multiple data and knowledge sources. Secondly, they can be treated as an input to modern analytical methods, allowing humans to interact with data in natural and visual language, whereby objects (\u201erows\u201d of an information system) correspond to entities that we want to reason about and attributes (\u201ecolumns\u201d of an information system) correspond to features of those entities that we are particularly interested in.
In this talk, we discuss what kind of additional information is worth storing in information systems to make them prepared for the aforementioned modern applications. We argue that it is important to represent semantic descriptions of attributes when it comes to both their practical meaning for the users of analytical systems and the way they are extracted from the underlying data and knowledge sources. We also argue that such understood semantic metadata should be enriched by various forms of summaries of value distributions computed for particular attributes or even subsets of attributes, so that algorithms navigating over information systems become prepared for potential problems with data quality and can adapt their parameters to different kinds of data characteristics, which is important not only to run efficient analytical computations but also to present their results back to the users.
In conclusion, we go back to the original idea of Professor Pawlak and, having in mind that this year we celebrate the 100th anniversary of his birth, we discuss to what extent he envisioned today\u2019s role of information systems while introducing them almost 50 years ago.<\/p>\n\n\n\n

Acknowledgement<\/strong><\/p>\n\n\n\n

The results presented in this talk were co-funded by Smart Growth Operational Programme financed by European Regional Development Fund, in the frame of project POIR.01.01.01-00-0570\/19 operated by National Centre for Research and Development in Poland.<\/p>\n\n\n\n

Bio<\/strong><\/p>\n\n\n\n

Dominik \u015al\u0119zak 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.<\/p>\n\n\n\n

Professor \u015al\u0119zak 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 \u2013 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.<\/p>\n\n\n\n

Professor \u015al\u0119zak is also continually engaged in the industry and commercial projects. In 1999, he co-founded QED Software \u2013 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.<\/p>\n<\/div>\n<\/div>\n\n\n\n

\n
\n
\"\"<\/figure>\n\n\n\n

Associate Prof. Nhien-An Le-Khac<\/strong>
University College Dublin (UCD), Ireland<\/p>\n\n\n\n

Title<\/strong><\/p>\n\n\n\n

Who Investigates the Investigator? Using AI to solve Cases, and Forensic Analysis of AI Systems<\/p>\n\n\n\n

Abstract<\/strong><\/p>\n\n\n\n

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.<\/p>\n\n\n\n

Bio<\/strong><\/p>\n\n\n\n

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 \u20ac5M+ 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.<\/p>\n<\/div>\n\n\n\n

<\/div>\n<\/div>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Keynote Speakers Prof. Huynh Thi Thanh BinhHanoi University of Science and TechnologyScholar profile Title (link slide) 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 … <\/p>\n

Read more “Keynotes”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-title.php","meta":{"footnotes":""},"class_list":["post-6722","page","type-page","status-publish","hentry"],"featured_media_urls":[],"_links":{"self":[{"href":"https:\/\/iccies.tdtu.edu.vn\/2026\/wp-json\/wp\/v2\/pages\/6722"}],"collection":[{"href":"https:\/\/iccies.tdtu.edu.vn\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/iccies.tdtu.edu.vn\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/iccies.tdtu.edu.vn\/2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/iccies.tdtu.edu.vn\/2026\/wp-json\/wp\/v2\/comments?post=6722"}],"version-history":[{"count":27,"href":"https:\/\/iccies.tdtu.edu.vn\/2026\/wp-json\/wp\/v2\/pages\/6722\/revisions"}],"predecessor-version":[{"id":7951,"href":"https:\/\/iccies.tdtu.edu.vn\/2026\/wp-json\/wp\/v2\/pages\/6722\/revisions\/7951"}],"wp:attachment":[{"href":"https:\/\/iccies.tdtu.edu.vn\/2026\/wp-json\/wp\/v2\/media?parent=6722"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}