Keynote Speaker I
Koichi Takeuchi
Okayama University, Japan
Koichi Takeuchi is an Associate Professor at the Graduate School of Environmental, Life, Natural Science and Technology, Okayama University. He received his PhD from Nara Institute of Science and Technology in 1998 and subsequently worked as an Assistant Professor.at National Institute of Informatics. From 2002 to 2003, he conducted research at INRIA Lorraine in France as an invited researcher. He joined Okayama University in 2003 and has been serving as an Associate Professor since 2021. His current research interests include automatic essay grading, analysis of predicate-argument structures, text mining, terminology extraction, and the application of language models in the medical field.
Keynote Speaker II
Boris Koldehofe
Technical University of Ilmenau, Germany
Boris Koldehofe is a Full Professor at the Technical University of Ilmenau, leading the Distributed and Operating Systems Group at the department of Computer Science and Automation. He received a Ph.D. degree from Chalmers University of Technology, Gothenburg, Sweden, in 2005. Since then, he has worked in the field of distributed and network-centric computing systems at the EPFL (PostDoc), the University of Stuttgart, the Technical University of Darmstadt (Senior researcher and lecturer), and the University of Groningen (Full professor). He has a long-standing interest in event-based and stream processing systems, covering issues related to scalability, performance, mobility, reliability, and security. His current research focuses complementary on software-defined networks, adaptive communication middleware, distributed in-network computing, and energy-efficient computing. He has contributed to more than 150 scientific publications in major journals, e.g., the IEEE Transactions on Networking (ToN) and the IEEE Transactions on Parallel and Distributed Systems, and conferences, e.g., the ACM/USENIX Middleware and the ACM DEBS conferences. He has also served as a Tutorial Speaker for the ACM/USENIX Middleware, ACM DEBS, GI, and NetSys conferences.
Keynote Speaker III
Minh N. H. Nguyen
The University of Danang – Vietnam-Korea University of Information and Communication Technology
Minh N. H. Nguyen received a BE degree in Computer Science and Engineering from Ho Chi Minh City University of Technology, Vietnam, in 2013 and a Ph.D. degree in Computer Science and Engineering from Kyung Hee University, South Korea, in 2020. He continued the research on Federated Learning and Democratized Learning with the PostDoc at Intelligent Networking lab, Kyung Hee University, South Korea till 2022. He is Deputy Head of Department of Science, Technology, and International Cooperation, and In charge of Research Program at Digital Science and Technology Institute, The University of Danang – Vietnam - Korea University of Information and Communication Technology, Vietnam. He received the best KHU Ph.D. thesis award in engineering in 2020. He received the best KHU Ph.D. thesis award in engineering in 2020. Among over 60 his publications, he had 20 publications in premier journals such as IEEE TNNLS, Information Fusion, ACM/IEEE ToN, IEEE TWC, IEEE TMC, IEEE TVT, IEEE IoT, IEEE CM, IEEE CIM, Neural Networks, EAAI, etc., and INFOCOM rank A* conference. He participated as Track Chair and Session Chair for International ATC and CITA Conferences. His research interests include federated learning, natural language processing, multimodal learning, and wireless communications. He delivered Federated Learning keynotes in EAI ADHOCNETS-2023, Artificial Intelligence & Machine Learning (AIM 2024).