Plenary Keynote Speakers:
Ass. Prof. Bo Han
Assistant Professor in Machine Learning @ Department of Computer Science
Hong Kong Baptist University Faculty of Science
Associate Editor for IEEE TNNLS ( IEEE Transactions on Neural Networks and Learning Systems), Impact Factor: 14.255
Action Editor for TMLR (Transactions on Machine Learning Research)
Editorial Board of JMLR (Journal of Machine Learning Research) and MLJ (Machine Learning Journal- Springer- IF: 5.414).
Brief Biography
Bo Han is currently an Assistant Professor in Machine Learning and a Director of the Trustworthy Machine Learning and Reasoning Group at Hong Kong Baptist University, and a BAIHO Visiting Scientist at the RIKEN Center for Advanced Intelligence Project (RIKEN AIP), where his research focuses on machine learning, deep learning, foundation models, and their applications. He was a Visiting Faculty Researcher at Microsoft Research (2022) and a Postdoc Fellow at RIKEN AIP (2019-2020). He received his Ph.D. degree in Computer Science from the University of Technology Sydney (2015-2019). During 2018-2019, he was a Research Intern with the AI Residency Program at RIKEN AIP, working on trustworthy representation learning (e.g., Co-teaching and Masking). He also works on causal reasoning for trustworthy learning (e.g., CausalAdv and CausalNL). He has co-authored a machine learning monograph, including Machine Learning with Noisy Labels (MIT Press). He has served as Area Chair of NeurIPS, ICML, ICLR, and UAI. He has also served as Action (Associate) Editor of Transactions on Machine Learning Research and IEEE Transactions on Neural Networks and Learning Systems, and Editorial Board Member of the Journal of Machine Learning Research and Machine Learning Journal. He received Outstanding Paper Award at NeurIPS and Outstanding Area Chair at ICLR. He received the RIKEN BAIHO Award (2019), RGC Early CAREER Scheme (2020), MSRA StarTrack Program (2021), and Tencent AI Faculty Research Award (2022).
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School of Software Engineering
Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence (IF: 4.851)
Professor Huang is a professor and doctoral supervisor of the School of Software Engineering at the South China University of Technology. He is currently serving as an associate editor of IEEE Transactions on Evolutionary Computation (IF: 16.497), Complex & Intelligent Systems (IF: 6.700), and IEEE Transactions on Emerging Topics in Computational Intelligence (IF: 4.851), and Director of Teaching Steering Committee for Software Engineering of Undergraduate Colleges and Universities in Guangdong Province. Prof. Huang has made great contributions to the scholarship on the theories and application of intelligent optimization algorithms. For example, he has proposed a time complexity analysis method of real-world evolutionary algorithms, algorithms for efficient and accurate image matting, a method for automated test case generation based on path coverage, etc. Prof. Huang has hosted more than ten national and provincial projects. He has published two books, Theory and Practice of Intelligent Algorithm and Theory, Methods and Tools for Time Complexity Analysis of Evolutionary Algorithm. He has also published more than 80 papers in IEEE TCYB, IEEE TETC, IEEE TSE, IEEE TEVC, IEEE TIP, IEEE TFS, and Science China, including ESI highly cited papers. Moreover, Prof. Huang attaches great importance to bridging theory and practice. He has 63 domestic invention patent applications and 16 PCT patent applications, with 37 invention patents granted in China and five invention patents granted in the United States. He has been granted or has licensed nearly two-thirds of his patented technologies. Additionally, Prof. Huang pays attention to social services. Over the past five years, he has given more than 50 public lectures on science and technology for government offices, primary and secondary schools, CCF, YOCSEF, media, etc. He also values domestic alternatives to foreign software. He has been in charge of the development and release of some public software systems such as www.autosem.net, www.eatimecomplexity.net, and http://energystorage.autosem.net, which have provided free technical service and support for lots of researchers and engineers.
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Prof. Amit Konar, Jadavpur University, Kolkata, India
Editor in Chief of Springer book series on Cognitive Intelligence and Robotics.
Associate Editor of IEEE Transactions on Fuzzy Systems, IF: 12.253
Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IF: 4.851
Short Biography
Amit Konar (Senior Member, IEEE) received a B.E. degree in electronics and tele- communication engineering from the Indian Institute of Engineering Science and Technology (previously, Bengal Engineering College), Kolkata, India, in 1983, and an M.E. degree in control engineering, the M.Phil. degree in system modeling, and the Ph.D. degree in artificial intelligence from Jadavpur University, Kolkata, in 1985, 1988, and 1994, respectively., He is currently a Professor at the Department of Electronics and Telecommunication Engineering, at Jadavpur University. He has published 15 books, 35 peer-reviewed book chapters, over 100 research articles in leading international journals (including 29 IEEE Transactions), and over 250 research papers published in IEEE Flagship Conference Proceedings. He has supervised 29 Ph.D. theses and over 400 master’s theses, all in the broad area of cognitive neuroscience, AI, and robotics. His current research interests include cognitive neuroscience, type-2 fuzzy logic, multi-agent systems, and scientific creativity. He delivered keynote/tutorial speeches at top flagship IEEE Conferences, including WCCI-2020 and ICASSP-2016. He served as the coordinator/principal investigator of several national-level projects funded by the Government of India and industries. He is serving as an Associate Editor of IEEE Transactions on Fuzzy Systems (TFS) and IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) for several years. He is currently the Editor-in-Chief of the Springer book series on Cognitive Intelligence and Robotics.
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Prof. PELUSI Danilo, University of Teramo, Italy
Associate Editor of IEEE Access, IF: 3.476
Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IF: 14.255
Associate Editor of IEEE Transactions on Intelligent Transportation Systems, IF: 9.551
Brief Biography
Danilo Pelusi received a degree in Physics from the University of Bologna (Italy) and a Ph.D. degree in Computational Astrophysics from the University of Teramo (Italy). Currently, he is an Associate Professor of Computer Science at the Department of Communication Sciences, University of Teramo. Editor of Springer, Elsevier, and CRS books, and Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence (2017-2020), IEEE Access (2018-present), IEEE Transactions on Neural Networks and Learning Systems (2022-present), and IEEE Transactions on Intelligent Transportation Systems (2022-present), he is Guest Editor for Elsevier, Springer, MDPI and Hindawi journals. Keynote speaker, Guest of Honor, and Chair of IEEE conferences, he is the inventor of international patents on Artificial Intelligence. World’s 2% Top Scientist 2021, his research interests include Fuzzy Logic, Neural Networks, Information Theory, Machine Learning, and Evolutionary Algorithms.
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Senior Lecturer in Information Technology,
Senior Member, IEEE | Member, ACS | Member, ACM
Hong Wang, Oak Ridge National Laboratory, USA
Senior Distinguished R&D Staff, Fellow of IET, InstMC, IEEE and AIAA
Associate editor for IEEE Transactions on Neural Networks and Learning Systems, IF: 14.255
Brief Biography
Hong Wang received a BSc degree in Electrical Engineering from the Huainan Institute of Mining Engineering (Huainan Mei Tan Xue Yuan) in 1982, and master’s and doctorate degrees with distinguished grades in process control and power plant engineering from the Huazhong University of Science and Technology (Huazhong Gong Xue Yuan, a top 10 Chinese University), Wuhan, China, in 1984 and 1987, respectively. He moved to the UK in 1988 and was a postdoc Research Fellow with Salford University (Salford, UK), Brunel University (Uxbridge, UK), and Southampton University (Southampton, UK) before joining the University of Manchester Institute of Science and Technology (UMIST), Manchester, U.K., in 1992 as a lecturer in process control. He was then promoted to senior lecturer and reader in 1997 and 1999, respectively at UMIST. Wang was a Chair Professor in Process Control of complex industrial systems at the University of Manchester (a top 25 university in world ranking) from 2002 to 2016, where he was the deputy head of the Paper Science Department, director of the UMIST Control Systems Centre between 2004 – 2007 (which is the birthplace of Modern Control Theory established in 1966). He was a University Senate member and a member of the general assembly for many years during his time in Manchester.
Between 2016 – 2018, he was with Pacific Northwest National Laboratory, US Department of Energy (PNNL, Richland, WA, USA) as a Laboratory Fellow and Chief Scientist, and was the co-leader and chief scientist for the Control of Complex Systems Initiative (https://controls.pnnl.gov/team.stm). Hong Wang joined Oak Ridge National Lab as a corporate fellow grade (Comp Title/Job) in January 2019. He is currently a PI for several projects from DoE on transportation systems, hydropower systems, and manufacturing systems.
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Prof Carl Yang, Emory University, USA
Associate Editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS). IF: 14.255
Associate Editor of IEEE Transactions on Big Data (TBD).
Associate Editor of Big Data Journal, Mary Ann Liebert, Inc. IF: 4.426
Brief Biography
I am an Assistant Professor of Computer Science at Emory University. Before that, I received my Ph.D. in Computer Science at the University of Illinois, Urbana Champaign, where I was working in the Data Mining Group led by Prof. Jiawei Han. Further before, I received my B.Eng. in Computer Science in 2014, from the Chu Kochen Honors College of Zhejiang University, where I was working in the State Key Lab of CAD&CG under Prof. Xiaofei He.
My research interests lie in graph data mining, applied machine learning, knowledge graphs, and federated learning, as well as their applications in recommender systems, social networks, neuroscience, and healthcare.
Program Committee Members:
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Prof. Sabine Theresia Koeszegi, Vienna University of Technology. Austria |
Prof. Sut I Wong, BI Norwegian Business School, Norway |
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Prof. Wai Lok Woo, Northumbria University, United Kingdom
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Prof. Alexandre Delbem, University of Sao Paulo, Brazil |
Assoc. Prof. Chih-Wei Lin, Fujian Agriculture and Forestry University, China |
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Dr. Xiang Wu, Xuzhou Medical University, China |
Dr. Jeffrey White, University Twente, Netherlands |
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Prof. Hyo-Sang Shin, Cranfield University, United Kingdom
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Dr. Shailendra Aote, Shri Ramdeobaba College of Engineering and Management, India |
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Dr. Shipra Tholia, Banaras Hindu University, India |
Prof. Jinglai Li BSc PhD FIMA |
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Dr. Ioan Petri |
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 Prof: Evandro CostaComputing Institute, Federal University of Alagoas Brazil |
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 Prof: Xin FanDalian University of Technology China |
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 Dr.Amjed Sid Ahmed MohamedGlobal College of Engineering and Technology Oman |
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Dr, Vicente Pitogo
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Prof. ChaoTong, Beihang University, China
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Prof. LongzhiYang, Northumbria University, United Kingdom
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Dr. Elaheh Homayounvala, London Metropolitan University, United Kingdom
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Prof. Beatriz De La Iglesia, University of East Anglia, United Kingdom
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Dr. S Rukmini, VIT University, India
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Dr. Amar Singh, University of Wuppertal, Germany
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Dr. Karolina La Fors, University of Twente, Netherlands
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Dr. Steven Bickley, Queensland University of Technology, Australia
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Dr. Diego Rodrigues, Federal Institute of Tocantins, Brazil |
Dr. Zulfiqar Ali, University of Essex, United Kingdom |
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Dr. Aale Luusua, University of Oulu, Finland |
Dr. Jun Liang, South China Normal University, China
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Dr. Yifan Zhao, Cranfield University, United Kingdom |
Dr. Shibin Wang, Henan Normal University, China |
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Dr. Pan Huang, Chongqing University, China
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Dr. Abdallah Salameh, University of Salford, United Kingdom |
| Dr. Amin Muhammad-Shoib, East China Normal University, United Kingdom | Dr Kung Wong LAU, Hong Kong Shue Yan University, Hong Kong China |
Dr. Carlisle E. George, Middlesex University. United Kingdom
Assoc. Prof. Mirko Farina, Innopolis University, Russia
Dr. Mansour Youseffi, University of Bradford, United Kingdom
Dr. Hongchuan Yu
Dr. Xiaohao Cai
Dr. Sangita Babu
Dr. Michalis Pavlidis
Dr. S.Ali Ghorashi, University of East London, United Kingdom
