KEYNOTE SPEAKERS

Keynote Speakers

Keynote Speaker I

Prof. Changxu Wu, Tsinghua University, China

Dr. Changxu Wu received his Ph.D. degree in Industrial and Operational Engineering from the University of Michigan-Ann Arbor (2007). He is a full professor of Department of Industrial Engineering in Tsinghua University, China since 2020.  From 2017-2020, he was a professor of Department of Systems and Industrial Engineering University of Arizona. Dr. Wu directs the Cognitive System Lab and he is interested in integrating cognitive science and engineering system design, especially modeling human cognition system with its applications in system design, improving transportation safety, promoting human performance in human-computer interaction, and inventing innovative sustainable and smart energy systems with human in the loop. Dr. Wu has published 116 papers in the field including 80 journal papers, 36 conference papers, 1 book chapter, and 2 patents in intelligent system design authorized. The journal papers include IEEE Transactions on Systems, Man, and Cybernetics (Part A), IEEE Transactions on Intelligent Transportations Systems, Psychological Review (Impact Factor: 9.02), ACM Transactions on Computer-Human Interaction, International Journal of Human-Computer Studies, as well as several other journals. He was the Chair of Human Performance Modeling Technical Group of Human Factors and Ergonomics Society (HFES) in USA. He is also Associate Editors for IEEE Transactions on Intelligent Transportations Systems, IEEE Transaction on Human-Machine Systems, and Behaviour & Information Technology. He received the Senior Researcher of the Year Award from the Dean of School the Engineering & Applied Sciences at SUNY Buffalo and Outstanding Student Instructor Award from the American Society of Engineering Education (ASEE).

 

Keynote Speaker II

Dr Liu Yong is the Deputy Department Director, Computing & Intelligence Department at Institute of High Performance Computing (IHPC), A*STAR, Singapore. He also holds a position as Adjunct Assistant Professor at Duke-NUS Medical School, NUS and Adjunct Principal Investigator at Singapore Eye Research Institute (SERI). He is also Chair of IEEE Systems, Man and Cybernetics Society (Singapore Chapter). Being passionate on the potential of AI on healthcare, he has led multiple research projects in multimodal machine learning, medical imaging analysis, especially AI for healthcare. He is currently working as Program Lead (AI) for a large research program in the area of AI for digital ophthalmology. He and his team have been awarded multiple NMRC grants. He has published papers in top tier AI and medical journals and conferences including New England Journal of Medicine (NEJM), Nature Medicine, Lancet Digital Health, Neurology, AAAI, MICCAI, IROS, ICDE, and IJCAI. One of his papers received Best Paper Award at BeyondLabeler Workshop on International Joint Conference on Artificial Intelligence (IJCAI) 2016. He and his team has also won the NSCC Outstanding HPC Innovation Award 2017, and the first prize of Rakuten TV recommendation Challenge 2015.

 

Invited Speakers

Invited Speaker I

Prof. Maxim Bakaev, Novosibirsk State Technical University, Russia

Maxim Bakaev got his PhD degree in Software Engineering in 2012. He currently works as Associate Professor of the Automated Control Systems department of Novosibirsk State Technical University (NSTU), Russia. He is also the Acting Head of the Data Collection and Processing Systems department. Previously, he received his Master Degree in Digital Design from Kyungsung University, South Korea. His research interests include Human-Computer Interaction, Universal Design, Web User Interfaces, User Behavior Models, Knowledge Engineering, Machine Learning, etc. (https://www.researchgate.net/profile/Maxim-Bakaev) His recent research results are related to perception of visual complexity in graphical user interfaces (UIs) and its relation to Gestalt principles and compression algorithms. So, he has proposed the Index of Difficulty for tasks that involve visual-spatial working memory. He oversees the development of the Web UI Measurement Platform (http://va.wuikb.info/) that integrates online services for collecting ML data for UI assessment. He has served as a committee member for several international conferences, particularly as PC Co-Chair for ICMSC 2018 and ICWE 2019, as Demo & Posters Chair for ICWE 2020, and as Workshops Co-Chair for ICWE 2021. He also served as a reviewer for several international conferences and journals, including CHI, UIST, International Journal of Human-Computer Studies, Applied Ontology, Symmetry, etc. He is the Guest Editor for "Complexity in Human-Computer Interfaces: Information-Theoretic Approaches and Beyond", a Special Issue in Mathematics journal. He is also a Section Editor for the Journal of Web Engineering. He has acted as PI or participant in several research grants, domestic and international. In 2016, he received Novosibirsk City Hall award in science and innovations as a "Best young researcher in higher education institutions". Under his supervision, more than 20 Master and Bachelor students graduated.

Invited Speaker II

Prof. Tetsuya Yoshida, Nara Women's University, Japan

Dr.Yoshida received his Ph.D degree in Advanced Interdisciplinary Engineering from the University of Tokyo in 1997. He majored in Aeronautics and Astronautics as a bachelor and master student, and also majored in Artificial Intelligence for Master of Science at the University of Edinburgh. Since 2014, he is a full processor in Nara Women's University, Japan, and currently the vice dean of the Faculty of Engineering in Nara Women's University. He has published papers in Fundamenta Informaticae, Computational Intelligence, Intelligent Information Systems, Social Network Analysis and Mining, ICDM. His research interests include Machine Learning in terms of graph-based approach, social network analysis, data science, and digital fabrication.