KEYNOTE SPEAKERS

Keynote Speakers

Keynote Speaker I

Prof. Xudong Jiang (IEEE Fellow)

Nanyang Technological University, Singapore

Dr. Xudong Jiang received the B.Eng. and M.Eng. from the University of Electronic Science and Technology of China (UESTC), and the Ph.D. degree from Helmut Schmidt University, Hamburg, Germany. From 1986 to 1993, he was a Lecturer with UESTC, where he received two Science and Technology Awards from the Ministry for Electronic Industry of China. From 1998 to 2004, he was with the Institute for Infocomm Research, A-Star, Singapore, as a Lead Scientist and the Head of the Biometrics Laboratory, where he developed a system that achieved the most efficiency and the second most accuracy at the International Fingerprint Verification Competition in 2000. He joined Nanyang Technological University (NTU), Singapore, as a Faculty Member, in 2004, and served as the Director of the Centre for Information Security from 2005 to 2011. Currently, he is a professor in NTU. Dr Jiang holds 7 patents and has authored over 150 papers with over 40 papers in the IEEE journals, including 11 papers in IEEE T-IP and 6 papers in IEEE T-PAMI. Three of his papers have been listed as the top 1% highly cited papers in the academic field of Engineering by Essential Science Indicators. He served as IFS TC Member of the IEEE Signal Processing Society from 2015 to 2017, Associate Editor for IEEE SPL from 2014 to 2018, Associate Editor for IEEE T-IP from 2016 to 2020 and the founding editorial board member for IET Biometrics form 2012 to 2019. Dr Jiang is currently an IEEE Fellow and serves as Senior Area Editor for IEEE T-IP and Editor-in-Chief for IET Biometrics. His current research interests include image processing, pattern recognition, computer vision, machine learning, and biometrics.
 

Keynote Speaker II

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 III

Prof. Jianhua Zhang, Oslo Metropolitan University, Norway

Jianhua Zhang received PhD in electrical engineering and information science from Ruhr University Bochum, Germany in 2005 and was Postdoctoral Research Associate at Intelligent Systems Research Lab, the University of Sheffield, UK from 2005 to 2006.
Dr Zhang has been Full Professor in Computer Science at Oslo Metropolitan University (OsloMet), Norway since 2018. Before joining OsloMet, he worked at the French IT company, Vekia, as Scientific Director as well as Head of its Machine Learning Lab from 2017 and 2018. He was Full Professor and Head of Intelligent Systems Group at School of Information Science and Engineering, East China University of Science and Technology, China between 2007 and 2017. He was Guest Scientist at Dresden University of Technology, Germany from 2002 to 2003 and Visiting Professor at Technical University of Berlin, Germany during 2008-2015.
Dr Zhang has worked in the fields of AI, control systems and signal processing since mid-1990s. His current research interests include computational intelligence, machine learning, intelligent systems and control, adaptive signal processing, and neurocomputing. The primary applications are in the fields of engineering/industry, biomedicine, chemistry, and business/finance. So far he has published four books, 11 book chapters, and more than 200 peer-reviewed journal and conference papers in those areas.
Dr Zhang serves as Chair of IFAC (International Federation for Automatic Control) Technical Committee on Human-Machine Systems for two consecutive terms (2017 - 2023), Vice Chair of Executive Committee of IEEE Norway Section (2019 - 2023), and Vice Chair of IEEE CIS (Computational Intelligence Society) Norway Chapter (2019 - present). He is on Editorial Board of four international scientific journals, including Frontiers in Neuroscience, Cognitive Neurodynamics (Springer), and Cognition, Technology and Work (Springer).

 

Invited Speaker

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.