ICENIT2023

Keynote Speakers

Michael Zyda

Professor, University of Southern California, Los Angeles, USA.

Research field: Modern Gaming; Education in Game Design and Development; Utilization of Games; Networking of Large-scale Defense Simulations; Game Engines.

Michael Zyda is a Professor of Engineering Practice and was the Founding Director of USC's Computer Science Games Program in the USC Department of Computer Science. At USC, he founded the Computer Science Games Program and the year-long advanced game projects course that forms the core of USC Games and took that program from no program to the #1 Games program in the world. That program has been rated #1 by the Princeton Review for ten of the last eleven years. His alums have shipped games played by over 5 billion players, about $250B in revenue and $2.5B in payroll to those alums. Zyda is an ACM Fellow, IEEE Fellow, an IEEE Virtual Reality Technical Achievement Award winner, a Senior Member of the National Academy of Inventors, a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) and a National Associate of the National Academies. Zyda is a member of the Editorial Board & Games Column Editor, IEEE Computer magazine. Zyda is a Distinguished Collaborator for the Stanford Human Perception Laboratory affiliated with the Institute for Human-Centered AI.

Ljiljana Trajkovic

Professor, Simon Fraser University, Burnaby, British Columbia, Canada.

Research field: Communication Network; Nonlinear Circuits and Systems.

Ljiljana Trajković is Professor with the School of Engineering Science, Simon Fraser University in Canada. She graduated from University of Pristina in 1974, got her master's degrees in electrical engineering (1979) and computer engineering (1981) from Syracuse University and PhD in electrical engineering from University of California, Los Angeles in 1986. She was an National Science Foundation Visiting Professor at UC Berkeley College of Engineering, and a research scientist and member of technical staff at Bell Labs and Bell Communications Research. She was the President of IEEE Circuits and Systems Society, IEEE Systems, Man, and Cybernetics Society and she currently serves as Editor-in-Chief of IEEE Transactions on Human-Machine Systems. In 2005, she was elected Fellow of the Institute of Electrical and Electronics Engineers "for contributions to computer aided design tools for circuit analysis".

Haibin Zhu

Professor, Nipissing University, Canada.

Research field: Collaboration Systems; Human-Machine Systems; Computational Social Systems; Collective Intelligence; Multi-Agent Systems; Software Engineering; and Distributed Intelligent Systems.

Dr. Haibin Zhu is a Full Professor and the Coordinator of the Computer Science Program, the Founding Director of the Collaborative Systems Laboratory, a member of Arts and Science Executive Committee, Nipissing University, Canada. He is an affiliate professor of Concordia Univ. and an adjunct professor of Laurentian Univ., Canada. He received a BSc degree in computer engineering from the Institute of Engineering and Technology, China (1983), and MSc (1988) and PhD (1997) degrees in computer science from the National Univ. of Defense Tech. (NUDT), China. He has accomplished (published or in press) over 230+ research works including 40+ IEEE Transactions articles, six books, five book chapters, four journal issues, and four conference proceedings. He is a fellow of I2CICC (International Institute of Cognitive Informatics and Cognitive Computing), a senior member of IEEE, a senior member of ACM, a full member of Sigma Xi, and a life member of CAST-USA (Chinese Association of Science and Technology, USA). He was AE of IEEE SMC Magazine (2018-2021), Associate Vice President (AVP), SSE (2021), IEEE SMCS, a Conference (Co-)Chair and Program (Co-)Chair for many international conferences, and a PC member for 140+ academic conferences. He has offered 20+ keynote and plenary speeches for international conferences and 90+ invited talks internationally.

Danilo Avola

Assistant Professor, Sapienza University of Rome, Italy.

Research field: Computer Vision; Image/ Video Processing; Human Computer Interaction; Wi-Fi Signal Processing; Egg Signal Processing; Machine/ Deep Learning; Multimodal Systems; Pattern Recognition; Event/ Action/ Affect Recognition; Action; Scene Understanding; Body Lan

Danilo Avola earned his Ph.D. degree in Molecular and Ultrastructural Imaging from University of L'Aquila, L'Aquila, Italy, in 2014. Since 2021 he is Assistant Professor at the Department of Computer Science of Sapienza University of Rome, where he leads both the Robotics Vision and Artificial Intelligence Laboratory (TITAN Lab) and the Computer Vison Laboratory (VisionLab). In addition, since 2018 he is R&D Senior Engineer at the W•SENSE s.r.l., a spin-off of Sapienza University of Rome, where he leads the Computer Vision Team (CVT), and since 2010 he provides consultation and collaboration to companies engaged in computer science, computer vision, and artificial intelligence research projects. In addition, he is Associate Editor and Guest Editor of different ranked International Journals. His research interests include Computer Vision, Image/Video Processing, Human Computer Interaction, Wi-Fi Signal Processing, EGG Signal Processing, Machine/Deep Learning, Multimodal Systems, Pattern Recognition, Event/Action/Affect Recognition, Action, Scene Understanding, Body Language and Face Expression Interpretation, Robotics (UAVs, AUVs, ROVs, Humanoids), and has published around 100 papers on these topics. Since 2011, Danilo Avola is member of IAPR, CVPL, and IEEE.

Xiangjie Kong

Zhejiang University of Technoligy, China.

Research field: Big Data; Network Science and Computational Social Science.

Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 140 scientific papers in international journals and conferences. His research has been reported by Nature Index and other medias. He has been invited as Reviewers for numerous prestigious journals. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He is named in the2019 and 2020 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at 2 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.