AIBC 2025

Keynote Speakers

 

Keynote Speaker I

Prof. Weinan Gao

Northeastern University, Shenyang, China

Weinan Gao received the Ph.D. degree in Electrical Engineering from New York University, Brooklyn, NY, USA. He is a Professor with the State Key Laboratory of Synthetical Automation for Process Industries at Northeastern University, Shenyang, China. Previously, he was an Assistant Professor of Mechanical and Civil Engineering at Florida Institute of Technology, Melbourne, FL, USA, an Assistant Professor of Electrical and Computer Engineering at Georgia Southern University, Statesboro, GA, USA, and a Visiting Professor of Mitsubishi Electric Research Laboratory (MERL), Cambridge, MA, USA. His research interests include reinforcement learning, adaptive dynamic programming (ADP), optimal control, cooperative adaptive cruise control (CACC), intelligent transportation systems, sampled-data control systems, and output regulation theory. Prof. Gao is the recipient of the best paper award in IEEE Data Driven Control and Learning Systems (DDCLS) Conference in 2023, IEEE International Conference on Real-time Computing and Robotics (RCAR) in 2018 and the David Goodman Research Award at New York University in 2019. He is an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE/CAA Journal of Automatica Sinica, Control Engineering Practice, Neurocomputing and IEEE Transactions on Circuits and Systems II: Express Briefs, a member of Editorial Board of Neural Computing and Applications, and a Technical Committee member in IEEE Control Systems Society on Nonlinear Systems and Control, IFAC TC 1.2 Adaptive and Learning Systems, and CAAI Industrial Artificial Intelligence.

 

Keynote Speaker II

Prof. Lin MENG

Ritsumeikan University (RU), Japan

Lin MENG is a Professor at the College of Science and Engineering and head of the Intelligent High-performance Computing Lab., at Ritsumeikan University (RU), Japan. He received his Ph.D. from the Graduate School of SE at RU 2012. He was a Research Associate, Assistant Professor, and lecturer at the Dept. of ECE, RU. In 2015, he was a visiting scholar in the Dept. of CSE, University of Minnesota at Twin Cities, USA. His research interests include Computer Architecture, Parallel Processing, Intelligence High-Performance Computing (IHPC), FPGA-based Accelerator Design, the Internet of Things (IoT), and Artificial Intelligence (AI). He has published over 360 papers, including IEEE TASE, IEEE TETCI, IEEE TIM, IEEE TSC, IEEE TITS, IEEE IoT J, Adv. Sci., AIRE, APIN, Neurocomputing, Heritage Science, etc. He is among the top 2% of scientists in the updated science-wide author databases of standardized citation indicators created by Elsevier. He serves as an editor for several journals, including IoT J, IJAMechS, and others. In the past three years, he received several funds from the NEDO and the Japan Science and Technology Agency (JST), etc. He is a senior member of IEEE and a member of ACM, IPSJ, IEICE, and IEE.

 

 

 

Invited Speakers

 

Prof. Athakorn Kengpol

King Mongkut’s University of Technology North Bangkok, Thailand

 

Dr. Athakorn Kengpol is Professor of Industrial Engineering at the Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Thailand. He received his PhD in Manufacturing Engineering and Operations Management from The University of Nottingham, UK. He obtained his Post-doctoral Research at University of Innsbruck, Austria and at Lappeenranta University of Technology, Finland. His research interests include Artificial Intelligence, Machine/Deep Learning, Decision Support Systems in Industry 4.0, management information systems and packaging design. His National Awards are, for example, National Outstanding Lecturer, National Outstanding Government Officer etc. His International Awards are, for example, Medal from International Exhibition of Geneva, Switzerland, and Industry Solutions Award from IEOM Society International, USA. He conducted and published research about Machine Learning and Deep Learning in a number of reputable journals, for example, International Journal of Production Economics, International Journal of Production Research, Expert Systems with Applications, Computers and Industrial Engineering etc. He also participated in MSIE-CBHE Erasmus+ Curriculum Development of Master’s Degree Program in Industrial Engineering for Thailand Sustainable Smart Industry (MSIE4.0) funded by the European Commission, and ReCap 4.0 that is proposed to enhance the capacity and ability of the non-university sector at the tertiary level in Thailand for the effective delivery of engineering and technology knowledge and skills related to Industry 4.0 to support Thailand Sustainable Smart Industry.

 

Assist Prof. Damiano Di Francesco Maesa

University of Pisa, Italy

 

Damiano Di Francesco Maesa is Assistant professor at the department of computer science of the University of Pisa, Italy. His past positions include College Research Associate at Clare College of the university of Cambridge, Research Associate at the Innovation and Intellectual Property Management Laboratory of the University of Cambridge, Research Associate at the Computer Lab of the University of Cambridge, Research Associate at King's college London, and Research Assistant at the National Research Institute in Pisa, Italy. He has a PhD in Computer Science from the University of Pisa and specializes in the analysis and study of novel applications of blockchain and Distributed Ledger Technologies (DLT). Beside his academic contributions, he has held several guest lectures, seminars, and workshops to spread awareness on blockchain technology.

 

Dr. Ching-Chun Chang

National Institute of Informatics, Japan

 

Dr. Ching-Chun Chang received his PhD in Computer Science from the University of Warwick, UK, in 2019. He participated in a short-term scientific mission supported by European Cooperation in Science and Technology Actions at the Faculty of Computer Science, Otto-von-Guericke-Universität Magdeburg, Germany, in 2016. He was granted the Marie-Curie fellowship and participated in a research and innovation staff exchange scheme supported by Marie Skłodowska-Curie Actions at the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, USA, in 2017. He was a Visiting Scholar with the School of Computer and Mathematics, Charles Sturt University, Australia, in 2018, and with the School of Information Technology, Deakin University, Australia, in 2019. He was a Research Fellow with the Department of Electronic Engineering, Tsinghua University, China, in 2020. He is currently a researcher with the National Institute of Informatics, Japan. His research interests include steganography, forensics, biometrics, cybersecurity, computer vision, computational linguistics and artificial intelligence.

 

 

Asst. Prof. Chengyan Zhao

Ritsumeikan University, Japan

 

Chengyan Zhao received his Ph.D. of Engineering from Nara Institute of Science and Technology, Japan. From 2021, he joined the Graduate School of Science and Engineering of Ritsumeikan University as an assistant professor. His research interests include positive systems, switched linear systems, and network control system. He is a member of IEEE and a member of AEM, SICE, and ISCIE of Japan.