ProfessorDongrui Wu

IEEE Fellow

Huazhong University of Science 

and Technology, China

Biography: 

Dongrui Wu received a B.E in Automatic Control from the University of Science and Technology of China, Hefei, China, in 2003, an M.Eng in Electrical and Computer Engineering from the National University of Singapore in 2006, and a PhD in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 2009. He is now Professor and Deputy Director of the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.

Prof. Wu's research interests include affective computing, brain-computer interface, computational intelligence, and machine learning. He has 150 publications (6,400+ Google Scholar citations; h=39), including a book "Perceptual Computing" (Wiley-IEEE Press, 2010), and five US/PCT patents. He received the IEEE International Conference on Fuzzy Systems Best Student Paper Award in 2005, the IEEE Computational Intelligence Society (CIS) Outstanding PhD Dissertation Award in 2012, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2014, the North American Fuzzy Information Processing Society (NAFIPS) Early Career Award in 2014, the IEEE Systems, Man and Cybernetics (SMC) Society Early Career Award in 2017, and the IEEE SMC Society Best Associate Editor Award in 2018. He was a finalist of the IEEE Transactions on Affective Computing Most Influential Paper Award in 2015, the IEEE Brain Initiative Best Paper Award in 2016, the 24th International Conference on Neural Information Processing Best Student Paper Award in 2017, the Hanxiang Early Career Award in 2018, and the USERN Prize in Formal Sciences in 2019. He was a selected participant of the Heidelberg Laureate Forum in 2013, the US National Academies Keck Futures Initiative (NAKFI) in 2015, and the US National Academy of Engineering German-American Frontiers of Engineering (GAFOE) in 2015. His team won the First Prize of the China Brain-Computer Interface Competition in 2019.

Prof. Wu is an Associate Editor of the IEEE Transactions on Fuzzy Systems (2011-2018; 2020-), the IEEE Transactions on Human-Machine Systems (since 2014), the IEEE Computational Intelligence Magazine (since 2017), and the IEEE Transactions on Neural Systems and Rehabilitation Engineering (since 2019). He was the lead Guest Editor of the IEEE Computational Intelligence Magazine Special Issue on Computational Intelligence and Affective Computing, and the IEEE Transactions on Fuzzy Systems Special Issue on Brain Computer Interface. He is a Senior Member of the IEEE, a Board member and Distinguished Speaker of the NAFIPS, and a member of IEEE Systems, Man and Cybernetics Society Brain-Machine Interface Systems Technical Committee, IEEE CIS Fuzzy Systems Technical Committee, Emergent Technologies Technical Committee, and Intelligent Systems Applications Technical Committee. He has been Chair/Vice Chair of the IEEE CIS Affective Computing Task Force since 2012.

Professor Xiangjian (Sean) He

University of Nottingham Ningbo, China

Biography: 

Professor Xiangjian (Sean) He is a National Talent of China with a Chair Professor title, and in list of the 'World Top 2% Scientists' reported by Stanford University in 2022, 2023, etc. He is currently the Deputy Head of Computer Science School, the Lead of Research Groups of the Faculty of Science and Engineering and the Director of Computer Vision and Intelligent Perception Laboratory at the University of Nottingham, Ningbo, China (UNNC). 

He was the Professor of Computer Science and the Leader of Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC) at the University of Technology Sydney (UTS) from 2011-2022.  He led the UTS and Hong Kong Polytechnic University (PolyU) joint research project teams winning the 1st Runner-Up prize for the 2017 VIP Cup, and the champion for the 2019 VIP Cup, awarded by IEEE Signal Processing Society. 

He has been carrying out research mainly in the areas of computer vision, data analytics and machine learning in the previous years. He has recently been leading his research teams for deep-learning-based research for various applications. He has played various chair roles in many international conferences such as ACM MM, MMM, ICDAR, IEEE BigDataSE, IEEE BigDataService, IEEE TrustCom, IEEE CIT, IEEE AVSS, IEEE ICPR and IEEE ICARCV.

Associate Professor

Ata Jahangir Moshayedi

IEEE Senior Member

Jiangxi University of Science and Technology, China

Biography: 

Dr. Ata Jahangir Moshayedi is an  Associate Professor at Jiangxi University of Science and Technology, China, holding a PhD in Electronic Science from Savitribai Phule Pune University, India. With a distinguished career spanning academia and research, Dr. Moshayedi is recognized as an IEEE Senior Member and holds esteemed memberships including the Instrument Society of India as a Life Member and Lifetime Member of the Speed Society of India.

Dr. Moshayedi's expertise extends beyond membership, as he actively contributes to the advancement of knowledge in his field. He serves on the editorial boards of several esteemed conferences and journals, including Biomimetic Intelligence and Robotics (BIRob), EAI Endorsed Transactions on AI and Robotics, International Journal of Robotics and Control, JSME, Bulletin of Electrical Engineering and Informatics, and International Journal of Physics and Robotics Applied Electronics.

Throughout his illustrious career, Dr. Moshayedi has made significant scholarly contributions, with more than 80 papers published in national journals and conferences. Additionally, he has authored three books, further solidifying his reputation as a thought leader in his field. His innovative spirit is reflected in his ownership of two patents and nine copyrights, demonstrating his commitment to pushing the boundaries of knowledge and technology.

Dr. Moshayedi's research interests are diverse and impactful, focusing on Robotics and Automation, Sensor Modeling, Bio-inspired Robots, Mobile Robot Olfaction, Plume Tracking, Embedded Systems, Machine Vision-based Systems, Virtual Reality, and Artificial Intelligence. His multidisciplinary approach and dedication to excellence continue to inspire colleagues and students alike, shaping the future of robotics and technology.