Prof. Lin Chen

IEEE ComSoc Senior Member, Macao Polytechnic University, China

Lin Chen received his B. Sc. degree in Radio Engineering in 2002 from Southeast University, Nanjing, China, his M. Sc. in Networking in 2005 from University of Paris 6, his engineer and Ph. D. degree in Computer Science and Networking in 2005 and 2008 from Telecom ParisTech, Paris. From 2009 to 2019, he was an associate professor at University of Paris-Sud. From 2019 to 2025, he was a professor at Sun Yat-sen University. Since 2025, he has been a professor at Macao Polytechnic University. He worked as a Postdoc Researcher at Telecom ParisTech during 2008-2009 and a visiting researcher at NICTA in 2008.Hewas a member of the Institut Universitaire de France (class 2018) and received the CNRS Bronze Medal in 2018. His research interests are centered around algorithm design and analysis in networked systems.

Prof. Tianlei Ma

Zhengzhou University, China

Ma Tianlei, Ph.D., Professor and Doctoral supervisor at Zhengzhou University, Director of the Experimental Center of the School of Electrical and Information Engineering at Zhengzhou University, Outstanding postdoctoral researcher in national innovation and entrepreneurship, Excellent guiding teacher of the National Graduate Electronic Competition, High-level talent in Henan Province, Outstanding young talent in Central Plains, Science and technology innovation talent in Henan Province, Young scientist of the Henan Province Science and Technology Research and Development Plan Joint Fund, Young talent in Henan Province, Young backbone teacher in Henan Province, Deputy director of the Henan Digital Organization Engineering Technology Center, and Excellent bachelor's/master's thesis guiding teacher in Henan Province. Engaged in long-term research on artificial intelligence and multimodal perception, focusing on issues such as multi-dimensional information fusion and intelligent detection and recognition of targets, multimodal perception and decision-making of robots, proposing basic theoretical methods to promote the development of target recognition and robotics.