Biography:
Kwang-Cheng (K.-C.) Chen has been a Professor at the Department of Electrical Engineering, University of South Florida, since 2016, and is taking the sabbatical leave at the MediaTek Inc. Dr. Chen is a member of US National Committee on quantum technologies, and chairing a panel (related to cryptography, cybersecurity, and applied & computational math) for National Academies of Sciences, Engineering, and Medicine. From 1987 to 2016, Dr. Chen worked with SSE, Communications Satellite Corp., IBM Thomas J. Watson Research Center, National Tsing Hua University, HP Labs., and National Taiwan University in mobile communications and networks. He visited TU Delft (1998), Aalborg University (2008), Sungkyunkwan University (2013), and Massachusetts Institute of Technology (2012-2013, 2015-2016).  He founded a wireless IC design company in 2001, which was acquired by MediaTek Inc. He has been actively involving in the organization of various IEEE conferences, serving GITC Chair, IEEE Communications Society) and editorships with several IEEE journals and Nature Scientific Reports (Section Editor, Quantum Engineering), together with various IEEE volunteer services to the IEEE, Communications Society, Vehicular Technology Society, and Signal Processing Society, such as founding the Technical Committee on Social Networks in the IEEE Communications Society. Dr. Chen also has contributed essential technology to various international standards, namely IEEE 802 wireless LANs, Bluetooth, LTE and LTE-A, and ITU-T FG ML5G. He has authored and co-authored near 400 IEEE publications, 4 books published by Wiley and River (most recently, Artificial Intelligence in Wireless Robotics, 2019), and more than 29 granted US patents. Dr. Chen is an IEEE Fellow and has received a number of awards including 2011 IEEE COMSOC WTC Recognition Award, 2014 IEEE Jack Neubauer Memorial Award, 2014 IEEE COMSOC AP Outstanding Paper Award. Dr. Chen’s current research interests include quantum communications and computing, wireless networks, post-quantum cryptography, multi-robot systems, and social networks.

Title:
Wireless Robotic Communications – 6G Integrated Communication and Computing

Day/Date/Venue:
Monday, 10 November 2025

Abstract:
Embodied AI, reasoning, and vision-language-action models transform robotics to a new territory of artificial intelligence. Humanoids, self-driving cars, and even humans with xR technology, can all be viewed as robots. To make multiple robots working more efficiently, we demonstrate that wireless robotic communications enhance AI computing, particularly under partially observable operating conditions. From a series of computational experiments, we explore the unique traffic patterns of wireless robotic communications, communication and networking architecture of wireless robotic communications, proper information exchange of wireless robotic communications enhancing the performance of robots. All the outcomes suggest a new technological frontier of integrated communication and computing (ICC) toward 6G vertical systems. When user equipment of significant AI computing capability, wireless (robotic) communications and networking among smart user equipment paves technology avenue toward 6G mobile communications.

Biography:
Prof. Sotir Sotirov is the Head of the Laboratory of Intelligent Systems and a leading researcher in the fields of artificial intelligence, computational modeling, and medical image analysis. His scientific interests focus on hybrid and intuitionistic neural networks, fuzzy logic, and intelligent decision-support systems. He has developed original models that integrate intuitionistic fuzzy sets with deep neural architectures for image interpretation and radiogenomics, contributing to the advancement of explainable and trustworthy artificial intelligence in medicine.
Prof. Sotirov is the author and co-author of over 180 scientific publications in IEEE, Springer, and Elsevier journals. He has served as coordinator and leading expert in numerous national and international research projects in the areas of artificial intelligence, cyber-physical systems, and digital educational technologies.
As a Senior Member of IEEE and a recognized academic leader, Prof. Sotirov actively promotes the integration of advanced AI methods into medicine and education. His current research focuses on hybrid neural architectures that leverage the potential of 6G and edge computing for intelligent and reliable real-time medical image analysis.

Title:
Hybrid Neural Networks for Medical Image Understanding in the 6G Era

Day/Date/Venue:
Tuesday, 11 November 2025

Abstract:

Biography:

Title:

Day/Date/Venue:
Tuesday, 11 November 202

Abstract: