AI-Supported Networking Analytics and Next-Generation Wireless Systems
Future networking and wireless systems require efficient network traffic analytics, seamless connectivity for Internet-of-Things (IoT) devices, and low-latency wireless communications, to support the emergence of new applications such as digital twin, e-business and smart manufacturing, as well as skyrocketing penetration of massive network devices. This talk will first present a new paradigm of sustainable AI supported network traffic analytics, including self-evaluation on performance and self- maintained knowledge database for a network traffic classifier (NTC), acceleration on NTC implementation, resource aware network quality-of-service clustering, and a simulation platform. The second part of this talk will present an IoT communication platform with the capabilities of autonomous technology detection, seamless transmit power control, and seamless IoT security. The third part of this talk will present fast channel state information (CSI) processing in the next-generation massive multiple- input-multiple-output communication systems. The focus in this part will be on closing the gap between the current AI-based CSI processing and the coherence time requirement in massive MIMO systems.
Dr. Feng Ye received a Ph.D. degree from the University of Nebraska – Lincoln (UNL), Omaha, NE, USA, 2015 and a B.S. degree from Shanghai Jiao Tong University, Shanghai, China, 2011. He is currently an associate professor in the department of Electrical and Computer Engineering (ECE), University of Dayton (UD). His research interests include wireless communications and networks, artificial intelligence in networking, information and network security, and Internet of Things. He currently serves as the vice chair of the IEEE ComSoc Green Communications & Computing Technical Committee. He is a column editor for the IEEE Wireless Communications. He is an associate editor for the IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE/CIC China Communications, and Security and Privacy Journal (Wiley). He serves and has served as a symposium co-chair for several IEEE top conferences, such as the 2022 IEEE Future Networks World Forum – Green Communications Symposium; IEEE VTC’21 Fall Spectrum Management, Radio Access Technology, Services and Security Track; IEEE ICC 2021 Green Communication Systems and Networks Symposium; ICNC’19 Signal Processing for Communications Symposium; and IEEE ICC 2018 Cognitive Radio and Networking Symposium. He also serves as a TPC member for numerous international conferences, including INFOCOM, GLOBECOM, VTC, ICC, etc. He was nominated by UD for the 2023 Blavatnik Award for Young Scientists in the Physical Sciences and Engineering category. He was awarded 2020 IEEE Dayton Section Ravi Pallerla Memorial Award for Young Professionals, and a Distinguished Member of INFOCOM TPC (2022 & 2019).