Dr. Jithin Jagannath, Chief Scientist of Technology at ANDRO Computational Solutions, LLC and Director of the Marconi-Rosenblatt AI/ML Innovation Lab will be a panelist at the upcoming IEEE Consumer Communications & Networking Conference to be held 8-11 January 2023 in Las Vegas, NV. Held in conjunction with the International Consumer Electronics Show (CES), the world’s largest tradeshow on consumer technology, the IEEE Consumer Communications and Networking Conference (CCNC) is a major annual international conference organized with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of consumer communications and networking.
The panel will take place Tuesday, January 10 and will focus on the Role of Machine Learning in Next Generation Wireless Networks. Traditional communication and networked systems have been developed from mathematical models of the wireless channel and optimizing the network based on the model. Modern Machine Learning is fast changing this approach from theoretical models to data-driven models in every aspect of communication and networking. This panel is going to address how machine learning can help to transform the design of next generation wireless communication networks. The experts in this domain will discuss their vision for unifying different approaches in each layer of the network towards an intelligent future network. The speakers will also discuss the efforts required to make these models practical, implementable and reliable.
Dr. Jagannath is also an Adjunct Assistant Professor at the University at Buffalo, State University of New York. He received his Ph.D. degree from Northeastern University. Dr. Jagannath heads several of the ANDRO’s research and development projects in the field of 5G and beyond, machine learning for wireless, advanced signal intelligence, Internet-of-Things, and UAV automation. These projects are sponsored by several customers including the U.S. Army, U.S. Navy, U.S. SOCOM, DHS, and AFSOR. Dr. Jagannath has been invited to give various talks including Keynotes on the topic of machine learning and Beyond 5G wireless communication. He is an IEEE Senior member and serves as an IEEE SPS Applied Signal Processing Systems Technical Committee member. Dr. Jagannath was the recipient of 2021 IEEE Region 1 Technological Innovation Award with the citation, “For innovative contributions in machine learning techniques for the wireless domain”. He is also the recipient of the AFCEA International Meritorious Rising Star Award for achievement in Engineering and AFCEA 40 Under 40. Dr. Jagannath’s recent research has led to 14 patents (granted and pending) and over 40 peer-reviewed publications which include the recipient of best paper award.
For more information, visit 2023 IEEE CCNC | IEEE Consumer Communications & Networking Conference (ieee-ccnc.org)