Applications of Artificial Intelligence/Machine Learning in RF/Microwave Design and Signal Processing
Wednesday, 20 January 2021
Time: 09:45-11:30 AM Eastern Time (Q&A session: 11-11:30 AM)
Moderator/Organizer: Pushkar Kulkarni, Qualcomm
With advancements in algorithms and technology, artificial intelligence (AI) and machine learning (ML) has found its way in abundance in practical applications. At RWW however, we will be focusing on how AI/ML techniques are becoming increasingly popular in RF/Microwave System Design and Signal Processing. Mark your program book, tell your friends, and join the RWW2021 Young Professionals session to learn about these exciting topics and opportunities that lie ahead. Young Professionals session is free for IEEE/MTT-S Members.
Professor Mert Pilanci, Stanford University
Rick Gentile, Mathworks
Dr. Jay Kumar Sundararajan, Qualcomm
Shawn Carpenter and Dr. Ushemadzoro Chipengo, Ansys
Chris Mueth, Keysight Technologies
Professor Mert Pilanci, Stanford University : “A signal processing perspective on modern machine learning and neural networks”
Mert Pilanci is an assistant professor of Electrical Engineering at Stanford University. He received his Ph.D. in Electrical Engineering and Computer Science from UC Berkeley in 2016. Prior to joining Stanford, he was an assistant professor of Electrical Engineering and Computer Science at the University of Michigan. In 2017, he was a Math+X postdoctoral fellow working with Emmanuel Candès at Stanford University. His research interests are in large scale machine learning, optimization, and information theory.
Rick Gentile, Mathworks : “Intelligent RF System Design using Artificial Intelligence”
Rick Gentile works at MathWorks where he is focused on tools that support radar, EW, and wireless communications applications. Prior to joining MathWorks, Rick was a Radar Systems Engineer at MITRE and MIT Lincoln Laboratory, where he worked on the development of many large radar systems. His focus was on signal processing and system integration. Rick also was a DSP Applications Engineer at Analog Devices where he led embedded processor and system level architecture definitions for high performance signal processing systems. He received a B.S. in Electrical and Computer Engineering from the University of Massachusetts, Amherst and an M.S. in Electrical and Computer Engineering from Northeastern University, where his focus areas of study included Microwave Engineering, Communications and Signal Processing.
Dr. Jay Kumar Sundararajan, Qualcomm : “Machine Learning in Wireless Communications”
Jay Kumar Sundararajan is a systems engineer at Qualcomm Research, USA. His research interests are in the area of machine learning and wireless communications. He received the B.Tech. degree from the Department of Electrical Engineering, Indian Institute of Technology Madras, India in 2003 and the SM and PhD degrees from the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA in 2005 and 2009 respectively. He is a recipient of the 2008 Marconi Young Scholar Award in recognition of his graduate research.
Chris Mueth, Keysight : “A New Era of EDA for 5G and Beyond”
Chris works at Keysight Technologies in the PathWave Software Solutions Business to manage new technology and business opportunities. I have worked at Keysight Technologies for 20 years as a marketing manager, planner, and business development manager. Prior to Keysight I spent almost 20 years in RF component, subsystem, and system design as a designer and R&D manager working on a wide variety of products for both enterprise and smaller start up companies.
Shawn Carpenter, Ansys : “Machine Learning for Automotive RADAR Detection”
Shawn Carpenter received his BEE degree in electrical engineering from the University of Minnesota Institute of Technology in 1988, and an MSEE in Electrical Engineering from Syracuse University in 1991 concurrently with the General Electric Thomas Edison Advanced Course in Engineering program. He has served as a Senior Microwave Engineer in Module Design and Array Technology for the GE Aerospace Electronics Laboratory (Syracuse, NY), VP Sales and Marketing for Sonnet Software, Inc., and Director, Sales & Marketing for Delcross Technologies.
Shawn joined Ansys Inc. during the 2015 acquisition of Delcross Technologies, and is currently a Program Director for 5G and Space applications. His current interests include phased array modeling techniques for MIMO and adaptive beamforming, installed antenna-host interactions, mm-wave radar sensor modeling and physical channel modeling for electrically large environments.
Dr. Ushemadzoro Chipengo, Ansys : “Machine Learning for Automotive RADAR Detection”
Ushemadzoro Chipengo received his B.S. degree in electrical engineering from the University of Nicosia, Cyprus in 2013. He received his MSc. and Ph.D. in electrical engineering from The Ohio State University in 2017. With a focus on electromagnetics, he has conducted research on slow wave structures for high power microwave sources, antennas, microwave circuits and computational electromagnetics.
In 2017, he joined Ansys Inc. where he is currently a Senior Application Engineer. He uses his expertise in simulation to solve a wide range of electromagnetics problems. His current research interests include slow wave structures for high power microwave sources, antenna design for automotive applications (V2V, V2I, 5G, RKE, Satellite radio etc.) and automotive radar for advanced driver assistance systems (ADAS).