ECE Calendar

https://ece.ncsu.edu/seminar/from-coordination-to-collaboration-in-multi-robot-systems-lessons-from-ecology/

A standard approach to multi-robot systems is to divide the team-level tasks into suitable building blocks and have the robots solve their respective subtasks in a coordinated manner. However, by bringing together robots of different types, it should be possible to arrive at completely new capabilities and skill sets. In other words, the whole could...

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Speaker: Dr. Magnus Egerstedt
Stacey Nicholas Dean of Engineering
University of California Irvine

Dr. Magnus Egerstedt is the Stacey Nicholas Dean of Engineering in the Samueli School of Engineering and a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Irvine. Prior to joining UCI, Egerstedt was on the faculty at the Georgia Institute of Technology, serving as the School Chair in the School of Electrical and Computer Engineering and the Director of Georgia Tech's Institute for Robotics and Intelligent Machines. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt conducts research in the areas of control theory and robotics, with particular focus on control and coordination of multi-robot systems. Magnus Egerstedt is a Fellow of IEEE and IFAC, a member of the Royal Swedish Academy of Engineering Science, and a past president of the IEEE Control Systems Society. He has received several teaching and research awards, including the Ragazzini Award from the American Automatic Control Council, the O. Hugo Schuck Best Paper Award from the American Control Conference, and the Alumni of the Year Award from the Royal Institute of Technology.

https://ece.ncsu.edu/seminar/reliable-communications-for-future-aviation/

Aviation growth will require advances in air-ground and air-air communications, navigation, and surveillance (CNS). Projects such as NASA’s Advanced Air Mobility (AAM), which is aimed at the transportation of both cargo and people in low-altitude flights in and around urban areas, require extremely high-reliability links, sometimes with low latencies. In this presentation, we provide background...

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Speaker: David Matolak
University of South Carolina

David W. Matolak received the B.S. degree from The Pennsylvania State University, M.S. degree from The University of Massachusetts, and Ph.D. degree from The University of Virginia, all in electrical engineering. He has over 25 years’ experience in communication system research, development, and deployment, with industry, government institutions, and academia, including AT&T Bell Labs, L3 Communication Systems, MITRE, and Lockheed Martin. He has over 250 refereed publications and ten patents. He was a professor at Ohio University (1999-2012), and since 2012 has been a professor at the University of South Carolina. He has been Associate Editor for several IEEE journals, is currently the chair of the IEEE VTS Propagation Committee, and has delivered several dozen invited presentations at a variety of international venues. His research interests are radio channel modeling, communication techniques for non-stationary fading channels, and secure and covert communications. Prof. Matolak is a Fellow of the IEEE, a member of standards groups in RTCA and ITU, and a member of Eta Kappa Nu, Sigma Xi, Tau Beta Pi, URSI, ASEE, AAAS, and AIAA.

https://ece.ncsu.edu/seminar/xiaoyue-ni/

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Speaker: Xiaoyue Ni
Duke University

https://ece.ncsu.edu/seminar/circuit-research-challenges-for-next-generation-ai-datacenters/

AI applications on GPU systems have exploded with an almost unlimited appetite for compute. Single-chip inference performance has increased more than 1000X over the last 10 years with improvements ranging from architecture to circuits. Tens of thousands of datacenter connected GPUs are needed for training and inference of state-of-the-art generative AI models. Bandwidth density requirements...

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Speaker: Tom Gray
Senior Director Circuit Research
Nvidia

C. Thomas Gray received the B.S. degree in computer science and mathematics from Mississippi College, Clinton, MS and the M.S. and Ph.D. degrees in computer engineering from North Carolina State University, Raleigh, NC. From 1993 to 1998, he was an Advisory Engineer with IBM, Research Triangle Park, NC working on transceiver design for communication systems. From 1998 to 2004, he was a Senior Staff Design Engineer with the Analog/Mixed Signal Design Group, Cadence Design Systems, working on SerDes system architecture. From 2004 to 2010, he was a Consultant Design Engineer with Artisan/ARM and Technical Lead of SerDes architecture and design. In 2010, he joined Nethra Imaging as a System Architect. His work experience includes digital signal processing design and CMOS implementation of DSP blocks as well as high-speed serial link communication systems, architectures, and implementation. In 2011, he joined NVIDIA, Inc., Durham, NC where he is currently Senior Director of Circuit Research leading activities related to high-speed electrical signaling, photonics, security circuits, low-energy and resilient memories, circuits for machine learning, variation-tolerant clocking, and power delivery.