https://ece.ncsu.edu/seminar/from-guided-sampling-to-learned-solvers-diffusion-models-for-inverse-problems/

Diffusion models have recently achieved remarkable success across a wide range of domains, establishing themselves as powerful generative priors for solving complex inverse problems. This work focuses on developing principled and efficient algorithms that leverage diffusion models for both sampling-based and learning-based reconstruction. In the first part, we will present two complementary strategies for guiding...

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Speaker: Dr. Santiago Segarra
Associate Professor of Electrical and Computer Engineering
Rice University

Santiago Segarra received the B.Sc. degree in Industrial Engineering with highest honors (Valedictorian) from the Instituto Tecnológico de Buenos Aires (ITBA), Argentina, in 2011, the M.Sc. in Electrical Engineering from the University of Pennsylvania (Penn), Philadelphia, in 2014 and the Ph.D. degree in Electrical and Systems Engineering from Penn in 2016. From September 2016 to June 2018, he was a postdoctoral research associate with the Institute for Data, Systems, and Society at the Massachusetts Institute of Technology. He joined Rice University in 2018 as an Assistant Professor and, since July 2024, Dr. Segarra is a W. M. Rice Trustee Associate Professor in the Department of Electrical and Computer Engineering at Rice University. He also holds courtesy appointments in the Departments of Computer Science and Statistics. His research interests include network theory, data analysis, machine learning, and graph signal processing. Dr. Segarra received the 2011 Outstanding Graduate Award granted by the National Academy of Engineering of Argentina, the 2017 Penn’s Joseph and Rosaline Wolf Award for Best Doctoral Dissertation in Electrical and Systems Engineering, the 2020 IEEE Signal Processing Society Young Author Best Paper Award, the 2021 Rice’s School of Engineering Research + Teaching Excellence Award, three early career awards (NSF CAREER, ARO ECP, and ARI Early Career), and five best conference paper awards.

https://ece.ncsu.edu/seminar/adaptive-processor-designs/

System-on-chip (SoC) processors across a wide range of market segments, including Internet of Things (IoT), mobile, laptop, automotive, and datacenter, experience dynamic device, circuit, and system parameter variations during the operational lifetime. These dynamic parameter variations, including supply voltage droops, temperature changes, transistor aging, and workload fluctuations, degrade processor performance, energy efficiency, yield, and reliability....

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Speaker: Dr. Keith Bowman
Principal Engineer and Director
Qualcomm

Keith A. Bowman is a Principal Engineer and Director of the System-on-Chip Research Lab at Qualcomm Technologies, Inc. in Raleigh, NC. He directs the research and development of innovative circuit and system technologies to improve the performance, energy efficiency, yield, reliability, and security of Qualcomm processors. Dr. Bowman and his team pioneered four commercially successful circuit and system solutions, significantly benefiting CPUs, GPUs, neural processing units (NPUs), and secure processing unit (SPUs) across internet-of things (IoT), mobile, laptop, and automotive platforms. He received the B.S. degree from North Carolina State University in 1994 and the M.S. and Ph.D. degrees from the Georgia Institute of Technology in 1995 and 2001, respectively, all in electrical engineering. His career includes a 12-year tenure at Intel Corporation in Hillsboro, OR prior to joining Qualcomm in 2013. Dr. Bowman has published over 90 technical papers, received more than 100 patents, and given over 50 tutorial, special-session, and keynote presentations. His contributions have been recognized with the 2016 Qualcomm Corporate Research and Development (CRD) Distinguished Contributor Award for Technical Contributions, representing CRD’s highest recognition, and the 2022 Qualcomm IP Achievement Award. In 2025, he was inducted into the North Carolina State University Electrical and Computer Engineering Alumni Hall of Fame. He has held various leadership roles within the IEEE Solid-State Circuits Society (SSCS) such as serving as an IEEE SSCS Distinguished Lecturer, IEEE SSCS Mentor, and multiple technical committee positions for the IEEE International Solid-State Circuits Conference (ISSCC). He currently serves as the ISSCC 2026 Program Chair. He is a Fellow of the IEEE.

https://ece.ncsu.edu/seminar/wearable-nearable-and-ingestible-bioelectronics-for-precision-medicine/

This seminar will present a vision for “human-in-the-loop” precision medicine enabled by emerging wearable, nearable, and ingestible bioelectronics. The talk will highlight thread-based diagnostic platforms—including sweat-sensing bandages, saliva-sensing floss, and smart sutures for monitoring wound healing—that integrate seamlessly with the body and daily routine for continuous biochemical and physiological sensing. The seminar will also cover...

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Speaker: Dr. Sameer Sonkusale
Professor of Electrical and Computer Engineering
Tufts University

Sameer Sonkusale is a Professor of Electrical and Computer Engineering at Tufts University, where he holds joint appointments in the departments of Biomedical Engineering and Chemical and Biological Engineering. He also served as a visiting professor at the Wyss Institute at Harvard University and Brigham and Women’s Hospital of the Harvard Medical School during 2011-2012 and 2018-2019, respectively. He currently directs an interdisciplinary research group focusing on devices, circuits, and systems for healthcare, biology, life sciences, and the environment. Dr. Sonkusale earned his MS and PhD in Electrical Engineering from the University of Pennsylvania and has received several awards, including the National Science Foundation CAREER award in 2010. He was also honored with a Distinguished Alumni award from his alma mater, BITS Pilani.

Dr. Sonkusale has also been active in translating his research into companies, and currently serves asa a scientific founder and Advisor to three companies, Anodyne Nanotech (Drug delivery), Microvitality (Microbiome) and SalivaSens (saliva diagnostics). In 2025, he was named the Distinguished Innovator of the year by Tufts University. Dr. Sonkusale has served on the editorial boards of several prominent journals, including Scientific Reports, IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Circuits and Systems, PLoS One, and Electronic Letters. He is a fellow of the American Institute of Medical and Biological Engineering (AIMBE) and a senior member of National Academy of Inventors (NAI) and the IEEE. He is currently the CAS Distinguished Lecturer of the IEEE Circuits and Systems Society.