Friday, April 1, 2022 4:10 – 5:00 p.m. Zoom: https://tamu.zoom.us/j/96343481647 Dr. Siva Theja Maguluri Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech Talking Points Lyapunov methods for Stochastic Approximation and Reinforcement learning Generalized Moreau Envelop based on infimal convolution smoothing as a Lyapunov function for Stochastic Approximation […]
CESG Seminar: Dr. Tommaso Melodia
Friday, March 4, 2022 4:10 – 5:00 p.m. Zoom: https://tamu.zoom.us/j/96343481647 Dr. Tommaso Melodia William L. Smith Professor, Northeastern University Talking Points – Open, Programmable, and Virtualized Wireless Architectures – O-RAN architecture: Research Challenges – Deep Reinforcement Learning for sequential decision making in the Open RAN – Resources available for at scale prototyping, testing, data […]
CESG Seminar: Dr. Adam Wierman
Friday, February 25, 2022 4:10 – 5:00 p.m. Zoom: https://tamu.zoom.us/j/96343481647 Dr. Adam Wierman Professor of Computing and Mathematical Sciences and Director of Information Sciences and Technology, Caltech Title “Online Optimization and Control using Black-Box Predictions” Abstract Making use of modern black-box AI tools is potentially transformational for online optimization and control. However, such machine-learned […]
Dr. P.R. Kumar: IEEE Alexander Graham Bell Medal
Dr. Kumar is the 2022 recipient of one of the Institute of Electrical and Electronics Engineers’ (IEEE) most prestigious honors — the IEEE Alexander Graham Bell Medal. It is the highest award by IEEE in communications and networking. Kumar was recognized for his seminal contributions to the modeling, analysis and design of wireless networks. For […]
Dr. JV Rajendran – 2022 Young Investigator Award Recipients
Dr. JV Rajendran has won the 2022 Young Investigator Award from the Office of Naval Research Science & Technology! His research work is titled Steel Wool: Next-Generation Hardware Fuzzers and addresses the area of Cyber Security and Complex Software Systems. Congratulations JV!
Best Paper Award – IEEE: Drs. Yasin and Rajendran
Congratulations to former CESG Post-Doc Dr. Muhammad Yasin and Dr. JV Rajendran! Their 2020 paper “Removal Attacks on Logic Locking and Camouflaging Techniques” won a Best Paper Award from the Computer Society Publications Board and IEEE Transactions on Emerging Topics in Computing.
CESG Seminar: Dr. Dinesh Bharadia
Friday, February 11, 2022 4:10 – 5:00 p.m. Zoom: https://tamu.zoom.us/j/96343481647 Dr. Dinesh Bharadia Asst. Professor, Center for Wireless Communications, University of California San Diego Title “Wireless sensing meets autonomous systems: Deployable Low-Overhead RF Localization and Mapping” Abstract The ability to track and locate devices and robots has become increasingly important for new and existing […]
CESG Seminar: Dr. Gauri Joshi
Friday, February 18, 2022 4:10 – 5:00 p.m. Zoom Recording Dr. Gauri Joshi Asst. Professor, Dept. of Electrical & Computer Engineering, Carnegie Mellon University Title “Tackling Computational Heterogeneity in Federated Learning” Talking Points Data Heterogeneity in Federated Learning Variable Computation Speeds of Clients Participating in Federated Learning Client Selection in Federated Learning Abstract The […]
CESG Seminar: Dr. Lisa Pérez
Friday, February 4, 2022 4:10 – 5:00 p.m. Zoom: https://tamu.zoom.us/j/96343481647 Dr. Lisa Pérez Associate Director, Texas A&M’s High Performance Research Computing Title: “AI/ML Frameworks and Advanced Computing Resources to Accelerate Research at Texas A&M’s High Performance Research Computing (HPRC) Facility” Talking Points AI/ML Frameworks High Performance Computing AI and Emerging Technology Abstract Artificial Intelligence […]
CESG Seminar: Dr. Bo Yuan
Friday, January 25, 2021 4:10 – 5:00 p.m. via Zoom (link below) Dr. Bo Yuan Asst. Professor, Dept. of Electrical & Computer Engineering, Rutgers University Title: “Algorithm and Hardware Co-Design for Efficient Deep Learning: Sparse and Low-rank Perspective” Talking Points Algorithm and hardware co-design for structured and unstructured deep neural networks Algorithm and hardware […]