Seminars

Friday, April 21, 2023 3:50 – 4:50 p.m. (CST) ZOOM Peipei Zhou Assistant Professor Dept. Electrical and Computer Engineering University of Pittsburgh Title: “CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture” Talking Points Which platform beats 7nm GPU A100 in energy efficiency? AMD Versal ACAP (FPGA+AI Chip)! How to program AMD Versal […]

Friday, March 24, 2023 3:50 – 4:50 p.m. (CST) Zoom (see syllabus or email list for link) Desik Rengarajan  PhD Candidate, Spring 2023 Dept. of Electrical and Computer Engineering Texas A&M University Title: “Enhancing Reinforcement Learning Using Data and Structure” Talking Points Challenges in learning in sparse reward environments Developing RL algorithms that take advantage […]

Friday, February 24, 2023 3:50 – 4:50 p.m. (CST) ETB 1020  Dr. Manoranjan Majji Associate Professor Dept. of Aerospace Engineering Texas A&M University Title: “Advances in Computer Engineering: Impact on Aerospace Applications ” Talking Points Revolutions in computing continue to advance a wide variety of aerospace vehicle navigation and control problems. Three broad applications are discussed […]

Friday, February 10, 2023 3:50 – 4:50 p.m. (CST) ETB 1020  Dr. Jiang Hu Professor Dept. of Electrical and Computer Engineering Affiliate of Computer Science Electrical and Computer Engineering Texas A&M University Title: “Machine Learning for EDA and EDA for Machine Learning” Talking Points A stochastic approach to handling noisy labels in machine learning models […]

Friday, February 3, 2023 3:50 – 4:50 p.m. (CST) ETB 1020  (Zoom option; Links and PW in syllabus or email) Dr. Sabit Ekin Associate Professor Affiliate of Electrical and Computer Engineering Department of Engineering Technology & Industrial Distribution Texas A&M University Title: “An Overview of Wireless Communication, Sensing and IoT Research Projects at Texas Wireless […]

Friday, November 18, 2022 10:20 – 11:10 a.m. (CST) Zoom (Links and PW in syllabus or email) Dr. Sanjay Shakkottai Professor, Department of Electrical and Computer Engineering University of Texas at Austin Title: “The Power of Adaptivity in Representation Learning: from Meta-Learning to Federated Learning” Talking Points Algorithms for multi-task learning that learn representation Understanding […]

Friday, November 11, 2022 10:20 – 11:10 a.m. (CST) Virtual via Zoom: https://tamu.zoom.us/j/93347193479 (password in emails or syllabus) Dr.  Mohammad Ghavamzadeh Senior Staff Research Scientist Google Title: “Mitigating the Risk Associated with Epistemic and Aleatory Uncertainties in MDPs” Abstract Prior work on safe reinforcement learning (RL) has studied risk-aversion to randomness in dynamics (aleatory) and […]

Friday, November 4, 2022 10:20 – 11:10 a.m. (CST) ETB 1020 – **In-person** (Zoom option; Links and PW in syllabus or email) Dr. Alan Kuhnle Assistant Professor, Computer Science and Engineering Texas A&M University Title: “Scalable and Learned Algorithms for Discrete Optimization” Talking Points Linear-time algorithms for subset selection problems RL for learning local search […]

Friday, October 28, 2022 10:20 – 11:10 a.m. (CST) Virtual via Zoom: https://tamu.zoom.us/j/93347193479 (password in emails or syllabus) Dr.  Dileep Kalathil Assistant Professor in the Dept. of Electrical and Computer Engineering Texas A&M University Title: “Reinforcement Learning with Robustness and Safety Guarantees” Talking Points *How do we develop reinforcement learning algorithms that can overcome the simulation-to-reality gap? […]

Friday, ????  2023 10:20 – 11:10 a.m. (CST) Virtual via Zoom: https://tamu.zoom.us/j/93347193479 (password in emails or syllabus) Dr.  Jiantao Jiao Assistant Professor in the Dept. of EECS and the Dept. of Statistics  University of California, Berkeley Title: “Optimal Offline RL with General Function Approximation via Augmented Lagrangian” Talking Points *Statistically optimal offline RL algorithm with […]