As of August 1, 2024, Dr. Peeples is officially an Assistant Professor serving in the Department of Electrical and Computer Engineering at Texas A&M University. Dr. Peeples developed and refined novel deep learning methods for texture characterization, segmentation, and classification. He also explores developing algorithms for various real-world applications in different domains such as biomedical […]
CESG Seminar: Srikanth Saripalli
Friday, August 23, 2024 10:20 a.m. (CST) ETB 1020 Dr. Srikanth Saripalli Professor, Department of Mechanical Engineering, Texas A&M University Title: “Autonomy in the Wild: Perception and Control for Off-Road Autonomous Vehicles” Abstract This talk focuses on perception and planning algorithms for […]
Remotely Controlled Jackal Unmanned Ground Vehicle Over Private Cellular Network
The UGV maneuvering through cones in Lot 74 On Wednesday, July 17, 2024, Dr. Shakkottai and his team members, Dr. Woo-Hyun Ko, Avery Austin and Jeremy Carleton, showcased their live demo, remotely controlling a Jackal Unmanned Ground Vehicle (UGV) over the universities’ new private cellular network, the TAMU Private Cellular Wireless Network (TPCWN). The UGV […]
Drs. Shakkottai and Narayanan Presenting in Canada in May 2024
IEEE’s 2024 Communication Theory Workshop features two of our ECE faculty. Dr. Srinivas Shakkottai “Structured Reinforcement Learning for Resource Allocation in O-RAN” (May 21) Dr. Krishna Narayanan “In-Context Estimation for Wireless Communications using Transformers” (May 20) The enduring prosperity of this workshop is attributed to its relaxed and exceptionally interactive ambiance, setting it apart from more conventional […]
Student Awards: Sambandh Dhal
Congratulations to our May 2023 Doctoral Graduate Sambandh Dhal for The Association of Former Students Association of Former Students Distinguished Graduate Excellence in Research Doctoral Award! Mr. Dhal was nominated by several instructors for The Association of Former Students Association of Former Students Distinguished Graduate Excellence in Research Doctoral Award and after going through the […]
Special Seminar: Naehyuck Chang
Monday, May 13, 2024 10:15 – 11:15 a.m. (CST) WEB 236C Dr. Naehyuck Chang Executive Vice President | Samsung SDI America Title: “The Challenges and Opportunities in the Mobility Electrification“ Abstract The electrification of mobilities is essential for sustainability, and governments are pushing hard to expedite electric vehicle penetration. As a result, many electric vehicles […]
Fishbowl Seminar: Kiran Kuchi
Tuesday, April 30, 2024 10:00 – 11:00 a.m. (CST) WEB 333’s Fishbowl Dr. Kiran Kuchi Professor, Department Electrical Engineering Indian Institute of Technology Hyderabad Title: “Orthogonal Time Frequency Multiplexing (OTFDM): A Novel Waveform Targeted for IMT-2030” Abstract The landscape of International Mobile Telecommunications (IMT) is rapidly evolving with the recent release of the ITU WP […]
CESG Seminar: Jennifer Dworak
Friday, April 12, 2024 10:20 a.m. – 11:10 a.m. (CST) ETB 1020 Jennifer Dworak Professor @ Southern Methodist University, Electrical and Computer Engineering Title: “Keeping Customers Happy (and Safe)! Designing Circuits to Enhance Defect Detection and Avoid Errors and Silent Data Corruption“ Abstract The impact of failing integrated circuits (ICs) can vary from an annoyance to a […]
CESG Seminar: Parthasarathy (Partha) Ranganathan
Friday, April 5, 2024 10:20 a.m. – 11:10 a.m. (CST) ETB 1020 Parthasarathy (Partha) Ranganathan VP / Technical Fellow | Google Title: “A 6-Word Story on the Future of Infrastructure: AI-Driven, Software-Defined, Uncomfortably Exciting“ Abstract We are at an interesting inflection point in the design of computing systems. On one hand, demand for computing is accelerating […]
CESG Seminar: Alok N. Choudhary
Friday, March 22, 2024 10:20 a.m. – 11:10 a.m. (CST) ETB 1020 Dr. Alok N. Choudhary Harold Washington Professor, Electrical and Computer Engineering and Computer Science Departments Northwestern University Title: “AI for Science” Abstract “AI for Science” seeks to explore and develop Machine Learning and Data Mining (“AI”) approaches for accelerating scientific discoveries as well […]