Siddarth Rai MahendraSiddarth Rai Mahendra, a doctoral student in electrical and computer engineering at Oregon State University, was honored with a Top 10 Presenter Award at the Semiconductor Research Corporation’s TECHCON 2021 conference. The conference showcases cutting-edge research being conducted in areas that will shape semiconductor technology over the next decade.

Mahendra’s presentation, “A Compact and Broadband On-Chip Delay Line Design Based on the Bridged T-Coil,” was selected from over 150 student presentations.

Mahendra, who is an SRC Research Scholar, is advised by Professor Andreas Weisshaar. His research is sponsored by SRC through the Center for Design of Analog-Digital Integrated Circuits.

Mahendra earned a bachelor’s degree in electronics and communication engineering from DA-IICT in India, and a master’ degree in integrated circuit design from National Taipei University in Taiwan. Before coming to Oregon State, he worked as an IC design engineer in Taiwan and in IIT Bombay, India.

SRC is the world’s leading non-profit industry-government-academia microelectronics research consortium funding academic research tasks selected and directed by industry and government members.

Photo of Yue Cao

Yue Cao, assistant professor of electrical and computer engineering in the College of Engineering, will play a significant role in a new $1.5M U.S. Department of Energy ARPA-E award on LOCOMOTIVES – Lowering CO2: Models to Optimize Train Infrastructure, Vehicles, and Energy Storage. Cao will help develop electric propulsion and grid/charging infrastructure models. The project will deliver an open-source tool for futuristic (20-30 years) railroad planning that involves electrified locomotives operating from multi-physics energy storage. This is a collaborative effort with North Carolina State University.

A collaborative project with researchers at Oregon State University and University of Southern California received Best Paper Runner-Up Award at a top conference for computer architecture. The research examines if machine learning can also teach us anything about computer architectural design.

Ting-Ru Lin (University of Southern California), Drew Penney (Oregon State University), Massoud Pedram (University of Southern California), Lizhong Chen (Oregon State University) received the Best Paper Runner-Up Award at the International Symposium on High-Performance Computer Architecture on February 26, 2020.

Drew Penney is a doctoral student of electrical and computer engineering, and Lizhong Chen is an assistant professor of electrical and computer engineering at Oregon State.

The paper, “A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study,” develops a deep reinforcement learning based framework for flexible and efficient architectural design space exploration. The work demonstrates the viability of utilizing machine learning to improve computer architecture, and the framework will be useful for many researchers in the community.