Faculty Directory

Shah, Sahil

Shah, Sahil

Assistant Professor
Electrical and Computer Engineering
Robert E. Fischell Institute for Biomedical Devices
2347 AV Williams Building

Sahil Shah is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Maryland, College Park. He officially joined the UMD ECE Department in Spring 2021. His area of expertise is low-power analog and mixed-signal systems for energy-efficient computation. His lab investigates and designs low-power systems that can compute efficiently in a low-resource environment, such as implantable or wearable platforms. Prior to his arrival at the University of Maryland, Sahil was a postdoctoral associate in the department of Electrical Engineering at California Institute of Technology. At Caltech, he pursued research on developing robust brain-machine interface for enabling patients to control prosthetic devices. He received his PhD in Electrical Engineering from Georgia Institute of Technology in 2018 where he developed reconfigurable mixed-signal neural networks for monitoring vital and physiological signals. In 2014, he received M.Sc. from Arizona State University for developing CMOS based biosensors for monitoring pH in cell-culture media. His research interests fall into three major areas: Energy-Efficient integrated circuits, Embedded Machine learning, and Bio-Sensing and Monitoring. Sahil's long term goal is to develop robust and energy-efficient devices that will equip physicians with tools to make better diagnosis, tailor rehabilitation process for patients and technology that will help us better understand physiological and neurological activity.



HONORS AND AWARDS

  • Analog Devices Inc. Outstanding Student Designer Award (2015)
  • Marion A. and Henry C. Bourne fellowship from Georgia Institute of Technology

  • Energy-Efficient Integrated Circuits
  • Embedded Machine Learning
  • Bio-Sensing and Monitoring

Sahil Shah Receives NSF CAREER Award

Research Focuses on Brain-Machine Interfaces

ECE Faculty Awarded Funding for AI Hardware

Shah, Yeung and Manocha Selected for SRC Program

Shah Receives Grant from National Science Foundation

Study will Focus on Heterogeneous Integration of Complementary Metal-Oxide Semiconductors with Ferroelectric-based emerging devices.

2023 ECE Undergraduate Awards Announced

Students honored at 2023 Clark School Honors & Awards Ceremony

ECE Junior, Elijah Taeckens, co-authors paper accepted into IEEE Conference

Research Recognized with Outstanding ASPIRE Student Research Award

New Wearable Sensor Modules with Edge Machine Learning for Avatar Reconstruction

Po-Yen Chen and Sahil Shah Published in Nature Communications Journal

Shah Receives NSF Grant to Improve Extreme Edge Devices

Smart Extreme Edge Device will take inspiration from the human brain.

Electric power grid signatures may aid in image and video verification

The new forensic technique could help determine where and when digital still images were captured.

New website showcases work of Clark School’s microelectronics researchers

The site offers a first-hand look into Maryland’s capabilities, research and education opportunities in this important field.