Siddharth Garg

Assistant Professor

Electrical and Computer Engineering

Siddharth Garg

Siddharth Garg received his Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2009, and a B.Tech. degree in Electrical Enginerring from the Indian Institute of Technology Madras. He joined NYU in Fall 2014 as an Assistant Professor, and prior to that, was an Assistant Professor at the University of Waterloo from 2010-2014. His general research interests are in computer engineering, and more particularly in secure, reliable and energy-efficient computing.

In 2016, Siddharth was listed in Popular Science Magazine's annual list of "Brilliant 10" researchers. Siddharth has received the NSF CAREER Award (2015), and paper awards at the IEEE Symposium on Security and Privacy (S&P) 2016, USENIX Security Symposium 2013, at the Semiconductor Research Consortium TECHCON in 2010, and the International Symposium on Quality in Electronic Design (ISQED) in 2009. Siddharth also received the Angel G. Jordan Award from ECE department of Carnegie Mellon University for outstanding thesis contributions and service to the community. He serves on the technical program committee of several top conferences in the area of computer engineering and computer hardware, and has served as a reviewer for several IEEE and ACM journals.

Stanford University2005

M.S., Electrical Engineering

Indian Institute of Technology Madras2004

B.Tech., Electrical Engineering

Carnegie Mellon University2009

Ph.D., Electrical and Computer Engineering


Carnegie Mellon University

Post-doctoral Fellow

From: October 2009 to August 2010

University of Waterloo

Assistant Professor of Electrical and Computer Engineering

From: September 2010 to August 2014


Journal Articles


A nearly complete list of my publications can be found on my personal website or via my Google Scholar page.


Research Interests


Cyber-security and computer hardware design, with a specific focus on hardware security, low power design, and computing architectures for machine learning. 



 

  • Popular Science Magazine's "Brilliant 10" of 2016
  • Distinguighed Student Paper Award, IEEE Symp. on Security & Privacy (Oakland) 2016
  • NSF CAREER Award 2015
  • Best Student Paper Award, USENIX Security Symposium 2013
  • Angel G. Jordan Award for thesis contributions, CMU 2010
  • Best Paper Award, International Symposium on Quality in Electronic Design (ISQED) 2009