Siddharth Garg
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Stanford University, MS (2005)
Carnegie Mellon University, PhD (2009)
Siddharth Garg | |
|---|---|
| Alma mater | Indian Institute of Technology, Madras, B.Tech (2004) Stanford University, MS (2005) Carnegie Mellon University, PhD (2009) |
| Scientific career | |
| Fields | Computer Science, Cybersecurity |
| Institutions | New York University Tandon School of Engineering |
| Thesis | System-level modeling and mitigation of the impact of process variations on digital integrated circuits (2009) |
| Doctoral advisor | Diana Marculescu |
Siddharth Garg is a cybersecurity researcher and associate professor at New York University Tandon School of Engineering. He is also a member of NYU WIRELESS.[1] Garg is known for his research leveraging machine learning to securely manufacture computer chips so they are less prone to hacking. In 2016, he was named one of Popular Science magazine's "Brilliant 10."[2]
Garg attended Indian Institute of Technology, Madras where he received his Bachelor of Technology degree in 2004. He then attended Stanford University for his Master of Science degree in electrical engineering 2005. For his doctoral research, he attended Carnegie Mellon University, where he received his PhD in 2009.[3] His doctoral advisor was Diana Marculescu and his dissertation, entitled System-level modeling and mitigation of the impact of process variations on digital integrated circuits, received Carnegie Mellon's Angel G. Jordan Award for outstanding thesis contribution.[4]