Dr. Vijay Ganesh

Professor

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Biography

Vijay Ganesh is an Adjunct Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. Prior to his current position, he was an Associate Professor at the same university from 2012 to 2023 and a Research Scientist at the Massachusetts Institute of Technology from 2007 to 2012. He completed his PhD in Computer Science at Stanford University in 2007. Dr. Ganesh's primary research interests include the theory and practice of SAT/SMT solvers with applications in artificial intelligence, software engineering, security, mathematics, and physics. He has played a significant role in the development of influential SAT/SMT solvers including STP, Z3str4, AlphaZ3, MapleSAT, and MathCheck. His work has expanded to explore the intersection of learning and reasoning, specifically using machine learning to enhance solver efficiency and improve the trustworthiness, security, and robustness of AI systems. He has received numerous awards for his research, including the ACM Impact Paper Award at ISSTA in 2019 and the ACM Test of Time Award at CCS in 2016. Dr. Ganesh also runs a computer security consulting company, VG Security Inc., which advises startups in Waterloo, including Quantstamp, a blockchain smart contract security company.

Research Interests

Experience

Adjunct Professor

2023-01-01 — Present

University of Waterloo • Waterloo, ON, Canada

Teaching and conducting research in Electrical and Computer Engineering.

Associate Professor

2012-01-01 — 2023-01-01

University of Waterloo • Waterloo, ON, Canada

Conducted research and taught courses in Electrical and Computer Engineering.

Research Scientist

2007-01-01 — 2012-01-01

Massachusetts Institute of Technology • Cambridge, MA, USA

Conducted research in Computer Science and developed software tools.

Awards

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ACM Impact Paper Award

2019-01-01
#

ACM Test of Time Award

2016-01-01

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.