Vijay Ganesh

Biography
Dr. Vijay Ganesh is a Professor of Computer Science at the Georgia Institute of Technology. Prior to joining Georgia Tech in 2023, he was an Associate Professor at the University of Waterloo 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 focuses on the theory and practice of SAT/SMT solvers and their applications in artificial intelligence, software engineering, security, mathematics, and physics. He has played a key role in developing several influential SAT/SMT solvers, including STP, Z3str4, AlphaZ3, MapleSAT, and MathCheck. In addition to his work on solvers, Dr. Ganesh has made significant contributions to decidability and complexity results in first-order theories. More recently, his research has expanded to explore the intersection of learning and reasoning, particularly using machine learning to enhance solver efficiency and leveraging solvers to improve the trustworthiness, security, and robustness of AI systems.
Dr. Ganesh has received over 30 awards, honors, and medals for his research, including an ACM Impact Paper Award at ISSTA 2019, an ACM Test of Time Award at CCS 2016, and a Ten-Year Most Influential Paper citation at DATE 2008.
Dr. Ganesh’s primary research focuses on the theory and practice of SAT/SMT solvers and their applications in artificial intelligence, software engineering, security, mathematics, and physics. He has played a key role in developing several influential SAT/SMT solvers, including STP, Z3str4, AlphaZ3, MapleSAT, and MathCheck. In addition to his work on solvers, Dr. Ganesh has made significant contributions to decidability and complexity results in first-order theories. More recently, his research has expanded to explore the intersection of learning and reasoning, particularly using machine learning to enhance solver efficiency and leveraging solvers to improve the trustworthiness, security, and robustness of AI systems.
Dr. Ganesh has received over 30 awards, honors, and medals for his research, including an ACM Impact Paper Award at ISSTA 2019, an ACM Test of Time Award at CCS 2016, and a Ten-Year Most Influential Paper citation at DATE 2008.
Research Interests
- SAT/SMT solvers and higher-order provers, Software engineering, Formal methods, Automated testing, Program analysis, Computer security, Mathematical logic, Foundations of mathematics
Scholarly Research
Boolean SAT/SMT solvers and first-order provers, Formal methods, Automated testing, Computer security, Program analysis, Mathematical logic, Foundations of mathematics, Software engineering
Industrial Research
I own a computer security consulting company called VG Security Inc. Through my consulting company I advise many Waterloo startups. The most successful company that I have advised to-date is Quantstamp Inc., a blockchain smart contract security company.
Education
- 2007, Doctorate Computer Science, Stanford University, USA
- 2000, Master's Electrical Engineering, Stanford University, USA
Awards
- 2018 Dr. Ganesh has won over 25 awards, distinctions, and medals for his research. You can read more about them here:
- https://vganesh1.github.io/
Teaching*
- ECE 208 - Discrete Mathematics and Logic 2
- Taught in 2020, 2021, 2022
- ECE 650 - Methods and Tools for Software Engineering
- Taught in 2021, 2022
- ECE 653 - Software Testing, Quality Assurance and Maintenance
- Taught in 2020, 2021
- ECE 750 - Special Topics in Computer Software
- Taught in 2021
* Only courses taught in the past 5 years are displayed.
Graduate studies
- Currently considering applications from graduate students. A completed online application is required for admission; start the application process now.