Associate Professor and Co-Director, Waterloo Artificial Intelligence Institute (Waterloo.ai)

Contact InformationVijay Ganesh

Phone: 519-888-4567 x32866
Location: DC 2530

Website

Biography Summary

Dr. Vijay Ganesh is an associate professor at the University of Waterloo's Electrical and Computer Engineering department, with a cross-appointment at the David R. Cheriton School of Computer Science. He is also the Co-Director of the Waterloo Artificial Intelligence Institute (Waterloo.ai). Prior to joining Waterloo in 2012, he was a research scientist at MIT (2007-2012) and completed his PhD in computer science from Stanford University in 2007.

Dr. Ganesh's primary area of research is the theory and practice of automated reasoning aimed at software engineering, formal methods, security, and mathematics. In this context he has led the development of many SAT/SMT solvers, most notably, STP, the Z3 string solver, MapleSAT, and MathCheck. He has also proved several decidability and complexity results in the context of first-order theories.

Dr. Ganesh has won over 25 research awards, best paper awards, distinctions, and medals for his research to-date. He recently won an ACM Test of Time Award at CCS 2016, the Early Researcher Award (ERA) given by the Ontario Government in 2016, Outstanding Paper Award at ACSAC 2016, an IBM Research Faculty Award in 2015, two Google Research Faculty Awards in 2013 and 2011, a Ten-Year Most Influential paper citation at DATE 2008, and 10 best paper awards/honors of different kinds at conferences like CAV, IJCAI, CADE, ISSTA, SAT, SPLC, and CCS. His solvers STP and MapleSAT have won numerous awards at the highly competitive international SMT and SAT solver competitions.

Research Interests

  • SAT/SMT solvers and higher-order provers
  • Software engineering
  • Formal methods
  • Automated testing
  • Program analysis
  • Computer security
  • Mathematical logic
  • Foundations of mathematics

Education

  • 2007, Doctorate, Computer Science, Stanford University
  • 2000, Master's, Electrical Engineering, Stanford University

Courses*

  • ECE 208 - Discrete Mathematics and Logic 2
    • Taught in 2019, 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