Shahryar Rahnamayan

Dr. Shahryar Rahnamayan

BSc, MSc, PhD (Waterloo), PEng, SMIEEE

Department Chair and Associate Professor

Director of Nature Inspired Computational Intelligence (NICI) Lab

General Information

  • Associate Professor (tenured)
  • Department of Electrical, Computer, and Software Engineering
  • University of Ontario Institute of Technology (UOIT), Oshawa, Canada
  • Director of Nature Inspired Computational Intelligence (NICI) Lab

Summary of Achievements


  • Massachusetts Institute of Technology (MIT) Professional Education Certificate in Tackling the Challenges of Big Data
  • Postdoctoral Fellow, Simon Fraser University, Canada
  • Nominated to PhD Alumni Gold Medal, University of Waterloo, Canada
  • CIHR Strategic Training Fellow, Robarts Research Institute, Canada
  • First Class Honour in M.Sc. Degree, Software Engineering
  • First Class Honour in B.Sc. Degree, Software Engineering
  • Ranked in top 1% in Nationwide M.Sc. Entrance exam
  • First Place in Mathematics in the Technical Institutes National Competition
  • First Place in Physics in the Institutional Competition


  • Received the UOIT Research Excellence Award, UOIT, 2017.
  • Pioneered a well-accepted successful branch in Optimization, called Opposition-based Computation
  • IP holder in a spin-off company established by University of Waterloo (FDA approval has been obtained), 2007
  • Received more than 35 Honors and Awards, including, NSERC-DG, NSERC-UNENE, MRI-OCIF, NSERC-JSPS, NSERC-IPS, NSERC-IRDF, NSERC-VF, OGS (twice), CIHR (two years), OGSST (twice), FedDev, UOIT-AIA, UoW-GIS, OCE-IDF


  • Nominated for the UOIT Teaching Excellence Award, 2013
  • Developed and taught ten new courses
  • Teaching quality is assessed OUTSTANDING based on the Dean's evaluation
  • Received many excellent positive comments from students
  • Published two conference papers in a conference in engineering education
  • Developing two teaching-related software systems (Students' Academic Performance Monitoring System and Class Scheduling and Visualization System, both as capstone projects)
  • Active member of American Society for Engineering Education (ASEE) and Canadian Engineering Education Association (CEEA)


  • Tenure-track faculty positions secured by four previous PhD students
  • Two times the first place (2013 and 2014) and one time the second place (2012) awards in the annual capstone competitions
  • Faculty first place award in annual university-wide research showcase, 2010


  • Grant Reviewer: NSERC-DG, NSERC-I2I, MITACS Accelerate Research, NSERC Strategic Grant
  • Paper Reviewer: more than 35 international journals and more than 25 international conferences
  • Member of Technical Program Committee: more than 30 conferences

Research Interests

  • Optimization
  • Machine Learning
  • Tackling the Challenges of Big Data: Visualization, Processing, and Analytic
  • Opposition-Based Computation
  • Large-scale Optimization
  • Artificial Intelligence
  • Interactive Optimization
  • Multi-Objective, Non-Convex, Nonlinear, and Complex Optimization with its real-world applications
  • Parallel Processing
  • Simulation of Discrete and Continuous Systems
  • Nature-Inspired Problem Solving
  • Medical Image Processing and Computer Vision