Shahryar Rahnamayan

Dr. Shahryar Rahnamayan

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

Department Chair and Associate Professor

Director of Nature Inspired Computational Intelligence (NICI) Lab

Selected Research Grants

NSERC Discovery Grant - NSERC (2015 - 2020)

  • Purpose: Research, Travel, and Publications
  • Name of agency: Natural Sciences and Engineering Research Council of Canada (NSERC)
  • Title of project or award: Efficient Evolutionary Algorithms for Many-objective Optimization
  • Total amount of award: $140,000
  • All investigators: Shahryar Rahnamayan (PI)

NSERC’s Supplement to the Discovery Grant - NSERC (2011 - 2015)

  • Purpose: Research, Travel, and Publications
  • Name of agency: Natural Sciences and Engineering Research Council of Canada (NSERC)
  • Title of project or award: Opposition-Based Evolutionary Algorithms: Towards Solving High-Dimensional Optimization Problems Efficiently
  • Total amount of award: $20,000
  • All investigators: Shahryar Rahnamayan (PI)

Applied Research and Commercialization Initiative Fund - FedDev Ontario (2011 - 2012)

  • Purpose: Research and Publications
  • Name of agency: Federal Economic Development Agency for Southern Ontario (FedDev Ontario)
  • Title of project or award: Fast Registration for Atlas-Based MRI Image Segmentation
  • Total amount of award: $130,000
  • All investigators: Shahryar Rahnamayan (PI)

NSERC Discovery Grant - NSERC (2010 - 2015)

  • Purpose: Research, Travel, and Publications
  • Name of agency: Natural Sciences and Engineering Research Council of Canada (NSERC)
  • Title of project or award: Opposition-Based Evolutionary Algorithms: Towards Solving High-Dimensional Optimization Problems Efficiently
  • Total amount of award: $100,000
  • All investigators: Shahryar Rahnamayan (PI)

Ontario Commercialization Investment Funds (OCIF) - MRI (2009 - 2012)

  • Purpose: Research, Equipments, Travel, and Publications
  • Name of agency: Ontario Ministry of Research and Innovation (MRI)
  • Title of project or award: An Intelligent Medical Image Segmentation Tool
  • Total amount of award: $750,000
  • All investigotors: Hamid R. Tizhoosh (PI), Shahryar Rahnamayan, Farhang Sahba, Maryam Shokri
  • Project Description: The software, MISASS , is an intelligent medical image segmentation tool that learns and improves its automated ability through clinician training and use. Over a short period of time, interpretation by Segasist approaches the accuracy of its human clinician-operator. Inventors: MISASS has been introduced in Scientific Assembly and Annual Meeting, Radiological Society of North America (RSNA-2009, 2010, 2011, and 2012). The mentioned software will play a crucial rule in early diagnosis of breast cancer. We hope to take a remarkable step in Canadian medical imaging (Auto-Contouring of Multiple Regions in Medical Images: Segasist’s Fast Multi-Contouring. It is currently in the FDA testing.

Innovation Demonstration Fund - OCE (Oct. 2007)

  • Purpose: Supporting Commercialization of an Intelligent Software for Medical Image Analysis (Start-up Company OMISA Inc.)
  • Name of agency: Ontario Centres of Excellence (OCE)
  • Title of project or award: An Intelligent Software for Medical Image Analysis
  • Total amount of award: $25,000
  • All investigotors: Hamid R. Tizhoosh (PI) and Shahryar Rahnamayan