• Dr. Shahryar Rahnamayan holds a PhD in Systems Design Engineering from the University of Waterloo, earned in 2007, along with BSc and MSc degrees in Software Engineering. With over 22 years of research experience across institutions like the University of Waterloo, Robarts Research Institute (University of Western Ontario), Michigan State University, Simon Fraser University, and Ontario Tech University, he has authored more than 250 publications in machine learning, optimization, and medical image processing, garnering over 10,700 citations.
• Currently, Dr. Rahnamayan serves as a Full Professor and Chair of the Engineering Department at Brock University, where he also directs the Nature Inspired Computational Intelligence (NICI) Lab. He has almost five years of department chair experience, has supervised or co-supervised 75 highly qualified personnel (HQPs), and has developed and taught 14 graduate and undergraduate courses. He pioneered a new direction in optimization and machine learning, called Opposition-based Computation, which has become the foundation for more than 800 published papers.
• Additionally, he has comprehensive experience in developing undergraduate and graduate programs and in engineering accreditation. His distinguished career has earned him more than 45 honors, including awards for research and teaching excellence, and recognition as one of the top 2% of AI researchers worldwide from 2020 to 2024.

• PDF, Mechatronic Systems Engineering (Simon Fraser University)
• PhD, Systems Design Engineering (University of Waterloo)
• MSc, Software Engineering
• BSc, Software Engineering

Summary — Refereed Journal Publications: 65, Refereed Conference Publications: 145, Books: 2, Book Chapters: 7, Citations: 8330, h-index: 37, i10-index: 92

A. Bidgoli, S. Rahnamayan, T. Dehkharghanian, A. Riasatian and H. R. Tizhoosh, “Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images,” in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2022.3178299.

Seydgar, S. Rahnamayan, P. Ghamisi, A.A. Bidgoli, “Deep Probabilistic Framework for Semi-Supervised Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, March 2022 [in press].

Hanan Hiba, Shahryar Rahnamayan, Azam Asilian Bidgoli, Amin Ibrahim, Rasa khosroshahli, A comprehensive investigation on novel center-based sampling for large-scale global optimization, Swarm and Evolutionary Computation, Vol. 73, 2022.

Amr Salem, Hussien Hegab, Shahryar Rahnamayan, Hossam A. Kishawy, Multi-objective optimization and innovization-based knowledge discovery of sustainable machining process, Journal of Manufacturing Systems, 2022, ISSN 0278-6125, https://doi.org/10.1016/j.jmsy.2022.04.013.

Asilian Bidgoli, A., Rahnamayan, S., Erdem, B. et al. Machine learning-based framework to cover optimal Pareto-front in many-objective optimization. Complex Intell. Syst. (2022). https://doi.org/10.1007/s40747-022-00759-w

Taher Dehkharghanian, Shahryar Rahnamayan, Abtin Riasatian, Azam A. Bidgoli, Shivam Kalra, Manit Zaveri, Morteza Babaie, Mahjabin S. Seyed Sajadi, Ricardo Gonzalelz, Phedias Diamandis, Liron Pantanowitz, Tao Huang, Hamid R. Tizhoosh, Selection, Visualization, and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma, The American Journal of Pathology, Volume 191, Issue 12, 2021, Pages 2172-2183, ISSN 0002-9440, https://doi.org/10.1016/j.ajpath.2021.08.013.

Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan, Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection, Information Sciences, Volume 547, 2021, Pages 1-17, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2020.08.004.

Hegab, A. Salem, S. Rahnamayan, H.A. Kishawy, Analysis, modeling, and multi-objective optimization of machining Inconel 718 with nano-additives based minimum quantity coolant, Applied Soft Computing, Vol. 108, 2021, 107416, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2021.107416.

Nasrolahzadeh, J. Haddadnia, S. Rahnamayan, “Multi-objective Optimization of Wavelet packet- based Features in Pathological Diagnosis of Alzheimer Using Spontaneous Speech Signals,” IEEE Access, in IEEE Access, Vol. 8, pp. 112393-112406, 2020.

Rahnamayan, S.; Mahdavi, S.; Deb, K.; Asilian Bidgoli, A. Ranking Multi-Metric Scientific Achievements Using a Concept of Pareto Optimality. Mathematics 2020, 8, 956. https://doi.org/10.3390/math8060956

Rahnamayan, S. Mahdavi, A. Mahdavi, “Majority Voting for Discrete Population-based Optimization Algorithms,” Soft Computing, Sept. 2018, pp 1-18.

Gandomi, K. Deb, R.C. Averill, S. Rahnamayan, N. Omidvar, “Using Semi-independent Variables to Enhance Optimization Search,” Expert Systems With Applications, Sept. 2018, pp. 279-297.

Rahnamayan, H. R. Tizhoosh and M. M. A. Salama, “Opposition-Based Differential Evolution,” in IEEE Transactions on Evolutionary Computation, vol. 12, no. 1, pp. 64-79, Feb. 2008, doi: 10.1109/TEVC.2007.894200.

PDF: 11, PhD: 19, MSc: 28, Research Associates: 5

A. Undergraduate Level Courses

Machine Learning and Data Mining

Introduction to Artificial Intelligence

Design and Analysis of Algorithms

Data Structures

C++ Programming for Engineers

Software Design II

Engineering Design

Computer and Software Security

Software Engineering Systems Design I and II

B. Graduate Level Courses

Advanced Optimization

Parallel Computation

Data Visualization

Graduate seminars

C. Graduate Level Courses (directed studies)

Digital Image Processing

Soft Computing

Applications of Optimization in Machine Learning and Data Analytic

• University of Waterloo (Waterloo, Canada)
• Michigan State University (East Lansing, USA)
• BEACON Center (East Lansing, USA)
• Robarts Research Institute (London, Canada)
• Simon Fraser University (Vancouver, Canada)
• Toronto Metropolitan University (Toronto, Canada)
• Ontario Tech University (Oshawa, Canada)

• Ranked in top 2% of World-wide AI Researchers (2020 and 2021)
• Member of NSERC-DG Evaluation Group (2021-2024)
• Received FEAS (UOIT) Excellence in Teaching Award (2018)
• Received University Research Excellence Award (2017)
• Received certificate in Tackling the Challenges of Big Data, Massachusetts Institute of Technology (MIT).
• 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
• Received IEEE Toronto Technology Award, Smartnora Inc., 2019.
• Grant Reviewer: NSERC-DG, BEACON Grant, NSERC-I2I, MITACS Accelerate Research, NSERC Strategic Grant
• Paper Reviewer: 35 international journals and 25 international conferences
• Member of Technical Program Committee: 30 international conferences
• Received more than 45 Honors, Awards, and Grants, including: ORF, NSERC-DG, NSERC-UNENE, OCE-VIP, MRI-OCIF, NSERCJSPS, NSERC-IPS, NSERC-IRDF, NSERC-VF, OGS, CIHR, OGSST, FedDev, UOIT-AIA, UoW-GIS, OCE-IDF.