Toronto Metropolitan University - Canada
AUTHOR PROFILE
EDUCATION
Erfan Shahab is currently pursuing a Ph.D. in Industrial Engineering at Toronto Metropolitan University, focusing on Quantum Machine Learning and Optimization under the supervision of Sharareh Taghipour, the Canada Research Chair and Director of the RRMR Lab. He holds an M.Sc. in Industrial Engineering from Sharif University of Technology, where his thesis explored Resilient Cloud Networks. He earned his B.Sc. in Industrial Engineering from Khaje Nasir Toosi University.
RESEARCH INTERESTS AND PUBLICATIONS
Erfan Shahab’s research interests encompass optimization, supply chain management, and data analysis. His notable publications include “Designing a Resilient Cloud Network Fulfilled by Reinforcement Learning” in Expert Systems with Applications, and “A Production Bounce-Back Approach in the Cloud Manufacturing Network: A Case Study of COVID-19 Pandemic” in the International Journal of Management Science and Engineering Management. His work on service composition models and resilient cloud supply networks has been presented at the 6th International Conference on Industrial and Systems Engineering.
HONORS AND AWARDS
Erfan Shahab has received National Scholarships for both his M.Sc. and B.Sc. degrees, ranking 4th and in the top 1% respectively in nationwide university entrance exams. His expertise has been recognized through his role as a reviewer for high-impact journals such as Expert Systems With Applications and Engineering Applications of AI.
WORK EXPERIENCE
Alongside his academic pursuits, Erfan Shahab has extensive experience as a teacher, writer, and editor of math books from 2013 to 2024. His teaching and editorial skills have complemented his technical expertise in optimization and data analysis.
TECHNICAL SKILLS
Erfan Shahab is proficient in optimization, supply chain management, data analysis, and Python programming. His technical acumen is further evidenced by his published research and contributions to high-impact journals.
LANGUAGE PROFICIENCY
Erfan Shahab is fluent in English, having achieved an overall score of 7.5 on the IELTS exam. His language proficiency supports his research, publication, and teaching activities in the field of industrial engineering.
NOTABLE PUBLICATION
A production bounce-back approach in the Cloud manufacturing network: case study of COVID-19 pandemic
Designing a resilient cloud network fulfilled by reinforcement learning
A novel service composition model considering the role of resilience in cloud supply networks