Nima Moradi
Scholar

Nima Moradi

Google Scholar ID: tgohKcgAAAAJ
PhD candidate, Information Systems Engineering, Concordia University
Operations ResearchMetaheuristicsCombinatorial Optimization
Citations & Impact
All-time
Citations
293
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Reviewer at Croatian Operational Research Review (CRORR), International Journal of Production Research (IJPR), Environmental Science and Pollution Research (ESPR), International Journal of the Analytic Hierarchy Process (IJAHP), Advances in Science, Technology and Engineering Systems Journal (ASTESJ), International Journal of Research in Industrial Engineering (IJRIE), and Journal of Applied Research on Industrial Engineering (JARIE). Editorial Board member of Development and Entrepreneurship Journal, Sharif University of Technology.
Research Experience
  • 2023-present: Research Assistant, Concordia Institute for Information Systems Engineering, Concordia University; 2020-22: Graduate Research Assistant, Smart Mobility & Logistics Lab, Sabanci University; 2022 Fall to 2021 Winter: Teaching Assistant for several courses at Sabanci University; 2016-2019: Graduate Research Assistant, Sharif University of Technology; 2017-2019: Research Assistant, Entrepreneurship Center of Sharif University of Technology; Also taught applications of GAMS software at Sharif University of Technology and Simulation by ED software at Iran University of Science and Technology.
Education
  • Currently a Ph.D. candidate at the Concordia Institute for Information Systems Engineering under the supervision of Prof. Fereshteh Mafakheri & Prof. Chun Wang. Before that, finished his second M.Sc., first M.Sc., and B.Sc. in Industrial Engineering at Sabanci University (Istanbul, Turkey), Sharif University of Technology, and Iran University of Science and Technology (Tehran, Iran) respectively.
Background
  • Interested in developing Exact and Heuristic/Metaheuristic methods for solving 'Hard' combinatorial optimization problems that arise in application areas of Operations Research, such as Last-mile Delivery, Logistics, Vehicle Routing, and Performance Evaluation. Primary skills include coding various problems and metaheuristics in C++ and Python language programming and finding efficient solvers for optimization problems.
Miscellany
  • Personal interests not explicitly mentioned.