Dr. Erfan Shahab | Risk Management | Best Researcher Award

Dr. Erfan Shahab | Risk Management | Best Researcher Award

Toronto Metropolitan University, Canada

๐Ÿ”— Professional Profiles

๐ŸŒ Summary:

Erfan Shahab is a dedicated Industrial Engineer with a strong focus on quantum machine learning and optimization. With a robust academic background and professional experience in teaching, writing, and editing math books, Erfan brings a unique blend of technical skills and practical knowledge to his field.

๐ŸŽ“ Education:

  • Ph.D. in Industrial Engineering ๐ŸŽ“
    Toronto Metropolitan University (2024)
  • Thesis: Quantum Machine Learning and Optimization
  • Supervisor: Sharareh Taghipour (Canada Research Chair – Director of the RRMR Lab)
  • M.Sc. in Industrial Engineering ๐ŸŽ“
    Sharif University of Technology (2018-2020)
  • Thesis: Resilient Cloud Networks
  • B.Sc. in Industrial Engineering ๐ŸŽ“
    Khaje Nasir Toosi University (2013-2017)
  • Honors: National Scholarship for B.Sc., Ranked top 1% in nationwide university entrance

Professional Experience

  • Teacher, Writer & Editor of Math Books ๐Ÿ“
    Freelance (2013-2024)

Research Interests

  • Quantum Machine Learning ๐Ÿง 
  • Optimization Techniques โš™๏ธ
  • Resilient Cloud Networks โ˜๏ธ
  • Supply Chain Management ๐Ÿ”—

Skills

  • Technical Skills: Optimization, Supply Chain Management, Data Analysis, Python ๐Ÿ
  • Languages: English (IELTS โ€“ Overall: 7.5) ๐Ÿ‡ฌ๐Ÿ‡ง

 

Publication Top Noted

Designing a resilient cloud network fulfilled by reinforcement learning

  • Authors: Erfan Shahab, Mohsen Taleb, Fatemeh Gholian-Jouybari, Mostafa Hajiaghaei Keshteli
  • Journal: Expert Systems with Applications
  • Year: 2024-06
  • DOI: 10.1016/j.eswa.2024.124606

ย A production bounce-back approach in the Cloud manufacturing network: case study of COVID-19 pandemic

  • Authors: Erfan Shahab, Amirhossein Kazemisaboor, Sharif Khaleghparast, Omid Fatahi Valilai
  • Journal: International Journal of Management Science and Engineering Management
  • Volume: (To be updated as not provided)
  • ISSN: 1750-9653, 1750-9661

A novel service composition model considering the role of resilience in cloud supply networks

  • Authors: Erfan Shahab, Sharif Khaleghparast, Omid Fatahi Valilai
  • Journal: (To be updated as not provided)
  • Year: 2020
  • DOI: 10.13140/RG.2.2.15595.57126