Soheyl Khalilpourazari

About Soheyl Khalilpourazari

Soheyl Khalilpourazari, With an exceptional h-index of 27 and a recent h-index of 26 (since 2020), a distinguished researcher at Concordia University, specializes in the field of Mathematical Programming, Stochastic Programming, Healthcare Optimization, Machine Learning, Deep Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Stochastic weekly operating room planning with an exponential number of scenarios

Robust modelling and prediction of the COVID-19 pandemic in Canada

A flexible robust model for blood supply chain network design problem

Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec

Designing emergency flood evacuation plans using robust optimization and artificial intelligence

Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic

Using reinforcement learning to forecast the spread of COVID-19 in France

Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence

Soheyl Khalilpourazari Information

University

Position

; CIRRELT

Citations(all)

1821

Citations(since 2020)

1710

Cited By

810

hIndex(all)

27

hIndex(since 2020)

26

i10Index(all)

30

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Soheyl Khalilpourazari Skills & Research Interests

Mathematical Programming

Stochastic Programming

Healthcare Optimization

Machine Learning

Deep Reinforcement Learning

Top articles of Soheyl Khalilpourazari

Title

Journal

Author(s)

Publication Date

Stochastic weekly operating room planning with an exponential number of scenarios

Annals of Operations Research

Hossein Hashemi Doulabi

Soheyl Khalilpourazari

2023

Robust modelling and prediction of the COVID-19 pandemic in Canada

International Journal of Production Research

Soheyl Khalilpourazari

Hossein Hashemi Doulabi

2023/12/17

A flexible robust model for blood supply chain network design problem

Annals of operations research

Soheyl Khalilpourazari

Hossein Hashemi Doulabi

2023

Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec

Annals of Operations Research

Soheyl Khalilpourazari

Hossein Hashemi Doulabi

2022

Designing emergency flood evacuation plans using robust optimization and artificial intelligence

Journal of Combinatorial Optimization

Soheyl Khalilpourazari

Seyed Hamid Reza Pasandideh

2021/4

Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic

Expert Systems with Applications

Soheyl Khalilpourazari

Hossein Hashemi Doulabi

Aybike Özyüksel Çiftçioğlu

Gerhard-Wilhelm Weber

2021/9/1

Using reinforcement learning to forecast the spread of COVID-19 in France

Soheyl Khalilpourazari

Hossein Hashemi Doulabi

2021/8/11

Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence

Journal of Intelligent Manufacturing

Soheyl Khalilpourazari

Saman Khalilpourazary

Aybike Özyüksel Çiftçioğlu

Gerhard-Wilhelm Weber

2021/8

A robust fuzzy approach for constrained multi-product economic production quantity with imperfect items and rework process

Optimization

Soheyl Khalilpourazari

Abolfazl Mirzazadeh

Gerhard-Wilhelm Weber

Seyed Hamid Reza Pasandideh

2020

Optimization of time, cost and surface roughness in grinding process using a robust multi-objective dragonfly algorithm

Neural Computing and Applications

Soheyl Khalilpourazari

Saman Khalilpourazary

2020

Multi-objective optimization of multi-item EOQ model with partial backordering and defective batches and stochastic constraints using MOWCA and MOGWO

Operational Research

Soheyl Khalilpourazari

Seyed Hamid Reza Pasandideh

2020/9

Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study

Annals of Operations Research

Soheyl Khalilpourazari

Shima Soltanzadeh

Gerhard-Wilhelm Weber

Sankar Kumar Roy

2020/5/30

Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems

Soft Computing

Soheyl Khalilpourazari

Bahman Naderi

Saman Khalilpourazary

2020/2

Sine–cosine crow search algorithm: theory and applications

Neural Computing and Applications

Soheyl Khalilpourazari

Seyed Hamid Reza Pasandideh

2020

See List of Professors in Soheyl Khalilpourazari University(Concordia University)

Co-Authors

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