March 29, 2024
Khodakaram Salimifard

Khodakaram Salimifard

Academic Rank: Associate professor
Address: Industrial Management Department, Business & Economics School, Persian Gulf University, Bushehr 75169
Degree: Ph.D in Operations Research
Phone: 07731222118
Faculty: School of Business and Economics

Introduction

Associate Professor in Operations Research, Metaheuristic Algorithms, Intelligent Optimization, Computational Intelligence, VRP, Simulation, Petri nets

Education

  • PhD. in Management Science / Operations Research , Lancaster University , England (1998 - 2003)
    Thesis title: Modelling and Performance Analysis of Workflow Management Systems using Timed Hierarchical Coloured Petri Nets
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Research interests

  • Computational Intelligence
  • Metaheuristic Algorithms and Intelligent Optimization
  • OR in Healthcare
  • Vehicle Routing Problem
  • Intelligent optimization in oil, gas and energy
  • Simulation (ABS, DES, SD)
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Research activities

Journal articles
1
Mostafa Dianati-Nasab, Khodakaram Salimifard, Reza Mohammadi, Sara Saadatmand, Mohammad Fararouei, Kosar S. Hosseini, Thierry Chaussalet, Samira Dehdar, Behshid Jiavid-Sharifi (2024) Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study Frontiers in Oncology: 13; 1276232
2
Samira Dehdar, Khodakaram Salimifard, Reza Mohammadi, Maryam Marzban, Sara Saadatmand, Mohammad Fararouei, Mostafa Dianati-Nasab (2023) Applications of different machine learning approaches in prediction of breast cancer diagnosis delay Frontiers in Oncology: 13; 1-10
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Sara Saadatmand, Khodakaram Salimifard, Reza Mohammadi, Alex Kuiper, Maryam Marzban, Akram Farhadi (2022) Using machine learning in prediction of ICU admission, mortality, and length of stay in the early stage of admission of COVID-19 patients ANNALS OF OPERATIONS RESEARCH: 2022; 1-29
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, Khodakaram Salimifard, Amir H. Gandomi, Thierry Chaussalet (2022) Application of Job Shop Scheduling Approach in Green Patient Flow Optimization using a Hybrid Swarm Intelligence COMPUTERS & INDUSTRIAL ENGINEERING: 2022; 108603
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, Khodakaram Salimifard, Amir H. Gandomi, Thierry Chaussalet (2022) Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining ANNALS OF OPERATIONS RESEARCH: 2022; 708-737
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Sara Saadatmand, Khodakaram Salimifard, Reza Mohammadi, Maryam Marzban, Ahmad Naghibzadeh-Tahami (2022) Predicting the necessity of oxygen therapy in the early stage of COVID-19 using machine learning MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING: 60; 1-12
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Sara Saadatmand, Khodakaram Salimifard, Reza Mohammadi (2022) Analysis of non-pharmaceutical interventions impacts on COVID-19 pandemic in Iran NONLINEAR DYNAMICS: 2022; 1-14
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, Khodakaram Salimifard (2021) A simulation–optimization approach for measuring emergency department resilience in times of crisis OPERATIONS RESEARCH FOR HEALTH CARE: 31; 100326
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Mohamed Abd Elaziz, Davood Mohammadi, Diego Oliva, Khodakaram Salimifard (2021) Quantum marine predators algorithm for addressing multilevel image segmentation APPLIED SOFT COMPUTING: 76; 107598-...
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Mohammad Qaleh Shakhany, Khodakaram Salimifard (2021) Predicting the Dynamical Behavior of COVID-19 Epidemic and the Effect of Control Strategies Chaos, Solitons and Fractals: X: 8; 110823-...
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Khodakaram Salimifard, Jingpeng Li, Davood Mohammadi, (2020) A multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobs APPLIED INTELLIGENCE: 2020; 1-19
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Khodakaram Salimifard, (2020) A Network-Based Solution for the Fair Student-to-School Allocation International Journal of Management and Decision Making: ; ،
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, Khodakaram Salimifard, , (2020) Multi-objective volleyball premier league algorithm KNOWLEDGE-BASED SYSTEMS: ; ،
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, Khodakaram Salimifard, , (2020) The green vehicle routing problem: A systematic literature review JOURNAL OF CLEANER PRODUCTION: ; 1،19
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, Khodakaram Salimifard (2018) Volleyball Premier League Algorithm APPLIED SOFT COMPUTING: ; 161،185
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Khodakaram Salimifard, (2014) A green routing problem: optimising CO2 emissions and costs from a bi-fuel vehicle fleet International Journal of Advanced Operations Management: ; 27،57
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Hamid Shahbandarzadeh, Khodakaram Salimifard, (2013) Application of Monte Carlo simulation in Assessment of European Call Options Iranian Journal of Management Studies: ; 7،25
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Seyed Yaghoub Hosseini, Khodakaram Salimifard, Shahrbanoo Yadollahi (2012) On the Effects of Organizational Culture on E-Learning Readiness: An Iranian Experience International Journal of Social Ecology and Sustainable Development: ; 42،52
Conference articles
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Projects
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Books
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, Khodakaram Salimifard, Amir H. Gandomi, Thierry Chaussalet (2022) Chaotic-SCA Salp Swarm Algorithm Enhanced with Opposition Based Learning: Application to Decrease Carbon Footprint in Patient Flow ISBN: 978-3-031-07511-7
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, Khodakaram Salimifard, Thierry Chaussalet (2021) Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis ISBN: 978-3-030-45222-3
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Seyed Yaghoub Hosseini, Khodakaram Salimifard, Shahrbanoo Yadollahi (2014) E-Learning Readiness and the Effects of Organizational Culture ISBN: 9781466646117
Innovations
Research of this type not found!
Grant Attraction
Research of this type not found!

Courses

Students

  • Name: Mohammad Qaleh Shakhani
    Degree: PhD.
    Field: Industrial Management (Operations Research)
    Thesis: A Dynamics Approach based on Chaos Theory for Crisis Forecasting in Epidemics Outbreak
  • Name: Reza Moghdani
    Degree: PhD.
    Field: Industrial Management (Operations Research)
    Thesis: Green Vehicle Routing Problem using a Metaheuristic Algorithms
  • Name: Masoumeh Vali
    Degree: PhD.
    Field: Industrial Management (Operations Research)
    Thesis: Patient Flow Improvement in Treatment Process Considering Carbon Footprint Decrease Using Simulation and Meta-Heuristics
  • Name: Faezeh Homayounzadeh Baei
    Degree: PhD.
    Field: Industrial Management (Operations Research)
    Thesis: Improving the Cost-Effective Performance of Pre-Implantation Embryo Selection Using Machine Learning Methods
  • Name: Samira Dehdar
    Degree: PhD.
    Field: Industrial Management (Operations Research)
    Thesis: Improving the effectiveness of predicting the diagnosis and prognosis of breast cancer recurrence and metastasis using artificial intelligence
  • Name: Sara Saadatmand
    Degree: PhD.
    Field: Industrial Management (Operations Research)
    Thesis: A data-driven approach and machine learning in the effective management of hospital resources to deal with the COVID-19 pandemic
  • Name: Senobar Kheradmand Igder
    Degree: PhD.
    Field: Industrial Management (Operations Research)
    Thesis: Effective Scheduling of Orthopedic Surgery: Using Computer Intelligence and Machine Learning
  • Name: Faezeh Mardanian Shahri
    Degree: PhD.
    Field: Industrial Management (Operations Research)
    Thesis:
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Executive activities

  • Director of Educational Planning and Development (2021 - 2021)
  • Director of Graduate Studies (2016 - 2021)
  • Associate Professor of Operations Research (2013 - present)
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