July 14, 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, Human Resource Analytics

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
  • MSc. in Industrial Management - Operations Research , Tarbiat Modaress , Iran (1989 - 1992)
    Thesis title: Application of Queueuing Theory and Simulation in Improving the Performance of the Port of Bushehr
  • BSc. in Industrial Management , Shiraz , Iran (1984 - 1988)
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Research interests

  • Computational Intelligence & Data Mining
  • Metaheuristic Algorithms, Intelligent Optimization, Simulation
  • OR in Healthcare, Logistics and Transportation, Oil & Gas, Public Sector, and Energy
  • Vehicle Routing Problem
  • Human Resource Analytics
  • Intelligent optimization in oil, gas and energy
  • Simulation (ABS, DES, SD)
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Research activities

Journal articles
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Ramin Pabarja, Gholamreza Jamali, Khodakaram Salimifard, Ahmad Ghorbanpour (2024) Analysis of the LARG of the Hospital Medical Equipment Supply Chain Using the Fuzzy Inference System international journal of research in industrial engineering: 13; 116-151
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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
3
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
Research of this type not found!
Projects
Theses
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Samira Dehdar, Khodakaram Salimifard, Thierry Chaussalet, Reza Mohammadi (2024) Predicting the diagnosis and advance knowledge of recurrence and metastasis of breast cancer using artificial intelligence
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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: Operations Research
    Thesis: A Dynamics Approach based on Chaos Theory for Crisis Forecasting in Epidemics Outbreak
  • Name: Reza Moghdani
    Degree: PhD.
    Field: Operations Research
    Thesis: Green Vehicle Routing Problem using a Metaheuristic Algorithms
  • Name: Masoumeh Vali
    Degree: PhD.
    Field: 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: Operations Research
    Thesis: Improving the Cost-Effective Performance of Pre-Implantation Embryo Selection Using Machine Learning Methods
  • Name: Samira Dehdar
    Degree: PhD.
    Field: 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: 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: Operations Research
    Thesis: Effective Scheduling of Orthopedic Surgery: Using Computer Intelligence and Machine Learning
  • Name: Faezeh Mardanian Shahri
    Degree: PhD.
    Field: Operations Research
    Thesis: Disruptions in Supply Chain
  • Name: Ailin Sadeghi Sarvestani
    Degree: PhD.
    Field: Operations Research
    Thesis: 33 / 5,000 Improving disease prognosis in the elderly
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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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Applicant Educational

  • Data Visualization (2023 )
  • Scheduling Under Uncertaint (2023 )
  • Visual Abstract (2023 )
  • Business Analytics (2023 )
  • CLTK Programming Language (2000 )
  • Simulation in Industry (2008 )
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