Khodakaram Salimifard

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)

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)

Research activities

Journal articles

1	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
2	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
4	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
5	, 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
6	, 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
7	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
8	Sara Saadatmand, Khodakaram Salimifard, Reza Mohammadi (2022) Analysis of non-pharmaceutical interventions impacts on COVID-19 pandemic in Iran NONLINEAR DYNAMICS: 2022; 1-14
9	, Khodakaram Salimifard (2021) A simulation–optimization approach for measuring emergency department resilience in times of crisis OPERATIONS RESEARCH FOR HEALTH CARE: 31; 100326
10	Mohamed Abd Elaziz, Davood Mohammadi, Diego Oliva, Khodakaram Salimifard (2021) Quantum marine predators algorithm for addressing multilevel image segmentation APPLIED SOFT COMPUTING: 76; 107598-...
11	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-...
12	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
13	Khodakaram Salimifard, (2020) A Network-Based Solution for the Fair Student-to-School Allocation International Journal of Management and Decision Making: ; ،
14	, Khodakaram Salimifard, , (2020) Multi-objective volleyball premier league algorithm KNOWLEDGE-BASED SYSTEMS: ; ،
15	Khodakaram Salimifard, (2020) The multicommodity network flow problem: state of the art classification, applications, and solution methods Operational Research: ; 1،47
16	, Khodakaram Salimifard, , (2020) The green vehicle routing problem: A systematic literature review JOURNAL OF CLEANER PRODUCTION: ; 1،19
17	, Khodakaram Salimifard (2018) Volleyball Premier League Algorithm APPLIED SOFT COMPUTING: ; 161،185
18	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
19	Hamid Shahbandarzadeh, Khodakaram Salimifard, (2013) Application of Monte Carlo simulation in Assessment of European Call Options Iranian Journal of Management Studies: ; 7،25
20	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

1	— (2021) Policymaking in Crisis Management of the Coronavirus Epidemic in Iran: Using a Dynamic Chaos-Based Approach دانشگاه خلیج فارس
2	— (2021) Policymaking in Crisis Management of the Coronavirus Epidemic in Iran: Using a Dynamic Chaos-Based Approach دانشگاه خلیج فارس
3	— (2015) Title Not Found دانشگاه خلیج فارس

Theses

1	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
2	— (2023) Analysis of factors affecting human error in nuclear power plants with the aim of reducing human error
3	— (2023) Investigating the impacts of coronavirus epidemic on production and employment in companies in Bushehr industrial zone and proposing solutions to reduce the negative consequences
4	— (2023) Formulation of equipment health prediction and management model (PHM) and its analysis for sample equipment (SGT600 and SGT10B gas turbines)
5	— (2023) Evaluation of the level of awareness, information and social acceptance of Bushehr nuclear power plant: a combined survey-dynamic approach
6	— (2022) Applying a Mixture of Discrete Event Simulation and Data Mining in Investigating hospital Laboratory Performance
7	, Khodakaram Salimifard, Thierry Chaussalet, Amir H. Gandomi (2022) Patient Flow Improvement in Treatment Process Considering Carbon Footprint Decrease Using Simulation and Meta-Heuristics
8	— (2021) A Dynamics Approach based on Chaos Theory for Crisis Forecasting in Epidemics Outbreak
9	, Khodakaram Salimifard, , (2021) Optimizing Green Vehicle Routing Problem with a Metaheuristic Algorithm
10	— (2020) Scheduling Staff Training Courses Using Particle Swarm Optimization Algorithm
11	— (2019)
12	— (2019)
13	— (2019)
14	— (2018)
15	— (2017)
16	— (2016)
17	— (2016)
18	— (2016)
19	— (2016)
20	— (2016)
21	— (2015)
22	— (2015)
23	— (2015)
24	— (2015)
25	— (2014)
26	— (2014)
27	— (2014)
28	— (2014)
29	— (2014)
30	— (2014)
31	— (2014)
32	— (2013)
33	— (2012)

Books

1	, 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
2	, Khodakaram Salimifard, Thierry Chaussalet (2021) Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis ISBN: 978-3-030-45222-3
3	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!

.row3_default .researchActivities .researchTypeContent { opacity: 1; position: static; height: initial; } .row3_default .researchActivities .researchActivitiesWrapper .researchTypeTitle { visibility: visible; font-family: Arial; font-size: 1.3rem; transition: background-color .5s, color .5s; display: block; float: left; color: rgb(102, 102, 102); background-color: rgb(255, 255, 255); direction: ltr; text-align: left; padding: .5% 2%; cursor: pointer; border-radius: 5%; margin-top: 1%; } .row3_default .researchActivities .researchTypeContent table .Gv-Empty{ text-align: left; direction: ltr; }

Courses

Bachelor Of Science

1	Operations Research 3
2	Operations Research 1
3	System Analysis and Design

Master Of Science

1	Metaheuristic Algorithms & Artificial Intelligence
2	Principles of Queueing Theory & Simulation
3	Dynamic Systems

PhD

1	Stochastic Processes
2	Applications of Artificial Intelligence & Metaheuristic Algorithms in Management
3	Data Mining
4	System Dynamics

.row3_default .coursesList .courseAcademicLevelContent { opacity: 1; position: static; height: initial; } .row3_default .coursesList .courseWrapper .courseAcademicLevelTitle { visibility: visible; font-family: Arial; font-size: 1.3rem; transition: background-color .5s, color .5s; display: block; float: left; color: rgb(102, 102, 102); background-color: rgb(255, 255, 255); direction: ltr; text-align: left; padding: .5% 2%; cursor: pointer; border-radius: 5%; margin-top: 1%; }

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