Amir M. Fathollahi-Fard

Amir M. Fathollahi-Fard is a highly accomplished researcher and optimization expert specializing in supply chain management, production scheduling, and logistics. With an impressive educational background and extensive professional experience, Amir has made significant contributions to the field of optimization.
Amir obtained a Bachelor's degree in Industrial Engineering from Iran University of Science and Technology of Mazandaran in 2016, followed by a Master's degree in the same field in 2018. He pursued a Ph.D. in Industrial Engineering at Amirkabir University of Technology - Tehran Polytechnic, specializing in Health/Health Care Administration/Management. His research focused on optimizing home healthcare services, resulting in numerous impactful publications.
Continuing his academic pursuits, Amir earned a Doctor of Philosophy (Ph.D.) degree from École de technologie supérieure, focusing on optimization models and algorithms for real-world sustainability and energy-saving systems. His academic excellence is reflected in his achievements, including publishing over 100 papers in reputable journals such as ANOR, ASOC, COR, CIE, JCLP, IEEE TASE and many other high-ranked journals.
Amir's professional experience includes roles such as Associate Researcher at the University of Victoria, where he contributed to the development of practical optimization models for sustainable supply chains. He also served as an Advisory Algorithms Developer at Kinaxis, focusing on efficient heuristics for production scheduling problems. Recognized as a prominent optimization researcher, Amir was appointed as a Visiting Researcher (Associate Professor) at Universiti Teknologi Malaysia. In this role, he applied advanced optimization techniques to solve complex problems in supply chains, transportation, and routing. Currently, Amir holds the position of Postdoctoral Researcher at Université du Québec à Montréal, where he contributes to the development of efficient heuristics for freight transportation and logistics network design problems.
Amir M. Fathollahi-Fard's exceptional academic background, extensive publication record, and diverse professional experience position him as a leading researcher in the field of optimization. He continues to drive innovation and make significant contributions to solving real-world optimization challenges.

Dr. Amir M. Fathollahi-Fard possesses a diverse and accomplished professional background, demonstrating expertise in various fields of academia and industry. He engaged in real-world optimization projects, focusing on transportation and assignment decisions during his tenure at the University of Science & Technology of Mazandaran from 2012 to 2014. As a dedicated educator, Dr. Fathollahi-Fard served as a Teaching Assistant, imparting knowledge in Mathematics, Statistics, Operations Research (Linear and Non-linear Programming), and Production Management from 2012 to 2016. His practical acumen in supply chain management flourished as he assumed the role of Supply Chain Manager at Mazinoor, Babol, Iran, from 2014 to 2015. Concurrently, he continued his contributions to academia as a Teaching Assistant in Optimization Algorithms at the University of Science & Technology of Mazandaran until 2017. Building upon his managerial experience, Dr. Fathollahi-Fard excelled as a Production Manager at Solar Soya Mazandaran, Amol, Iran, from 2015 to 2017. In 2018, he extended his academic prowess to lecture on Supply Chain and Logistics at Amirkabir University of Technology and further expanded his teaching repertoire at Aletaha University, covering Simulation Algorithms, Production Scheduling, and Multi-Criteria Decision-Making from 2019 to 2020. With a keen interest in research, Dr. Fathollahi-Fard served as a Research Assistant at École de Technologie Supérieure, Montréal, from 2020 to 2021. His dedication to advancing knowledge continued as a Postdoctoral Researcher at Peter B. Gustavson School of Business, University of Victoria, from 2022 to 2023, and as a Visiting Associate Professor (Prominent Visiting Researcher) at Universiti Teknologi Malaysia since 2022. Notably, his contribution to the industry expanded as a Contributing Algorithm Developer for Production Scheduling Problems at Kinaxis Company, Ontario, starting in 2023. Simultaneously, he continued his research pursuits as a Postdoctoral Researcher at School of Management, Université du Québec à Montréal, and CIRRELT, further enhancing his academic standing. Dr. Amir M. Fathollahi-Fard's unique blend of academic, managerial, and research experiences showcases his exceptional skills in optimization, production scheduling, supply chain management, and algorithm development, making him a valuable asset to any academic or industrial institution seeking expertise in these domains.

Dr. Amir M. Fathollahi-Fard's academic journey has been marked by unwavering dedication and outstanding achievements, showcasing his expertise in the fields of operations research, optimization, and sustainable supply chain management. He began his quest for knowledge with a Bachelor's degree from the University of Science & Technology of Mazandaran, Iran, from 2012 to 2016, where his thesis on "Red deer algorithm for a sustainable closed-loop supply chain network design problem" demonstrated his early interest in tackling complex sustainability challenges. Building on this foundation, he pursued a Master's degree at the same institution from 2016 to 2018, delving into the "Developing a lower bound and a set of heuristics for novel mathematical models in home health care problem," revealing his aptitude for developing mathematical solutions in the realm of healthcare. These experiences laid the groundwork for his Ph.D. endeavors, where Dr. Fathollahi-Fard's passion for innovative research flourished. At Amirkabir University of Technology, Tehran, Iran (2018-2021), he explored the "Optimization of home health care with continuity of care, satisfaction, and sustainability," emphasizing his dedication to enhancing health care systems while ensuring patient satisfaction and sustainability. Subsequently, at École de Technologie Supérieure, Montréal, Canada (2020-2023), his Ph.D. thesis on "Smart and sustainable flow-shop scheduling problems: Robust optimization and strong heuristics" demonstrated his expertise in addressing intricate scheduling challenges through the application of robust optimization and powerful heuristics. Driven by a commitment to making a positive impact, Dr. Amir M. Fathollahi-Fard's academic journey underscores his exceptional skills in optimization, sustainable supply chain management, and healthcare systems, positioning him as an accomplished and valuable contributor to the academic and industrial spheres.