Mr. Mohammad Alipour-Vaezi, Virginia Polytechnic Institute and State University, United States
Mr. Mohammad Alipour-Vaezi is pursuing a Ph.D. in Industrial & Systems Engineering with a focus on Operations Research at Virginia Tech, USA. He holds an M.Sc. in Systems Optimization from the University of Tehran and a B.Sc. in Industrial Safety from Shahid Beheshti University of Medical Sciences. His research spans data-driven optimization, healthcare excellence, and supply chain management. He has industry experience as the CEO of ELSA Group and internships in healthcare systems. Notable accolades include a patent for an automatic guitar tuner and recognition as an elite student researcher at UT. 🎓🔬
Publication profile
Google Scholar
Educational Background
Mr. Mohammad Alipour-Vaezi is currently pursuing his Ph.D. in Industrial & Systems Engineering at Virginia Tech, with a concentration in Operations Research, under the supervision of Prof. Kwok L. Tsui. He earned his M.Sc. in Industrial Engineering-Systems Optimization from the University of Tehran, where he graduated with a GPA of 3.82 and completed a thesis on disruption management using data mining in the insurance industry. His academic journey began with a B.Sc. in Industrial Safety from Shahid Beheshti University of Medical Sciences, where he worked on improving hospital processes. 📊✨
Teaching Experience
Mr. Mohammad Alipour-Vaezi has significant teaching experience as a Graduate Teaching Assistant at Virginia Tech and the University of Tehran. At Virginia Tech, he assisted in the Manufacturing Process Lab in Fall 2023 and supported the Introduction to ISE course in Spring 2023 and 2024 under Prof. M. Earnest. Previously, at Shahid Beheshti University of Medical Sciences, he served as an Instructor for Deterministic Operations Research in Fall 2022. He also worked as a Graduate Teaching Assistant for Scheduling Theory, Queuing Systems, and Design of Industrial Systems at the University of Tehran from Fall 2020 to Spring 2022. 🎓✏️
Industry Experience
Mr. Mohammad Alipour-Vaezi brings valuable industry experience as the CEO of ELSA Group in Tehran, where he led international trading operations from September 2019 to August 2021. His practical insights were further enriched during his internships at Loghman Hakim Hospital. From April to August 2019, he focused on reviewing and modifying the Health, Safety, and Environment (HSE) system, ensuring compliance and safety standards. Earlier, from July to October 2018, he investigated and enhanced the hospital’s structural processes, contributing to operational efficiency. This blend of leadership and hands-on experience underscores his strong foundation in industrial engineering. 🔍📈
Honors & Awards
Mr. Mohammad Alipour-Vaezi has received notable recognition for his academic and creative achievements. In 2022, he was a candidate for the Elite Student Researcher award at the University of Tehran, showcasing his commitment to research excellence. He ranked 27th in Iran’s nationwide university entrance exam for his M.Sc. in 2019. His innovative spirit was highlighted when he became a finalist in the Khwarizmi Youth Awards in both 2013 and 2014, for his contributions to Persian classic literature and mechatronics, respectively. Notably, he holds a patent for his invention, the Automatic Guitar Tuner. 🎓🎶
Research Experience
Mr. Mohammad Alipour-Vaezi has extensive research experience as a Graduate Research Assistant at Virginia Tech, focusing on Data-Driven Optimization in Prof. K.L. Tsui’s lab since May 2023 and Healthcare Excellence in Dr. H. Zhong’s lab. Prior to this, he contributed to multiple projects at the University of Tehran, where he worked from September 2020 to January 2023. His research there included Supply Chain Management and Healthcare Systems under Prof. R. Tavakkoli-Moghaddam, Data-Driven Queuing Systems with Prof. F. Jolai, and Data-Driven Coordination Contracts in Prof. M. Rabbani’s lab. 📊💡
Conclusion 🏆
Mr. Mohammad Alipour-Vaezi’s diverse academic background, strong research focus in operations research, healthcare systems, and optimization, coupled with teaching experience and practical industry contributions, make him a strong candidate for the Best Researcher Award. His achievements and research impact, particularly in supply chain management and healthcare systems, align well with the award’s criteria for innovation and academic excellence.
Publication Top Notes
- Prioritizing and queueing the emergency departments’ patients using a novel data-driven decision-making methodology, a real case study – 44 citations (2022) 🏥
- Prioritizing post-disaster reconstruction projects using an integrated multi-criteria decision-making approach: A case study – 42 citations (2022) 🏗️
- Introducing a novel revenue-sharing contract in media supply chain management using data mining and multi-criteria decision-making methods – 28 citations (2022) 📈
- An M/M/C/K queueing system in an inventory routing problem considering congestion and response time for post-disaster humanitarian relief: a case study – 26 citations (2022) 🚚
- Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniques – 16 citations (2024) 🌍
- Scheduling the COVID-19 vaccine distribution based on data-driven decision-making methods – 16 citations (2021) 💉
- A new methodology for COVID-19 preparedness centers based on a location-allocation platform – 13 citations (2020) 🏥
- A new application of coordination contracts for supplier selection in a cloud environment – 11 citations (2020) ☁️
- A diagnostic analytics model for managing post-disaster symptoms of depression and anxiety among students using a novel data-driven optimization approach – 9 citations (2023) 📊
- Optimization of a television advertisement scheduling problem by multi-criteria decision making and dispatching rules – 9 citations (2022) 📺