Faculty member at Shahrood University of Technology, Iran
Dr. Seyed Mohammad Hassan Hosseini is an accomplished academic and researcher, currently serving as an associate professor in the Industrial Engineering College at Shahrood University of Technology. With a distinguished career marked by commitment to academic excellence, he has significantly contributed to the advancement of production planning, quality engineering, and operations research within the field of industrial engineering. His academic journey began with a B.S. from the Iran University of Science and Technology in 2000, followed by an M.S. from Amirkabir University of Technology. He later obtained his Ph.D. in Industrial Engineering from Payam-e-Noor University of Tehran in 2012, reflecting a consistent pursuit of higher learning and specialized expertise.
Profile
Google Scholar
Education
Dr. Hosseini’s educational background reflects a strong foundation in engineering and applied sciences. He received his Bachelor of Science in Industrial Engineering from Iran University of Science and Technology in 2000. He went on to complete his Master’s degree at the Amirkabir University of Technology, one of Iran’s leading institutions in engineering. In 2012, he earned his Ph.D. in Industrial Engineering from Payam-e-Noor University of Tehran, specializing in production systems and decision science.
Experience
Dr. Hosseini’s career spans both industry and academia. Between 2002 and 2008, he held key roles at Iran Khodro Company (IKCO), one of the largest automotive manufacturers in the Middle East, where he worked in quality control and the Customer Relationship Management (CRM) department. Since joining Shahrood University of Technology in 2013, he has contributed significantly to both teaching and research, supervising numerous student projects and consulting on optimization-related industrial challenges.
Research Interest
His research interests are deeply rooted in the modeling and optimization of scheduling problems—particularly flow shop scheduling—production planning and control, decision-making techniques, and quality engineering. Dr. Hosseini is particularly recognized for his work in developing models that improve operational efficiency and solve complex production-related issues. He focuses on mathematical programming, soft computing, and hybrid metaheuristic approaches to address uncertainties and constraints in manufacturing systems.
Awards
Dr. Hosseini has received recognition for his impactful contributions to industrial and systems engineering. His growing influence is evidenced by numerous invitations to speak at conferences and workshops, as well as his advisory roles to manufacturing companies. His strong citation record and innovative approaches to practical problems in production and quality engineering have positioned him as a leader in his field, worthy of academic distinction and recognition.
Publications
Dr. Hosseini has authored over 60 scientific articles in internationally recognized journals. Among his most cited works are:
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“A multi-objective flow shop scheduling problem using a novel hybrid metaheuristic,” Applied Soft Computing, 2016 – cited by over 90 articles.
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“Integrated production planning and quality control with uncertain demand,” Journal of Intelligent Manufacturing, 2017 – cited by 73 articles.
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“Robust multi-objective optimization for scheduling with machine breakdowns,” Computers & Industrial Engineering, 2018 – 66 citations.
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“Fuzzy goal programming for sustainable supplier selection,” Journal of Cleaner Production, 2019 – 58 citations.
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“Application of metaheuristics in integrated production-inventory systems,” Expert Systems with Applications, 2015 – 52 citations.
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“Heuristic optimization for flow shop with setup times,” Engineering Optimization, 2014 – 49 citations.
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“A hybrid algorithm for quality-focused job scheduling,” Industrial Engineering & Management Systems, 2020 – 37 citations.
Conclusion
In conclusion, Dr. Seyed Mohammad Hassan Hosseini exemplifies the qualities of a leading academic in industrial engineering, with a track record that combines rigorous research, practical industrial experience, and dedicated teaching. His scholarly contributions, high citation record, and involvement in applied industry projects highlight his influence and leadership within the field. As a nominee for a Petroleum Engineering Award, his innovative work in optimization and quality engineering provides valuable insights into improving production systems, especially those relevant to energy and manufacturing industries. Dr. Hosseini’s achievements make him a deserving candidate for recognition, and his continued contributions promise lasting impact in engineering research and practice.