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Prof Dr. Nasser Shahsavari-Pour | Engineering | Best Researcher Award

Project Scheduling at Vali-e-Asr university, Rafsanjan, Iran

Dr. Nasser Shahsavari-Pour is a prominent Industrial Engineering professor at Vali-e-Asr University in Rafsanjan, Iran. With a Ph.D. from Sharif University of Technology, he specializes in optimization, fuzzy systems, and multi-objective decision-making. Over his academic career, he has made significant contributions to the field through extensive research and numerous publications in esteemed journals. Recognized as a top researcher at both his university and in Kerman province, Dr. Shahsavari-Pour has garnered respect for his commitment to advancing industrial engineering education and practice. He serves on the editorial boards of various international journals and actively participates in professional organizations, including the System Dynamics Society. His passion for teaching and mentoring has inspired many students and emerging engineers. Dr. Shahsavari-Pour continues to be an influential figure in industrial engineering, advocating for innovative research that bridges the gap between theory and practical application.

Professional Profile

Education

Dr. Nasser Shahsavari-Pour earned his Ph.D. in Industrial Engineering from Sharif University of Technology, one of Iran’s premier institutions. His doctoral research focused on the applications of optimization techniques in industrial settings, emphasizing the integration of fuzzy logic and genetic algorithms to solve complex engineering problems. This rigorous academic training laid the foundation for his expertise in project scheduling and decision-making processes. Dr. Shahsavari-Pour also holds a Master’s degree in Industrial Engineering, where he honed his skills in operations research and simulation modeling. His education encompassed a blend of theoretical knowledge and practical experience, enabling him to approach real-world challenges effectively. Throughout his studies, he was mentored by leading experts, which inspired his commitment to academic excellence and innovative research. This strong educational background equips him to teach advanced industrial engineering concepts and guide students in their research endeavors, further enhancing the academic environment at Vali-e-Asr University.

Professional Experience

Dr. Nasser Shahsavari-Pour has extensive experience in academia as a professor of Industrial Engineering at Vali-e-Asr University. Over the years, he has developed and taught various undergraduate and graduate courses, emphasizing optimization, project management, and industrial systems analysis. His role extends beyond teaching; he actively supervises graduate students in their research projects, fostering a collaborative academic environment. Dr. Shahsavari-Pour has participated in several research projects funded by national organizations, contributing his expertise to enhance industrial efficiency. He has also served as a reviewer for numerous high-impact journals, including “Applied Soft Computing” and “Journal of Intelligent and Fuzzy Systems,” where he assesses cutting-edge research in industrial engineering. In addition to his academic responsibilities, he is involved in organizing conferences and workshops, promoting knowledge exchange among professionals in the field. His comprehensive experience positions him as a leader in industrial engineering education and research, significantly impacting his students and peers.

Research Interest

Dr. Nasser Shahsavari-Pour’s research interests encompass a wide range of topics within industrial engineering, with a particular focus on optimization, fuzzy systems, and multi-objective decision-making. His work explores innovative solutions for complex industrial problems, applying advanced techniques such as genetic algorithms and hybrid meta-heuristic algorithms to optimize project scheduling and resource allocation. He is especially interested in the time-cost-quality trade-offs in uncertain project environments, aiming to improve decision-making processes in industrial settings. Furthermore, Dr. Shahsavari-Pour investigates the application of fuzzy logic in optimization, seeking to enhance the robustness of solutions to real-world engineering challenges. His research also extends to simulation modeling, where he analyzes the performance of industrial systems. Through his work, he aims to bridge the gap between theoretical advancements and practical applications in industrial engineering, contributing to the field’s development and offering valuable insights for practitioners and researchers alike.

Award and Honor

Dr. Nasser Shahsavari-Pour has received multiple awards throughout his academic career, underscoring his dedication to research and education in industrial engineering. He has been recognized as a Top Researcher at the Faculty of Management and Economics at Vali-e-Asr University in 2013, 2018, and 2019, acknowledging his significant contributions to his field. In 2019, he was honored as the Top Researcher in Kerman province, highlighting his impact beyond his university. His most notable achievement came in 2022 when he was named the Top Researcher at Vali-e-Asr University, reinforcing his status as a leading figure in industrial engineering research. Additionally, Dr. Shahsavari-Pour has received accolades for his editorial work in various international journals and for his involvement in professional organizations. These awards reflect his commitment to excellence in academia and his contributions to advancing industrial engineering practices, making him a respected figure in both local and international academic communities.

Conclusion

Dr. Nasser Shahsavari-Pour appears to be a strong candidate for the Best Researcher Award due to his extensive publication record, recognition as a top researcher, and active participation in professional organizations. His significant contributions to the field of industrial engineering and his commitment to research excellence are commendable. However, addressing areas for improvement, such as fostering collaboration and increasing public engagement, could enhance his impact even further. Overall, with his accomplishments and potential for growth, he is well-suited for this prestigious award.

Publication top noted

  • Shahsavari-Pour, N., Heydari, A., Fekih, A., Asadi, H.
    A Novel Pareto-Optimal Algorithm for Flow Shop Scheduling Problem
    Mathematics, 2024, 12(18), 2951

    • Citations: 0
  • Shahsavari-Pour, N., Bahador, S., Heydari, A., Fekih, A.
    Water Shortage Simulation Using a System Dynamics Approach: A Case Study of the Rafsanjan City
    Sustainability (Switzerland), 2023, 15(7), 6225

    • Citations: 2
  • Shahsavari-Pour, N., Rahimi-Ashjerdi, S., Heydari, A., Fekih, A.
    A System Dynamics Approach to Optimize Milk Production in an Industrial Ranch
    Applied Sciences (Switzerland), 2023, 13(3), 1662

    • Citations: 1
  • Heydari, A., Nezhad, M.M., Keynia, F., … Shahsavari-Pour, N., Garcia, D.A., Piras, G.
    A combined multi-objective intelligent optimization approach considering techno-economic and reliability factors for hybrid-renewable microgrid systems
    Journal of Cleaner Production, 2023, 383, 135249

    • Citations: 35
  • Peiman, F., Khalilzadeh, M., Shahsavari-Pour, N., Ravanshadnia, M.
    Estimation of building project completion duration using a natural gradient boosting ensemble model and legal and institutional variables
    Engineering, Construction and Architectural Management, 2023

    • Citations: 1
  • Shahsavari-Pour, N., Darabi, L., Zaer-Miri, S.
    Analysis of the employment status of Iranian public universities graduates and the governmental policy using system dynamics approach
    Simulation, 2023, 99(1), pp. 89–109

    • Citations: 3
  • Shahsavari-Pour, N., Bahador, S., Heydari, A., Fekih, A.
    Analyzing Tehran’s Air Pollution Using System Dynamics Approach
    Sustainability (Switzerland), 2022, 14(3), 1181

    • Citations: 1
  • Mashizi, I.K., Kermani, V.M., Shahsavari-Pour, N.
    Flexible open-shop problem for minimizing weighted total completion time
    Journal of Intelligent and Fuzzy Systems, 2022, 42(3), pp. 1353–1366

    • Citations: 0
  • Fattahi, R., Tavakkoli-Moghaddam, R., Khalilzadeh, M., Shahsavari-Pour, N., Soltani, R.
    A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment
    Journal of Enterprise Information Management, 2020, 33(5), pp. 881–904

    • Citations: 36
  • Hosseinzadeh, F., Paryzad, B., Pour, N.S., Najafi, E.
    Fuzzy combinatorial optimization in four-dimensional tradeoff problem of cost-time-quality-risk in one dimension and in the second dimension of risk context in ambiguous mode
    Engineering Computations (Swansea, Wales), 2020, 37(6), pp. 1967–1991

    • Citations: 10
Nasser Shahsavari-Pour | Engineering | Best Researcher Award

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