Reza sheikh | Decision Sciences | Best Researcher Award

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Assoc. Prof. Dr. Reza sheikh | Decision Sciences | Best Researcher Award

Assoc. Prof. Dr. Reza sheikh, shahrooduniversity of technology, Iran

Assoc. Prof. Dr. Reza Sheikh is a distinguished academic in Production and Operations Management at the Shahrood University of Technology, Iran. With over two decades of teaching and administrative experience, he has served in key leadership roles, including Vice President and Dean of Faculty. He is a prolific author and researcher with expertise in axiomatic design, decision modeling, and quality systems. His work has significantly contributed to the advancement of industrial engineering education and research in Iran. Dr. Sheikh is recognized for his dedication to academic excellence, innovative research, and institutional development in higher education. 📘🧠

Publication Profile

Scopus

Google Scholar

📚 Education

Dr. Reza Sheikh earned his Ph.D. in Industrial Engineering from Tehran University in 2006, focusing on lean production systems using axiomatic design. He holds a Master’s degree in Industrial Engineering from Tarbiat Modares University (1998), where he explored fuzzy logic applications in network analysis. His academic journey began with a Bachelor’s degree in Industrial Engineering from Shahid Beheshti University, Tehran (1996). Throughout his education, Dr. Sheikh developed a solid foundation in decision-making techniques, systems analysis, and optimization, which have shaped his research and teaching philosophy. His academic background supports his multifaceted contributions to industrial management. 🎓📈🛠️

💼 Experience

Since 1999, Dr. Sheikh has been a faculty member at Shahrood University of Technology, contributing as a professor, dean, and vice president. He played pivotal roles in various administrative positions including Director of Monitoring & Evaluation, Vice President of Science & Technology Park, and Incubator Centers Manager. His leadership extended to managing academic productivity and overseeing finance and administration at the university. His roles across research, education management, and university governance have shaped institutional policies and promoted academic excellence. His service reflects a deep commitment to strategic planning, quality assurance, and innovation in higher education. 🏛️📊🧑‍🏫

🏅 Awards and Honors

Dr. Reza Sheikh has been consistently recognized for his contributions to education and research. He received the Distinguished Professor of the Year in Research Award (2015) and was honored multiple times (2010, 2011, 2013, 2015, and 2019) for his excellence in teaching at the Faculty of Industrial Engineering and Management, Shahrood University of Technology. These honors underscore his commitment to advancing knowledge and fostering innovation in the fields of production and operations management. His dedication has significantly impacted faculty development, student learning, and the university’s academic reputation. 🥇📜🏆

🔬 Research Focus

Dr. Sheikh’s research spans Production and Operations Management, Multi-Criteria and Multi-Objective Decision Making (MCDM & MODM), Axiomatic Design, and Statistical Analysis. He specializes in developing mathematical models for lean production scheduling, integrating decision-making tools like TRIZ, rough set theory, and fuzzy logic. His studies also explore service quality, ethics in academia, institutional meritocracy, and faculty performance systems. His work contributes both theoretical and applied insights, addressing organizational efficiency and quality improvement. His scholarly output includes numerous journal articles, research projects, and books that influence academic and industrial practices alike. 📊⚙️📚

Publication Top Notes

📘 Base-criterion on Multi-Criteria Decision-Making Method and Its Applications – 🔢 Cited by: 134 – 📅 2020
📘 The Impact of Digital Marketing Strategies on Customer’s Buying Behavior in Online Shopping Using the Rough Set Theory – 🔢 80 – 📅 2022
📘 Grey SERVQUAL Method to Measure Consumers’ Attitudes Towards Green Products – 🔢 72 – 📅 2018
📘 A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM) – 🔢 69 – 📅 2021
📘 Evaluation and Selecting the Contractor in Bidding with Incomplete Information Using MCGDM Method – 🔢 49 – 📅 2019
📘 Base Criterion Method (BCM) – 🔢 43 – 📅 2022
📘 Ranking Financial Institutions Based on Trust in Online Banking Using ARAS and ANP Method – 🔢 43 – 📅 2013
📘 Assessing the Agility of Hospitals in Disaster Management Using Fuzzy Flowsort – 🔢 39 – 📅 2021
📘 Assessing Hospital Preparedness for Disasters Using Rough Set Theory (COVID-19) – 🔢 36 – 📅 2022
📘 Self-Assessment of Parallel Network Systems with Intuitionistic Fuzzy Data – 🔢 31 – 📅 2019
📘 Extension of Base-Criterion Method Based on Fuzzy Set Theory – 🔢 27 – 📅 2020
📘 Project Portfolio Selection with Interactions under Uncertainty (Hesitant Fuzzy Set) – 🔢 26 – 📅 2018
📘 Analysis and Classification of Companies on Tehran Stock Exchange with Incomplete Information – 🔢 18 – 📅 2021
📘 Proximity/Remoteness Measurement for Customer Classification – 🔢 17 – 📅 2022
📘 Extension of Best–Worst Method Based on Spherical Fuzzy Sets – 🔢 16 – 📅 2024
📘 Product Portfolio Optimisation Using Teaching–Learning-Based Optimisation Algorithm – 🔢 16 – 📅 2016

Johannes Tshepison Tsoku | Decision Sciences |Best Researcher Award

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 Prof. Johannes Tshepison Tsoku | Decision Sciences |Best Researcher Award

Associate Professor & Programme Leader,  Facuty of Economic Science and Management, North West University, South Africa.

Associate Professor Johannes Tshepiso Tsoku is an accomplished statistician dedicated to enhancing knowledge through rigorous research. Currently pursuing a PhD in Statistics at North West University, he has a strong academic foundation, including a Master’s and an Honours degree with Distinction. With extensive experience in teaching and leadership roles, he has significantly contributed to departmental operations and student mentorship. His involvement in various research committees and receipt of a grant for the African International Conference highlight his commitment to ethical research practices and professional development. Tsoku’s contributions position him as a leading candidate for the Research for Best Researcher Award.

Publication Profile :

Scopus

Academic Qualifications :

Tsoku’s academic journey is commendable, with a strong focus on statistics. He is currently pursuing a Doctor of Philosophy in Statistics at North West University, emphasizing statistical arbitrage strategies. His previous qualifications include a Master of Commerce, an Honours Bachelor of Commerce with Distinction, and a Bachelor’s in Commerce, all specializing in Statistics. Such a robust academic foundation demonstrates his dedication to continuous learning and research excellence, underscoring his potential for impactful contributions to the field.

Work Experience :

With a diverse range of roles at North West University, Tsoku has cultivated significant leadership experience. As a Programme Leader and Associate Professor, he oversees departmental operations, coordinates research activities, and engages in teaching and mentorship. His role in organizing meetings, preparing reports, and supervising research underscores his commitment to fostering a supportive academic environment. Additionally, his tenure as a Senior Lecturer and various instructional roles showcases his ability to inspire and educate the next generation of statisticians, further amplifying his impact in academia.

Research Contributions And Achievements :

Tsoku’s research endeavors have led to notable contributions within the academic community. His membership in various committees, including the Faculty of Economic and Management Sciences Research Ethics Committee, highlights his engagement with ethical research practices. His participation in the South African Statistical Association and the Scientific Committee for the School of Economic Sciences demonstrates his active involvement in advancing statistical science. Furthermore, his research grant award to attend the African International Conference in 2018 signifies recognition of his potential and dedication to furthering his expertise.

Awards And Honors : 

Associate Professor Johannes Tshepiso Tsoku has received several prestigious awards and honors throughout his academic career. Notably, he earned a Certificate of Academic Excellence for achieving his Honours Bachelor of Commerce in Statistics with Distinction, underscoring his commitment to academic excellence. Additionally, his research contributions have been recognized through a research grant awarded in 2018, enabling him to attend the African International Conference (AiC) in Botswana. His active participation in various committees, including the South African Statistical Association, further reflects his dedication to advancing the field of statistics and promoting ethical research practices.

Conclusion :

Associate Professor Johannes Tshepiso Tsoku exemplifies the qualities and accomplishments sought in the Research for Best Researcher Award. His professional expertise in statistics, rigorous academic background, extensive work experience, and active research contributions collectively position him as a leader in his field. Tsoku’s commitment to fostering collaboration and advancing knowledge ensures that his work will have a lasting impact on society and the academic community. His recognition through this award would not only honor his achievements but also inspire further advancements in research and education within the discipline.

Publication Top Notes

  • Hybrid time series and ANN-based ELM model on JSE/FTSE closing stock prices – Moseane, O., Tsoku, J.T., Metsileng, D. (2024) 📝
  • Modelling External Debt Using VECM and GARCH Models – Mokoena, N.B., Tsoku, J.T., Chanza, M. (2022) 📊
  • Influence of some sociodemographic factors on causes of death among South African youth – Mogale, B.V., Tsoku, J.T., Munapo, E., Ewemooje, O.S. (2020) 📚
  • The application of the Multivariate GARCH models on the BRICS exchange rates – Metsileng, L.D., Moroke, N.D., Tsoku, J.T. (2020) 🌍
  • Modelling the oil price volatility and macroeconomic variables in South Africa using the symmetric and asymmetric GARCH models – Sekati, B.N.Y., Tsoku, J.T., Metsileng, L.D. (2020) ⛽ | Cited by: 6
  • Economic growth and agricultural production in South Africa: An empirical study of causality and error correction mechanisms – Moroke, N.D., Tsoku, J.T., Seaketso, P.G. (2014) 🌱