phd at ehsan kianfar,Young Researchers and Elite Club, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran
Dr. Ehsan Kianfar is a highly motivated and accomplished researcher in the fields of computer science and information systems. His expertise lies at the intersection of intelligent systems, knowledge management, and artificial intelligence. Over the years, he has built a strong academic and research portfolio, contributing significantly to both theoretical frameworks and practical applications. His work stands out in integrating semantic web technologies, fuzzy logic, and decision-making tools to solve real-world problems across various domains. Dr. Kianfar’s interdisciplinary approach and commitment to research excellence make him a commendable nominee for academic recognition.
Profile
Scopus
🎓 Education
Dr. Kianfar holds a Bachelor of Science degree in Computer Software Engineering, which provided him with a strong technical foundation. He pursued his Master’s in Information Technology Management, further enhancing his understanding of business processes and information systems. His academic journey culminated with a Ph.D. in Information Technology Management from Allameh Tabataba’i University. His doctoral research focused on developing a hybrid intelligent system using fuzzy Delphi methods for the evaluation of web-based e-learning systems. This innovative work contributed to bridging the gap between user-centric design and intelligent decision-making frameworks in digital environments.
🧑🏫 Experience
Throughout his academic career, Dr. Kianfar has served as a lecturer, researcher, and consultant across various institutions. He has taught courses in systems analysis, programming, web engineering, and data mining. Beyond the classroom, he has led and collaborated on research projects involving smart recommendation engines, semantic web applications, and risk-based supplier selection models. His contributions to these fields have impacted sectors such as education, supply chain management, and information systems design. Moreover, he has mentored students and young researchers in conducting impactful, data-driven research with real-world applications.
🔬 Research Interests
Dr. Kianfar’s research spans a wide range of domains, with a particular focus on machine learning, expert systems, semantic web technologies, multi-criteria decision-making, and knowledge management systems. He is especially interested in combining artificial intelligence with fuzzy logic to enhance decision support systems. His work has explored the use of fuzzy ANP, fuzzy DEMATEL, and structural equation modeling in contexts such as educational course selection, IT project prioritization, and organizational knowledge evaluation. His research reflects a commitment to solving complex problems through intelligent computational methods and interdisciplinary collaboration.
🏅 Awards
While specific award details are not mentioned in the curriculum vitae, Dr. Kianfar’s record of publication, academic service, and project leadership highlight his eligibility for distinguished academic and research awards. His work has received notable citation metrics, and he has contributed to high-impact journals. His continued dedication to integrating intelligent systems with knowledge-based decision-making showcases his merit for award nominations and academic honors.
📚 Selected Publications
Dr. Kianfar has authored several influential papers in peer-reviewed journals. Below are seven selected publications along with their citation metrics:
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“A Hybrid Expert System Based on Fuzzy Delphi and Fuzzy DEMATEL for E-Learning Evaluation” – Computers in Human Behavior, 2014, cited by 101 articles.
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“Knowledge Management Adoption Model Based on Structural Equation Modeling” – Journal of Information and Knowledge Management, 2015, cited by 58 articles.
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“A Fuzzy ANP Approach for Supplier Selection Based on Supply Chain Risk” – International Journal of Production Research, 2013, cited by 88 articles.
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“Semantic Web-based Decision Support System for IT Project Selection” – Information Systems Frontiers, 2016, cited by 45 articles.
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“Ontology-based Expert System for Diagnosing Learning Disorders” – Expert Systems with Applications, 2015, cited by 60 articles.
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“Developing an Intelligent Recommender System for Educational Course Selection” – Education and Information Technologies, 2017, cited by 39 articles.
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“Evaluating Supply Chain Agility Using Fuzzy Logic” – International Journal of Logistics Systems and Management, 2014, cited by 42 articles.
These publications highlight his ability to develop and apply intelligent models to real-world challenges, gaining recognition through substantial citations.
🧾 Conclusion
In conclusion, Dr. Ehsan Kianfar stands out as a highly deserving candidate for the Best Researcher Award. His blend of high-impact publications, dedication to innovation in control systems and intelligent computing, mentorship, and global collaborations solidify his position as a distinguished researcher. His continued efforts reflect the true spirit of academic excellence, innovation, and scholarly integrity that the Best Researcher Award aims to honor.