Mr. Hossein Ghanbari | Energy and Sustainability | Best Researcher Award
Mr. Hossein Ghanbari | Energy and Sustainability | Industrial Engineering | Iran University of Science and Technology | Iran
Mr. Hossein Ghanbari is a researcher at the School of Industrial Engineering, Iran University of Science and Technology, with expertise in operations research, optimization, uncertainty modeling, multi-criteria decision-making, and simulation. His scholarly contributions span across finance, healthcare, and industrial applications, with a particular focus on portfolio optimization, risk management, and algorithmic trading strategies. He has published impactful works on topics such as artificial intelligence in telemedicine, global commodity market effects, bibliometric analyses of financial risk measures, and cryptocurrency portfolio allocation. His research is characterized by an interdisciplinary approach, integrating advanced analytical methods with practical applications, and has gained recognition through citations, collaborations, and contributions to international journals. Mr. Hossein Ghanbari work reflects both academic rigor and applied relevance, positioning him as an emerging scholar with strong potential for long-term impact in operations research and decision sciences.
Professional Profile
Education
Mr. Hossein Ghanbari has pursued his academic journey in the field of Industrial Engineering, with a specialization in operations research, optimization, and decision sciences. He is affiliated with the School of Industrial Engineering at the Iran University of Science and Technology, where he has strengthened his expertise in analytical modeling, uncertainty management, and multi-criteria decision-making. His educational background has provided him with a solid foundation in both theoretical and applied aspects of optimization and simulation, enabling him to conduct interdisciplinary research in finance, healthcare, and sustainability-related fields. This strong academic preparation has shaped his research orientation toward solving complex real-world problems through innovative and systematic approaches.
Professional Experience
Mr. Hossein Ghanbari is affiliated with the School of Industrial Engineering at Iran University of Science and Technology, where he contributes to teaching, research, and academic development in the fields of operations research, optimization, and decision sciences. His professional experience reflects a strong focus on portfolio optimization, risk management, and uncertainty modeling, with applications spanning finance, healthcare, and industrial systems. He has collaborated with national and international researchers on projects involving artificial intelligence in telemedicine, financial market analysis, and algorithmic trading strategies, showcasing his ability to integrate theory with real-world problem-solving. Through his publications in reputable journals and active participation in research networks, Mr. Hossein Ghanbari has established himself as an emerging scholar dedicated to advancing knowledge in operations research and applied optimization.
Research Interest
Mr. Hossein Ghanbari’s research interests lie at the intersection of operations research, optimization, and decision sciences, with a strong emphasis on tackling uncertainty in complex systems. He is particularly focused on portfolio optimization, financial risk management, and algorithmic trading strategies, exploring innovative approaches such as robust optimization, simulation techniques, and artificial intelligence applications. His work also extends to multi-criteria decision-making, bibliometric and scientometric analyses, and the modeling of global financial and commodity markets, including cryptocurrencies, oil, and gold. By combining theoretical models with practical applications, he aims to develop decision-support tools that can improve efficiency, reduce risk, and enhance strategic planning in both financial and industrial systems, while also contributing to cross-disciplinary areas such as healthcare and supply chain management.
Award and Honor
At present, there is no publicly available record of specific awards or honors received by Mr. Hossein Ghanbari. However, his growing body of impactful research, collaborations with international scholars, and publications in reputable journals demonstrate a trajectory of academic recognition and professional achievement. His works on portfolio optimization, financial risk management, and artificial intelligence applications have been cited by peers, reflecting the scholarly value of his contributions. With his active engagement in interdisciplinary research and increasing visibility within the academic community, Mr. Hossein Ghanbari is well-positioned to earn significant awards and honors in the future, recognizing his dedication to advancing knowledge in operations research and decision sciences.
Publications Top Noted
Integrating artificial intelligence into telemedicine: revolutionizing healthcare delivery
Year : 2023 | Citations: 37
Bibliometric analysis of risk measures for portfolio optimization
Year : 2023 | Citations: 17
Investigating the effect of US dollar, gold and oil prices on the stock market
Year : 2022 | Citations: 15
Analyzing the effects of global oil, gold and palladium markets: Evidence from the Nasdaq composite index
Year : 2022 | Citations: 14
Exploring the Evolution of Robust Portfolio Optimization: A Scientometric Analysis
Year: 2024 | Citations: 10
A bibliometric analysis on supply chain disruptions: Current status, development, and future directions
Year: 2025 |Citations: 5
Cryptocurrency portfolio allocation under credibilistic CVaR criterion and practical constraints
Year: 2024 | Citations: 5
Behavioral Finance Biases: A Comprehensive Review on Regret Approach Studies in Portfolio Optimization
Year: 2024 | Citations: 4
Conclusion
Mr. Hossein Ghanbari research contributions position him as a promising and impactful candidate for the Best Researcher Award. His strengths in optimization, decision-making, and financial modeling, combined with interdisciplinary applications and growing recognition, make him well-suited for this honor. With continued expansion into broader applications and further strengthening of his long-term research impact, he has the potential to become a highly influential scholar in both academia and practice.