Hossein Kiani | Future of Fossil Fuels and Energy Transition | Best Researcher Award

Published on by Petroleum Engineering

Mr. Hossein Kiani | Future of Fossil Fuels and Energy Transition | Best Researcher Award

Master’s degree graduate at Amirkabir University of Technology, Iran

Hossein Kiani is a motivated and technically adept researcher specializing in power systems engineering with a primary focus on renewable energy integration, power quality, and energy systems optimization. Throughout his academic and professional journey, he has demonstrated a strong commitment to developing efficient, sustainable, and economically viable energy solutions. His technical capabilities and leadership in both research and academic settings have positioned him as a promising contributor to the global energy transition.

Profile

Orcid

Education

Kiani pursued his Master of Science in Electrical Engineering with a concentration in Power Systems at Amirkabir University of Technology (Tehran Polytechnic), Iran, from 2021 to 2024. Prior to that, he earned his Bachelor of Science degree in Electrical Engineering from Zanjan University between 2014 and 2016. His graduate studies were characterized by a deep dive into hybrid energy systems, distributed energy resource planning, and power system market analysis, further enhanced by hands-on experience in laboratory environments and participation in energy-focused conferences.

Experience

Hossein has garnered diverse academic and practical experiences in the power and energy domain. He has served as a teaching assistant for core courses such as Power Quality, Electric Power Markets, Electric Machines I, and Electrical Energy Systems I at Amirkabir University. Additionally, he manages the Power Quality Lab at the same institution, where he works under the supervision of a full professor in electrical engineering. His professional contributions extend to multiple academic conferences, where he has played a key role as a reviewer and executive committee member. These engagements have honed his critical analysis, organizational, and peer collaboration skills, reinforcing his profile as both a researcher and educator in the power systems field.

Research Interest

His primary research interests lie in the modeling, design, and optimization of hybrid renewable energy systems; stochastic scheduling in distributed energy networks; frequency control in smart grids; and market-based analysis of renewable energy participation. Kiani focuses on integrating uncertainty analysis and demand-side management strategies to enhance the reliability and efficiency of electrical and thermal energy systems. His work often involves leveraging software tools such as MATLAB, HOMER Pro, GAMS, and DIgSILENT PowerFactory to simulate and optimize complex energy scenarios, bridging theoretical research with real-world application.

Award

Kiani’s contributions to the field have already been recognized with accolades, including the Best Paper Award at the 13th International Conference on Smart Grids (SGC) in 2023. This award reflects both the originality and the technical rigor of his research in the area of smart grids and hybrid energy solutions. His continuous involvement in high-level academic forums and multiple peer-review roles underscores the growing recognition of his work by the energy systems research community.

Publications

Among his notable scholarly contributions are seven key publications.

These include “Techno-economical Optimal Design of Hybrid Renewable Energy Resources Across Diverse Sites Based on Sensitivity Analysis,” published in AUT Journal of Electrical Engineering; “Optimal Sizing and Siting of Renewable Energy Sources in a ADN Using Meta-Heuristic Algorithms Considering Participation in Energy Market and Resources Uncertainty,” published in 2025 (IEEE), cited for its innovative approach to distributed energy planning; “Designing an Optimal Integrated Energy System Including Sustainable Resources for Real-Time Electrical and Thermal Loads Supplying, Considering Grid Interaction,” 2024 (IEEE); and “Evaluating the Non-participation Penalty in Renewable Energy Utilization to Supply a Portion of Electricity for Large Industries in Iran,” 2024 (IEEE).

Other significant works include “Comparison of Long-term Energy Demand Forecasting in Developing and Developed Countries Using Machine Learning-based Algorithms,” 2024 (IEEE); “A Novel Approach for Frequency Control in Smart Grids Utilizing Thermal Equipment for Emergency Situations,” 2023 (IEEE); and “Optimal Design and Economic Comparison of a Hybrid Energy System in Iran and Switzerland with Sensitivity Analysis,” 2023 (IEEE).

These publications have collectively garnered increasing citations and have contributed valuable insights to fields like energy system planning and uncertainty modeling.

Conclusion

In conclusion, Hossein Kiani’s academic rigor, technical proficiency, and dedication to sustainable energy solutions distinguish him as a valuable contributor to the electrical engineering community. His combination of hands-on laboratory work, active teaching roles, peer-reviewed publications, and recognition through awards exemplifies a well-rounded profile committed to excellence in power systems research. With his ongoing work on advanced topics such as virtual power plants, peer-to-peer energy trading, and demand response strategies, Kiani continues to push the boundaries of innovation in modern energy systems.

Rashed Sahraeian | Sustainability in Oil and Gas | Best Scholar Award

Published on by Petroleum Engineering

Prof. Dr. Rashed Sahraeian | Sustainability in Oil and Gas | Best Scholar Award

Professor at Shahed University, Iran

Professor Rashed Sahraeian is a distinguished full professor in the Department of Industrial Engineering at Shahed University, Tehran, Iran. His career reflects a deep dedication to the fields of optimization, supply chain management (SCM), facility location problems (FLP), and location-routing problems (LRP). Professor Sahraeian is widely recognized for his extensive contributions to academia through impactful research, prolific publications, mentorship of graduate students, and active participation in peer reviewing for top international journals. His scholarly excellence and commitment to industrial engineering have made him a prominent figure both nationally and internationally.

Profile

Google Scholar

Education

Professor Sahraeian’s educational foundation is rooted in industrial engineering, where he specialized in operations research and optimization methodologies. Throughout his academic training, he developed a keen interest in complex decision-making models, quantitative analysis, and supply chain design. His formal education provided him with advanced competencies in mathematical modeling, computational techniques, and logistics systems, setting a robust stage for his future contributions to the domain.

Experience

With an academic career spanning over two decades, Professor Sahraeian has amassed extensive experience in teaching, research, and supervision. He has taught specialized courses including Facility Layout and Location, Supply Chain Management, Scheduling and Sequencing, and Integer Programming. As a dedicated mentor, he has supervised over 55 Master’s theses and 12 Ph.D. dissertations, nurturing the next generation of engineers and researchers. His practical involvement extends beyond academia, where he applies his research findings to real-world industrial problems, emphasizing sustainable and resilient supply chain solutions. Furthermore, his active role as a reviewer for high-impact journals underscores his expertise and reputation in the global academic community.

Research Interest

Professor Sahraeian’s primary research interests encompass optimization in industrial systems, closed-loop supply chain design, facility location under uncertainty, and robust scheduling. He is particularly passionate about solving multi-objective optimization problems in logistics and production environments, employing innovative methods such as hybrid evolutionary algorithms, constraint programming, and grey system theory. His recent work also extends into sustainable supply chain network design, considering environmental factors and resilience against disruptions, aligning closely with contemporary industrial needs and global sustainability goals.

Award

Throughout his academic journey, Professor Sahraeian has been recognized for his outstanding research and educational contributions. He has earned awards and acknowledgments for his significant role in advancing industrial engineering, particularly for his impactful publications and excellence in student supervision. His recognition as a leading figure in optimization and supply chain management is further evidenced by his continuous invitations to review papers for prestigious journals such as the Journal of Cleaner Production, Computers & Industrial Engineering, and Applied Mathematical Modelling.

Publication

Among his many publications, seven notable works illustrate his influential contributions.

(1) In 2012, he co-authored “An interactive possibilistic programming approach for a multi-objective closed-loop supply chain network under uncertainty” in Applied Mathematical Modelling (cited by 340 articles).

(2) In 2013, he published “The hierarchical hub covering problem with an innovative allocation procedure covering radiuses” in Scientia Iranica (cited by 85 articles).

(3) In 2014, his study on “Dynamic multi-commodity inventory and facility location problem in steel supply chain network design” appeared in the International Journal of Advanced Manufacturing Technology (cited by 110 articles).

(4) In 2015, he explored “Optimal modeling and evaluation of job shops with a total weighted tardiness objective” in Applied Mathematical Modelling (cited by 92 articles).

(5) That same year, he co-authored “Augmented ε-constraint method in multi-objective flow shop problem with past sequence setup times” in the International Journal of Production Research (cited by 70 articles).

(6) In 2016, he contributed “MULTI-OBJECTIVE OPTIMIZATION OF INTEGRATED LOT-SIZING AND SCHEDULING PROBLEM IN FLEXIBLE JOB SHOPS” to RAIRO Operations Research (cited by 60 articles).

(7) In 2024, he published “Decision-Making Approach to Design a Sustainable Photovoltaic Closed-Loop Supply Chain Considering Market Share for Electric Vehicle Energy” in Sustainability (garnering growing citations). These selected publications emphasize his research depth and broad application impact.

Conclusion

In conclusion, Professor Rashed Sahraeian has made outstanding contributions to the advancement of industrial engineering, particularly in optimization and supply chain network design. His research innovations, leadership in education, and strong publication record position him as a leading figure in his field. Through a combination of theoretical rigor and practical relevance, he continues to influence the discipline of industrial engineering, inspiring students and colleagues alike. His career trajectory exemplifies academic excellence, practical relevance, and a deep commitment to solving real-world industrial challenges through advanced research methodologies.