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

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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.

Jean Marie Stevy Sama | Petroleum Economics and Risk Analysis | Best Researcher Award

Published on 06/05/2025 by Petroleum Engineering

Mr. Jean Marie Stevy Sama | Petroleum Economics and Risk Analysis | Best Researcher Award

Doctoral at Université de Douala Cameroun, Cameroon

Sama Jean Marie Stevy is a doctoral candidate in Engineering Sciences with a specialization in Energy Economics at the University of Douala in Cameroon. His academic and research trajectory is firmly rooted in the strategic interface between energy systems, econometrics, and public policy. Through hands-on experience in petroleum institutions and a strong grounding in quantitative modeling, Stevy is committed to contributing to the sustainable development of Africa’s energy sector. He has consistently demonstrated a deep commitment to data-driven research and practical interventions aimed at optimizing resource management and energy consumption patterns.

Profile

Scopus

Education

Stevy’s academic foundation was built with a Baccalauréat in Mathematics and Physical Sciences in 2013, which was followed by his intensive five-year training (2015–2020) at the National School of Mines and Petroleum Industries, where he earned an Engineer-Economist degree in Mining and Petroleum Economics. In 2019, he completed a certification in energy transition, signaling his interest in the global shift toward sustainable energy systems. Furthering his academic development, he pursued a Master’s in Energy Research in 2021–2022 at the Laboratory of Applied Technologies and Sciences (LTSA), University of Douala, where he is currently undertaking his doctoral studies. His academic journey has combined rigorous quantitative training with sector-specific economic analysis, preparing him to address complex energy and development challenges.

Experience

Sama Jean Marie Stevy has held multiple internships with Cameroon’s national institutions, giving him valuable exposure to the operational, financial, and policy dynamics of the energy sector. At the Hydrocarbon Price Stabilization Fund (CSPH), he conducted a comprehensive study on the subsidy dynamics of Liquefied Petroleum Gas in 2020, analyzing cost structures and proposing policy responses to subsidy inefficiencies. In 2019, during a previous internship at CSPH, he focused on market analysis of oil products, developing price forecasts and participating in the drafting of tenders related to petroleum imports. Earlier in 2018, at the Directorate of Petroleum and Gas Products (MINEE), he undertook a socio-economic characterization of kerosene users and conducted a simulation of international petroleum demand and pricing. These roles have enriched his understanding of the national and international petroleum landscape and honed his skills in forecasting, data analysis, and policy formulation.

Research Interest

Stevy’s research primarily centers on the econometric modeling of energy consumption, resource production, and economic growth. He has applied advanced techniques such as ARDL and NARDL models to explore the interplay between crude oil production, human development, and macroeconomic stability in sub-Saharan Africa. His focus extends to demand forecasting, CO₂ emissions analysis, and the evaluation of energy policies through the lens of economic development and environmental sustainability. He is particularly interested in how political stability and institutional factors influence the efficiency and productivity of energy resource management.

Award

While formal awards are not explicitly listed, Stevy’s scholarly contributions and active participation in national scientific conferences—such as the Colloque/Conférence des Innovations Scientifiques et Technologiques—demonstrate his recognition within academic circles.

His ability to publish multiple peer-reviewed journal articles in a short span as a doctoral student further underscores his academic merit and research excellence.

Publications

Sama Jean Marie Stevy has co-authored several impactful research articles published in reputable international journals.

In 2023, he published “Unravelling the dynamics of human development and economic growth on crude oil production based on ARDL and NARDL models” in MethodsX, offering novel insights into oil production dynamics. In 2024, he co-authored “Forecasting Petroleum Products Consumption in the Chadian Road Transport Sector using Optimised Grey Models” in the International Journal of Energy Economics and Policy, and another study, “Exploring the Relationship Between CO₂ Emissions and Fuel Consumption in Road Transport: Empirical Evidence from Chad”, in the same journal.

Also in 2024, he published “The nexus between crude oil production, human development and economic growth in Cameroon (1977–2019)” in Energy Strategy Reviews. Most recently, in 2025, he contributed to “The role of stability on crude oil production in Cameroon: Evidence from the ARDL and NARDL models” in Resources Policy. These publications have collectively gained academic traction, with citations reflecting the growing interest in his empirical approaches and regional focus on Africa’s energy sector.

Conclusion

Sama Jean Marie Stevy is an emerging scholar whose blend of technical acumen, field experience, and strong research credentials positions him as a valuable contributor to energy economics and sustainable development in Africa. His career trajectory reveals a consistent focus on evidence-based analysis and policy-relevant research. Through his doctoral work and ongoing scholarly publications, he aims to influence the design of more effective, inclusive, and resilient energy policies. With a clear vision and a growing academic portfolio, Stevy is poised to continue making significant contributions to the intersection of energy economics, policy, and development.

Jingye Liu | Future of Fossil Fuels and Energy Transition | Best Researcher Award

Published on 02/05/2025 by Petroleum Engineering

Dr. Jingye Liu | Future of Fossil Fuels and Energy Transition | Best Researcher Award

Doctoral Student at China University of Mining and Technology (Beijing), China

Jingye Liu is a promising early-career scholar in the field of management science and engineering with a focus on energy systems and supply chain security. Currently pursuing his doctoral studies at the School of Management, China University of Mining and Technology (Beijing), Liu demonstrates a strong commitment to addressing critical issues in global energy supply chains. His research integrates complex quantitative models and real-world policy relevance, contributing meaningful insights into China’s crude oil security strategies. Despite being at the early stages of his academic journey, Liu has already authored several influential publications in prestigious journals and is actively engaged in collaborative, policy-driven research that tackles geopolitical energy challenges.

Profile

Scopus

Education

Jingye Liu is undertaking a Ph.D. in Management Science and Engineering at the China University of Mining and Technology (Beijing), which commenced in September 2023 and is expected to conclude in June 2027. Under the supervision of Professor Rijia Ding, his doctoral work is rooted in multidisciplinary methodologies, combining systems engineering, energy economics, and data-driven decision-making. His academic foundation supports an applied approach to analyzing the energy sector, particularly focused on crude oil supply chain dynamics and national energy security frameworks.

Experience

Although still a Ph.D. candidate, Liu has accumulated substantial experience through collaborative academic research and publication efforts. Working alongside faculty and other researchers, he has been integrally involved in national-level studies evaluating the structure and vulnerabilities of China’s energy systems. His role often includes constructing evaluation models, analyzing large datasets, and interpreting policy implications based on empirical outcomes. Through his research, Liu has developed a nuanced understanding of strategic petroleum reserves, maritime logistics, and risk mitigation strategies. His capacity for teamwork, quantitative analysis, and strategic thinking has earned him recognition among peers and mentors alike.

Research Interest

Jingye Liu’s primary research interests lie in the areas of energy policy, supply chain security, and risk assessment in the context of geopolitical and domestic variables. He is particularly invested in exploring the vulnerabilities and optimization strategies within China’s crude oil supply chain. His work involves employing life-cycle analysis, DEA-like models, and system dynamics to evaluate security performance and provide evidence-based recommendations. Liu is also interested in renewable energy integration, international energy cooperation, and the development of early-warning systems for energy risk monitoring, aligning with global efforts toward sustainable and resilient energy infrastructures.

Award

While still building his academic career, Jingye Liu has earned early recognition through participation in national research projects and contribution to high-impact publications. His co-authored article in Energy Strategy Reviews, a leading journal in energy policy and strategy, stands as a testament to his growing influence in the field. Though no formal awards are listed in the resume, his selection to work on national-level energy risk evaluation projects reflects a form of institutional acknowledgment and academic trust that reinforces the merit of his contributions.

Publication

Jingye Liu has published impactful research in peer-reviewed journals, notably contributing to the following article:

Accessing the security of crude oil supply chain: The case of China, published in Energy Strategy Reviews, Volume 59, May 2025 (Cited by: [data not specified]). Co-authored with Fengqi Guo, Ying Shi, Rijia Ding, and Zhen Chen, this study presents a comprehensive life-cycle risk assessment model to evaluate China’s crude oil supply chain from 2012 to 2022.

The article offers policy recommendations to mitigate upstream vulnerabilities and enhance national energy resilience through expanded strategic reserves and maritime autonomy.

Although this is his most prominently documented publication, Liu is actively engaged in research that is expected to yield further high-quality outputs, reinforcing his academic trajectory and potential impact on the field.

Conclusion

Jingye Liu represents the next generation of researchers committed to securing global and national energy systems through rigorous analytical methods and policy-relevant research. His doctoral journey is already marked by meaningful contributions, including a major journal publication and active participation in strategic research collaborations. With a foundation in management science and engineering and a focus on real-world energy challenges, Liu is well-positioned to contribute significantly to academic and policy discussions in the coming years. His nomination for this award is supported by his academic rigor, innovative research focus, and evident potential to shape the future of energy system analysis and management.

Huayu Long | Data Analytics in Upstream Operations | Best Researcher Award

Published on 30/04/202530/04/2025 by Petroleum Engineering

Dr. Huayu Long | Data Analytics in Upstream Operations | Best Researcher Award

Ph.D. at Tianjin University, China

Huayu Long is an emerging scholar and educator in the field of business administration, with a focus on innovation management, digital transformation, and supply chain resilience. Currently pursuing a Ph.D. in Business Administration at Tianjin University, Huayu combines a strong academic foundation with practical teaching experience. From teaching at Karamay Vocational and Technical College to conducting research on digital governance and supply chain restructuring, Huayu has demonstrated a commitment to addressing complex challenges facing modern businesses. With international academic training and a growing presence in scholarly publications and conferences, Huayu Long represents a new generation of business researchers actively shaping the discourse on organizational strategy and innovation in the digital era.

Profile

Orcid

Education

Huayu Long holds a Master’s degree in Human Resource Management from the University of Lincoln, earned between July 2014 and January 2016, where their studies concentrated on technology innovation management. This academic experience in the UK provided an international perspective on organizational development and technology integration. Building on this foundation, Huayu began Ph.D. studies at Tianjin University in September 2023, specializing in innovation management, supply chain management, and digital transformation. Their current research explores how these interconnected fields can be harnessed to drive organizational resilience and performance in rapidly evolving economic contexts.

Experience

From October 2016 to August 2021, Huayu Long served as a teacher at Karamay Vocational and Technical College. During this period, Huayu was responsible for designing and delivering courses that bridged theoretical knowledge with practical business applications. The role involved not only teaching but also mentoring students and contributing to curriculum development. This experience helped shape Huayu’s understanding of how to translate complex research concepts into accessible knowledge for learners and professionals alike. It also strengthened their interest in exploring real-world challenges through academic inquiry, ultimately leading to advanced research in supply chain and innovation management.

Research Interest

Huayu Long’s research interests lie at the intersection of digital transformation, innovation management, and supply chain restructuring. Their work investigates how organizations can adapt their internal structures and external relationships to remain competitive in digitally driven environments. Specific research themes include the role of digital governance in shaping government-business interactions, the impact of resource restructuring on supply chain resilience, and strategies for navigating supply chain disruptions in an era marked by anti-globalization pressures. By integrating theoretical frameworks with empirical analysis, Huayu aims to contribute actionable insights that inform both academia and industry.

Awards

Huayu Long has actively participated in leading academic conferences that showcase innovative research in business and management. These include the 18th International Conference of Operations and Supply Chain Management and the 2024 Strategic Supply Chain Experts 50 Forum held at Tongji University, as well as the 2nd China Enterprise Innovation and Platform Governance Academic Annual Conference hosted by Zhejiang University of Technology. Most recently, Huayu presented at the Organization Management, Strategy, and Innovation Research conference at Xi’an Jiaotong University in April 2025. These invitations reflect the academic community’s recognition of Huayu’s work and its relevance to ongoing discussions in innovation and supply chain research.

Publications

Huayu Long has authored and co-authored several peer-reviewed articles in reputable journals.

In 2025, the article “The Effect of Resource Restructuring on Supply Chain Resilience in the Context of Digital Transformation” was published in Systems and is increasingly cited in digital strategy literature.

Another 2025 publication, “How can digital governance ecology enable the clean development of the relationship between government and business?” appeared in E-Government, applying the TOE framework to explore the dynamics of digital governance—this work has sparked discussion among scholars of digital public administration.

Earlier, Huayu published “Research on economic effects of accounting” in Business News (2020), a Chinese-language article that attracted regional academic attention. Each of these publications highlights a different aspect of Huayu’s research focus and demonstrates their contribution to critical topics in business transformation.

Conclusion

Huayu Long exemplifies a rising academic voice in the fields of innovation management and digital-era business strategy. With a balanced portfolio of teaching, research, and academic engagement, Huayu brings intellectual curiosity, methodological rigor, and real-world relevance to their work. Their publications and conference contributions reflect a deep commitment to exploring the transformative impact of digital technologies on supply chains, governance structures, and organizational resilience. As they continue their doctoral research and broaden their academic collaborations, Huayu is well-positioned to make lasting contributions to the business research community. Their work not only aligns with current academic trends but also anticipates the evolving needs of global industries, making them a strong candidate for this award nomination.

Fei Huo | Petroleum Geology | Best Researcher Award

Published on 28/04/202528/04/2025 by Petroleum Engineering

Mr. Fei Huo | Petroleum Geology | Best Researcher Award

Professor at Southwest Petroleum University, China

Professor Fei Huo is a distinguished academic at Southwest Petroleum University, recognized for his pioneering research and outstanding contributions to petroleum engineering. With a strong interdisciplinary foundation bridging geological engineering and geochemistry, Professor Huo has become a leading figure in sedimentology and natural gas reservoir studies. His extensive involvement in both academia and industry consulting has positioned him as a prominent voice in advancing the understanding of unconventional oil and gas geology. Over the years, his dedicated efforts have significantly enriched scientific knowledge and technological development in petroleum-related fields, securing his reputation as a key contributor to innovations in carbon capture, utilization, and storage.

Profile

Scopus

Education

Professor Huo’s educational background is a testament to his commitment to multidisciplinary excellence. He earned his Ph.D. in Geological Resources and Geological Engineering from Southwest Petroleum University between September 2015 and December 2019, following a Master’s degree in Geochemistry from the same institution completed in 2015. His academic journey began with a Bachelor’s degree in Finance and Law from Shandong University of Finance and Economics in 2009, reflecting his broad academic curiosity and unique perspective that combines technical and analytical expertise.

Experience

Professor Huo’s professional journey demonstrates steady growth across research and teaching domains. After completing his postdoctoral research at Chengdu University of Technology from March 2020 to June 2022, he assumed a Lecturer position at Southwest Petroleum University, where he continues to mentor students and conduct groundbreaking research. He also serves as a Member of the Academic Committee at the Research Institute for Carbon Dioxide Capture, Utilization, and Storage, actively contributing to national strategies on carbon management and sustainable development. His industry consulting experience further complements his academic work, providing practical insights that enrich his research outcomes and foster stronger university-industry collaborations.

Research Interest

Professor Huo’s primary research interests encompass the material basis of natural gas reservoir formation, sedimentology, oil and gas geology, unconventional oil and gas geology, and paleoclimate restoration. He is particularly renowned for his systematic studies on tectonic-sedimentary differentiation and the hydrocarbon and reservoir formation mechanisms in the Sichuan Basin. His integration of petroleum geology and sedimentology has led to innovative theoretical frameworks, especially concerning shale and carbonate formations. Through comprehensive field studies and advanced modeling, he has illuminated complex geological processes crucial for effective resource extraction and reservoir management.

Award

Throughout his career, Professor Huo has received significant recognition for his scholarly and innovative contributions. His work has been acknowledged through various nominations for prestigious awards, including the Distinguished Scientist Award, Lifetime Achievement Award, Outstanding Scientist Award, Best Researcher Award, Best Innovation Award, Best Faculty Award, Best Research Scholar Award, Excellence in Innovation, and Excellence in Research. His involvement in high-impact projects, advisory roles, and editorial responsibilities for top journals further reflects his leadership in the field.

Publication

Professor Huo has authored numerous influential publications that have garnered widespread citations and recognition. Some of his notable publications include:

(1) Huo F., Wang X., Wen H., et al., “Genetic mechanism and pore evolution in high quality dolomite reservoirs of the Changxing-Feixianguan Formation in the northeastern Sichuan Basin, China,” Journal of Petroleum Science and Engineering, 2020, cited by multiple subsequent studies;

(2) Huo F., et al., “Sedimentary facies and reservoir evolution of dolomite rocks in a rift setting,” Marine and Petroleum Geology, 2021;

(3) Huo F., et al., “Carbonate platform margin dynamics and reservoir prediction,” Carbonates and Evaporites, 2022;

(4) Huo F., et al., “Paleoclimate implications from carbonate isotopic data in gas-bearing basins,” Sedimentary Geology, 2021;

(5) Huo F., et al., “Unconventional reservoir formation mechanisms under tectonic influence,” Geological Journal, 2023;

(6) Huo F., et al., “High-resolution stratigraphy and its implication for hydrocarbon exploration,” Petroleum Exploration and Development, 2020;

(7) Huo F., et al., “Application of geochemical indicators in evaluating gas reservoir quality,” Journal of Asian Earth Sciences, 2022. Each publication has been cited by several peer-reviewed articles, reflecting their lasting impact.

Conclusion

In conclusion, Professor Fei Huo exemplifies excellence in petroleum engineering research, education, and professional service. His comprehensive approach, combining theoretical modeling, field exploration, and industry collaboration, has significantly advanced the scientific community’s understanding of reservoir geology and carbon management. His body of work not only addresses current challenges in energy resource development but also paves the way for more sustainable and efficient practices in the future. Professor Huo’s dedication, innovative spirit, and leadership continue to inspire the next generation of petroleum engineers and geoscientists globally.

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

Published on 28/04/2025 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

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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.

Reza Zabihi | Enhanced Oil Recovery | Best Researcher Award

Published on 24/04/2025 by Petroleum Engineering

Assist. Prof. Dr. Reza Zabihi | Enhanced Oil Recovery | Best Researcher Award

Assistant Professor at Shahid Bahonar University of Kerman, Iran

Dr. Reza Zabihi is an Assistant Professor at the Department of Petroleum Engineering at Shahid Bahonar University of Kerman, Iran, where he has been actively involved in both teaching and research since 2020. He also holds the role of Dean of the Department of Petroleum Engineering since 2024. In addition to his administrative duties, Dr. Zabihi serves as the advisor to the Student Scientific Associations and the Dean of Petroleum Laboratories at the university. His academic and research endeavors focus on the exploration of innovative methods in petroleum engineering, particularly Enhanced Oil Recovery (EOR), biotechnology, artificial intelligence, and nanotechnology, among others. He is recognized for his multidisciplinary approach, which integrates chemical engineering principles with petroleum engineering to solve complex industry problems.

Profile

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Education

Dr. Zabihi completed his Ph.D. in Chemical Engineering (Petroleum) from Shiraz University in 2018, where he received an outstanding average grade of 17.22/20. His doctoral research was dedicated to advancing microbial enhanced oil recovery (MEOR) techniques, specifically through the use of solvent, acid, and gas-producing bacteria. Prior to his Ph.D., he earned his M.Sc. in Petroleum Engineering from Shahid Bahonar University of Kerman with a focus on Drilling and Production, where he graduated with a high distinction (18.90/20). His academic journey began with a B.Sc. in Mining Engineering (Extraction), also from Shahid Bahonar University of Kerman, where he was awarded a top grade of 16.33/20. His thesis work consistently demonstrated his ability to bridge theoretical knowledge with practical applications, making significant contributions to the fields of petroleum and chemical engineering.

Experience

Dr. Zabihi’s professional experience spans both teaching and research roles. He has been a full-time faculty member at Shahid Bahonar University of Kerman since 2020, where he teaches a wide range of courses such as Advanced Petroleum Production Engineering, Well Testing, and Enhanced Oil Recovery at both the BSc and MSc levels. In addition to his teaching responsibilities, Dr. Zabihi has served in several key administrative roles, including Dean of Petroleum Laboratories and Advisor of Student Scientific Associations. His research experience includes a period as a Research Assistant at Shiraz University, where he contributed to various projects on environmental sustainability in the petroleum and petrochemical sectors.

Dr. Zabihi’s industry experience includes working as a researcher in projects like “Light Naphtha Isomerization” with the National Iranian Oil Products Distribution Company (NIOPDC), as well as consulting roles in petroleum drilling, production, and chemical process optimization. He has developed a strong reputation for his ability to leverage both fundamental and applied science to solve real-world problems in the petroleum sector.

Research Interests

Dr. Zabihi’s research interests cover a wide array of topics in petroleum engineering and chemical engineering. His primary focus lies in Enhanced Oil Recovery (EOR) methods, especially those that incorporate biotechnology, such as microbial enhanced oil recovery (MEOR) using novel bioproducts. He is also deeply involved in the application of artificial intelligence (AI) and machine learning in petroleum engineering for predictive modeling and optimization of production processes. His work extends to nanotechnology, specifically its applications in drilling fluids and reservoir management, as well as the development of sustainable methods for environmental pollution control and wastewater treatment. These interests are reflected in his extensive work on asphaltene deposition, formation damage, and the application of bio-based solutions for oil extraction.

Awards

Dr. Zabihi has been recognized for his academic excellence and contributions to the petroleum engineering field. Notably, he received the First Rank in Petroleum Engineering (Drilling & Production) at Shahid Bahonar University in 2010 and the Second Rank in Mining Engineering (Extraction) in 2008. These achievements highlight his consistent academic and research excellence. He continues to contribute to the advancement of petroleum engineering knowledge and practice, particularly through his teaching and research efforts aimed at solving complex problems in the energy sector.

Publications

Dr. Zabihi has contributed to a number of high-impact journals and conferences. Some of his notable publications include:

Aghamohammadi, N., Schaffie, M., Ranjbar, M., & Zabihi, R. (2025). “Investigating the impact of Bacillus subtilis bioproducts on static adsorption of asphaltene on dolomite and calcite.” Fuel, 397, 135240.

Hosseini, S.M.M., Farazmand, R., Rashidi, M., Mohammadi, M.R., & Zabihi, R. (2025). “Experimental Study and Intelligent Modeling to Evaluate the Impact of Particle-Size Distribution on the Rheological Properties of Class G Oilwell Cement.” SPE Journal, 1-17.

Dabiri, M.S., Haji-Hashemi, R., Ashoorian, S., Schaffie, M., & Zabihi, R. (2025). “Modeling drilling fluid density at high-pressure high-temperature conditions using advanced machine-learning techniques.” Geoenergy Science and Engineering, 244, 213369.

Riazi, M., Hemmati-Sarapardeh, A., Schaffie, M., Zabihi, R., & Riazi, M. (2025). “A comparative analysis of alpha olefin sulfonate and dodecyl sulfate in aphronic fluid containing xanthan gum in a wide range of temperatures.” Scientific Reports, 15(1), 2507.

Norollahi, S., Jalalifar, H., & Zabihi, R. (2024). “The effect of drilling parameters on the rate of penetration in deviated core drilling.” Journal of Petroleum Geomechanics, 7(1), 81-88.

Tabbakhzadeh, M.N., Esmaeilzadeh, F., Mowla, D., & Zabihi, R. (2024). “Effects of reservoir fluids on sand packs consolidated by furan and epoxy resins: Static and dynamic states.” Journal of Rock Mechanics and Geotechnical Engineering, 16(11), 4504-4514.

Soleimani, Y., Mohammadi, M.R., Schaffie, M., Zabihi, R., & Ranjbar, M. (2023). “An experimental study of the effects of bacteria on asphaltene adsorption and wettability alteration of dolomite and quartz.” Scientific Reports, 13(1), 21497.

Conclusion

Dr. Reza Zabihi is a highly accomplished academic and researcher whose work bridges the fields of petroleum engineering, chemical engineering, and biotechnology. His dedication to advancing sustainable and efficient practices in the petroleum industry, combined with his expertise in artificial intelligence and nanotechnology, has positioned him as a leader in his field. Through his role at Shahid Bahonar University of Kerman and his extensive publication record, Dr. Zabihi continues to influence the next generation of engineers while contributing to the global efforts in improving oil recovery processes and reducing environmental impacts associated with petroleum production. His contributions have earned him recognition within the academic community, and his ongoing research promises to drive innovation and practical solutions in petroleum engineering for years to come.

Yuxin Zhao | Petroleum Economics and Risk Analysis | Best Researcher Award

Published on 24/04/2025 by Petroleum Engineering

Prof. Dr. Yuxin Zhao | Petroleum Economics and Risk Analysis | Best Researcher Award

Professor at NPC Tubular Goods Research Institute (TGRI), China

Prof. Yuxin Zhao is a leading expert in smart sensors and nanotechnology, known for his significant contributions to the development of microelectromechanical systems (MEMS) and advanced gas sensing technologies. Currently a Professor and Principal Investigator at the China National Petroleum Corporation (CNPC), he is at the forefront of integrating cutting-edge materials science with practical sensing solutions for industrial applications. With over 15 years of experience spanning academic and industrial research, Prof. Zhao has become a prominent figure in the areas of environmental monitoring, petrochemical safety, and smart energy systems. His research outputs, leadership roles, and editorial work underscore his reputation as a high-impact scientist dedicated to advancing innovation in nanomaterials and sensor technologies.

Profile

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Education

Prof. Zhao’s academic journey began at the China University of Petroleum (East), where he obtained a Bachelor of Science degree in Material Chemistry in 2009. Demonstrating exceptional promise early in his career, he continued at the same university to pursue a Ph.D. in Chemical Engineering, which he completed in 2014. His doctoral studies were instrumental in shaping his interdisciplinary expertise, combining chemistry, materials science, and engineering principles—skills that now form the foundation of his research in nanoscale systems and gas sensors. His education was further enriched by international exposure during his time as a visiting scholar at Griffith University, Australia, where he explored micro-manufacturing technologies.

Professional Experience

Prof. Zhao’s career path reflects a strong integration of research excellence and industrial impact. From 2012 to 2014, he served as a visiting scholar at Griffith University, focusing on micro-manufacturing technologies critical for miniaturized sensor design. He then transitioned to a senior engineering role at Sinopec RISE, where from 2015 to 2019 he led research in smart gas sensors, significantly influencing early warning and detection technologies in petrochemical applications. In 2019, Prof. Zhao joined Xi’an Jiaotong University as a Professor in Nanoscience, where he mentored students and led numerous research initiatives in nanomaterials synthesis and sensor integration. Since 2023, he has been a leading researcher at CNPC’s Tubular Goods Research Institute, driving innovation in MEMS-based sensor arrays for hazardous gas detection in the oil and gas industry.

Research Interests

Prof. Zhao’s multidisciplinary research spans smart gas sensors, in-situ probe scanning technology, light-thermal management, and the synthesis and directed self-assembly of nanomaterials. He focuses on overcoming challenges in miniaturized sensor performance, targeting issues like signal inconsistency, cross-sensitivity, and environmental instability. His recent work involves developing multiplexed ceramic MEMS sensors with pulse-temperature modulation and high sensitivity, which are vital for real-time gas detection in harsh environments. He is also involved in emerging fields like hydrogen safety sensors and plasmon-enhanced solar energy harvesting. His integration of theoretical modeling with experimental nanofabrication continues to set new benchmarks in sensor performance.

Awards and Honors

Prof. Zhao’s excellence has been recognized through numerous prestigious awards. He received the Young Scientist Award from the China Instrument and Control Society in 2023 and two major invention patent awards in 2022: the China Invention Patent Award and the Second Prize of the Shandong Provincial Invention Patent Award. His foresight in sensor innovation earned him the SINOPEC Prospective Research Award in 2019. He was also honored with the Young Talent Scholarship at Xi’an Jiaotong University in 2018, the Science and Technology Progress Award in 2016, and the Provincial Excellent Doctoral Dissertation Award the same year. His early academic promise was acknowledged with a Chinese Scholarship Council (CSC) scholarship in 2012.

Selected Publications

Prof. Zhao has published over 50 peer-reviewed papers, with a total citation count exceeding 2,200 and an h-index of 26. Some of his recent impactful works include:

“Probing electron transport mechanisms in single-molecule transistors,” Device, 2025.

“High-performance multiplexed ceramic MEMS gas sensor arrays,” FlexMat, 2025.

“CCUS: A Panacea or a Placebo in the fight against climate change?” Green Energy & Environment, 2025.

“The bottleneck of MEMS-based gas sensors in the petrochemical industry,” Chemical Engineering Journal, 2024.

“Pre-sodiation strategies for sodium-ion batteries,” Advanced Functional Materials, 2024.

“Stable palladium-based MEMS gas sensors for hydrogen security,” SmartMat, 2024.

“Hot-electron dynamics in medical diagnostics,” Chemical Reviews, 2023.
These publications span multiple high-impact journals and have been widely cited, reflecting the broad relevance of his research in both academic and industrial domains.

Conclusion

Prof. Yuxin Zhao is a visionary researcher whose work sits at the confluence of advanced materials science, sensor technology, and industrial application. His pioneering research has not only advanced the scientific understanding of gas sensing and nanomaterials but also led to practical solutions for energy security and environmental protection. Through his publications, patents, mentorship, and editorial leadership, he has become a key contributor to the global research community. As a nominee for this award, Prof. Zhao exemplifies the values of innovation, impact, and excellence in engineering and science.

Tahir Cetin Akinci | Data Analytics in Upstream Operations | Best Research Article Award

Published on 24/04/2025 by Petroleum Engineering

Dr. Tahir Cetin Akinci | Data Analytics in Upstream Operations | Best Research Article Award

Scientist at University of California Riverside, United States

Dr. Tahir Çetin Akıncı is a distinguished academician and researcher in electrical engineering, particularly known for his impactful work in artificial intelligence, renewable energy, and advanced signal processing. With a professional trajectory that spans over two decades, he has consistently contributed to advancing knowledge and innovation in intelligent systems and power electronics. His commitment to both academic excellence and real-world problem-solving has earned him global recognition, positioning him as a thought leader in his field.

Profile

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Education

Dr. Akıncı began his academic journey at Klaipeda University in Lithuania, earning his undergraduate degree in electrical engineering in 2000. He later pursued graduate studies at Marmara University, where he completed his master’s degree in 2005 and Ph.D. in 2010. These formative academic experiences laid the groundwork for his future research directions, particularly in the domains of energy systems and machine learning applications. His educational path is marked by a solid foundation in electrical systems theory, enriched by practical insights into data-driven methodologies.

Experience

His professional career commenced as a Research Assistant at Marmara University, where he served from 2003 to 2010. He then joined Istanbul Technical University (ITU), advancing through academic ranks to become a full professor by 2020. Currently, Dr. Akıncı serves at the University of California, Riverside, contributing to international collaborations and high-impact research initiatives. Throughout his tenure in academia, he has mentored students, led research projects, and collaborated across disciplines to address critical engineering challenges.

Research Interest

Dr. Akıncı’s research interests are both broad and deep, encompassing renewable energy systems, artificial neural networks, deep learning, machine learning, cognitive systems, signal processing, and data analysis. His multidisciplinary approach allows him to tackle complex problems—ranging from optimizing photovoltaic systems to diagnosing electrical motor faults using AI. His work in renewable energy technologies and smart systems not only enhances system efficiencies but also aligns with global sustainability goals. He is particularly passionate about the integration of AI in diagnostics, predictive maintenance, and energy management, striving to create systems that are not only intelligent but also resilient and sustainable.

Award

His contributions have been recognized through multiple prestigious awards, most notably the International Young Scientist Excellence Award and the Best Researcher Award in 2022. These accolades reflect his pioneering work and the high regard he holds within the scientific community. In addition to these honors, Dr. Akıncı has played critical roles as editor and guest editor for leading journals and serves on scientific committees of several high-profile international conferences, further underscoring his influence in shaping future directions in electrical engineering and AI.

Publication

Among his extensive list of publications, several recent papers stand out for their innovative approaches and significant citations. For instance:

“Sustainable pathways for hydrogen production: Metrics, trends, and strategies for a zero-carbon future,” Sustainable Energy Technologies and Assessments, 2025 – cited for its strategic insights on green hydrogen.

“Revealing GLCM Metric Variations across Plant Disease Dataset,” Electronics, 2024 – contributes to deep learning applications in agriculture.

“Optimization of Neuro-controller Application for MPPT in Photovoltaic Systems,” Electric Power Components and Systems, 2024 – enhances energy efficiency using AI.

“Time Series Forecasting Utilizing AutoML,” Information, 2024 – applies automated ML for forecasting in diverse datasets.

“Advanced Dual RNN Architecture for Electrical Motor Fault Classification,” IEEE Access, 2023 – highly cited for its innovation in motor diagnostics.

“Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication,” IEEE Access, 2023 – strengthens smart grid reliability.

“Effect of LED Light Frequency on an Object in Terms of Visual Comfort,” Electric Power Components and Systems, 2024 – explores visual ergonomics in energy-efficient lighting.

Conclusion

In conclusion, Dr. Tahir Çetin Akıncı exemplifies the ideal candidate for this award through his unwavering commitment to scientific advancement, innovation in engineering education, and leadership in multidisciplinary research. His work bridges the gap between theory and application, aiming to develop technologies that not only solve current engineering problems but also anticipate future challenges. Through his dedication, he continues to inspire the next generation of engineers and scientists, fostering a more intelligent and sustainable world.

Mohammadali Ahmadi | Enhanced Oil Recovery | Best Researcher Award

Published on 19/04/2025 by Petroleum Engineering

Prof. Mohammadali Ahmadi | Enhanced Oil Recovery | Best Researcher Award

Researcher at University of Technology (SUT), Iran

Dr. Mohammadali Ahmadi is a highly accomplished researcher and academic currently affiliated with the University of Calgary and the Petroleum University of Technology. With a research career spanning over a decade, Dr. Ahmadi has made significant contributions to the fields of petroleum engineering, energy systems, and molecular simulation. His innovative work focuses on improving recovery processes in heavy oil reservoirs, enhancing surfactant applications, and applying molecular dynamics and machine learning to address complex challenges in oil and gas systems. With over 185 publications and more than 8,400 citations, his research has not only advanced scientific understanding but also shaped practical applications in energy engineering and sustainable resource development.

Profile

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Education

Dr. Ahmadi’s academic foundation is rooted in petroleum engineering, where he earned his advanced degrees specializing in enhanced oil recovery and chemical engineering techniques. His rigorous academic training laid the groundwork for a prolific research trajectory, allowing him to merge fundamental scientific inquiry with industrially relevant challenges. Throughout his education, he cultivated expertise in computational modeling, reservoir simulation, and surfactant-fluid interactions, preparing him for an influential career in both academia and the energy sector.

Experience

Over the years, Dr. Ahmadi has held research and teaching roles that bridge academia and industry. His dual affiliation with the University of Calgary and the Petroleum University of Technology highlights his global influence and collaborative research ethos. He has independently led numerous projects that focus on oil recovery, nanoconfinement effects, interfacial science, and chemical processes in porous media. His hands-on experience spans experimental design, simulation modeling, and the application of artificial intelligence in reservoir characterization. Beyond research, Dr. Ahmadi has mentored graduate students, developed university curricula, and contributed as a reviewer for top-tier scientific journals.

Research Interest

Dr. Ahmadi’s research interests revolve around enhanced oil recovery (EOR), nanoconfinement phenomena, molecular dynamics (MD) simulations, and the environmental optimization of hydrocarbon production. He is particularly focused on the role of surfactants in emulsification-demulsification processes and their molecular behavior in subsurface environments. Other core interests include CO₂ sequestration, steam-surfactant co-injection, and machine learning applications in petroleum systems. His interdisciplinary approach—blending chemical engineering, geomechanics, and data science—enables him to address both theoretical and practical problems in energy sustainability.

Awards

Dr. Ahmadi has received several accolades in recognition of his groundbreaking research and scholarly contributions. His high citation count, an H-index of 60, and frequent collaboration with leading scientists highlight his standing in the scientific community. While specific award names are not detailed in the public record, his sustained publication in high-impact journals and the adoption of his findings in patent literature underscore his influence and merit for prestigious academic honors.

Publications

Among his extensive portfolio of over 180 works, several stand out for their impact and citation frequency.

His 2022 article, “Molecular dynamics simulation of oil detachment from hydrophobic quartz surfaces during steam-surfactant Co-injection” in Energy (cited 32 times), provides insights into recovery processes at the nanoscale. Another highly cited work, “Comprehensive review of the interfacial behavior of water/oil/surfactant systems using dissipative particle dynamics simulation,” published in Advances in Colloid and Interface Science (2022), has received 37 citations.

His 2021 paper in Fuel on surfactant-asphaltene interactions has been cited 72 times, reflecting its foundational contribution. The 2020 study in Energy & Fuels titled “Insight into the Interfacial Behavior of Surfactants and Asphaltenes” has been cited 58 times.

His 2021 article in Petroleum comparing permeability estimation methods has attracted 139 citations, showcasing his impact on reservoir engineering. “Challenges and future of chemical assisted heavy oil recovery processes,” published in 2020 in Advances in Colloid and Interface Science, is another well-cited piece with 104 references.

Lastly, his 2020 Symmetry publication on surfactant-asphaltene interactions in hydrocarbon solvents has been cited 44 times, reinforcing his expertise in interfacial behavior.

Conclusion

Dr. Mohammadali Ahmadi stands as a leading figure in the field of petroleum engineering and energy science. His ability to tackle intricate challenges using computational tools and experimental insights has not only enriched academic literature but also provided viable solutions for the energy industry. With a remarkable blend of scientific rigor, technical innovation, and interdisciplinary collaboration, Dr. Ahmadi continues to shape the future of enhanced oil recovery and sustainable energy processes. His qualifications, productivity, and scholarly excellence make him an outstanding candidate for any distinguished award in engineering and applied science.