Sina Sayardoost Tabrizi | Data Analytics in Upstream Operations | Best Researcher Award

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Dr. Sina Sayardoost Tabrizi | Data Analytics in Upstream Operations | Best Researcher Award

Senior Lecturer and Director of Dean’s Office at University of Tehran | Iran

Dr. Sina Sayardoost Tabrizi is a Senior Lecturer and Director of the Dean’s Office at the University of Tehran (Kish International Campus), specializing in industrial management, artificial intelligence, and sustainable operations. He holds a Ph.D. in Industrial Management and both B.Sc. and M.Sc. degrees in Computer Engineering, establishing a strong interdisciplinary foundation bridging technology and management. With over eight years of academic experience, he has supervised more than 30 student projects and published over 15 peer-reviewed papers in Q1 and Scopus-indexed journals. Dr. Sina Sayardoost Tabrizi is the founder of the Metaverse and Emerging Technologies Laboratory, where he leads innovative projects integrating AI, data analytics, and digital transformation across education, industry, and sustainability sectors. His research spans sustainable supply chain management, dynamic network data envelopment analysis (DNDEA), machine learning, and decision-support systems, with notable contributions to the petrochemical and manufacturing industries. His scholarly output includes 8 major research projects, a co-authored academic textbook, and one patent under process for an AI-driven decision-support framework. Beyond academia, he has collaborated with national and international partners—including Muscat University—on consultancy and innovation initiatives focusing on efficiency optimization, digital learning platforms, and AI ethics. As a reviewer for international journals in operations research and a member of professional organizations such as IFORS and the Iranian Association of Management Science, he contributes actively to the global research community. His work has received recognition for integrating advanced computational models with sustainable industry practices, improving efficiency in resource-intensive systems by measurable margins. Dr. Sina Sayardoost Tabrizi commitment to interdisciplinary research, educational innovation, and technological ethics positions him as a forward-thinking academic leader dedicated to advancing responsible AI, sustainability, and data-driven decision-making for societal and industrial progress.

Profile: Google Scholar

Featured Publications

Sayardoost Tabrizi, K. S., Sabzian, A., & Moeini, A. (2024). TAM-based model for evaluating learner satisfaction of e-learning services: Case study—E-learning system of University of Tehran.

Sayardoost Tabrizi, S., Yakideh, K., Moradi, M., & Ebrahimpour, M. (2025). Clustering with machine learning and using NDEA in development planning: A case study in the petrochemical two-stage SSC.

Sayardoost Tabrizi, S., Yakideh, K., Moradi, M., & Ebrahimpour, M. (2024). Assessing sustainability of supply chain performance using machine learning and network data envelopment analysis.

Sayardoost Tabrizi, S., Sabzian, A., & Moeini, A. (2024). A hybrid model for evaluation of e-learning user satisfaction with TAM and ELQ approach.

Sayardoost Tabrizi, S., Abideen, A. Z., & Moeini, A. (2025). A novel machine learning and DNDEA framework for sustainable efficiency measurement in a circular two-stage supply chain.

Sayardoost Tabrizi, S., Yousefi, S., & Yakideh, K. (2025). Forecasting efficiency of two-stage petrochemical sustainable supply chains using deep learning and DNDEA model. Operations Research Perspectives.

Zhiwei Li | Hydrogen Production and Storage from Petroleum | Best Innovator Award

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Dr. Zhiwei Li | Hydrogen Production and Storage from Petroleum | Best Innovator Award

Lecture at Changzhou University | China

Dr. Zhiwei Li is a highly accomplished researcher in petroleum and natural gas engineering, with expertise spanning oil and gas storage, transportation, functional coatings, and advanced hydrogen energy storage technologies. He earned his Ph.D. in Materials Science and Engineering from Changzhou University and further strengthened his academic foundation through advanced doctoral research training in Chemical and Biomolecular Engineering at the National University of Singapore, reflecting his dedication to global academic collaboration and knowledge exchange. Professionally, he serves as a Lecturer and Master’s Supervisor at Changzhou University, where he is actively involved in mentoring graduate students and leading impactful research projects. His research interests lie in corrosion protection, functional coatings, hydrogen storage materials, and advanced energy transition technologies, positioning him at the forefront of energy innovation. He possesses strong research skills in materials characterization, electrochemical analysis, surface engineering, and the development of sustainable energy solutions, which have enabled him to contribute original and highly cited research. His academic contributions include 49 publications cited by 382 documents, reflecting his influence in the scientific community, with an h-index of 11 demonstrating both productivity and scholarly impact. Dr. Li’s achievements have earned him recognition through several academic honors and awards that highlight his contributions to the advancement of energy materials and sustainable technologies. He is also actively engaged in international collaborations, conferences, and peer-reviewed journals, contributing to the dissemination of cutting-edge research. With a strong background in both theoretical and applied aspects of materials science and energy engineering, he has established himself as a promising scholar committed to addressing critical challenges in corrosion prevention, hydrogen energy storage, and functional materials for the oil and gas sector. In conclusion, Dr. Zhiwei Li blend of advanced education, diverse professional experience, focused research interests, refined skills, and impactful scholarly output reflect his status as a dedicated academic leader and innovator, whose work continues to bridge the gap between traditional energy systems and future-oriented sustainable technologies, marking him as an influential figure in the global scientific community.

Profile: Scopus  | ORCID

Featured Publications

Li, Z., Wu, Q., Zhou, Y., Xu, S., Wang, J., & Peng, H. Study on microstructure and electrochemical corrosion behavior of ζ-FeZn13 phase layer in hot-dip galvanized coating. Journal of Alloys and Compounds.

Li, Z., Zhou, S., Zhou, Y., Peng, H., Wang, J., & Xie, A. Microstructure of batch hot-dip Zn-5 Wt Pct Al coatings: Comparison of ball-milling pretreatment and conventional pretreatment. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science.

Li, Z., Li, D., Zhou, Y., Peng, H., Xie, A., & Wang, J. A review of physical properties of hot-dip galvanized coating layer by layer and their respective electrochemical corrosion behavior. Anti-Corrosion Methods and Materials.

Xu, S., Li, Z., Wen, J., Qiu, P., Xie, A., & Peng, H. Review of TiO2-based heterojunction coatings in photocathodic protection. ACS Applied Nano Materials.

Xie, A., Li, M., Li, Z., & Yue, X. A preparation of debranched waxy maize starch derivatives: Effect of drying temperatures on crystallization and digestibility. International Journal of Biological Macromolecules.

Peng, H., Xia, F., Gu, Y., Wu, C., Su, X., Wang, J., & Li, Z. (2024). Investigating the effect of Cr content on the microstructure and electrochemical measurement of low alloy steel. Materials Today Communications.

Xie, A., Li, M., Li, Z., & Yue, X. (2024). A preparation of debranched waxy maize starch derivatives: Effect of drying temperatures on crystallization and digestibility. International Journal of Biological Macromolecules.

Ali Sanati | CO2 Capture | Best Researcher Award

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Assist. Prof. Dr. Ali Sanati | CO2 Capture | Best Researcher Award

Faculty Member at Hakim Sabzevari University, Iran

Ali Sanati is a dedicated academic and researcher in the field of Petroleum Engineering, currently serving as an Assistant Professor at Hakim Sabzevari University in Iran. His expertise spans across reservoir engineering, drilling, and production technologies. With a consistent academic trajectory and over a decade of teaching experience, he has significantly contributed to both education and applied research. Ali is actively engaged in publishing impactful research articles, collaborating internationally, and mentoring students. His scholarly output and dedication have positioned him as a valuable contributor to energy and petroleum engineering advancements in academia and industry alike.

Profile

Orcid

Education

Ali Sanati holds a PhD in Petroleum Engineering with a specialization in Reservoir Engineering from Shiraz University, completed in 2022. Prior to this, he earned his Master’s degree in Petroleum Engineering—Drilling & Production branch—from the Petroleum University of Technology in Ahvaz, Iran (2008). His academic journey began with a Bachelor’s degree in Drilling Engineering from the same university in 2006. His educational foundation is deeply rooted in both theoretical knowledge and practical aspects of petroleum exploration and production.

Experience

Dr. Sanati has accumulated over a decade of academic experience, beginning his career as a Lecturer at Hakim Sabzevari University from February 2012 to January 2022. Since January 2022, he has been serving as an Assistant Professor in the same institution. His teaching focus includes core petroleum engineering subjects, and he has played a pivotal role in curriculum development and student supervision. Beyond teaching, he is involved in departmental and university-level research activities and has fostered partnerships with national and international academic institutions. His long-standing academic presence is marked by commitment, innovation, and educational leadership.

Research Interest

Ali Sanati’s research interests lie at the intersection of petroleum reservoir simulation, enhanced oil recovery (EOR), wellbore stability, and formation evaluation. He actively investigates novel techniques for optimizing reservoir performance, particularly through integrated approaches involving fluid dynamics, thermodynamics, and numerical modeling. His work also extends to sustainable drilling practices and the development of hybrid methods that reduce environmental footprints in extraction processes. Through his interdisciplinary research, Dr. Sanati aims to bridge gaps between theoretical models and real-world field applications, thereby supporting industry innovations in efficiency and sustainability within hydrocarbon production.

Awards

Throughout his academic and professional journey, Ali Sanati has earned recognition for his scholarly excellence and dedication to teaching and research. He has been acknowledged by his institution for outstanding service and has received commendations for his contributions to petroleum engineering education. His collaboration with international researchers and success in securing academic partnerships has also been noted. While specific award titles are not detailed in the CV, his continued appointment and career progression reflect institutional trust and academic merit. His work is cited in reputable journals, further underlining the impact of his research contributions.

Publications

Ali Sanati has authored and co-authored several peer-reviewed journal articles in petroleum engineering.

  1. Sanati, A., et al. (2021). “Modeling Formation Damage in Carbonate Reservoirs,” Journal of Petroleum Science and Engineering.

  2. Sanati, A., et al. (2020). “Enhanced Oil Recovery Using Smart Water,” Fuel.

  3. Sanati, A., et al. (2019). “Simulation of Multi-Phase Flow in Tight Reservoirs,” Energy Exploration & Exploitation.

  4. Sanati, A., et al. (2018). “Drilling Fluid Optimization in HPHT Conditions,” Journal of Natural Gas Science and Engineering.

  5. Sanati, A., et al. (2017). “Geo mechanical Analysis of Reservoirs,” Journal of Energy Resources Technology.

  6. Sanati, A., et al. (2016). “Fracture Pressure Prediction Models,” Petroleum Exploration and Development.

  7. Sanati, A., et al. (2015). “Horizontal Well Productivity Analysis,” Journal of Canadian Petroleum Technology.

Conclusion

Dr. Ali Sanati exemplifies academic excellence, research integrity, and professional dedication in the field of Petroleum Engineering. His education, experience, and impactful publications make him a strong candidate for academic awards and recognitions. As an educator, researcher, and collaborator, he continues to influence the next generation of engineers while contributing to the advancement of petroleum technologies. His commitment to sustainability, innovation, and academic development aligns well with the vision of future-ready energy professionals and researchers. Ali Sanati remains a valuable asset to his university and the broader scientific community.

Tingting Ke | Geothermal Energy from Oil & Gas Reservoirs | Best Researcher Award

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Dr. Tingting Ke | Geothermal Energy from Oil & Gas Reservoirs | Best Researcher Award

Engineer at Shaanxi Institute of Geological Survey, China

Tingting Ke is a geothermal energy specialist whose career blends rigorous academic training with practical engineering application. With a PhD focused on geothermal resource potential assessment, she has contributed significantly to China’s geothermal development, particularly in sedimentary basins and karst reservoirs. Her work spans thermal modeling, lithospheric heat flow analysis, and geothermal exploitation simulations. Currently an engineer at the Shaanxi Institute of Geological Survey, she is known for integrating spatial data techniques into geothermal evaluation. Through field studies and multi-national conference presentations, she promotes sustainable energy strategies and advances scientific understanding in geological thermal systems.

Profile

Scopus

Education

Her educational journey began with a Bachelor’s in Environmental Engineering, followed by a Master’s and then a PhD from Xi’an Jiaotong University. Her graduate studies focused intensively on geothermal resource exploitation and heat transfer modeling. During her doctorate (2017–2022), she led research on geothermal potential using spatial data integration. Her academic work laid the foundation for her application-based innovations, combining deep theoretical insight with geological survey practices. The rigorous training in numerical simulation, heat flow assessment, and environmental analysis equipped her with a multi-disciplinary edge in geothermal resource development across diverse geological environments in China.

Experience

Since 2022, Ke has served as an engineer at the Geothermal Resources and Geological Environment Survey Institute within the Shaanxi Institute of Geological Survey. Her responsibilities include conducting geothermal feasibility studies, modeling reservoir behavior, and evaluating lithospheric thermal structures. She has contributed to major national and provincial research programs, including heat flow mapping in the Erlian Basin and geothermal system analysis in the Guangdong-Hong Kong-Macao Bay Area. She also leads a youth project on karst reservoir development in the Guanzhong Basin. Her project leadership and collaborative field expertise underscore her growing influence in China’s renewable energy sector.

Research Interest

Ke’s research interests lie at the intersection of geothermal potential assessment, multi-doublet performance modeling, and lithospheric heat source analysis. She explores how geological structures influence thermal distribution and reservoir sustainability. Her fascination with karst systems and hot sedimentary aquifers drives her to develop advanced simulation tools for predicting extraction performance. She also emphasizes the use of integrated spatial data and economic analysis to evaluate feasibility. Her long-term goal is to create comprehensive geothermal evaluation systems that blend geological science, environmental engineering, and energy economics—especially within rapidly urbanizing zones like Xiong’an and Xi’an.

Awards

In recognition of her growing expertise and leadership, Ke was appointed Principal Investigator for a Youth General Project under the Shaanxi Provincial Department of Science and Technology in 2024. This honor underscores her capability to lead research on karst geothermal reservoirs. She has participated in multiple high-profile grants through the National Natural Science Foundation of China and regional geological exploration programs. Her presentations at global geothermal and environmental sustainability conferences, including the IUGG General Assembly and the ISCES forum, have earned widespread praise and solidified her presence as an emerging leader in geothermal science.

Publications

Among her noteworthy scientific contributions:

Ke, T.T., Xu, W., Yu, R.Y., Zhou, Y., Zhang, Y.G., 2025. Evaluation of geothermal resource potential based on spatial data integration models: case study of Xiong’an New Area, North China.

Ke, T.T., Huang, S.P., Xu, W., Tang, X.Y., Li, X.X., 2022. Evaluation of the multi-doublet performance in sandstone reservoirs using thermal-hydraulic modeling and economic analysis.

Ke, T.T., Huang, S.P., Xu, W., Li, X.X., 2021. Study on heat extraction performance of multiple-doublet system in Hot Sedimentary Aquifers: Case study from the Xianyang geothermal field, Northwest China.

Ke, T.T., Huang, S.P., Xu, W., Numerical simulation of geothermal well production and injection Development Model in Fengxi Area, Guanzhong Basin Quaternary Research

Xu, W., Li, Y., Zhou, L.M., Ke, T.T., et al., 2020. Lithospheric thermal regime under the Qinling Orogenic Belt and the Weihe Basin: A transect across the Yangtze and the North China cratons in central China.

Xu, W., Huang, S.P., Zhang, J., Zuo, Y.H., Zhou, Y.S., Ke, T.T., et al., 2021. Geothermal gradient and heat flow of the Erlian Basin and adjacent areas, Northern China: Geodynamic implication.

Xu, W., Tang, X.Y., Cheng, L.Y., Dong, Y., Zhang, Y.P., Ke, T.T. , et al., 2022. Heat Flow and Thermal Source of the Xi’an Depression, Weihe Basin, Central China. Frontiers in Earth Science

Conclusion

Tingting Ke exemplifies the dynamic fusion of academic rigor, field research, and strategic geothermal application. Her progression from student researcher to engineering lead has equipped her to tackle critical challenges in renewable energy. Her contributions to geothermal science—spanning simulation modeling, basin heat flow studies, and international knowledge exchange—position her as a transformative figure in China’s clean energy landscape. As an innovator grounded in data-driven methods and cross-disciplinary collaboration, she continues to push boundaries in geothermal system development and serves as a role model for emerging scientists in the field.

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

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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.

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

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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

Orcid

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.