WeonJae Kim | Carbon Capture Utilization and Storage | Best Researcher Award

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Prof. Dr. WeonJae Kim | Carbon Capture Utilization and Storage | Best Researcher Award

Senior Research Fellow at Korea Institute of Civil Engineering and Building Technology | China

Prof. Dr. WeonJae Kim is a distinguished environmental engineer whose pioneering research has significantly advanced sustainable water and wastewater treatment technologies. His work focuses on the regeneration and recovery of environmental resources through innovative approaches such as crystallization, mineral carbonation, and advanced oxidation processes, aiming to create practical and scalable solutions that contribute to global carbon neutrality and climate change mitigation. A key highlight of his research is the development of “water-based CCUS” technology, an original concept utilizing water to safely, permanently, and eco-friendly dispose of carbon dioxide, offering a breakthrough approach to achieving large-scale carbon reduction. Over his extensive career, Dr. Kim has authored numerous influential publications in international and domestic journals, covering subjects like nutrient recovery, greywater treatment, biogas purification, and aquatic environment enhancement. His prolific patent portfolio demonstrates his strong commitment to transforming scientific knowledge into applied innovations that enhance sustainability and industrial efficiency. Through collaborative, interdisciplinary projects, he has developed novel methods for phosphorus and nitrogen recovery, non-powered water circulation systems, and next-generation environmental purification processes. A respected academic and research leader, Prof. Dr. WeonJae Kim has presented his work at major international conferences and contributed to advancing the discourse on environmental protection and resource recovery. His excellence has been recognized with multiple national and institutional awards honoring his achievements in technological innovation, environmental research, and academic mentorship. Guided by a vision of integrating engineering principles with ecological balance, Prof. Dr. WeonJae Kim continues to drive research that safeguards water systems, reduces greenhouse gas emissions, and supports a sustainable future. His lifelong dedication to environmental technology, combined with his leadership in bridging research and practical application, has positioned him as a leading figure in global environmental science and an enduring contributor to the pursuit of cleaner and more resilient ecosystems.

Profile: Scopus

Featured Publications

Akter, J., Kim, W., Kim, I., & Lee, J. (2023). Real-time organic compound monitoring in advanced oxidation process (AOP) of anaerobic digestion effluent: Introduction of UV-VIS spectrum representative index by discrete Fourier transform.

Maghfiroh, M., Park, N., Chang, H., Lim, H., & Kim, W.* (2023). Ammonium removal and recovery from greywater using the combination of ion exchange and air stripping: The utilization of NaOH for the regeneration of natural zeolites.

Maghfiroh, M., Park, N. R., Chang, H. Y., Jung, J. H., Ahn, K. H., Lim, H. M., & Kim, W. J.* (2023). Ammonium removal and recovery using natural zeolites and air stripping technique for greywater treatment.

Ji, S.*, Kim, W., Han, S., Jeong, S., & Park, T. (2023). Stability enhancement of reformate-fueled, low-temperature solid oxide fuel cell with nickel thin-film anode by water bubbling.

Kang, J.-H., Kim, J., Namgung, H.-K., Kim, W., Yun, S.-L., & Song, J.* (2023). Effects of electric potential and organic loading on the removal of hydrogen sulfide emitted from wastewater sediments using a submerged electrochemical oxidation system.

Jinyuan Zhang | Oil and Gas Field Development Engineering | Best Researcher Award

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Mr. Jinyuan Zhang | Oil and Gas Field Development Engineering | Best Researcher Award

Researcher at Xi’an Shiyou University | China

Dr. Jinyuan Zhang is a distinguished researcher at Xi’an Shiyou University, recognized for his significant contributions to petroleum engineering and unconventional hydrocarbon development. His research focuses on shale oil reservoir characterization, volume fracturing simulation, and enhanced oil recovery, with groundbreaking applications in the Ordos Basin, one of China’s most prominent energy-producing regions. Through advanced numerical simulation and geomechanical analysis, he has provided valuable insights into the behavior of complex shale formations, fracture propagation mechanisms, and reservoir adaptability, contributing to improved field development strategies. Dr. Zhang has published multiple influential studies in international journals such as Processes, Scientific Reports, Energies, Journal of Physics: Conference Series, and Polymers, showcasing his ability to integrate theoretical understanding with practical engineering applications. His key publications, including “Numerical Simulation Study on Volume Fracturing of Shale Oil Reservoirs in Y Block of Ordos Basin” and “Kaiser Acoustic Emission Ground Stress Testing Study on Shale Oil Reservoirs,” demonstrate his capacity to bridge laboratory experimentation, data modeling, and field practice. In addition to his expertise in shale reservoir mechanics, his innovative research on polymer microspheres for plugging and profile control in enhanced oil recovery exemplifies his dedication to efficiency, sustainability, and environmental responsibility in petroleum production. Dr. Zhang’s interdisciplinary approach, combining geology, rock mechanics, and fluid dynamics, allows him to develop new evaluation methods for shale brittleness and optimize fracturing designs that increase recovery rates and reduce operational risks. His commitment to advancing clean and intelligent energy technologies aligns with global efforts toward sustainable resource development. Through his academic rigor, technical innovation, and vision for future energy systems, Dr. Zhang has established himself as a forward-thinking researcher whose contributions continue to influence the evolution of petroleum engineering and inspire emerging scholars dedicated to responsible and efficient energy exploration.

Profile: ORCID

Featured Publications

Zhang, J., Chen, J., Sun, Z., Xiong, J., Wang, H., Song, W., & Lei, J. (2025). Numerical simulation study on volume fracturing of shale oil reservoirs in Y block of Ordos Basin, China.

Zhang, J., Chen, J., Lei, J., Xiong, J., Nie, X., Gong, D., Ning, P., & Shi, R. (2025). Kaiser acoustic emission ground stress testing study on shale oil reservoir in Y block of Ordos Basin, China.

Zhang, J., Chen, J., Lei, J., Xiong, J., Nie, X., & Li, Z. (2024). Geological characteristics and volume fracturing adaptability of tight oil reservoirs in the Ordos Basin of China.

Zhang, J., Chen, J., Xiong, J., Nie, X., Gong, D., Li, Z., & Lei, J. (2024). A new method for evaluating the brittleness of shale oil reservoirs in Block Y of Ordos Basin of China.

Nie, X., Chen, J., Cao, Y., Zhang, J., Zhao, W., He, Y., Hou, Y., & Yuan, S. (2019). Investigation on plugging and profile control of polymer microspheres as a displacement fluid in enhanced oil recovery.

Zehra Gülten Yalçın | Green Corrosion Inhibitors | Best Research Article Award

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Assist. Prof. Dr. Zehra Gülten Yalçın | Green Corrosion Inhibitors | Best Research Article Award

Doctor Lecturer at Çankırı Karatekin University | Turkey

Dr. Zehra Gülten Yalçın is a Doctor Lecturer in the Department of Engineering, Faculty of Engineering, at Çankırı Karatekin University, specializing in Chemical Engineering. Her academic work focuses on energy systems, environmental and sustainable processes, and materials science and technologies, reflecting her commitment to innovation and sustainability within engineering disciplines. She has made significant contributions through her research on corrosion inhibition, recycled polymer materials, biogas efficiency, and the development of polyurethane-based composites incorporating industrial waste. Dr. Yalçın’s studies often integrate advanced thermodynamic, surface, and mechanical analyses, contributing to a deeper understanding of material behavior and environmental performance. Her research has been featured in reputable international journals such as Petroleum Science and Technology, Journal of Current Research in Engineering, Science and Technology (JoCREST), and the Black Sea Engineering and Science Journal. In addition to her publications, she has presented numerous papers at international conferences, addressing topics such as solar energy production, risk analysis in hazardous chemical processes, and waste management innovations. Dr. Yalçın’s interdisciplinary expertise also extends to the application of machine learning in chemical process optimization, advancing sustainable engineering practices through data-driven methodologies. Her scientific achievements have been recognized through academic incentive awards from Çankırı Karatekin University, underscoring her excellence in teaching, research, and innovation. With a strong dedication to the advancement of sustainable chemical technologies, Dr. Yalçın continues to contribute to the global scientific community through impactful research that bridges theory with industrial application. Her forward-thinking approach and integration of environmental awareness into chemical engineering make her a prominent academic voice in the pursuit of cleaner and more efficient technological solutions.

Profile: ORCID

Featured Publications

Hussein, M. Y., Yalçın, Z. G., Yaqoob, G. B., & Dağ, M. (2025). Investigation of the corrosion‐inhibition effect of Turkish coffee extract on L-80 carbon steel in 15% HCl: Thermodynamic and surface analyses.

Günay, K., & Yalçın, Z. G. (2025). Maximizing biogas yield in anaerobic digestion: A response surface methodology approach.

Dağ, M., Aydoğmuş, E., Arslanoğlu, H., Yalçin, Z. G., & Barlak, S. (2025). Development of polyurethane‐based composites with salt clay and industrial wastes as fillers: Corrosion, mechanical properties, and machine learning insights.

Dağ, M., Aydoğmuş, E., Arslanoğlu, H., & Yalçın, Z. G. (2025). Exploring role of polyester composites in biocomposites for advanced material technologies: A comprehensive review.

Arslan, S., Yalçın, Z. G., Dağ, M., & Akın, M. B. (2024). The role of carbon in lead-acid batteries: Applications, challenges, and future opportunities. Uluslararası Batı Karadeniz Mühendislik ve Fen Bilimleri Dergisi.

Pıçakçı, E., & Yalçın, Z. G. (2023). Effects of high level of lead (II) oxide (PbO) usage on accumulator and response surface method.

Dağ, M., Aydoğmuş, E., Yalçin, Z. G., & Arslanoğlu, H. (2023). Diatomite reinforced modified safflower oil-based epoxy biocomposite production: Optimization with RSM and assessment of outcomes by ANN.

Jialing Zou | Artificial Intelligence in Petroleum Engineering | Best Researcher Award

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Dr. Jialing Zou | Artificial Intelligence in Petroleum Engineering | Best Researcher Award

Lecturer at Southwest Petroleum University | China

Dr. Jialing Zou is a distinguished Lecturer at the School of Mechatronic Engineering, Southwest Petroleum University, recognized for her innovative contributions to intelligent sensing, data mining, and safety assessment within petroleum engineering. She holds a Ph.D. in Mechanical Engineering and focuses her research on developing intelligent early warning systems, smart fluid sensing, and real-time monitoring technologies to improve the safety and efficiency of complex drilling operations. Her scholarly pursuits combine data-driven intelligence with mechanical system optimization, advancing digital transformation and automation in the oil and gas industry. Dr. Zou has served as the principal investigator for several competitive research projects supported by major national and provincial funding agencies, including the National Natural Science Foundation of China, the Sichuan Provincial Science and Technology Department, and Southwest Petroleum University’s research initiatives. Her leadership in projects such as intelligent decision-making for digital geosteering and the development of online sensing methods for drilling fluid rheological parameters has significantly contributed to the field’s technological innovation. She has also played a key role in multiple national-level programs, including those under the National Key R&D Program of China, focusing on intelligent diagnosis and control technologies for petroleum exploration. Dr. Zou’s research has been widely published in high-impact journals 539 Citations by 460 documents 16 Documents h-index: 7 where her studies on advanced algorithms, fuzzy theory applications, and data-driven modeling have been highly regarded. Her interdisciplinary expertise bridges mechanical engineering, artificial intelligence, and safety science, positioning her as a leading emerging researcher in intelligent drilling and predictive safety systems. Through her academic excellence and commitment to innovation, Dr. Zou continues to advance knowledge, mentor young engineers, and promote the integration of intelligent technologies to enhance the sustainability and safety of petroleum engineering operations.

Profiles: Scopus | ORCID

Featured Publications

Yang, H., Liu, J., Yang, Z., Liang, H., Zhang, L., & Zou, J. (2023). Active control of the fluid pulse based on the FxLMS.

Liang, H., Xiong, J., Yang, Y., & Zou, J. (2023). Research on intelligent recognition technology in lithology based on multi-parameter fusion.

Liang, H., Xiong, J., Yang, Y., & Zou, J. (2023). Research on intelligent recognition technology in lithology based on multiparameter fusion of logging while drilling.

Liang, H., Zhang, W., Xu, W., Yang, H., & Zou, J. (2023). Research on rheological parameters correction method based on pipe viscometer.

Zhang, H., Chen, Q., Ni, P., Liang, H., Mao, M., & Zou, J. (2022). Study on the intelligent identification method of formation lithology by element and gamma spectrum.

Yang, H., Zhang, L., Li, L., Liang, H., & Zou, J. (2021). Error analysis and accuracy calibration method of U-tube Coriolis mass flowmeter under pulsating flow.

Mingxuan Gu | Carbon Capture Utilization and Storage | Best Carbon Capture and Storage Award

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Dr. Mingxuan Gu | Carbon Capture Utilization and Storage | Best Carbon Capture and Storage Award

Assistant Research Fellow at Chengdu University of Technology | China

Dr. Mingxuan Gu is an accomplished Assistant Research Fellow specializing in the geological storage of carbon dioxide at Huairou National Laboratory, Beijing. He holds a Ph.D. in Geological Resources and Geological Engineering and a strong academic foundation in exploration technology and petroleum engineering. His research focuses on multidimensional nuclear magnetic resonance (NMR) logging, reservoir evaluation, and the integration of artificial intelligence with physical meaning constraints for advanced subsurface analysis. Dr. Gu’s innovative contributions have significantly advanced the understanding and quantitative evaluation of fluid components in complex geological formations, particularly through the use of 2D and multidimensional NMR spectra. His scholarly work has been featured in leading international journals such as Marine and Petroleum Geology, Journal of Petroleum Science and Engineering, Energy & Fuels, and Computers and Geosciences. He has also presented his findings at prestigious global conferences, reflecting his engagement with the international scientific community. Dr. Gu has authored 12 research documents, which have collectively received 84 citations across 55 citing documents, demonstrating the growing recognition and impact of his work. He holds an h-index of 6, reflecting the quality and influence of his scholarly contributions in the field. His research emphasizes practical applications in carbon storage and reservoir characterization, contributing to cleaner and more efficient energy solutions. Through his dedication to advancing NMR-based methodologies and his commitment to sustainable subsurface exploration, Dr. Gu continues to establish himself as a leading researcher in the intersection of artificial intelligence, petrophysics, and carbon sequestration.

Profile: Scopus

Featured Publications

Gu, M., Xie, R., & Jin, G. (2021). A machine-learning based quantitative evaluation of the fluid components on T2-D spectrum.

Gu, M., Xie, R., & Xiao, L. (2021). A novel method for NMR data denoising based on discrete cosine transform and variable length windows.

Gu, M., Xie, R., Jin, G., et al. (2021). A hybrid compression method for the NMR data based on Window Averaging and Discrete Cosine Transform.

Gu, M., Xie, R., Jin, G., et al. (2021). Quantitative evaluation for fluid components on 2D NMR spectrum using Blind Source Separation.

Gu, M., Xie, R., & Xiao, L. (2021). Two-step inversion method for NMR relaxometry data using norm smoothing and artificial fish swarm algorithm.

Karol Kyzioł | Materials Engineering | Best Researcher Award

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Assoc. Prof. Dr. Karol Kyzioł | Materials Engineering | Best Researcher Award

Head of the Department at AGH University of Krakow | Poland

Assoc. Prof. Karol Kyzioł, D.Sc., Ph.D., Eng., is a distinguished academic at the AGH University of Krakow, where he serves as Head of the Department of Physical Chemistry and Modelling and leads the Laboratory of Vapour Deposited Materials. He earned his Master’s, Ph.D., and Habilitation in Materials Engineering from the same institution, specializing in thin layer technologies and advanced surface modification techniques. His professional career reflects a steady progression from assistant to associate professor, underscoring his commitment to academic excellence and scientific innovation. Assoc. Prof. Karol Kyzioł research focuses on the synthesis and physicochemical characterization of coatings and gradient materials using advanced PVD, CVD, and plasma-assisted methods. His expertise extends to developing surface technologies that enhance mechanical, tribological, and corrosion properties of lightweight alloys and biomaterials. He has led multiple national and European research projects on bioactive coatings and functionalized metallic surfaces and has co-authored over 120 scientific papers, several book chapters, and two patents. He has led multiple national and European research projects on bioactive coatings and functionalized metallic surfaces and has co-authored over 40 scientific documents, which have garnered 525 citations from 412 publications, achieving an h-index of 14. A respected reviewer and member of various scientific and academic committees, he actively collaborates with both academic institutions and industry partners to translate research into technological applications. His numerous awards, including Rector’s distinctions and international invention medals, reflect his significant contributions to materials engineering and surface science. Through his leadership and continued research, Assoc. Prof. Karol Kyzioł advances the field of materials science with a focus on sustainable and functional material design for future engineering applications.

Profiles: Scopus | ORCID

Featured Publications

Kottfer, D., Kyzioł, K., Kaňuchová, M., Kianicová, M., Žitňan, M., Durda, E., Trebuňová, M., Medveď, D., & Kľučiar, P. (2025). The effect of HiPIMS pulse conditions on the microstructural, mechanical, and tribological properties of TiB₂ coatings on steel substrates.

Kyzioł, K., Szymański, W., Kottfer, D., Kyzioł, A., Kaczmarek, Ł., & Kleszcz, K. (2024). Mechanical properties and biocompatibility of multilayer systems based on amorphous SiN:H/SiCN:H layers on Ti6Al7Nb titanium alloy.

Trebuňová, M., Kottfer, D., Kyzioł, K., Kaňuchová, M., Medveď, D., Džunda, R., Kianicová, M., Rusinko, L., Breznická, A., & Csatáryová, M. (2023). The WC and CrC coatings deposited from carbonyls using PE CVD method—Structure and properties.

Kyzioł, K., Kollbek, K., Jabłoński, P., & Mazur, M. (2022). Morphology and topography of co-sputtered Cu, Cr, Ti-based layers.

Januś, M., Kyzioł, K., Kluska, S., Jastrzębski, W., Adamczyk, A., Grzesik, Z., Zimowski, S., Potoczek, M., & Brylewski, T. (2022). Plasmochemical modification of Crofer 22APU for intermediate-temperature solid oxide fuel cell interconnects using RF PA CVD method.

Pengfei Wang | Environment | Best Researcher Award

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Dr. Pengfei Wang | Environment | Best Researcher Award

Research Assistant Professor Southern University of Science and Technology | China

Dr. Pengfei Wang is a Research Assistant Professor at the Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen, China, where he has been actively engaged in advanced research on energy and environmental engineering since 2021. He obtained his Ph.D. in Energy and Power Engineering from Dalian University of Technology in 2019, under the supervision of Professor Yongchen Song, and completed a visiting research program at the University of Western Australia’s Energy Research Centre in 2017. Prior to his current role, Dr. Wang served as a Postdoctoral Researcher in the Department of Physics at SUSTech, working with Chair Professor Yusheng Zhao on multiphase hydrate systems and neutron technology applications. His research spans natural gas hydrate exploitation, hydrate-based hydrogen storage, and offshore CO₂ geological sequestration, focusing on the thermodynamics, kinetics, and multiphase flow behavior in porous media. Dr. Wang has made notable contributions to understanding the interaction between hydrate structures and nanoconfinement effects for energy conversion and carbon capture applications. He has published 82 SCI-indexed papers, including several in high-impact journals such as Chemical Reviews, Chemical Engineering Journal, and Renewable and Sustainable Energy Reviews, along with holding 8 authorized invention patents and 1 software copyright. His work has been cited 1,829 times by 1,403 documents, reflecting an h-index of 24, underscoring his academic impact and global recognition within the field. He has been honored with the Shenzhen Overseas High-Level Talent “Peacock Plan” Award, and received multiple academic distinctions including the Excellent Doctoral Dissertation of Liaoning Province and the Wiley China Annual Open Author Award. Dr. Wang’s ongoing research aims to develop sustainable hydrate technologies for energy transition and carbon neutrality strategies in offshore and industrial contexts. With his strong interdisciplinary background and innovative approach, he continues to advance the frontiers of energy storage, climate engineering, and environmental sustainability.

Profile: Scopus | ORCID

Featured Publications

Wang, P., Chen, Y., Teng, Y., An, S., Li, Y., Han, M., Yuan, B., Shen, S., Chen, B., Han, S., et al. (2024). A comprehensive review of hydrogen purification using a hydrate-based method.

Yang, M., Wu, M., Yang, Z., Wang, P., Chen, B., & Song, Y. (2024). Behaviors of hydrate cap formation via CO₂–H₂O collaborative injection: Applying to secure marine carbon storage.

Yuan, B., Han, M., Li, Y., Wang, P., Xu, J., Yin, W., Kang, L., Tong, X., Han, S., Zhu, J., et al. (2024). Effect of organic matter with various carbon chain lengths on methane hydrate formation: Kinetic, thermodynamic, and microstructural studies.

Wang, P., Li, Y., Sun, N., Han, S., Wang, X., Su, Q., Li, Y., He, J., Yu, X., Du, S., et al. (2024). Hydrate technologies for CO₂ capture and sequestration: Status and perspectives.

Teng, Y., Li, Y., Huang, T., Chen, Y., Wang, P., Wang, B., An, S., Li, Y., Han, S., Zhu, J., et al. (2024). Hydrogen purification via hydrate-based methods: Insights into H₂–CO₂–CO hydrate structures, thermodynamics, and kinetics.

Moshu Qian | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

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Prof. Moshu Qian | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award

Full Professor at Nanjing Tech University | China

Prof. Moshu Qian, Member of IEEE, is a distinguished Full Professor at Nanjing Tech University, China, recognized for her extensive contributions to automation, intelligent systems, and control engineering. She earned her Ph.D. from Nanjing University of Aeronautics and Astronautics in 2016 and subsequently served as a visiting scholar at the University of Kent, United Kingdom, from 2019 to 2020, where she deepened her expertise in distributed control and adaptive systems. Throughout her academic career, Professor Qian has authored over 75 documents, including more than 50 peer-reviewed journal publications indexed in SCI and Scopus, and has contributed to a significant body of work that has garnered 710 citations by 624 documents, reflecting her strong research influence and visibility within the global academic community. Her current h-index is 12, attesting to the lasting impact and citation quality of her scholarly output. She has also published one academic book (ISBN: 978-7-118-11911-6) and holds 31 invention patents, many of which are applied within the industrial automation and petrochemical sectors. Professor Qian has successfully led fifteen completed and ongoing research projects and participated in four consultancy or industry-based collaborations, including the design of intelligent analysis software for lean product quality control supported by Yangzi Petrochemical in Nanjing, China. Her notable scientific achievements have earned her the First Prize of the Science and Technology Progress Award from the Chinese Society of Automation in 2023 and the Second Prize of the Science and Technology Progress Award from the Chinese Society of Instrumentation in 2024. Her research interests encompass distributed adaptive control, UAV formation systems, actuator fault-tolerant mechanisms, and smart industrial automation. Professor Qian’s scholarly dedication, innovative research, and leadership in cross-disciplinary collaborations continue to advance automation science and engineering applications, contributing to the development of intelligent, data-driven, and sustainable industrial systems that shape the future of automation and petroleum-related technologies.

Profile: Scopus | ORCID

Featured Publications

Gao, Z., Han, B., Qian, M., & Zhao, J. (2018). Active fault tolerant control for flexible spacecraft with sensor faults using adaptive integral sliding mode.

Li, J., Gao, Z., & Qian, M. (2019). Active fault tolerant control design for satellite attitude systems with mixed actuator faults.

Zhang, X., Gao, Z., Qian, M., & Bai, L. (2019). Adaptive fault-tolerant control for rigid spacecraft attitude system using fractional order sliding mode.

Bai, L., Gao, Z., Qian, M., & Zhang, X. (2019). Sliding mode observer-based FTC strategy design for satellite attitude systems with sensor fault.

Zhang, X., Gao, Z., Qian, M., & Zhou, Z. (2018). Active fault tolerant attitude control for rigid spacecraft with actuator LOE fault and saturation constraint.

Sibel Dikmen Kucuk | Materials Science | Best Researcher Award

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Dr. Sibel Dikmen Kucuk | Materials Science | Best Researcher Award

Dr. Researcher at Düzce University | Turkey

Dr. Sibel Dikmen Küçük is a Lecturer at Düzce University with extensive academic and industrial experience in cosmetic science and composite material technologies. She holds a Ph.D. in Composite Material Technologies (2024) and an M.Sc. in the same field (2018) from Düzce University, following a B.Sc. in Chemical Engineering from Hacettepe University. Her doctoral research focused on developing natural nanoselulose-based hydrating and stain-removing composite facial masks, reflecting her commitment to integrating sustainable materials into cosmetic formulations. Before her academic appointment in 2017, she spent several years managing project quality for sealing profiles in the automotive sector, gaining solid expertise in polymer processing and industrial standards. Dr. Sibel Dikmen Küçük research centers on the formulation of biopolymer-based and nanocellulose-reinforced composites for cosmetic and engineering applications, with a special emphasis on natural preservatives, antioxidant-rich serums, and functional skin and hair care systems. She has led and contributed to numerous national research projects supported by TÜBİTAK and higher education institutions, including innovations in bio-based rubber, activated carbon production from agricultural waste, and new-generation liposomal cosmetic products. Her publications in international journals such as BioResources, South African Journal of Botany, and the Journal of Rubber Research highlight her contributions to biopolymer modification, UV stabilization, and green material integration. Additionally, she is the inventor and patent holder of a bacterial nanocellulose–based facial serum and actively teaches courses on cosmetic formulation design and quality control. Through continuous professional development and participation in advanced certification programs across Europe, she bridges chemical engineering and cosmetic technology, advancing sustainable innovation in personal care science. Her career reflects a dedication to transforming natural materials into high-performance cosmetic and polymeric systems that align with global sustainability goals.

Profile: ORCID

Featured Publications

Dikmen Küçük, S. (2025). Development and characterization of Ethylene Propylene Diene Monomer (EPDM) rubber reinforced by green material lignin.

Kucuk, S. D., Groso, A., Collet, G., Daniellou, R., & Caliskan, U. K. (2024). Effect of bacterial nanocellulose and plant-containing facial serum on hyperpigmentation in in-vitro conditions.

Dikmen Küçük, S., & Uğraş, H. (2024). Chemical modification of carbon black for coloring.

Kucuk, S. D., Arslan, R., Candan, Z., Tozluoglu, A., Karacay, E., & Ugras, H. İ. (2022, October 5). Kağıt endüstrisinde bor bileşiklerinin kullanımının araştırılması.

Dikmen Küçük, S., Tozluoğlu, A., Güner, Y., Arslan, R., & Sertkaya, S. (2022). Nano-fibrillenmiş selüloz / EPDM kompozitlerin mekanik, reolojik ve yaşlanma özellikleri.

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

Published on by Petroleum Engineering

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.