Abirmoy Ghosh | Petroleum Engineering | Best Researcher Award

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Mr. Abirmoy Ghosh | Petroleum Engineering | Best Researcher Award

Manager at INDIAN OIL CORPORATION LIMITED PANIPAT REFINERY, India

Abirmoy Ghosh is a dynamic and results-oriented professional currently serving as Manager at the Indian Oil Corporation Limited (IOCL), Panipat Refinery. With a strong foundation in mechanical engineering and over nine years of experience in refinery operations and R&D, he has consistently demonstrated excellence in mechanical design, engineering, and stress analysis. Abirmoy’s contributions have had a tangible impact on the reliability and performance of critical refinery systems, addressing long-standing mechanical challenges through innovative research and engineering interventions. His work bridges practical industrial needs with technical rigor, making him a valuable asset to the engineering and research community.

Profile

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Education

Abirmoy holds a Bachelor of Technology degree in Mechanical Engineering and a Master of Technology degree in Applied Mechanics, both from the prestigious Indian Institute of Technology (IIT) Delhi. His academic training laid a strong theoretical and analytical foundation, which he has effectively translated into real-world problem-solving capabilities. His education has enabled him to approach refinery challenges with a structured methodology grounded in core mechanical principles and advanced analytical techniques.

Experience

Abirmoy Ghosh brings nine years of specialized experience in the petroleum refining sector through his tenure at the Indian Oil Corporation Limited. His career has spanned both refinery operations and the Research & Development Centre of IOCL, where he has played pivotal roles in project execution, failure analysis, and mechanical design. He has been involved in troubleshooting, upgrading, and maintaining critical refinery components across multiple IOCL sites. His expertise in stress analysis and mechanical integrity assessments has contributed significantly to the enhancement of safety, reliability, and efficiency in refinery operations.

Research Interest

Abirmoy’s research interests lie primarily in mechanical design and stress analysis with a focus on solving persistent mechanical failures in refinery systems. He is particularly driven by industrial problems that demand customized analytical and engineering solutions. His recent work on improving the reliability of expansion joints in the reactor overhead lines of Fluidized Catalytic Cracking (FCC) units exemplifies his approach to research—targeting chronic issues with precision analysis, solution engineering, and practical implementation. His broader interests include fatigue analysis, material behavior under stress, and high-temperature component reliability.

Award

In recognition of his pioneering work in addressing a long-pending reliability issue in a critical refinery system, Abirmoy Ghosh is a strong contender for the Best Researcher Award. His innovative contributions to mechanical failure analysis and design optimization have delivered significant operational improvements, directly impacting plant reliability and safety. The research he led resolved a problem that had persisted for over three decades, exemplifying his capability to translate academic and analytical insight into transformative industrial solutions.

Publication

Abirmoy has one notable journal publication to his credit.

“Failure Analysis and Reliability Improvement of Expansion Joint in FCC Reactor Overhead Line of Petroleum Refinery”, Journal of Failure Analysis and Prevention, Springer, 2025. Cited by 4 articles to date.

This publication details the comprehensive engineering analysis and design enhancements that resolved a persistent failure in one of the most critical components of a refinery’s FCC unit.

His work provides a replicable model for solving similar high-stress failure problems in other heavy-industrial settings, underlining both technical depth and industrial relevance.

Conclusion

Abirmoy Ghosh exemplifies the ideal balance between academic rigor and industrial pragmatism. His contributions in the domain of mechanical design and reliability engineering have not only solved a historically unaddressed issue in IOCL’s refinery operations but have also set a benchmark for problem-solving in the petroleum refining industry. His deep technical insight, backed by strong educational credentials and a track record of impactful implementation, makes him an outstanding candidate for the Best Researcher Award. Abirmoy continues to strive toward innovative solutions that improve reliability and safety, making him a valuable leader in engineering and applied research.

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

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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.

Massine Bouchakour | Petroleum Geology | Best Researcher Award

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Dr. Massine Bouchakour | Petroleum Geology | Best Researcher Award

PhD at Southwest Petroleum University, China

Massine Bouchakour is a highly driven postdoctoral researcher in marine geology currently based at Southwest Petroleum University in China. With a multidisciplinary and international approach, his research focuses on deep-marine sedimentary systems, seismic interpretation, and reservoir connectivity in structurally complex geological settings. Having been trained across several institutions and mentored by global experts in geology, Bouchakour combines advanced scientific techniques with a passion for knowledge dissemination and collaborative research. His academic journey reflects not only deep technical competence but also an ongoing commitment to applied geoscience, interdisciplinary research, and academic mentorship.

Profile

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Education

Massine Bouchakour began his formal education in sedimentology with an MSc (Hons) at the University of Sciences and Technology Houari-Boumédiène (USTHB) in Algeria, focusing on Paleozoic stratigraphy and sedimentary processes in the Ougarta Basin. His thesis, awarded first-class honors, laid the groundwork for his interest in sequence stratigraphy and basin evolution. He later pursued a PhD at Southwest Petroleum University (SWPU) in China, where he specialized in seismic interpretation of submarine channels and their interaction with tectonic structures. Supported by the Sichuan Provincial Government and the National Natural Science Foundation of China (NSFC), his doctoral research explored geomorphological controls and depositional patterns in the Niger Delta. His ongoing postdoctoral work at SWPU further extends this expertise into global deep-marine systems.

Experience

With over a decade of academic and applied research experience, Bouchakour has played key roles in several international and industry-sponsored projects. His expertise spans seismic geomorphology, stratigraphy, and reservoir characterization. During his postdoctoral tenure, he has collaborated with institutions in Portugal, Romania, and the UK, contributing to efforts funded by CNOOC International and SINOPEC. He has also been instrumental in supervising PhD students and mentoring laboratory research in seismic and borehole data analysis. His career is marked by leadership in developing predictive models for deep-marine sand distribution and contributing to research initiatives such as the Deep-marine Sedimentary Architecture Knowledge Store. He is actively involved in scientific communication, presenting at major conferences, and publishing in top-tier geology journals.

Research Interests

Massine Bouchakour’s research interests center on understanding the architecture and evolution of deep-water depositional systems, particularly in tectonically active margins. He investigates sedimentary processes, seismic facies, sequence stratigraphy, and reservoir sand connectivity using multi-scale data, including 3D seismic surveys and core analysis. His work emphasizes the role of structural deformation in influencing sediment routing and accumulation, as well as the implications for hydrocarbon exploration and offshore carbon storage. He is equally invested in seismic attribute interpretation, field-outcrop integration, and the development of novel geological models to predict subsurface behavior and optimize production well designs.

Awards and Grants

Throughout his career, Bouchakour has earned significant recognition through competitive academic and industrial funding. These include the Chengdu Postdoctoral Research Station grant (2023) and a major NSFC-funded project (2020) supporting his PhD work. He also received the SWPU PhD scholarship with full tuition and accommodation support. In addition, his contributions to industrial research have been recognized in projects sponsored by CNOOC and SINOPEC, where he supported reservoir modeling, structural analysis, and seismic interpretation. Notably, his 2022 paper in Marine and Petroleum Geology was ranked among the top ten downloaded papers by SSRN in the field of marine sediments.

Publications

Bouchakour has authored impactful publications across international peer-reviewed journals. His 2025 paper in Basin Research, titled “Kinematics of submarine channels in response to bank failures,” provides insights into slope instability effects on channel migration.

His 2024 article in Marine and Petroleum Geology, “Compartmentalization of submarine channel splays controlled by growth faults and mud diapir,” explores fault-controlled sediment distribution. Another 2023 Basin Research study investigates “Lateral migration and channel bend morphology around growing folds” in the Niger Delta.

His 2022 work in Marine and Petroleum Geology, “Evolution of submarine channel morphology in intra-slope mini-basins,” based on 3D seismic data, has been widely cited for its methodological rigor.

His collaboration in a 2025 Marine and Petroleum Geology paper, “Tectono-stratigraphic evolution of multiphase rifts,” and two co-authored 2024–2025 stratigraphy-focused publications in Journal of Palaeogeography and Oil and Gas Geology have further solidified his status as a respected geoscientist.

These works have been cited in numerous geological modeling and sedimentology studies globally.

Conclusion

Massine Bouchakour represents a new generation of geoscientists whose global experience, technical versatility, and interdisciplinary insight position him as a leader in marine sedimentology and subsurface geological research. Through his ongoing commitment to applied geoscience, teaching, and international collaboration, he continues to make meaningful contributions to both academic knowledge and industry practice. His research outputs not only enrich scientific understanding but also provide practical frameworks for addressing critical challenges in energy exploration and environmental sustainability.