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.

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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.

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

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

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

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

Profile

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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.

Bawoke Mekuye Getnet | Petroleum Engineering | Best Researcher Award

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Mr. Bawoke Mekuye Getnet | Petroleum Engineering | Best Researcher Award

Researcher and Lecturer at Mekdela Amba University, Ethiopia

Bawoke Mekuye Getnet is a dedicated physicist and academic with substantial experience in both secondary and higher education, coupled with a growing research profile in nanomaterials and computational condensed matter physics. His academic journey has been defined by a deep commitment to enhancing scientific understanding and innovation in Ethiopia. As a lecturer and coordinator at Mekdela Amba University, he plays a pivotal role in shaping the academic and research landscape of the institution. His work, marked by both theoretical and computational depth, has contributed meaningfully to the study of optical properties and magnetic behavior in nanomaterials and semiconductors.

Profile

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Education

Bawoke Mekuye began his academic journey in physics at Dilla University, where he earned his Bachelor of Science in 2013. Following his passion for deeper scientific inquiry, he pursued a Master of Science degree at Debre Markos University, completing it in 2019 with a focus on applied and theoretical physics. His academic background has provided him with a strong foundation in computational modeling and materials science, which he has skillfully applied in both research and teaching.

Experience

Starting his career as a physics teacher at Debre Work Secondary and Preparatory School in 2013, Bawoke Mekuye developed a strong grounding in pedagogy and science communication. In 2020, he transitioned into higher education as a lecturer at Mekdela Amba University, where he currently teaches undergraduate and postgraduate students. Since 2023, he has also served as the Coordinator for Undergraduate, Postgraduate, and Continuing Education Programs in the College of Natural and Computational Sciences. In this role, he has been instrumental in curriculum development and academic program management. His experience extends to teacher training and professional development, having conducted multiple training sessions for educators and students.

Research Interest

Bawoke Mekuye’s research interests lie at the intersection of nanotechnology, materials science, and condensed matter physics. He focuses primarily on the optical and magnetic properties of nanomaterials, with specific attention to the effects of size, doping, and external fields on semiconductor behavior. His theoretical and computational investigations explore advanced materials such as diluted magnetic semiconductors, silver and gold nanoparticles, and emerging energy-related nanostructures. Through his work, he aims to contribute to advancements in high-performance materials for electronics, photonics, and energy storage systems.

Awards and Recognition

Throughout his academic and professional career, Bawoke Mekuye has received recognition for his commitment to science and education. He was honored by Mekdela Amba University for his seminar presentation on nanomaterials, where he effectively communicated complex concepts regarding synthesis, classification, and application of nanostructures. Additionally, he has been active as a reviewer for renowned scientific journals including those published by IOP, Elsevier, and Springer Nature, further reflecting his growing standing in the scientific community.

Publications

Bawoke Mekuye has authored and co-authored multiple peer-reviewed publications in prominent journals, reflecting his expertise in computational physics and nanomaterials. Among his most cited works are:

Mekuye B, Abera B. “Nanomaterials: An overview of synthesis, classification, characterization, and applications.” Nano Select, 2023.

Mekuye B. “The Impact of Size on the Optical Properties of Silver Nanoparticles Based on Dielectric Function.” IntechOpen, 2023.

Mekuye B, Höfer R, Mebratie G. “Computational Study of the Effect of the Size-Dependent Dielectric Functions of Gold Nanomaterials on Optical Properties.” Advances in Condensed Matter Physics, 2024.

Mekuye B, Atnafu D, et al. “Computational investigation of high Curie temperature in iron‐doped GaSb.” Nano Select, 2024.

Mekuye B, Zerihun G. “Theoretical study on the effects of Mn ion doping and magnetic field in (In, Mn)As.” Results in Physics, 2024.

Mekuye B, Höfer R, Abera B. “Nanomaterials: Terms, Definition and Classification.” Elsevier, 2024.

Mekuye B, Mebratie G, et al. “Energy: An Overview of Type, Form, Storage, Advantages, Efficiency, and Their Impact.” Energy Science & Engineering, 2024.

These publications have collectively gained citations from numerous researchers exploring nanostructured materials, semiconductor physics, and applied energy systems.

Conclusion

Bawoke Mekuye Getnet stands out as a rising academic whose contributions span both education and scientific research. His dedication to teaching, mentoring, and academic coordination complements his research excellence in the field of nanomaterials and theoretical physics. With his active engagement in scholarly communication, peer review, and training initiatives, he continues to foster scientific innovation and educational excellence in Ethiopia and beyond. His career trajectory reflects not only a deep passion for physics but also a forward-looking vision for the transformative role of science in society.

Ashutosh Sharma | Artificial Lift Systems | Best Researcher Award

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Dr. Ashutosh Sharma | Artificial Lift Systems | Best Researcher Award

Graduate Research Assistant at University of OKlahoma, United States

Ashutosh Sharma is an experienced doctoral candidate in Petroleum Engineering with a solid foundation in data science and energy systems. He specializes in applying advanced machine learning techniques to optimize drilling operations and subsurface analysis. With a practical industry background and academic expertise, Ashutosh has contributed to real-time drilling efficiency, rock-bit interaction studies, and predictive modeling for petrophysical properties. His multidisciplinary approach bridges traditional petroleum engineering practices with modern data-driven solutions, making him a well-rounded professional prepared to address the evolving challenges of the energy sector.

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Education

Ashutosh is pursuing a Ph.D. in Petroleum Engineering at the University of Oklahoma with a perfect GPA of 4.0, focusing his dissertation on incorporating rock behavior into real-time drilling analysis. Complementing this, he is also earning an M.S. in Data Science & Analytics from Georgia Institute of Technology, maintaining a GPA of 3.9. He holds a prior M.S. in Petroleum Engineering from the University of Oklahoma, where he researched centrifugal packer-type downhole separators. His academic foundation was established with a B.S. in Petroleum Engineering from the Maharashtra Institute of Technology in India, where his capstone project centered on performance modeling and optimization in undersaturated oil reservoirs.

Experience

Ashutosh’s diverse work experience spans both academic research and hands-on industry roles. Most recently, he interned at Pioneer Natural Resources (now under ExxonMobil), where he developed a digital framework for drill string vibration modeling using surface and downhole data from 18 wells in the Midland Basin. Prior to that, he interned at Ensign Drilling, focusing on real-time stick-slip vibration detection using machine learning. Since 2020, he has served as a Graduate Research Assistant at the University of Oklahoma, contributing to DOE-funded projects on rock-bit interaction, real-time drilling efficiency modeling, and petrophysical parameter prediction at the bit. He also brings industry experience from Raeon Energy Services LLP, where he worked in well intervention design, site operations, and bid proposal drafting. Earlier, during an internship at NOV, he streamlined data systems and tools for drill pipe evaluation.

Research Interest

Ashutosh’s research interests lie at the intersection of petroleum engineering and data analytics, focusing on real-time drilling analysis, rock-bit interaction modeling, machine learning applications in drilling optimization, and subsurface prediction. He is especially driven by the application of data-driven approaches to enhance drilling safety, efficiency, and reservoir characterization. His work seeks to enable predictive decision-making at the rig floor, transform vibration analysis methodologies, and innovate in the field of downhole separation and petrophysical log projection.

Award

Ashutosh has been recognized for both his academic achievements and professional contributions. He received the SPE General Scholarship in the Ph.D. category, sponsored by the SPE OKC chapter, for two consecutive years (2022 and 2023). As an active participant in student competitions, he won three 1st place titles as part of the University of Oklahoma’s Petrobowl team from 2017 to 2021. He also served as Vice-President of the OU SPWLA student chapter during 2019–2020. Notably, he received a Letter of Appreciation from a project head for high-quality services rendered in the Krishna Godavari and Cambay basins. His early achievements include winning 1st prize at the MIT SPE AIIIP Case Study Challenge, sponsored by Schlumberger.

Publication

Ashutosh’s scholarly work reflects a consistent focus on machine learning applications in petroleum systems. His notable journal articles include:

Evaluating PDC bit-rock interaction models to investigate torsional vibrations in Geothermal drilling (Geothermics, Elsevier, 2024; cited by 18 articles),

Real-time lithology prediction at the bit using machine learning (Geosciences, MDPI, 2024; cited by 9 articles),

Predicting separation efficiency of a downhole separator using machine learning (Energies, MDPI, 2024; cited by 7 articles).
He has also presented several conference papers, including at URTEC Buenos Aires (2023), SPE Offshore Europe Aberdeen (2023), SPE OKC Symposium (2023), US Rock Mechanics Symposium (2021), and the SPE Artificial Lift Conference-Americas (2020). His MS thesis was focused on the experimental evaluation of a centrifugal packer-type downhole separator.

Conclusion

Ashutosh Sharma’s multidisciplinary skill set, merging petroleum engineering fundamentals with cutting-edge data analytics, positions him uniquely in the energy industry. Through his academic rigor, research innovation, and industry collaborations, he has demonstrated a commitment to advancing efficient, safe, and sustainable drilling practices. As he completes his Ph.D. and dual Master’s degrees, Ashutosh is poised to contribute meaningfully to organizations leading the energy transition and digital transformation in upstream oil and gas operations.

Avishkar Bhoskar | Sustainability in Oil and Gas | Best Researcher Award

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Dr. Avishkar Bhoskar | Sustainability in Oil and Gas | Best Researcher Award

Application Scientist at Asian Lab Grown Diamonds, India.

Avishkar Ramchandra Bhoskar is a dedicated and accomplished Application Scientist and Mechanical Engineer with a profound expertise in material characterization, advanced metallurgical studies, and wear-resistant coatings. With a Ph.D. in Mechanical Engineering from Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, he has contributed significantly to the field of material science, focusing on metallurgical failure analysis, CVD machine design, and welding metallurgy. His research has yielded notable advancements in wear resistance and hardness improvements of metallic coatings. He currently applies his extensive research background in his role at Asian Lab Grown Diamonds, where he focuses on the development of synthetic diamonds for industrial applications.

Profile

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Education

Avishkar Bhoskar pursued his Ph.D. in Mechanical Engineering at SVNIT, Surat, from 2018 to 2023, achieving a CGPA of 8.58. His doctoral research, titled “Metallurgical Studies on Cobalt-based Stellite 6 Coating Deposited on SS316L Substrate,” explored metallurgical properties using advanced characterization techniques like SEM, EDS, and XRD. He previously obtained his M.Tech in Automobile Engineering from Rajarambapu Institute of Technology (2015-2017), where he conducted research on the mathematical modeling and analysis of bevel gears. His undergraduate degree in Mechanical Engineering from M.G.M. College of Engineering, Nanded (2011-2015), focused on the design and manufacturing of a foot-operated pesticide sprayer, demonstrating his early interest in applied mechanical engineering.

Experience

Currently serving as an Application Scientist at Asian Lab Grown Diamonds, Avishkar is engaged in research on single-crystal and polycrystalline diamonds for industrial applications. His role involves optimizing diamond growth processes and developing CVD machines for advanced material synthesis. Prior to this, he spent five years as a Research Scholar at SVNIT, Surat, investigating metallurgical transformations in cladded surfaces and wear-resistant coatings. His industry experience includes a research internship at Ghatage Patil Industries Ltd., where he worked on the design and analysis of alloy steel bevel gears, and a technical internship at Mercedes-Benz, Pune, where he gained hands-on experience in vehicle maintenance and mechanical system optimization.

Research Interest

Avishkar research interests encompass advanced material processing, metallurgical characterization, welding metallurgy, and wear-resistant coatings. His expertise extends to powder-fed plasma transferred arc welding (PTAW), failure analysis of hardfaced components, and the application of high-temperature metallurgical coatings. He is particularly interested in exploring novel metallurgical architectures for industrial applications, with a focus on enhancing mechanical properties and durability through microstructural optimization.

Awards and Achievements

Throughout his academic and professional journey, Avishkar has received several prestigious accolades. He was awarded TEQIP funding for metallurgical sample testing and was a recipient of the Ministry of Education Scholarship at SVNIT Surat (2018–2024) and RIT Rajaramnagar (2015–2017). He played a key role in establishing the E-Yantra Lab at DPCOE, Pune, in collaboration with IIT Bombay, and successfully qualified the GATE 2015 exam in Mechanical Engineering. His contributions to material science and engineering have been recognized through multiple journal publications and international conference presentations.

Selected Publications

Bhoskar, A., & Kalyankar, V. (2024). Effect of powder feed rate on the structure and properties of plasma deposited Stellite 6 cladding on SS316L stainless steel substrate. Metal Science and Heat Treatment, cited by 7 articles.

Bhoskar, A., Kalyankar, V., & Deshmukh, D. (2024). Implications of FCC and HCP cobalt phases on wear performance of weld deposited cobalt-based coating. Results in Surfaces and Interfaces, cited by 5 articles.

Bhoskar, A., Singh, K., & Kalyankar, V. (2025). On the impact of stack patterns on the microstructure and wear performance of Colmonoy 6 coatings deposited on SS 304 via PTAW. Results in Surfaces and Interfaces, cited by 4 articles.

Bhoskar, A., Kalyankar, V., & Deshmukh, D. (2023). Metallurgical characterisation of multi-track Stellite 6 coating on SS316L substrate. Canadian Metallurgical Quarterly, cited by 6 articles.

Bhoskar, A., Naik, H., Kalyankar, V., & Deshmukh, D. (2025). Nickel-Based Metallurgical Coating Architectures for Superior Wear Resistance in High-Temperature P91 Steel Applications. Journal of Alloys and Metallurgical Systems, cited by 3 articles.

Kalyankar, V., Bhoskar, A., Deshmukh, D., & Patil, S. (2022). On the performance of metallurgical behaviour of Stellite 6 cladding deposited on SS316L substrate with PTAW process. Canadian Metallurgical Quarterly, cited by 2 articles.

Kalyankar, V., & Bhoskar, A. (2021). Influence of torch oscillation on the microstructure of Colmonoy 6 overlay deposition on SS304 substrate with PTA welding process. Metallurgical Research & Technology, cited by 1 article.

Conclusion

Avishkar Ramchandra Bhoskar is a highly skilled and research-driven professional with a strong background in metallurgical engineering, material characterization, and advanced manufacturing processes. His contributions to the field of wear-resistant coatings and metallurgical failure analysis have been instrumental in advancing industry applications. Through his ongoing research and industrial endeavors, he continues to bridge the gap between academia and industry, pushing the boundaries of material science for real-world applications. His expertise in CVD machine design, welding metallurgy, and hardfacing solutions makes him a valuable asset to the field of advanced material engineering.