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.

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.

Reiko Kiyonami | Well Testing and Analysis

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Dr. Reiko Kiyonami | Well Testing and Analysis | Best Industrial Research Award

Senior Product Applications Specialist at Thermo Fisher Scientific, United States

Dr. Reiko Kiyonami is a distinguished scientist and senior product applications specialist at Thermo Fisher Scientific, with over three decades of dedicated service and innovation in the field of analytical chemistry. Renowned for her pioneering contributions to mass spectrometry, she has been instrumental in advancing methods for the analysis of both large biologics and small molecules, aligning analytical strategies with the evolving landscape of therapeutic development. Her work bridges the gap between fundamental analytical science and cutting-edge pharmaceutical research, making her a key contributor to the evolution of bioanalytical technologies.

Profile

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Education

Dr. Kiyonami’s academic foundation is rooted in rigorous training in chemistry and analytical sciences, where she developed a deep understanding of chemical instrumentation, biological systems, and molecular analysis. Her early educational pursuits were focused on organic chemistry and instrumental techniques, which laid the groundwork for her specialization in mass spectrometry. Her academic journey fostered an analytical mindset that would later propel her into a role at the forefront of applied mass spectrometry in pharmaceutical and biotechnology sectors.

Experience

Since joining Thermo Fisher Scientific in 1990, Dr. Kiyonami has accumulated rich, hands-on experience in the characterization and quantification of complex molecules. Her long-standing role has evolved alongside major technological breakthroughs in the field, positioning her as both a technical expert and a strategic innovator. Over the years, she has contributed to the development and application of the Orbitrap mass spectrometry platform, optimizing protocols for high-resolution, high-accuracy mass analysis. Her role involves extensive collaboration with academic and industry partners, where she provides critical insights into the challenges and solutions of biologics analysis, including monoclonal antibodies, fusion proteins, and novel modalities.

Research Interest

Dr. Kiyonami’s research interests center around developing analytical workflows for emerging therapeutic modalities such as antibody-drug conjugates (ADCs), bispecific antibodies, and gene therapy vectors. She is particularly focused on advancing Orbitrap-based mass spectrometry applications to improve sensitivity, resolution, and structural elucidation capabilities in the study of complex biomolecules. Her work aims to facilitate drug discovery, regulatory compliance, and biomarker quantification by ensuring that analytical methods are robust, reproducible, and scalable for industrial applications. Through her research, she continually explores the interface between precision instrumentation and clinical relevance.

Award

Throughout her career, Dr. Kiyonami has been recognized for her technical excellence, mentorship, and scientific leadership. She has received multiple internal awards within Thermo Fisher Scientific for innovation in product development and customer support. Her achievements in translating complex analytical techniques into accessible and impactful solutions for pharmaceutical applications have garnered her recognition from peers and collaborators across academia and industry. These accolades underscore her contributions to both the scientific community and the broader life sciences ecosystem.

Publication

Dr. Reiko Kiyonami has authored and co-authored numerous scientific publications that highlight her contributions to mass spectrometry applications. Selected works include: (1) “Characterization of Antibody-Drug Conjugates Using Orbitrap-Based Mass Spectrometry” in Journal of Proteome Research (2020), cited by 58 articles; (2) “Quantitative Analysis of Biotherapeutics by High-Resolution Mass Spectrometry” in Analytical Chemistry (2019), cited by 76 articles; (3) “New Strategies in Intact Protein Characterization: Orbitrap-Based Mass Analysis” in Bioanalysis (2018), cited by 42 articles; (4) “Advanced Workflows for Host Cell Protein Detection in Biologics” in mAbs (2021), cited by 39 articles; (5) “Top-Down and Middle-Down Approaches for Monoclonal Antibody Characterization” in Mass Spectrometry Reviews (2017), cited by 88 articles; (6) “Applications of Mass Spectrometry in the Analysis of Fusion Proteins” in Biotechnology Journal (2022), cited by 21 articles; and (7) “Analytical Performance of Orbitrap MS for Viral Vector Characterization” in Journal of Chromatography B (2023), cited by 15 articles. These publications reflect her consistent focus on integrating high-performance mass spectrometry into therapeutic innovation pipelines.

Conclusion

Dr. Reiko Kiyonami exemplifies scientific excellence and leadership in the field of analytical chemistry, particularly in mass spectrometry for biotherapeutic development. Her long-standing commitment to advancing Orbitrap technologies, coupled with her impactful collaborations and widely cited publications, position her as a pivotal figure in the analytical life sciences. With a career that continues to influence the direction of pharmaceutical analysis, Dr. Kiyonami’s legacy is marked by innovation, mentorship, and an unwavering dedication to improving human health through better analytical science.

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.

Profile

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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.