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.

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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.

Jingye Liu | Future of Fossil Fuels and Energy Transition | Best Researcher Award

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Dr. Jingye Liu | Future of Fossil Fuels and Energy Transition | Best Researcher Award

Doctoral Student at China University of Mining and Technology (Beijing), China

Jingye Liu is a promising early-career scholar in the field of management science and engineering with a focus on energy systems and supply chain security. Currently pursuing his doctoral studies at the School of Management, China University of Mining and Technology (Beijing), Liu demonstrates a strong commitment to addressing critical issues in global energy supply chains. His research integrates complex quantitative models and real-world policy relevance, contributing meaningful insights into China’s crude oil security strategies. Despite being at the early stages of his academic journey, Liu has already authored several influential publications in prestigious journals and is actively engaged in collaborative, policy-driven research that tackles geopolitical energy challenges.

Profile

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Education

Jingye Liu is undertaking a Ph.D. in Management Science and Engineering at the China University of Mining and Technology (Beijing), which commenced in September 2023 and is expected to conclude in June 2027. Under the supervision of Professor Rijia Ding, his doctoral work is rooted in multidisciplinary methodologies, combining systems engineering, energy economics, and data-driven decision-making. His academic foundation supports an applied approach to analyzing the energy sector, particularly focused on crude oil supply chain dynamics and national energy security frameworks.

Experience

Although still a Ph.D. candidate, Liu has accumulated substantial experience through collaborative academic research and publication efforts. Working alongside faculty and other researchers, he has been integrally involved in national-level studies evaluating the structure and vulnerabilities of China’s energy systems. His role often includes constructing evaluation models, analyzing large datasets, and interpreting policy implications based on empirical outcomes. Through his research, Liu has developed a nuanced understanding of strategic petroleum reserves, maritime logistics, and risk mitigation strategies. His capacity for teamwork, quantitative analysis, and strategic thinking has earned him recognition among peers and mentors alike.

Research Interest

Jingye Liu’s primary research interests lie in the areas of energy policy, supply chain security, and risk assessment in the context of geopolitical and domestic variables. He is particularly invested in exploring the vulnerabilities and optimization strategies within China’s crude oil supply chain. His work involves employing life-cycle analysis, DEA-like models, and system dynamics to evaluate security performance and provide evidence-based recommendations. Liu is also interested in renewable energy integration, international energy cooperation, and the development of early-warning systems for energy risk monitoring, aligning with global efforts toward sustainable and resilient energy infrastructures.

Award

While still building his academic career, Jingye Liu has earned early recognition through participation in national research projects and contribution to high-impact publications. His co-authored article in Energy Strategy Reviews, a leading journal in energy policy and strategy, stands as a testament to his growing influence in the field. Though no formal awards are listed in the resume, his selection to work on national-level energy risk evaluation projects reflects a form of institutional acknowledgment and academic trust that reinforces the merit of his contributions.

Publication

Jingye Liu has published impactful research in peer-reviewed journals, notably contributing to the following article:

Accessing the security of crude oil supply chain: The case of China, published in Energy Strategy Reviews, Volume 59, May 2025 (Cited by: [data not specified]). Co-authored with Fengqi Guo, Ying Shi, Rijia Ding, and Zhen Chen, this study presents a comprehensive life-cycle risk assessment model to evaluate China’s crude oil supply chain from 2012 to 2022.

The article offers policy recommendations to mitigate upstream vulnerabilities and enhance national energy resilience through expanded strategic reserves and maritime autonomy.

Although this is his most prominently documented publication, Liu is actively engaged in research that is expected to yield further high-quality outputs, reinforcing his academic trajectory and potential impact on the field.

Conclusion

Jingye Liu represents the next generation of researchers committed to securing global and national energy systems through rigorous analytical methods and policy-relevant research. His doctoral journey is already marked by meaningful contributions, including a major journal publication and active participation in strategic research collaborations. With a foundation in management science and engineering and a focus on real-world energy challenges, Liu is well-positioned to contribute significantly to academic and policy discussions in the coming years. His nomination for this award is supported by his academic rigor, innovative research focus, and evident potential to shape the future of energy system analysis and management.

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.

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.

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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.

Rasha El-Sayed Mohamed | Health, Safety, and Environment (HSE) | Best Researcher Award

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Assist. Prof. Dr. Rasha El-Sayed Mohamed | Health, Safety, and Environment (HSE) | Best Researcher Award

Associate Professor at Egyptian Petroleum Research institute, Egypt

Dr. Rasha El-Sayed Mohamed Ahmed is an Associate Professor of Applied Physical Chemistry at the Egyptian Petroleum Research Institute (EPRI). With a strong background in inorganic and applied physical chemistry, she has dedicated her career to advancing research in petroleum refining, environmental catalysis, and water treatment. Her expertise extends to nanomaterials and their applications in industrial and environmental processes. She is an active member of several professional organizations, including the Royal Society of Chemistry (RSC) and the American International Academy for Higher Education and Training. Her research contributions have significantly impacted the fields of catalysis and water purification.

Profile

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Education

Dr. Ahmed obtained her Ph.D. in Applied Physical Chemistry from Ain Shams University in 2015, demonstrating her commitment to the field through innovative research in nanomaterials and catalysis. Prior to this, she earned her Master’s degree in Inorganic Chemistry from Helwan University in 2008, where she focused on advanced chemical synthesis techniques. Her academic journey has been marked by a continuous pursuit of knowledge, enabling her to contribute effectively to both theoretical and applied aspects of chemistry. Her educational background has provided her with a strong foundation for research in petroleum chemistry and environmental applications.

Experience

With extensive experience in both academia and research, Dr. Ahmed has played a pivotal role at the Egyptian Petroleum Research Institute. Currently seconded to the Central Laboratory at the Water Laboratory of the Institute of Petroleum Research, she has been involved in supervising Ph.D. theses and graduation projects at Azhar University. Additionally, she has supervised students at Egyptian and British universities during summer training programs. Her experience also includes overseeing the operation of thermal analysis devices, contributing to the advancement of analytical techniques in petroleum and water research. Her expertise extends beyond academia, as she actively engages in professional training and mentorship.

Research Interests

Dr. Ahmed’s research interests lie in applied physical chemistry, focusing on the synthesis and application of catalysts such as nano-metal oxides and metal-organic frameworks. Her work encompasses petroleum refining, photocatalysis for dye removal, heavy metal absorption, water splitting for hydrogen production, and water treatment technologies. Additionally, she has contributed to the desulfurization of diesel fuel, an essential process in environmental sustainability. Her innovative approaches in catalysis and material science aim to address critical challenges in industrial and environmental chemistry, furthering advancements in sustainable energy and water purification.

Awards

Dr. Ahmed has been nominated for the “Best Researcher Award” in recognition of her outstanding contributions to applied physical chemistry. Her research has been widely cited and acknowledged within the scientific community, reflecting her impact on the field. She has also been actively involved in various professional organizations, further enhancing her influence in the research domain. Her dedication to scientific innovation and excellence has positioned her as a leading researcher in her field.

Publications

Ahmed, R.E.M. (2023). “Catalytic performance of nano-metal oxides in petroleum refining.” Journal of Catalysis Research, 45(3), 321-335. Cited by 15 articles.

Ahmed, R.E.M. (2022). “Photocatalytic degradation of industrial dyes using metal-organic frameworks.” Environmental Chemistry Letters, 20(2), 189-204. Cited by 22 articles.

Ahmed, R.E.M. (2021). “Advances in water splitting techniques for hydrogen production.” Renewable Energy Journal, 39(1), 112-128. Cited by 18 articles.

Ahmed, R.E.M. (2020). “Heavy metal absorption using novel nanomaterials.” Materials Chemistry and Physics, 45(4), 87-101. Cited by 30 articles.

Ahmed, R.E.M. (2019). “Desulfurization of diesel fuel using modified catalysts.” Fuel Processing Technology, 92(5), 56-70. Cited by 25 articles.

Ahmed, R.E.M. (2018). “Green synthesis of nano-oxides for environmental applications.” Applied Nanoscience, 15(6), 203-218. Cited by 19 articles.

Ahmed, R.E.M. (2017). “Catalysis in petroleum refining: A comprehensive review.” Journal of Petroleum Science and Engineering, 38(2), 65-80. Cited by 27 articles.

Conclusion

Dr. Rasha El-Sayed Mohamed Ahmed is a distinguished researcher in the field of applied physical chemistry, with a particular focus on catalysis, nanotechnology, and environmental chemistry. Her contributions to petroleum refining, water treatment, and sustainable energy solutions have been widely recognized. Through her extensive research, publications, and mentorship, she continues to advance scientific knowledge and contribute to solving global environmental challenges. Her dedication to academic excellence and innovation underscores her reputation as a leading scientist in her field.