Tingwei Zhou | Energy | Best Researcher Award

Prof. Tingwei Zhou | Energy | Best Researcher Award

Prof. Tingwei Zhou, Southwest University, China

Prof. Tingwei Zhou (周廷伟), born in February 1988, is an Associate Professor at the School of Physical Science and Technology, Southwest University, China. A member of the Communist Party, he specializes in theoretical research on material design, optoelectronic device performance, and quantum entanglement, often combining artificial intelligence with physical chemistry. With over 27 SCI papers and an H-index of 18, his work has significantly advanced the understanding of superatomic perovskites. He actively contributes to teaching, high-performance computing infrastructure, and peer-review processes for renowned journals. He is passionate about scientific exploration, education, and interdisciplinary collaboration.

Publication Profile

Scopus

🎓 Education

Prof. Zhou earned his PhD in Optical Engineering from Chongqing University (2016–2019), focusing on the frontier of superatomic materials. He obtained his MSc in Theoretical Physics from Southwest University (2013–2016), where he began his exploration of computational modeling and material theory. His undergraduate degree in Physics was completed at Zunyi Normal College (2009–2013). With a solid educational foundation in both theoretical and applied physics, his academic journey reflects a deep interest in quantum mechanics, materials science, and interdisciplinary research, forming the basis of his innovative approach to perovskite material studies and quantum phenomena. 🧪📚

🧑‍🏫 Experience

Since 2023, Prof. Zhou has served as an Associate Professor at Southwest University, where he previously held a Lecturer position (2019–2023). He has taught core subjects including computational physics, electrodynamics, and linear algebra, with experience in online, offline, and hybrid modes. Zhou has guided numerous undergraduates and postgraduates in research, thesis writing, and publishing. He also built and now manages a high-performance computing lab supporting theoretical modeling. Beyond teaching, he contributes to academic administration, graduate admissions, and collaborative research across physics and engineering disciplines. His experience showcases strong innovation, mentorship, and institutional service. 💻🧑‍🎓

🔬 Research Focus

Prof. Zhou’s research focuses on the design and performance evaluation of superatomic and perovskite materials for applications in energy, optoelectronics, and catalysis. He explores properties like crystal structure, adsorption energy, charge density, and activation energy using first-principles simulations. His interests extend to quantum entanglement theory and integrating artificial intelligence into physical chemistry. He also pioneers theoretical frameworks linking category theory to quantum physics. His published work in top-tier journals highlights advances in device efficiency, defect engineering, and stability mechanisms in functional materials. His cross-disciplinary approach pushes the boundaries of theoretical materials science and quantum innovation. ⚛️🧠💡

Publication Top Notes

📘 Coherence Programming for Efficient Linearly Polarized Perovskite Light-Emitting Diodes – Xiao, M.; Yang, J.; Zhang, W.; Wang, J.; Chen, P. – ACS Nano, 2024 – 📈 Cited by: 1

🌞 Facile Surface Regulation for Highly Efficient and Thermally Stable Perovskite Solar Cells via Chlormequat Chloride – Yang, B.; Lin, P.; Zhou, T.; Cai, B.; Zhang, W. – Chinese Chemical Letters, 2024

🌿 Facile and Sustainable Interface Modulation via a Self-Assembly Phosphonate Molecule for Efficient and Stable Perovskite Photovoltaics – Yang, B.; Cai, B.; Zhou, T.; Zheng, X.; Zhang, W. – Chemical Engineering Journal, 2024 – 🔟 Cited by: 10

🔬 A Construction Method of the Wave–Particle Entanglement State of the Particle System – Zhou, T. – Modern Physics Letters B, 2024

Ihsan Ullah | Neural Network | Best Researcher Award

Mr. Ihsan Ullah | Neural Network | Best Researcher Award

Mr. Ihsan Ullah, Abdul Wali khan university Marden Kp Pakistan, Pakistan

Ihsan Ullah is a dedicated researcher in fuzzy systems and artificial intelligence, pursuing an M.Phil in Mathematics at Abdul Wali Khan University, Mardan, Pakistan. With a solid foundation from his BS in Mathematics (CGPA 3.48/4), his research interests include fuzzy decision-making, neural networks, IoT, and multi-criteria decision-making. Ihsan has authored impactful papers in high-impact journals, including IEEE Access and Artificial Intelligence Review. Skilled in MATLAB and Mathematica, he also reviews for prestigious journals like Expert Systems with Applications. Fluent in English, Urdu, and Pashto, Ihsan is passionate about advancing AI for complex decision-making challenges. 📚💻✈️

 

Publication Profile

Orcid

Google Scholar

Educational Background

Ihsan Ullah is pursuing an M.Phil in Mathematics at Abdul Wali Khan University, Mardan, Pakistan (2023–present), maintaining an impressive CGPA of 3.69/4 (coursework only; thesis ongoing) 📊. He holds a BS in Mathematics from the same institution (2019–2023), graduating with a CGPA of 3.48/4. His undergraduate project focused on “Double Hierarchy Hesitant Linguistic Term Set and Their Application to Decision-Making Problems” 🤖✨. Ihsan is affiliated with the Department of Mathematics at Abdul Wali Khan University 📍 and actively engages in academic platforms like ORCID, Google Scholar, and ResearchGate 🌐

Research Interests

Ihsan Ullah’s research is centered around innovative approaches to decision-making and optimization using advanced computational techniques. His interests include fuzzy decision-making systems 🤖, artificial neural networks 🌐, and fuzzy neural networks, with applications in multi-criteria decision-making and network selection. He explores fuzzy credibility neural networks and optimization techniques to enhance problem-solving. Ihsan also focuses on fuzzy graph theory 🕸️, graph neural networks, and three-way decision-making processes. His work extends to linguistic neural networks 🗣️, the Internet of Things (IoT) 🌐, and fuzzy control systems ⚙️, aiming to create intelligent systems for real-world applications.

 

Publication Top Notes

  • “A new approach to neural network via double hierarchy linguistic information: Application in robot selection”Y Zhang, S Abdullah, I Ullah, F GhaniEngineering Applications of Artificial Intelligence 129, 107581 (Cited by: 30) 📊, 2024 📅
  • “A new approach to artificial intelligent based three-way decision making and analyzing S-Box image encryption using TOPSIS method”S Abdullah, AO Almagrabi, I UllahMathematics 11(6), 1559 (Cited by: 12) 📚, 2023 📅
  • “Analyzing the deep learning techniques based on three way decision under double hierarchy linguistic information and application”S Abdullah, I Ullah, F KhanIEEE Access (Cited by: 5) 🧠, 2023 📅
  • “Using a fuzzy credibility neural network to select nanomaterials for nanosensors”SS Abosuliman, S Abdullah, I UllahEngineering Applications of Artificial Intelligence 136, 108958 (Cited by: 3) 🔬, 2024 📅
  • “Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network”S Abdullah, I Ullah, F GhaniArtificial Intelligence Review 57(8), 191 (Cited by: 2) 🌐, 2024 📅
  • “An integrated fuzzy neural network model for surgical approach selection using double hierarchy linguistic information”M Nawaz, S Abdullah, I UllahComputers in Biology and Medicine 186, 109606 (Cited by: 0) 🏥, 2025 📅

 

 

 

Orelien BOUPDA | Energy | Best Researcher Award

Dr. Orelien BOUPDA | Energy | Best Researcher Award

Dr. Orelien BOUPDA, Université Douala/ENSPD, Cameroon

Born on April 9, 1993, in Douala, Cameroon, Dr. Orelien BOUPDA is a skilled Thermal and Energy Engineer. He holds a Master 2 in Mechanical Energy Research from ENSPD Douala (2021) and a Master 2 in Thermal Energy from ENSAI Ngaoudéré (2016). His expertise spans electromechanics, industrial electricity, refrigeration, air conditioning, and solar energy systems. Dr. BOUPDA is proficient in technical schematics, industrial automation, and photovoltaic installations. Fluent in French and intermediate in English, he thrives in cross-disciplinary environments. An avid traveler and reader 📚✈️, he combines technical prowess with a passion for cultural exploration. 🌟

 

Publication Profile

Orcid

 

Educational Journey

Dr. Orelien BOUPDA has a remarkable academic background in thermal and energy engineering. He earned a Master 2 in Mechanical Energy Research from ENSPD Douala (2020-2021) and a Master 2 in Thermal Energy Engineering from ENSAI Ngaoudéré (2015-2016). He also holds a professional license in Maintenance and Industrial Production (2013-2014) with a focus on Energy and Climate Engineering. Additionally, he completed a BTS in Refrigeration and Air Conditioning at IUG (2012-2013) and obtained his Baccalaureate F5 in Refrigeration and Air Conditioning from Lycée Technique de Nylon Douala (2010-2011). 🌍🔧⚡

 

Technical Expertise

Dr. Orelien BOUPDA demonstrates extensive expertise in various technical domains. His skills include industrial automation and electrotechnics, specializing in wiring, coupling, and maintaining electric circuits and motors. He excels in industrial and building electricity, handling design, dimensioning, wiring, and maintenance. Proficient in refrigeration and air conditioning ❄️, he designs, installs, and maintains cold storage systems and other cooling equipment. His electromechanical skills cover the installation and upkeep of generators. Dr. BOUPDA also specializes in solar energy 🌞, particularly in photovoltaic systems, and has advanced proficiency in technical schematics and computer tools. His knowledge reflects versatility and innovation. 🚀

 

Research Focus

Dr. Orelien BOUPDA’s research primarily focuses on sustainable energy systems, refrigeration technologies, and thermodynamic analysis. His notable work, Development and exergo-energetic analysis of an energy-efficient solar-assisted transcritical CO2 refrigeration system with two-phase ejector 🌍🔬, explores innovative solutions for improving energy efficiency in refrigeration systems using solar energy and advanced thermodynamic processes. This study highlights his expertise in energy conversion, CO2 refrigeration, and eco-friendly technologies aimed at reducing environmental impact. Dr. BOUPDA’s research aligns with global priorities in renewable energy integration and sustainable engineering, making significant contributions to green energy initiatives. ♻️🚀

 

Publication Top Notes

Development and exergo-energetic analysis of an energy-efficient solar-assisted transcritical CO2 refrigeration system with two-phase ejector

 

 

Jungpil Noh | Energy | Best Researcher Award

Jungpil Noh | Energy | Best Researcher Award

Prof Jungpil Noh, Gyeongsang National University, South Korea

Prof. Jungpil Noh is a renowned professor at Gyeongsang National University, Korea, specializing in material science and engineering. He holds a Ph.D. in Material Science from the Japan Advanced Institute of Science and Technology (2004), and a M.S. and B.S. in Metallurgical and Materials Engineering from Gyeongsang National University. His research focuses on lithium-ion batteries, material properties evaluation, thin film deposition, and TiNi-based shape memory alloys. Prof. Noh has published extensively in journals such as Materials Advances and Inorganic Chemistry Communications. He has been recognized for his contributions to energy storage materials and surface coatings. ⚡🔋📚

Publication profile

Scopus

Education

Dr. Jungpil Noh has an extensive academic background in materials science and metallurgy. He earned his Ph.D. in Material Science from the Japan Advanced Institute of Science and Technology (JAIST), Asahidai, Japan, in 2004, under the mentorship of Prof. Nobuo Otsuka. Prior to that, he completed his M.S. in Metallurgical and Materials Engineering at Gyeongsang National University (GSNU), Korea, in 2000, supervised by Prof. Tae-Hyun Nam. He also obtained his B.S. in the same field from GSNU in 1996. His expertise spans material science, metallurgy, and engineering. 🌍🔬📚

Experience

Prof. Jungpil Noh is a distinguished academic professional currently serving as a Professor at Gyeongsang National University since March 2020. His career at the university began in December 2008 as an Academic Research Professor, later progressing to Assistant Professor in 2004, Associate Professor in 2015, and finally Professor. He has made significant contributions to his field during his tenure, including advanced research and leadership roles. Prior to his work at Gyeongsang National University, Prof. Noh held a position as an Assistant Professor at the Japan Advanced Institute of Science and Technology. 🌐📚🎓

Research Fields

Prof. Jungpil Noh is an expert in the field of advanced materials, particularly focusing on Li-ion batteries, material properties evaluation, and thin film deposition. His research explores the development of high-performance Li-ion batteries through the evaluation of material properties to enhance their efficiency and longevity. Additionally, Prof. Noh works with thin film deposition techniques to create innovative coatings and films for various applications. A significant area of his expertise also includes TiNi-based shape memory alloys, which are crucial for various industries due to their unique properties. His work contributes to breakthroughs in energy storage, material science, and smart materials. 🔋🧪⚙️

Research focus

Prof. Jungpil Noh’s research focuses on advanced materials for energy storage and conversion, particularly in the field of lithium-ion batteries and flexible electronics. His work includes the development of novel cathode materials, such as spinel LiMn2O4 and Li4Ti5O12, to enhance battery performance through cation and anion substitutions. He also investigates the use of nanocomposite materials, like carbon nanotube-cellulose nanocrystal (CNT–CNC) composites, to improve the hydrophilicity and performance of energy storage devices. Prof. Noh’s interdisciplinary work contributes to sustainable energy solutions, combining material science, nanotechnology, and electrochemistry. ⚡🔋🧪

Publication top notes

Enhanced LiMn2O4 cathode performance in lithium-ion batteries through synergistic cation and anion substitution

Streamlined two-step synthesis of spinel LiMn2O4 cathode for enhanced battery applications

Aluminum Co-Deposition via DC Magnetron Sputtering for Enhanced Pitting Resistance of Copper–Nickel Alloys

Unraveling the Mechanism and Practical Implications of the Sol-Gel Synthesis of Spinel LiMn2O4 as a Cathode Material for Li-Ion Batteries: Critical Effects of Cation Distribution at the Matrix Level

Unraveling the Mechanism and Practical Implications of the Sol-Gel Synthesis of Spinel LiMn2O4 as a Cathode Material for Li-Ion Batteries: Critical Effects of Cation Distribution at the Matrix Level

Conclusion 

Prof. Jungpil Noh’s exceptional blend of academic expertise, innovative research contributions, and impactful publications makes him a highly deserving candidate for the “Best Researcher Award.” His work in materials science, particularly in energy storage technologies, directly aligns with global needs for sustainable energy solutions.

 

Samia Moulebhar | Energy Award | Best Researcher Award

Ms. Samia Moulebhar | Energy Award | Best Researcher Award

Ms. Samia Moulebhar, universite mostaganem, Algeria

Ms. Samia Moulebhar is a dedicated researcher and PhD candidate in Embedded Electronic Systems at Université Mostaganem (2023). With a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent, her work focuses on applying artificial intelligence to diagnostics and renewable energy solutions. Samia has presented at international conferences on the performance of organic solar cells and has contributed significantly to publications in advanced solar technology, including a paper on optimizing solar cell efficiency using multiobjective genetic algorithms. Proficient in tools like Matlab, SCAPS-1D, and Proteus, Samia also lectures in electronics and physics. 💻📈

 

Publication Profile

Orcid

Academic Background 

Ms. Samia Moulebhar is currently pursuing a PhD in embedded electronic systems (2023) and holds a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent (2022). Her Bachelor’s in Electrical Engineering focused on electronics, and she has also earned a BTS in database informatics. Proficient in tools such as Matlab, SCAPS-1D, Proteus, and Arduino, she demonstrates strong technical capabilities essential for advanced research in electronics and renewable energy systems.

Research Contributions

Ms. Moulebhar has a solid record of research publications, particularly in the field of organic solar cell technology. She has presented at multiple notable conferences, such as the First National Conference on Material Sciences and Renewable Energy, where she discussed improvements in organic solar cell efficiency, and at the International Conference on Renewable Energies and Power Systems (ICREPS 2024). Her presentation on absorber layer effects in organic solar cells at the Workshop on Sustainability and Advanced Technologies is a testament to her commitment to advancing sustainable energy solutions.

Research Focus

Her published work includes an influential paper on optimizing organic solar cells using hybrid approaches, incorporating NSGA-II, SCAPS-1D simulation, and response surface methodology. This research, featured in physica status solidi (a), showcases her focus on cutting-edge optimization techniques, addressing both performance and efficiency in solar technology.

Professional Experience

With teaching experience at Université Belhadj Bouchaib and roles in instrumentation and computer services, Ms. Moulebhar combines academic research with practical application. This background enhances her capability to bridge theoretical knowledge with real-world applications, particularly in the sustainable energy sector.

Conclusion

Ms. Samia Moulebhar is a promising candidate for the Best Researcher Award due to her focused research on organic solar cell technologies, extensive conference participation, and a track record of published research. Her technical expertise and ongoing contributions to renewable energy systems demonstrate her potential as an innovative researcher in the field of electronics and sustainable technologies.

 

Publication Top Notes

Hybrid Optimization Approach Using Multiobjective Genetic Algorithm NSGA‐II, SCAPS‐1D Simulation, and Response Surface Methodology for Organic Solar Cell Analysis

 

 

Hadi Belhaj | Energy | Best Faculty Award

Hadi Belhaj | Energy | Best Faculty Award

Prof Hadi Belhaj, Khalifa University, United Arab Emirates

Based on the provided information, Prof. Hadi Belhaj appears to be a highly suitable candidate for the Research for Best Faculty Award.

Publication profile

google scholar

  1. Educational Background: Prof. Belhaj holds a Ph.D. in Petroleum Engineering from Dalhousie University, which establishes his strong academic foundation in the field.
  2. Extensive Research Experience: His involvement in numerous funded research projects, including studies on enhanced oil recovery (EOR), CO2 sequestration, and unconventional reservoir engineering, demonstrates his active contribution to advancing petroleum engineering knowledge.
  3. Leadership in Research Projects: Prof. Belhaj has served as the principal investigator on several significant projects, with budgets reaching into the millions of dollars, indicating his ability to lead large-scale research initiatives successfully.
  4. Publications and Contributions: He has authored numerous journal papers and a book on tight oil reservoirs, showcasing his expertise and contributions to academic literature.
  5. Recognition and Awards: Prof. Belhaj has received several prestigious awards, including the SPE International Distinguished Service Award and the SPE Regional Distinguished Achievement for Petroleum Engineering Faculty Award, which recognize his excellence in research and service.
  6. Professional Service and Memberships: His active participation in professional societies like the Society of Petroleum Engineers (SPE) and his role in various committees underline his commitment to the broader engineering community.
  7. Teaching and Mentorship: His roles in mentoring students, advising SPE student chapters, and organizing training programs demonstrate his dedication to education and fostering the next generation of petroleum engineers.

Given these accomplishments and his significant impact on both research and education in petroleum engineering, Prof. Hadi Belhaj is indeed a strong contender for the Research for Best Faculty Award.

Publication top notes

Application of nanotechnology by means of nanoparticles and nanodispersions in oil recovery-A comprehensive review

Ionic liquids as alternatives of surfactants in enhanced oil recovery—A state-of-the-art review

Experimental investigation, binary modelling and artificial neural network prediction of surfactant adsorption for enhanced oil recovery application

Sand-production prediction: a new set of criteria for modeling based on large-scale transient experiments and numerical investigation

Comprehensive transient modeling of sand production in horizontal wellbores

Rock properties evaluation for carbonate reservoir characterization with multi-scale digital rock images

Enhanced oil recovery by nonionic surfactants considering micellization, surface, and foaming properties

 

Kwan Woo Nam | Energy | Best Researcher Award

Kwan Woo Nam | Energy | Best Researcher Award

Assist Prof Dr Kwan Woo Nam, Ewha Womans University, South Korea

Based on the detailed profile provided, Assistant Professor Dr. Kwan Woo Nam would be a strong candidate for the Best Researcher Award due to his extensive research in advanced battery materials and technologies. Here are the key highlights that support his candidacy:

Publication profile

google scholar

Educational Excellence and Research Foundation

Dr. Nam’s academic background is rooted in prestigious institutions, including a Ph.D. in Materials and Chemical Engineering from KAIST, focusing on rechargeable batteries. His education laid a solid foundation for his specialized research in energy storage technologies.

Innovative Research Contributions

Dr. Nam’s research focuses on advanced battery chemistries, including lithium-ion, sodium-ion, and magnesium batteries, emphasizing high energy density and cost-effectiveness. His work on metal-organic frameworks and advanced safety separators significantly contributes to the development of high-performance and safer rechargeable batteries.

Publications and Scientific Impact

With multiple publications in high-impact journals, such as ACS Nano and ChemSusChem, Dr. Nam has contributed to advancing knowledge in battery science. His research on metal-organic frameworks and polymer binder materials showcases his commitment to innovation in energy storage solutions.

Professional Experience and Collaborations

Dr. Nam’s career includes significant roles, such as a postdoctoral fellow at Northwestern University and a senior researcher at LG Chem, indicating his ability to collaborate and contribute to both academic and industrial advancements in battery research.

Awards and Recognitions

His accolades, including the Miwon Commercial New Scientist Award and full national grants from KAIST, highlight his excellence and recognition by the scientific community. These achievements reflect his potential to drive future innovations and leadership in chemical engineering and materials science.

Conclusion

Dr. Kwan Woo Nam’s comprehensive educational background, impactful research, numerous publications, and recognitions make him a deserving candidate for the Best Researcher Award. His ongoing work in developing advanced battery materials has significant implications for sustainable energy solutions, underscoring his suitability for this prestigious accolade.

Publication top notes

Effective liquid-phase exfoliation and sodium ion battery application of MoS2 nanosheets

The high performance of crystal water containing manganese birnessite cathodes for magnesium batteries

Conductive 2D metal-organic framework for high-performance cathodes in aqueous rechargeable zinc batteries

Crystal water for high performance layered manganese oxide cathodes in aqueous rechargeable zinc batteries

Redox-active phenanthrenequinone triangle in aqueous rechargeable zinc batteries

Critical role of crystal water for a layered cathode material in sodium ion batteries

Improved reversibility in lithium-oxygen battery: Understanding elementary reactions and surface charge engineering of metal alloy catalyst

Direct Observation of an Anomalous Spinel‐to‐Layered Phase Transition Mediated by Crystal Water Intercalation

Obed Nelson ONSOMU | Energy | Best Researcher Award

Mr. Obed Nelson ONSOMU | Energy | Best Researcher Award

Researcher , ANKARA YILDIRIM BEYAZIT UNIVERSITY , Kenya
🌟 Obed Nelson Onsomu is a dedicated Energy Systems Engineer with a strong academic foundation, holding an MSc in Energy Systems Engineering and currently pursuing a Ph.D. in the same field. He has a deep interest in sustainable energy solutions, particularly in the optimization of energy systems and Virtual Power Plants (VPP). With extensive research experience, he is passionate about scaling energy systems for sustainable development. Obed combines his technical expertise with strong communication skills, making him a valuable contributor to the field of energy engineering.

Publication Profile

ORCID

Strengths for the Award

  1. Strong Academic Background: Obed Nelson Onsomu holds an MSc in Energy Systems Engineering and is currently pursuing a Ph.D. in the same field. His focus on Virtual Power Plants (VPP) demonstrates a strong alignment with contemporary research areas in energy systems.
  2. Extensive Research and Technical Expertise: He has specialized skills in distributed generation, optimization of energy systems, and electricity markets. His experience with MATLAB-Simulink, C, C++, Python, and SCADA systems further solidifies his technical proficiency.
  3. Diverse Professional Experience: Onsomu has a solid track record as an R&D Project Engineer, where he worked on significant projects like developing a PID controller for energy storage systems. His roles have included project management, system design, and simulation, showcasing his ability to handle complex technical challenges.
  4. International Experience and Communication Skills: His work experience across different countries (Turkey and Kenya) highlights his adaptability and ability to work in multicultural environments. His proficiency in multiple languages, including English, Swahili, and Turkish, is an asset for international collaboration.
  5. Publications and Certifications: His publications on Virtual Power Plants and certifications in IoT, Blockchain, and Embedded Systems reflect his commitment to continuous learning and contribution to the field of energy systems.

Areas for Improvement

  1. Increased Research Output: While Onsomu has relevant publications, increasing the number and impact of his research publications, particularly in high-impact journals, could strengthen his candidacy.
  2. Expanded Network and Collaboration: Engaging in more collaborative research projects and international conferences could enhance his visibility and networking within the academic community.
  3. Focus on Innovation and Commercialization: While his technical skills are strong, focusing on the practical application and commercialization of his research, especially in energy markets, could add a valuable dimension to his work.

 

Education

🎓 Obed Nelson Onsomu has an impressive educational background in engineering. He earned his Bachelor of Science (B.S.) in Mechatronic Engineering from the University of Turkish Aeronautical Association, Ankara, Turkey, in 2017. He then completed his MSc in Energy Systems Engineering in 2020 from Yildirim Beyazit University, Ankara, Turkey. Currently, Obed is pursuing a Ph.D. in Energy Systems Engineering, focusing on Virtual Power Plants, from the same university, expected to complete in December 2023.

Experience

💼 Obed Nelson Onsomu has a diverse range of professional experiences. Since January 2020, he has been working as an R&D Project Engineer at INAVITAS in Turkey, where he has been involved in developing PID controllers for energy storage systems and working on grid-renewable power exchange projects. He also has experience as a Sales Engineer, Manager, STEM Instructor, and Installation Specialist, demonstrating his versatility and leadership in various roles across the energy and education sectors.

Research Focus

🔬 Obed Nelson Onsomu is primarily focused on research related to Virtual Power Plants (VPP), distributed generation, and the optimization of energy systems. His Ph.D. thesis is centered on the application of VPPs in sustainable energy development. He has also worked extensively on topics such as electricity markets, energy storage systems, and renewable energy integration.

Awards and Honours

🏅 Obed Nelson Onsomu has been recognized for his academic and professional contributions, although specific awards and honors are not detailed. His continued pursuit of excellence in his Ph.D. studies and professional projects reflects his commitment to advancing the field of energy systems engineering.

Publications Top Notes

  1. “Virtual Power Plant Application for Rooftop Photovoltaic Systems” – Published in [Journal Name, Year], cited by [Number of Articles].
  2. “Virtual Power Plant for Kenya Rural Energy Needs” – Published in [Journal Name, Year], cited by [Number of Articles].

Conclusion

Obed Nelson Onsomu demonstrates strong potential as a candidate for the Research for Best Researcher Award. His academic background, research expertise, and international experience make him a suitable contender. However, to enhance his candidacy, he could focus on increasing his research output, expanding his academic network, and emphasizing the practical impact of his work in the energy sector. Overall, he is a promising researcher with the potential to make significant contributions to the field of energy systems engineering.

 

Minseok Ryu | Energy | Best Researcher Award

Minseok Ryu | Energy | Best Researcher Award

Assist Prof Dr Minseok Ryu, Arizona State University, United States

Dr. Minseok Ryu is an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University, Tempe, AZ. He holds a Ph.D. in Industrial and Operations Engineering from the University of Michigan and an M.S. and B.S. in Aerospace Engineering from KAIST. Dr. Ryu’s research spans advanced scientific computing, privacy-preserving federated learning, and power system resilience. He has held notable positions at Argonne and Los Alamos National Laboratories and has been recognized by the Department of Energy for his highlighted research. He is a member of prominent societies like INFORMS and IEEE. 🌟🧑‍🏫🔬

Publication profile

google scholar

Education 

Her hold a Ph.D. in Industrial and Operations Engineering from the University of Michigan, Ann Arbor, completed in May 2020 🎓. Prior to this, I earned a Master’s degree in Aerospace Engineering from KAIST in Daejeon, Korea, in February 2014 🚀. My academic journey began with a Bachelor’s degree in the same field at KAIST, which I completed in February 2012 ✈️. This extensive background has equipped me with a robust understanding of both industrial systems and aerospace technologies, paving the way for a dynamic and interdisciplinary career 🛠️🌍.

Honors & Awards

In 2024, I had the honor of being an Alliance Fellow with the Mayo Clinic and ASU Alliance for Health Care during their esteemed Faculty Summer Residency program. My research has consistently been recognized, including being highlighted by the Department of Energy’s Advanced Scientific Computing Research in both 2023 and 2022 🌟. My academic journey has been supported by several prestigious awards, such as the Rackham Graduate Student Research Grant from the University of Michigan in 2016 🎓 and multiple fellowships in 2015. Additionally, my early academic achievements include the National Science Foundation Student Award 🏆 and recognition from the Government of Korea for outstanding scholarship 🌍.

Employment 💼

He is currently an Assistant Professor at Arizona State University (since August 2023), after a tenure as a Postdoctoral Appointee at Argonne National Laboratory from 2020 to 2023.

Research focus

M. Ryu’s research spans privacy-preserving federated learning frameworks, including differential privacy and distributed control of optimal power flow in electric grids. They also contribute to distributionally robust optimization techniques for scheduling and staffing problems, particularly in healthcare and power systems. Their work emphasizes practical algorithms and frameworks (like APPFL) for enhancing privacy and efficiency in distributed systems. Additionally, they explore mitigating uncertain impacts of geomagnetic disturbances on electric grids. Overall, M. Ryu’s research integrates optimization, privacy, and robustness into practical applications across diverse domains. 📊🔒

Publication top notes

Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

A Privacy-Preserving Distributed Control of Optimal Power Flow

An extended formulation of the convex recoloring problem on a tree

Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

Differentially private federated learning via inexact ADMM with multiple local updates

Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach

Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids

Development of an Engineering Education Framework for Aerodynamic Shape Optimization

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx

 

 

Weifeng Li | Power Battery | Best Researcher Award

Assoc Prof Dr. Weifeng Li | Power Battery | Best Researcher Award

Assoc Prof Dr. Weifeng Li, Jilin University, China

Assoc. Prof. Dr. Weifeng Li is an Associate Professor at Jilin University’s National Key Laboratory of Automotive Chassis Integration and Bionics 🚗. With a Ph.D. in Engineering from Jilin University and postdoctoral fellowship from Tsinghua University 🎓, he focuses on the thermal safety of new energy vehicle power batteries 🔋. He has published 24 SCI papers 📚, led numerous national and provincial research projects, and is recognized as a top talent in Jilin Province 🌟. Dr. Li’s work includes safety material innovation, system protection design, and the development of thermal safety evaluation methods for batteries 🔥.

 

Publication profile

Orcid

Education

Weifeng Li, who holds a Ph.D. in Engineering from Jilin University and a postdoctoral fellowship from Tsinghua University, is currently an Associate Professor and Master’s Supervisor at Jilin University’s National Key Laboratory of Automotive Chassis Integration and Bionics 🚗. He has been recognized as a top talent in Jilin Province (Class D) and selected for Jilin University’s “Innovative Excellent Young Teacher Training Program” 🌟.

Research Focus

Assoc. Prof. Dr. Weifeng Li’s research predominantly centers on the thermal safety and performance optimization of new energy vehicle power batteries 🔋. He explores advanced technologies and methodologies to enhance battery safety and efficiency, particularly in all-solid-state and lithium-ion batteries 🔄. His work includes the development of bio-inspired electrodes, safety assessments, and improving low-temperature performance for electric vehicles ❄️. Dr. Li also investigates thermal runaway prevention, battery vent gas flammability, and the combustion process in dual-fuel engines, making significant contributions to automotive energy systems and battery safety optimization 🚗.

 

Publication Top Notes

  • Cell-level thermal safety assessments toward optimization of all-solid-state batteries
    📄 Published in 2024, cited by 0
  • Bio‐Inspired Electrodes with Rational Spatiotemporal Management for Lithium‐Ion Batteries
    📄 Published in 2024, cited by 0
  • Cell Design for Improving Low-Temperature Performance of Lithium-Ion Batteries for Electric Vehicles
    📄 Published in 2023, cited by 0
  • Experimental study on the cell-jet temperatures of abused prismatic Ni-rich automotive batteries under medium and high states of charge
    📄 Published in 2022, cited by 0
  • Bioinspired Thermal Runaway Retardant Capsules for Improved Safety and Electrochemical Performance in Lithium‐Ion Batteries
    📄 Published in 2021, cited by 12
  • Three-phase interface-assisted advanced electrochemistry-related applications
    📄 Published in 2021, cited by 5
  • Fire boundaries of lithium-ion cell eruption gases caused by thermal runaway
    📄 Published in 2021, cited by 3
  • Quantitative analysis of eruption process of abused prismatic Ni-rich automotive batteries based on in-chamber pressure
    📄 Published in 2020, cited by 8
  • Size distribution and elemental composition of vent particles from abused prismatic Ni-rich automotive lithium-ion batteries
    📄 Published in 2019, cited by 14
  • Flammability characteristics of the battery vent gas: A case of NCA and LFP lithium-ion batteries during external heating abuse
    📄 Published in 2019, cited by 9
  • Theoretical and experimental analysis of the lithium-ion battery thermal runaway process based on the internal combustion engine combustion theory
    📄 Published in 2019, cited by 18