JingQu | Coalbed methane | Best Researcher Award

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Dr. JingQu | Coalbed methane | Best Researcher Award

School of Resources and Geosciences, China University of Mining and Technology, China

Dr. Jing Qu is a dedicated researcher in the field of geological resources, focusing on coalbed methane, coal reservoir characterization, and multi-field coupled seepage behavior. His research interests include gas content correction in deep coalbeds, CT-based digital core processing, and small-scale percolation equipment for laboratories. Dr. Qu has published influential studies in journals such as Energy, Fuel, and AAPG Bulletin, contributing to advancements in methane release and water saturation variation. 🌍📊🔬

Publication Profile

Orcid

Education and Academic Background 🎓

Dr. Jing Qu is currently pursuing a Ph.D. in Geological Resources and Engineering at China University of Mining and Technology (CUMT) in Xuzhou, China, through a combined Master-Doctor program (2022-Present). Prior to this, he earned his M.S. in Mineral Prospecting and Exploration from CUMT (2020-2022). He also holds a Bachelor’s degree in Mineral Prospecting and Exploration from the same institution (2016-2020). Dr. Qu’s academic journey at CUMT has shaped his expertise in geological resources and coalbed methane, laying a solid foundation for his cutting-edge research. 📚🌍

Research Interests 🔬

Dr. Jing Qu’s research focuses on several key areas related to coalbed methane and coal reservoirs. He is particularly interested in developing correction methods for gas content in deep coalbed methane. Additionally, his work involves studying the adsorption-desorption characteristics of coal reservoirs and exploring multi-field coupled seepage behaviors using CT imaging techniques. He also conducts digital core processing of CT data from coal samples, advancing the understanding of coal reservoir dynamics. Another important aspect of his research is the construction of small-scale percolation equipment for laboratory experiments, contributing to more precise experimental analysis. 🛠️🌍

Publications Top Notes 📚

  • Characteristics, mechanism, and prediction model of water saturation variation during gas and water interaction in deep coal reservoirs – Energy, 2025  🔬
  • Variations of CH4 release pathways and processes in progressively pulverized coals: Insights from multi-fractal analysis and experimental validation – Fuel, 2025  🌍
  • Characteristics of fractures in different macro-coal components in high-rank coal based on CT images – Natural Gas Industry, 2022 🏭
  • The analysis of the micro-occurrence state of irreducible water in anthracite fracture network based on digital core – AAPG Bulletin, 2023 🔍
  • Characteristics of a Multi-scale Fracture Network and Its Contributions to Flow Properties in Anthracite – Energy & Fuels, 2021🌱

Roghayeh Gavagsaz-ghoachani | Photovoltaic system | Best Researcher Award

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Assoc. Prof. Dr. Roghayeh Gavagsaz-ghoachani | Photovoltaic system | Best Researcher Award

Assoc. Prof. Dr. Roghayeh Gavagsaz-ghoachani, Shahid Beheshti University, Iran

Assoc. Prof. Dr. Roghayeh Gavagsaz-Ghoachani is an expert in Electrical Engineering, with a Ph.D. from the University of Lorraine, France. She has earned several awards, including the ICOME 2024 and ELECTRIMACS 2019 Best Paper Prizes. Dr. Gavagsaz-Ghoachani has published 47 journal papers and 136 conference papers. Currently, she serves as an Associate Professor at Shahid Beheshti University, Iran. Her research focuses on photovoltaic systems, DC microgrids, and power electronics. She is a reviewer for prominent journals like IEEE Transactions on Power Electronics. 🌍📚🔋📡💡

 

Publication Profile

Orcid

Education 📚🎓

Assoc. Prof. Dr. Roghayeh Gavagsaz-Ghoachani is a highly qualified Electrical Engineering expert. She earned her Ph.D. in Electrical Engineering from the University of Lorraine, France, in 2012. Prior to that, she completed her M.Sc. in Electrical Engineering from Institut National Polytechnique de Lorraine, France, in 2007. She began her academic journey with a B.Sc. in Electrical Engineering from Ferdowsi University, Mashhad, Iran, in 1994. Dr. Gavagsaz-Ghoachani’s academic path reflects a strong foundation in electrical engineering, contributing to her extensive research and teaching career. 🌍🔌💡

 

Awards and Recognition 🏆🎖️

Assoc. Prof. Dr. Roghayeh Gavagsaz-Ghoachani has received numerous accolades for her outstanding contributions to Electrical Engineering. She was honored with the ICOME 2024 Best Paper Prize and the EVER 2013 Best Paper Prize, recognizing her excellence in research. In 2021, she received the ICREDG Best Paper Prize, followed by another ICREDG Best Paper Prize in 2019. Dr. Gavagsaz-Ghoachani also earned the ELECTRIMACS 2019 Best Paper Prize for her impactful work in the field. These prestigious awards highlight her significant academic achievements and contributions to the engineering community. 🌟📄🔬

 

Professional Experience 👩‍🏫🌍

Assoc. Prof. Dr. Roghayeh Gavagsaz-Ghoachani has an impressive academic career spanning multiple prestigious institutions. Since January 2016, she has served as an Associate Professor at Shahid Beheshti University in Iran, where she continues to contribute significantly to the field of Electrical Engineering. Prior to this, from 2012 to 2016, she worked as a Postdoctoral Researcher at the renowned Université de Lorraine in France. Her diverse professional experiences across both academic and research environments have greatly enriched her expertise and helped shape her distinguished career. 🏫🔬💼

 

Research Focus

Roghayeh Gavagsaz-Ghoachani is a researcher with a strong focus on power electronics, control systems, and renewable energy applications. Her work includes control techniques for DC microgrids, modular converters, photovoltaic systems, and fuel cell applications. She has contributed to advancements in voltage regulation, energy efficiency, and the development of robust control systems for power converters, including the use of nonlinear observers and flatness-based control. Her research also delves into educational innovations, such as video-on-demand learning in engineering. 🔋⚡📚🔧📡

 

Publication Top Notes

  • Decentralized Control of DC Microgrids Using Interconnection and Damping Assignment Passivity-Based Control Technique: Experimental Verification
    IEEE Access
    2024 | Journal article
    DOI: 10.1109/ACCESS.2024.3463690
  • Enhancement of the Commandable Areas of a Modular DC–DC Converter With Anti-Windup Synthesis in Fuel Cell Systems
    IEEE Access
    2024 | Journal article
    DOI: 10.1109/ACCESS.2024.3423456
  • Sustainable Education for Sustainable Future: Art of Storytelling for Enhancing Creativity, Knowledge Retention on the Acme of Successful Education
    IEEE Access
    2024 | Journal article
    DOI: 10.1109/ACCESS.2024.3432030
  • A fast and precise double-diode model for predicting photovoltaic panel electrical behavior in variable environmental conditions
    International Journal of Ambient Energy
    2023-12-31 | Journal article
    DOI: 10.1080/01430750.2023.2173290
  • Revolutionizing Engineering Education: Exploring Experimental Video-on-Demand for Learning
    International Journal of Engineering Pedagogy (iJEP)
    2023-10-25 | Journal article
    DOI: 10.3991/ijep.v13i7.41683
  • Robust Flatness-Based Control With Nonlinear Observer for Boost Converters
    IEEE Transactions on Transportation Electrification
    2023-03 | Journal article
    DOI: 10.1109/TTE.2022.3192217
  • Cascaded Controller for Controlling DC Bus Voltage in Mismatched Input Powers
    IEEE Transactions on Power Electronics
    2022-11 | Journal article
    DOI: 10.1109/TPEL.2022.3186233
  • Operating Mode Analysis of a Modular Converter: Experimental Validation
    IEEE Transactions on Industry Applications
    2022-07 | Journal article
    DOI: 10.1109/TIA.2022.3171527

 

 

 

 

Ihsan Ullah | Neural Network | Best Researcher Award

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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 Ghani – Engineering 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 Ullah – Mathematics 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 Khan – IEEE Access (Cited by: 5) 🧠, 2023 📅
  • “Using a fuzzy credibility neural network to select nanomaterials for nanosensors” – SS Abosuliman, S Abdullah, I Ullah – Engineering 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 Ghani – Artificial 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 Ullah – Computers in Biology and Medicine 186, 109606 (Cited by: 0) 🏥, 2025 📅

 

 

 

Orelien BOUPDA | Energy | Best Researcher Award

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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

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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.

 

Kwan Woo Nam | Energy | Best Researcher Award

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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

Bowen Fu | Energy economics | Best Researcher Award

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Dr. Bowen Fu | Energy economics | Best Researcher Award

Dr. Bowen Fu, Beijing Institute of Technology, China

Dr. Bowen Fu demonstrates a strong academic background and a diverse range of research interests, making him a suitable candidate for the Best Researcher Award. His work spans across energy economics, environmental economics, and technology innovation, emphasizing sustainable development and carbon emission reduction. Here is a detailed evaluation of his qualifications:

Publication profile

Education Background 🎓

Dr. Fu is currently pursuing a PhD in Business Administration with a focus on Innovation and Sustainable Development at Beijing Institute of Technology. He also holds an MSc in Business Management from Hong Kong Polytechnic University and a Bachelor’s degree in Environmental Engineering from Northeast Agricultural University, complemented by a minor in Accountancy.

Research Areas 🔬

Dr. Fu’s research interests include Energy Economics, Environmental Economics, Technology Innovation, Enterprise Energy Saving and Emission Reduction, Carbon Emission Reduction, and Green Policy Assessment. His interdisciplinary approach addresses critical global challenges in sustainability and environmental impact.

Publications 📚                                                                                                                     

Dr. Fu has a robust publication record in high-impact journals. Notable works include:

                                                         

Research & Competitions 🏅

Dr. Fu actively participated in various research projects and competitions, such as:

  • Student Innovation & Practical Training Program: Conducted ecotoxicological research on petroleum pollution and studied the use of agricultural waste as adsorbents.
  • Math Innovation Cup: Led a team to develop allocation models for shared bicycles, showcasing his ability to apply mathematical models to real-world problems.

Internships & Professional Experience 💼

 

Dr. Fu gained valuable experience through internships at:

  • The Administrative Center for China’s Agenda 21: Assisted in improving reports on carbon emission data accounting and green technology innovation.
  • SPD Bank: Involved in planning an efficient online banking system and database operations.
  • Shandong Xinda Environmental Protection Technology Consulting Co., Ltd.: Collected and wrote environmental evaluation reports.
  • ByteDance: Worked as an HRBP intern, responsible for recruitment and data analysis.

Social Practice & Student Work 🌍

Dr. Fu has been actively involved in social practice and student organizations, demonstrating leadership and a commitment to community service:

  • Young Volunteers Service Center, NEAU: Participated in voluntary activities to support children and teenagers in poverty.
  • Liaison Dept., College Student Union, NEAU: Organized activities, coordinated with departments, and secured sponsorships from major companies.

Awards & Honors 🏆

Dr. Fu’s excellence is recognized through several prestigious awards:

  • Social Work Scholarship from Northeast Agricultural University.
  • Dean’s Scholarship, Doctoral Top Scholarship, and Outstanding Student Model from Beijing Institute of Technology.

Conclusion 📜

Dr. Bowen Fu’s impressive academic credentials, extensive research contributions, professional experience, and active involvement in social and student activities position him as a highly deserving candidate for the Best Researcher Award. His work significantly contributes to the fields of energy and environmental economics, aligning with the goals of sustainable development and innovation.

 

                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           

 

 

Minseok Ryu | Energy | Best Researcher Award

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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

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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