Oussama Khouili | Energy | Excellence in Research Award

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Mr. Oussama Khouili | Energy | Excellence in Research Award

National School of Scientific Applications, Morocco

Mr. Oussama Khouili is a PhD student at ENSA El Jadida, Chouaib Doukkali University, specializing in the integration of Artificial Intelligence and Renewable Energy with a focus on solar irradiance forecasting and photovoltaic system optimization. His research develops advanced Machine Learning and Deep Learning models, including ShuffleNet, CNNs, physics-guided networks, PCA-based transformations, FFT techniques, and metaheuristic optimization algorithms such as Particle Swarm Optimization. He has completed and is leading multiple projects on solar prediction accuracy, feature selection methods, smart grid technologies, and AI-driven renewable energy solutions. He has authored peer-reviewed articles in prestigious SCI and Scopus-indexed journals including Energy Strategy Reviews, International Journal of Energy Research, and IEEE Power Electronics Magazine, with 29 citations and an h-index of 2. He has also published four ISBN-indexed book chapters on AI applications in renewable energy and environmental management systems such as ISO 14001. Recognized with a Research Excellence Award, he actively contributes as an independent reviewer and collaborates internationally to bridge advanced computational intelligence with sustainable energy solutions addressing global climate challenges.

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Featured Publications

 

Prof. Dr. Chao Lyu | Energy | Best Researcher Award

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Prof. Dr. Chao Lyu | Energy | Best Researcher Award

Harbin Institute of Technology, China.

Prof. Chao Lyu is a distinguished scholar and researcher in electrical engineering, specializing in battery modeling, battery health management, and microgrid optimization. He is a Professor and Doctoral Supervisor at the Harbin Institute of Technology and a Senior Member of IEEE. With a strong academic background and over 50 research publications in international journals and conferences, Prof. Lyu has made significant contributions to the field of energy storage systems and lithium-ion battery technology. His expertise extends to fault diagnosis, performance evaluation, and optimization control methods for energy storage batteries, shaping advancements in sustainable energy solutions.

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🎓 Education

Prof. Chao Lyu holds a strong academic foundation in electrical engineering. He earned his B.Eng. in Electrical Engineering from Northeast Electric Power University, Jilin, China, in 2001, followed by an M.Sc. in Electrical Engineering from the same institution in 2004. His pursuit of advanced research led him to complete a Ph.D. in Electrical Engineering at Harbin Institute of Technology, China, in 2007. His academic journey has equipped him with extensive expertise in battery modeling, energy storage systems, and microgrid optimization, laying the groundwork for his impactful research and contributions to the field.

💼 Professional Experience

Prof. Chao Lyu is a Professor and Doctoral Supervisor at Harbin Institute of Technology, where he leads research in battery modeling, energy storage systems, and microgrid optimization. As a Senior Member of IEEE, he actively contributes to advancements in electrical engineering and battery technology. Beyond academia, he serves as a researcher and consultant, collaborating with State Grid Corporation of China and Guangdong Power Grid Co., Ltd on industry-driven projects focused on battery fault diagnosis, performance evaluation, and optimization control. His work bridges the gap between research and real-world applications, driving innovation in sustainable energy solutions.

🔬 Research Interests

Battery Modeling & Testing 🔋

Battery Health Management & Fault Diagnosis ⚡

Microgrid Optimization with Energy Storage 🏭

Lithium-ion Battery Performance & Safety 🔍

Artificial Intelligence for Battery Management 🤖

🏆 Awards & Recognitions

Senior Member, IEEE

Recognized Expert in Battery Technology & Microgrid Systems

📚 Selected Publications

Early Internal Short Circuit Diagnosis for Lithium-Ion Battery Packs Based on Dynamic Time Warping of Incremental Capacity – Batteries, 10(11), 378

Concurrent Multi-Fault Diagnosis of Lithium-Ion Battery Packs Using Random Convolution Kernel Transformation and Gaussian Process Classifier – Energy, 306, 132467 (3 citations)

Model-Free Detection and Quantitative Assessment of Micro Short Circuits in Lithium-Ion Battery Packs Based on Incremental Capacity and Unsupervised Clustering – International Journal of Electrochemical Science, 19(10), 100794 (1 citation)

Digital Twin Modeling Method for Lithium-Ion Batteries Based on Data-Mechanism Fusion Driving – Green Energy and Intelligent Transportation, 3(5), 100162 (3 citations)

Optimization of Lithium-Ion Battery Charging Strategies From a Thermal Safety Perspective – IEEE Transactions on Transportation Electrification, 10(2), pp. 2727–2739

 

 

 

Mr. Xinyang Yao | Energy | Best Researcher Award

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Mr. Xinyang Yao | Energy | Best Researcher Award

Xinjiang University, China.

Xinyang Yao is a dedicated postgraduate researcher specializing in underground coal gasification at the Xinjiang Key Laboratory for Geodynamic Processes and Metallogenic Prognosis of the Central Asian Orogenic Belt. With a strong theoretical foundation and hands-on experimental skills, Xinyang's research focuses on technological innovation in unconventional resource development. His work contributes to the advancement of efficient and safe gasification technologies, improving practical applications in the field.

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Education 🎓

Postgraduate degree in Underground Coal Gasification, specializing in geodynamic processes and metallogenic prognosis.

Experience 🔬

Joint research with PetroChina Xinjiang Oilfield Company, where Xinyang was responsible for numerical simulation in underground coal gasification. He has also actively contributed to research projects that optimize gasification schemes, focusing on induced fractures and stress concentration in practical UCG projects.

Research Interests 💡

Underground Coal Gasification (UCG)

Unconventional Resource Development

Geodynamic Processes

Numerical Simulation for UCG Applications

Publication 📚

Numerical simulations of fracture propagation in overlying strata for deep underground coal gasification using controlled retraction injection point technology

Journal: Energy

Published Year: 2025

Contributors: Xinyang Yao, Xin Li, Bo Wei, Jijun Tian, Shuguang Yang, Yiwen Ju

 

 

Assoc. Prof. Dr. Ruiming Fang | Photocatalysis | Best Researcher Award

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Assoc. Prof. Dr. Ruiming Fang | Photocatalysis | Best Researcher Award

Anhui University of Technology, China.

Fang Ruiming is an Associate Professor at the School of Energy and Environmental Engineering, Anhui University of Technology. Currently pursuing a Ph.D. jointly trained by Chongqing University and Nanyang Technological University, Singapore, his work centers on CO2 valorization and photocatalytic processes for hydrogen production. With over 400 citations across 20 publications in prestigious journals, including Journal of Materials Chemistry A and Energy and Fuel, he has garnered recognition through awards like the National Scholarship for Graduate Students in High-level University Construction and the Outstanding Graduate Student Honor from Chongqing University.

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Education 🎓

Dr. Ruiming Fang is currently pursuing his Ph.D. as a joint candidate between Chongqing University, China, and Nanyang Technological University, Singapore, specializing in energy and environmental engineering. This collaborative training program enables him to merge cutting-edge research approaches from two prestigious institutions. Prior to his Ph.D., he earned both his Master’s and Bachelor’s degrees in Energy and Environmental Engineering, laying a strong foundation in sustainable energy technologies, environmental processes, and advanced material applications. His academic journey reflects a commitment to tackling global energy and environmental challenges through innovative research and interdisciplinary collaboration.

Experience 💼

Dr. Ruiming Fang serves as an Associate Professor at the School of Energy and Environmental Engineering, Anhui University of Technology, where he contributes to advancing sustainable energy solutions. As a Guest Editor for the Special Issue "Impacts of Combustion and Thermo-Chemistry", he actively collaborates with the global research community to address pressing issues in energy transformation and carbon reduction technologies.

With a focus on CO2 valorization, photocatalysis, and hydrogen production mechanisms, Dr. Fang's research explores innovative pathways to sustainable energy generation. His work on catalytic systems and reaction mechanisms has provided groundbreaking insights into renewable energy processes, enhancing both academic and industrial applications.

Research Interests 🔬

CO2 Valorization

Innovative solutions to convert CO2 into valuable products

Photocatalysis

Mechanisms and material development for hydrogen production

Sustainable Energy Systems

Advanced catalytic systems such as borane-ammonia complexes

Awards 🏆

National Scholarship for Graduate Students in High-level University Construction
Outstanding Graduate Student Honor, Chongqing University

Selected Publications 📚

"Constructing and strengthening the 'Electron Bridge' of BMO/CPP to enhance photothermal synergistic catalytic CO2 reduction"
Wu, X., Guo, M., Wang, Z., ... He, J., Yang, Z.
Separation and Purification Technology, 2024, 345, 127330.
Cited by: 2 articles.

"Double defects cooperatively mediated BiOClBr-OV for efficient round-the-clock photocatalytic CO2 reduction"
Fang, R., Yang, Z., Wang, Z., ... Ran, J., Godin, R.
Fuel, 2024, 367, 131514.
Cited by: 5 articles.

"g-C3N4@CPP/BiOClBr-OV biomimetic fractal heterojunction synergistically enhance carrier dynamics for boosted CO2 photoreduction activity"
Fang, R., Yang, Z., Guo, M., ... Ran, J., Xue, C.
Applied Surface Science, 2024, 656, 159712.
Cited by: 3 articles.

"Dioxygen atom co-doping g-C3N4 for boosted photoreduction activity of CO2 and mechanistic investigation"
Jiang, Z., Guo, M., Yang, Z., ... Wang, Z., Ran, J.
Journal of Materials Chemistry A, 2024, 12(19), pp. 11591–11601.
Cited by: 3 articles.

"Synergistic mediation of dual donor levels in CNS/BOCB-OV heterojunctions for enhanced photocatalytic CO2 reduction"
Fang, R., Yang, Z., Sun, J., ... Wang, Z., Xue, C.
Journal of Materials Chemistry A, 2024, 12(6), pp. 3398–3410.
Cited by: 7 articles.

 

 

Dr. Zhonghua Liu | Petroleum engineering | Best Researcher Award

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Dr. Zhonghua Liu | Petroleum engineering | Best Researcher Award

Chongqing university of science and technology, China

Dr. Zhonghua Liu is an Associate Professor at the School of Petroleum and Natural Gas Engineering at Chongqing University of Science & Technology in China. With over a decade of experience in petroleum engineering, his work has primarily focused on shale gas development and reservoir characterization. Dr. Liu has also gained valuable international experience as a visiting scholar at Missouri University of Science and Technology. He has made substantial contributions to the understanding of gas recovery and multiphase flow in porous media, positioning him as a notable researcher in the field.

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Education🎓

Dr. Liu earned his Ph.D. in Oil & Gas Field Development Engineering from China University of Petroleum (East China) in 2022. Prior to this, he completed his M.S. in Oil & Gas Field Development Engineering at Chengdu University of Technology in 2012 and his B.S. in Petroleum and Natural Gas Engineering at Yangtze University in 2005. His academic journey laid a solid foundation for his research in petroleum and natural gas engineering, particularly in shale gas reservoir management.

Experience🧑‍🔬

Dr. Liu has a diverse professional background that spans academia and industry. He currently serves as an Associate Professor at Chongqing University of Science & Technology, a role he assumed in December 2022. Prior to this, he held a lecturer position at the same institution from 2012 to 2022 and served as a visiting scholar at Missouri University of Science and Technology in 2021. His industry experience includes his early role as an oil testing technician at Jilin Oilfield Company, where he developed practical insights into oil testing and reservoir management.

Research Interests🔬

Shale Gas Development

Dr. Liu’s primary research focuses on advancing shale gas development, where he investigates methods to optimize extraction processes and enhance gas yield. His work in this area contributes to increasing the efficiency and sustainability of shale gas production, addressing both technical and environmental challenges.

Core Pore Structure Characterization

Dr. Liu conducts detailed studies on the pore structure of shale formations to better understand how gas is stored and flows within these reservoirs. By characterizing core pore structures, he aims to refine models that predict gas behavior in unconventional reservoirs, which is crucial for effective extraction and management.

Geological Carbon Sequestration

In addition to gas extraction, Dr. Liu is engaged in research on geological carbon sequestration. His studies in this area are focused on the potential for storing CO₂ in depleted or active shale gas reservoirs, a process that can mitigate carbon emissions while enhancing gas recovery. This dual-purpose approach aligns with global efforts to reduce greenhouse gas emissions.

Enhancing Gas Recovery Methods

Dr. Liu is actively working on developing innovative methods for enhancing gas recovery from shale reservoirs. His research explores advanced techniques that improve the efficiency of gas extraction, including hydraulic fracturing optimization and multiphase flow analysis. These efforts are aimed at maximizing resource utilization and minimizing operational costs.

Multiphase Flow in Porous Media

A significant part of Dr. Liu’s research is dedicated to understanding multiphase flow within porous media. By studying how gas, water, and other fluids interact within shale formations, he seeks to create predictive models that improve our understanding of flow dynamics in complex geological structures. This research is essential for enhancing both extraction and storage strategies in shale gas reservoirs.

Honors and Awards🏆

Dr. Liu has been recognized for his contributions to the petroleum industry with several awards. Notably, he received the Second Prize of Scientific and Technological Progress from the China Petroleum and Chemical Automation Application Association in 2022 for his work on fractured horizontal wells in deep offshore shale gas reservoirs. This award highlights his innovative approach to enhancing the efficiency and effectiveness of gas extraction processes.

Publications Top Notes📚

Liu, Z., Ding, Z., Yang, H., et al. "Lab-Scale Investigation of Slickwater Impact on Methane Desorption on Longmaxi Gas Shale." Chemical Engineering and Technology, 2023. Link

Liu, Z., Xie, Y., Yang, H., et al. "Interaction between slick water and gas shale and its impact on methane desorption." Petroleum Science and Technology, 2023. Link

Liu, Z., Wang, J., Bai, B.J., et al. "Impact of clay stabilizer on the methane desorption kinetics of Longmaxi Shale." Petroleum Science, 2022. Link

Liu, Z., Bai, B.J., Wang, Y.L. "Experimental Study of Defoamer Effect on Methane Desorption." Springer Series in Geomechanics and Geoengineering, 2022. Link

 

 

 

 

 

 

 

Elaheh Yaghoubi | Energy | Best Researcher Award

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Dr. Elaheh Yaghoubi | Energy | Best Researcher Award

Electrical engineering of Karabuk university, Turkey

Dr. Elaheh Yaghoubi is a distinguished Electronic and Electrical Engineer with a robust expertise in power system analysis, microgrids, and renewable energy 🌿. Her work encompasses advanced topics such as model predictive controllers (MPC), artificial neural networks 🧠, and deep learning. Dr. Yaghoubi has managed quality control projects for sockets, plugs, wires, and cables in Iran, ensuring top-notch standards 🔌. She has also delved into the realms of plasmonic and nano-electronic devices 🧬, contributing to innovative research and development. Based in Karabuk, Turkey, Dr. Yaghoubi continues to push the boundaries of technology and engineering 🌟.

Professional Profile:

Education🎓

Dr. Elaheh Yaghoubi boasts an impressive academic background 📚. She has earned her Ph.D. in Electronic and Electrical Engineering, specializing in power systems and renewable energy technologies ⚡. Throughout her educational journey, she has developed a deep understanding of microgrids, smart grids, and model predictive controllers (MPC). Dr. Yaghoubi has also enhanced her expertise through various training programs, including Internet of Things (IoT) and Python programming 🖥️, solidifying her knowledge in cutting-edge technologies and their applications. Her continuous pursuit of learning has equipped her with the skills necessary to excel in both research and practical engineering environments 🧠🎓.

 

Professional Experience 📚

 

Dr. Elaheh Yaghoubi has garnered extensive professional experience in the field of electronic and electrical engineering 💼. She has played a pivotal role in the simulation and programming of microgrids and power systems at PEDAR Group, where she worked remotely to ensure high standards of quality and efficiency 🔌. Her expertise extends to quality control, having managed the quality control of sockets, plugs, electronic shields, wires, and cables at Standard Organization in both Tehran and Semnan, Iran 🛠️. Additionally, Dr. Yaghoubi has completed specialized training in ICDL, IoT, Python, Android app development with Kotlin, and PHP, further enhancing her technical capabilities and versatility in the engineering domain 🌐📱.

Research Interest 🔍

Dr. Elaheh Yaghoubi’s research interests span a broad spectrum of cutting-edge technologies and innovative fields 🌟. She delves into power system analysis, power system stability, and power management, focusing on the intricacies of microgrids and smart grids ⚡. Her work in renewable energies highlights her commitment to sustainable development and green technologies 🌱. Dr. Yaghoubi also explores advanced control methods like Model Predictive Controllers (MPC) and leverages the power of artificial neural networks, machine learning, and deep learning to solve complex problems 🤖. Furthermore, her research extends to plasmonic and nano-electronic devices, showcasing her versatility and passion for technological advancements at the microscopic scale 🔬.

Award and Honor🏆

Dr. Elaheh Yaghoubi has received several prestigious awards and honors in recognition of her outstanding contributions to the field of electronic and electrical engineering 🏅. She has been lauded for her innovative research and dedication to advancing technology, earning accolades such as the Best Research Paper Award and the Excellence in Research Award 🥇. Her work in renewable energies and power management has garnered international recognition, highlighting her commitment to sustainable development 🌍. Additionally, Dr. Yaghoubi has been invited to speak at numerous conferences and workshops, where she has shared her insights and expertise with peers and emerging engineers worldwide 🌐.

Research Skills🌟

Dr. Elaheh Yaghoubi is a highly skilled researcher in electronic and electrical engineering, possessing a diverse array of technical proficiencies 🧠. Her expertise encompasses power system analysis, power system stability, and power management ⚡. She is adept in the fields of microgrids, smart grids, and renewable energies, employing advanced methodologies such as model predictive controllers (MPC) and artificial neural networks 🤖. Dr. Yaghoubi’s research extends to plasmonics and nano-electronic devices, where she utilizes machine learning and deep learning techniques to drive innovation 🔬. Her proficiency in simulation and programming enhances her ability to develop and optimize complex power systems, making her a valuable asset in the realm of modern engineering 🌟

Achievements🏅

  • 🏆 Awarded the Best Research Paper at the International Conference on Power Systems in 2022.
  • 💡 Developed an innovative model predictive controller (MPC) for smart grids, significantly enhancing power management.
  • 🌍 Led a groundbreaking study on renewable energies, contributing to sustainable energy solutions.
  • 🥇 Recognized for her exceptional work in microgrid simulation and programming.
  • 🛠️ Successfully managed quality control projects for sockets, plugs, electronic shields, and cables, ensuring industry standards.
  • 📚 Published multiple high-impact research papers in prestigious journals, advancing knowledge in power systems and nano-electronic devices.
  • 🤖 Pioneered the integration of artificial neural networks in power system stability analysis, leading to improved system reliability.
  • 🔬 Contributed significantly to the field of plasmonics, earning accolades for her research innovations.
  • 🌟 Honored with the Outstanding Young Researcher Award by the Iranian Society of Electrical Engineers.
  • 🏅 Received multiple grants for her cutting-edge research projects on smart grids and renewable energy technologies.

Projects💻⚡

  • 🔋 Power System Stability Analysis: Developed advanced models to analyze and enhance the stability of power systems under various operational conditions.
  • ⚡ Microgrid and Smart Grids Simulation: Led the simulation and programming of microgrids, contributing to the development of smart grid technologies.
  • 🌞 Renewable Energy Integration: Designed and implemented systems for integrating renewable energy sources into existing power grids, promoting sustainable energy solutions.
  • 💻 Model Predictive Controller (MPC) Development: Created innovative MPC algorithms to optimize power management in smart grids, improving efficiency and reliability.
  • 🤖 Artificial Neural Network Application: Applied machine learning techniques to predict and mitigate power system instabilities, enhancing overall system performance.
  • 🏠 Quality Control of Electronic Shields: Managed quality control processes for home electronic shields, ensuring compliance with industry standards.
  • 🔌 Quality Control of Wires and Cables: Oversaw quality assurance projects for electrical wires and cables, maintaining high standards in manufacturing.
  • 📡 Internet of Things (IoT) and Python Training: Conducted training sessions on IoT applications and Python programming, fostering technological innovation.
  • 📱 Kotlin Android Apps and PHP Development: Developed Android applications using Kotlin and created dynamic web applications with PHP, showcasing versatility in software development.
  • 🌐 Plasmonic and Nano-Electronic Devices Research: Led research projects on plasmonic and nano-electronic devices, contributing to advancements in nano-technology and electronics.
Publications 📚
  • Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide
    • Authors: AA Faghani, E Yaghoubi, E Yaghoubi
    • Year: 2021
    • Citation: Optik 237, 166697 🌐🔬
  • The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems
    • Authors: M Khaleel, E Yaghoubi, E Yaghoubi, MZ Jahromi
    • Year: 2023
    • Citation: Int. J. Electr. Eng. and Sustain., 01-31 🔋🤖
  • Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide
    • Authors: AA Faghani, Z Rafiee, H Amanzadeh, E Yaghoubi, E Yaghoubi
    • Year: 2022
    • Citation: Optik 257, 168824 🔍📏
  • Electric vehicles in China, Europe, and the United States: Current trend and market comparison
    • Authors: M Khaleel, Y Nassar, HJ El-Khozondar, M Elmnifi, Z Rajab, E Yaghoubi, …
    • Year: 2024
    • Citation: Int. J. Electr. Eng. and Sustain., 1-20 🚗🌍
  • Reducing the vulnerability in microgrid power systems
    • Authors: Z Yusupov, E Yaghoubi, V Soyibjonov
    • Year: 2023
    • Citation: Science and innovation 2 (A5), 166-175 💡🔐
  • A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in the field of geotechnical engineering
    • Authors: E Yaghoubi, E Yaghoubi, A Khamees, AH Vakili
    • Year: 2024
    • Citation: Neural Computing and Applications, 1-45 🧠📊
  • Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller
    • Authors: Z Yusupov, E Yaghoubi, E Yaghoubi
    • Year: 2023
    • Citation: 2023 14th International Conference on Electrical and Electronics Engineering … ⚡📐
  • Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station
    • Authors: Z Yusupov, N Almagrahi, E Yaghoubi, E Yaghoubi, A Habbal, D Kodirov
    • Year: 2022
    • Citation: World Conference Intelligent System for Industrial Automation, 96-102 🌐🔋
  • A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
    • Authors: E Yaghoubi, E Yaghoubi, A Khamees, D Razmi, T Lu
    • Year: 2024
    • Citation: Engineering Applications of Artificial Intelligence 135, 108789 🚗🧠