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.

Citation Metrics (Scopus)

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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

 

 

 

Milad Adelifar | Solar energy | Excellence in Research

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Mr. Milad Adelifar | Solar energy | Excellence in Research

Research Scholar, K. N. Toosi University of Technology, Iran

Milad Adelifar is a highly motivated Mechanical Engineer with a strong academic background and a keen interest in renewable energy, CFD, and heat transfer analysis. He holds a Master of Science in Mechanical Engineering from K. N. Toosi University of Technology and is proficient in software such as COMSOL Multiphysics and Ansys Fluent. Milad is eager to contribute to innovative research and development projects and aims to continue his studies at the Ph.D. level.

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Education 🎓

Mr. Milad Adelifar earned a Master of Science in Mechanical Engineering with a focus on Energy from K. N. Toosi University of Technology, Tehran, Iran, completing the program from September 2020 to January 2023. Prior to this, Mr. Adelifar obtained a Bachelor of Science in Mechanical Engineering from Esfarayen University of Technology, Esfarayen, Iran, where he studied from September 2014 to January 2020.

Experience 💼

Mr. Milad Adelifar is currently working as a Mechanical Engineer specializing in Filtration Process Design at JDEVS Company in Tehran, Iran, a position he has held since April 2022.

Research Interests 🔬

Mr. Milad Adelifar’s research interests are centered on Renewable Energy, with a particular emphasis on Solar Energy. He is also deeply engaged in the fields of Computational Fluid Dynamics (CFD) and Heat Transfer Analysis. These areas of focus reflect his commitment to advancing sustainable energy solutions and his expertise in the complex dynamics of fluid behavior and thermal processes.

Publications 📚

Investigating and comparing the effect of angle of attack in two airfoil samples on pressure contours using Ansys Fluent software. Authors: Mohammad Hatami, Milad Adelifar. The 6th National Conference of Applied Researches in Electrical, Mechanical, and Mechatronics Engineering (2020), Iran. link

Investigating the power and efficiency of the 3D model of the concentrated photovoltaic thermoelectric hybrid system and estimating the power consumption of the water pump for cooling. Authors: Milad Adelifar, Cyrus Aghanajafi Energy (2024). link