Hongwei Qu | Wind Turbines | Best Researcher Award

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Dr. Hongwei Qu | Wind Turbines | Best Researcher Award

Professor at northeast electric power university, China

Dr. Hongwei Qu is a Professor at Northeast Electric Power University, specializing in new energy, photovoltaic modules, and wind turbines. He leads the Jilin University-Enterprise Joint Technology Innovation Laboratory, focusing on solar panel efficiency, dust accumulation diagnosis, and wind turbine optimization. He has secured multiple research grants, published 20+ academic papers (SCI/EI-indexed), and holds six patents. His industry collaborations have resulted in cost-saving innovations worth over 20 million yuan. A recipient of the Jilin Provincial Science and Technology Progress Award, Dr. Qu is dedicated to advancing renewable energy solutions. ⚡📡🔍

 

Publication Profile

Scopus

Academic and Professional Background

Dr. Hongwei Qu, Ph.D., is an Associate Professor and Master’s Supervisor at the School of Energy and Power Engineering, Northeast Electric Power University. He leads the Jilin University-Enterprise Joint Technology Innovation Laboratory for New Energy Industry, focusing on renewable energy and energy storage. His research covers solar photovoltaic efficiency, dust accumulation diagnosis, hot spot and hidden crack EL detection, wind turbine blade wake analysis, and intelligent operation and maintenance of wind turbines. Dr. Qu’s work advances sustainable energy solutions, enhancing the efficiency and durability of solar and wind energy systems. ⚡🔍🌞

🚀 Research & Innovations

Dr. Hongwei Qu has made remarkable contributions to renewable energy research. He has participated in two projects under the National Natural Science Foundation of China Youth Fund and received the Second Prize of Jilin Provincial Science and Technology Progress 🏆. He has led multiple projects, including 2 by Jilin Science and Technology Department, 2 by Jilin Education Department, and 2 by Jilin Science and Technology Bureau, along with 20+ horizontal research projects. His work includes 20 academic papers 📄, 10+ indexed in SCI & EI, 6 invention patents, 9 software copyrights, and 1 textbook 📚, driving technological advancements in energy innovation. ⚡🌍

🌞🔬 Research Focus

Dr. Hongwei Qu’s research revolves around photovoltaic (PV) efficiency, dust accumulation effects, and advanced coatings for energy applications. His work covers dust deposition impact on PV output ⚡, localized shadowing effects, and fault diagnosis using probabilistic neural networks 🤖. He also explores temperature-dependent PV performance, optimal cleaning cycles for solar panels, and optical transmission models for dusty modules. His expertise extends to superhydrophobic PTFE coatings 🏭, anti-scale polydopamine coatings, and PV-PCM systems under varying tilt angles, wind conditions, and ambient temperatures 🌬️. His findings enhance renewable energy efficiency, sustainability, and smart PV maintenance. 🌍🔋

Publication Top Notes

🔹 Qu, H., Zhao, H., Wang, W., Zhang, J. (2025). Experimental study on the losses of dusty PV modules considering irradiance levels and tilt angles. Energy Reports. Cited by: 0 📄⚡

🔹 Guo, S., Deng, X., Guo, T., Li, X., Tian, J. (2025). Optimization of biomass torrefaction densification process parameters: Impact on hydrogen-rich syngas generation in the gasification process. Biomass and Bioenergy. Cited by: 0 🌱🔋

🔹 Guo, S., Gan, J., Yang, L., Li, X., Zhao, D. (2025). Simulation and mechanistic exploration of the mid to late-stage hydrothermal carbonization process in biomass. Process Safety and Environmental Protection. Cited by: 0 🔥🌍

Conclusion

Dr. Hongwei Qu is a highly suitable candidate for the Best Researcher Award due to his extensive contributions to renewable energy research, technological innovations, and industry collaborations. His work in solar photovoltaic efficiency, energy storage, and wind turbine optimization demonstrates a strong impact on both academia and industry. While his citation index and editorial appointments could be improved, his patents, funded projects, and cost-saving solutions position him as a leading researcher in the field of energy and power engineering.

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