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.

Aslan Gholami | Renewable Energy | Best Researcher Award

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Dr. Aslan Gholami | Renewable Energy | Best Researcher Award

Dr. Aslan Gholami, Shahid Beheshti University, Iran

Dr. Aslan Gholami 🎓🔬 is an accomplished mechanical engineer specializing in energy conversion and renewable energy systems. He earned his Ph.D. from Shahid Beheshti University (2017–2021), focusing on dust impact on photovoltaic panels, graduating with a GPA of 19.25/20. His M.S. (Isfahan University of Technology) and B.S. (University of Tehran) degrees further emphasized solar energy and nano-coating applications. Dr. Gholami, currently an Assistant Professor at Shahid Beheshti University, teaches solar energy and renewable systems. Honored with awards like Iran’s Best Ph.D. Thesis in Energy, he ranks among the top researchers in his field. His work pioneers sustainable energy solutions. 🌍☀️

 

Publication Profile

Google Scholar

Education and Academic Excellence 🎓✨

Dr. Aslan Gholami has an outstanding academic background in mechanical engineering with a focus on energy conversion. He earned his Ph.D. (2017–2021) from Shahid Beheshti University, excelling with a GPA of 19.25/20, where he conducted groundbreaking research on the dust impact on photovoltaic panel performance 🌞📉. His M.S. (2014–2016) from Isfahan University of Technology explored dust accumulation and nano-coating applications, achieving a GPA of 17.93/20 🌪️🧪. He completed his B.S. (2008–2014) at the University of Tehran, focusing on solar energy systems and earning top project scores 💡. A graduate of NODET High School (2004–2008), he consistently demonstrated academic excellence (19.87/20). 🏅

 

Honors and Awards 🏆🎖️

Dr. Aslan Gholami has been recognized for his exceptional academic and research achievements throughout his career. In 2023, he was ranked 1st among all Post-Doctoral Researchers at Shahid Beheshti University 🌟. He also held the top rank among Ph.D. mechanical engineering students in 2021 and won Iran’s Best Ph.D. Thesis Award in Energy from the Iranian Society of Mechanical Engineers 🥇. His accolades include scholarships from the National Elite Foundation and a Visiting Research Full Scholarship 🌍📚. Earlier, he ranked 1st in M.S. studies at Isfahan University and excelled in the Student Physics Laboratory Olympiad in 2007. 🚀

 

Work Experience and Research Contributions 💼🔬

Dr. Aslan Gholami has made significant contributions as an Assistant Professor at Shahid Beheshti University since 2022, teaching courses such as Solar Energy, Renewable Energies, and Energy Systems Design 🌞📚. He has also conducted advanced software training, including PVsyst, PVsol, and RETScreen 💻. Dr. Gholami investigated solar panel cleaning methods 🌍🔧. His work as a Research Assistant involved international collaborations with universities in Oman, Australia, France, Iraq, and Thailand, focusing on solar energy research 🔬🌐. Notably, he contributed to establishing Solar Thermal and Photovoltaic Laboratories and enhancing solar and wind energy industries’ resilience in collaboration with the National Elite Foundation 🚀⚡.

Research Focus

Dr. Aslan Gholami specializes in solar energy and renewable energy systems, with a particular focus on the impacts of dust accumulation on photovoltaic performance 🌍⚡. His research covers experimental and theoretical studies on solar panel efficiency, self-cleaning coatings, and multi-generation energy systems. Dr. Gholami also investigates photovoltaic modeling, sustainable energy solutions, and the effects of harsh weather conditions on solar energy technologies 💻🌡️. Collaborating internationally, his work supports cleaner energy production and resilience in renewable systems. His expertise extends to software training and optimization of renewable energy technologies for sustainable futures 🌿🚀.

 

Publication Top Notes

  • 🌞 Experimental investigation of dust deposition effects on photo-voltaic output performance – Cited by 292, 2018
  • 🌬️ Experimental study of factors affecting dust accumulation and their effects on the transmission coefficient of glass for solar applications – Cited by 194, 2017
  • 🧴 Experimental study of self-cleaning property of titanium dioxide and nanospray coatings in solar applications – Cited by 104, 2017
  • 🔧 Comprehensive analysis of a multi-generation energy system by using an energy-exergy methodology for hot water, cooling, power and hydrogen production – Cited by 102, 2018
  • ☀️ Photovoltaic potential assessment and dust impacts on photovoltaic systems in Iran – Cited by 94, 2020
  • 🌍 Experimental investigation of a multi-generation energy system for a nearly zero-energy park: A solution toward sustainable future – Cited by 77, 2019
  • 🤖 Multi-criteria photovoltaic potential assessment using fuzzy logic in decision-making: A case study of Iran – Cited by 59, 2020
  • 🏭 Integrated an innovative energy system assessment by assisting solar energy for day and night time power generation: Exergetic and Exergo-economic investigation – Cited by 59, 2018
  • 🔋 Electrical, thermal and optical modeling of photovoltaic systems: Step-by-step guide and comparative review study – Cited by 56, 2022
  • ☄️ Impact of harsh weather conditions on solar photovoltaic cell temperature: Experimental analysis and thermal-optical modeling – Cited by 51, 2023
  • 🌪️ Dust impact on photovoltaic/thermal system in harsh weather conditions – Cited by 51, 2022

 

 

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

 

 

Samia Moulebhar | Energy Award | Best Researcher Award

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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

 

 

Dharavath Anusha | Power Electronics | Best Researcher Award

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Ms. Dharavath Anusha | Power Electronics | Best Researcher Award

Ms. Dharavath Anusha, NATIONAL INSTITUTE OF TECHNOLOGY, India

Ms. Dharavath Anusha is an Electrical Engineer pursuing a Ph.D. from the National Institute of Technology, Warangal, specializing in High Gain Bidirectional DC-DC converters and Power Electronics ⚡. She holds an M.Tech. in Industrial Power and Automation from NIT Calicut and a B.Tech. in Electrical and Electronics Engineering from Balaji Institute of Technology, Warangal 🎓. Her research interests include renewable energy sources and designing high-gain DC-DC converters for electric vehicles and power systems 🌱. With several publications and technical expertise in MATLAB, d-space, and Python 💻, she actively contributes to advanced power electronics research.

 

Publication Profile

Google Scholar

Academic Qualifications

Ms. Anusha holds a Ph.D. from the National Institute of Technology (NIT) Warangal, focusing on High Gain Bidirectional DC-DC converters and Power Electronics. She also completed her M.Tech. in Industrial Power and Automation from NIT Calicut with distinction. Her B.Tech. in Electrical and Electronics Engineering was earned with distinction from Balaji Institute of Technology and Sciences, Warangal. She has a strong academic background that underpins her technical skills.

Areas of Interest

Her primary areas of interest include Renewable Energy Sources, Distributed Generation, and the Design of High-Gain DC-DC Power Converters. These areas align with her work in power electronics and renewable energy applications, making her a valuable contributor to the field.

Academic & Extracurricular Activities

She has actively participated in several technical programs and workshops, including training on National Instruments LabVIEW, OPAL-RT for HIL applications, and PLC-SCADA workshops. Her involvement in these activities shows her commitment to continuous learning and collaboration in the research community.

Conclusion

Ms. Dharavath Anusha’s academic credentials, technical expertise, research experience, and commitment to advancing power electronics and renewable energy systems make her a strong candidate for the Best Researcher Award. She has consistently demonstrated excellence through her projects and publications, aligning with the award’s objective of recognizing groundbreaking research.

 

Publication Top Notes

  • Ultra-fast DC charger with improved power quality and optimal algorithmic approach to enable V2G and G2V (Cited by: 12) 📄 | 2020
  • A novel single-input multi-port isolated bi-directional converter for EV applications (Cited by: 4) 📊 | 2021
  • A Review and Comprehensive Study on DC-DC Converters (Cited by: N/A) 📚 | 2024
  • Analysis and Design of transformer less Single Switch based High Gain DC-DC Converter for Renewable Energy Applications (Cited by: N/A) 🔋 | 2023