Ihsan Ullah | Neural Network | Best Researcher Award

Published on by Global Academic Awards

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

 

 

Chun Wu | Energy Management | Best Researcher Award

Published on by Global Academic Awards

Mr. Chun Wu | Energy Management | Best Researcher Award

Mr. Chun Wu, Hohai University, China

Chun Wu is a PhD candidate at Hohai University’s School of Electrical and Power Engineering, specializing in electricity markets. His research focuses on energy management, carbon neutrality, and peer-to-peer energy trading. Chun has published several articles in Applied Energy and holds a patent for a photovoltaic-wave energy device. He has led key projects on energy internet systems and contributed to national research plans. Recognized with multiple scholarships and awards, including the Jiangsu Province “Energy Wisdom Innovation Future” Second Prize, Chun is known for his leadership, adaptability, and teamwork. 🌍⚡📚

 

Publication profile

Scopus

Education Background

Chun Wu has been pursuing his PhD at Hohai University’s School of Electrical and Power Engineering since November 2023, where he also serves as the PhD Class Leader. From 2018 to 2023, he studied at the School of Energy and Electrical Engineering at the same university, completing his PhD while holding leadership roles such as Doctoral Class Leader and Secretary of the Doctoral League Branch. Prior to this, he earned his Master’s degree from 2015 to 2018, during which he was the Chairman of the Institute’s Research and Science Association. His academic journey began with a Bachelor’s degree, where he served as Secretary General of the Student Union from 2011 to 2015. 🎓⚡

 

Research Contributions

Chun Wu has made significant contributions to the field of energy systems and power engineering, with multiple publications in high-impact journals like Applied Energy. Notably, his work on energy management systems and peer-to-peer energy trading for carbon neutrality shows a focus on sustainable energy solutions. His research aligns with critical global goals in carbon emission reduction and energy system optimization.

Project Experience

Chun Wu’s extensive project experience includes working on national key research and development plans, assisting in data analysis and simulations for large-scale energy systems. His involvement in multiple high-profile energy internet projects demonstrates his ability to bridge theory and practice in energy systems and smart grid technologies.

Publication Top Notes

  • Peer-to-peer energy trading optimization for community prosumers considering carbon cap-and-trade – Chun Wu, Chen, X., Hua, H., Shen, J., Ding, Y. | Applied Energy, 2024, vol. 358, p. 122611 | 📄 Cited by: 6
  • Design of Energy-Use Scoring Rule for Student Dormitories Based on Period and Electricity Analysis – Chun Wu, Chen, X., Gan, L., Yu, K. | IEEE EI2, 2019, pp. 2114–2119 | 📄 Cited by: 2
  • Economic dispatch of virtual power plant based on distributed primal-dual sub-gradient method – Chun Wu, Cao, C., Xie, J., Xu, S., Wang, J. | Chinese Control Conference, 2017, pp. 10517–10521 | 📄 Cited by: 3


Conclusion

Chun Wu’s academic excellence, leadership roles, notable research contributions, innovations, and project involvement, he stands as a strong candidate for the Best Researcher Award. His work in energy systems, particularly in the context of sustainable development and carbon neutrality, aligns with the award’s focus on impactful and forward-thinking research.

 

Aref Kazemi | Energy | Best Researcher Award

Published on by Global Academic Awards

Mr. Aref Kazemi | Energy | Best Researcher Award

Mr. Aref Kazemi, Sharif University of Technology Tehran, Iran

Based on the provided information, here’s an evaluation of Mr. Aref Kazemi for the “Best Researcher Award.” Each aspect of his profile is considered to determine his suitability for this recognition.

Publication profile

Work Experience 🛠️

Aref Kazemi has been working as a Senior Product Expert at Parman since October 2017. This role likely involves responsibilities related to product development, technical expertise, and project management. His experience in this position for over six years indicates his proficiency in managing technical projects and products, which could translate into strong research and development skills.

Conclusion: His work experience showcases a solid background in technical roles, but additional information about specific research projects or contributions to innovation would strengthen his case for a research-focused award.

Education 🎓

Aref Kazemi has an undergraduate degree in Electrical Engineering from Semnan University (2014-2018). He is currently pursuing a graduate degree in Energy Engineering at Sharif University of Technology, a prestigious institution in Tehran, starting from September 2022. This educational background suggests a strong foundation in technical and engineering disciplines, particularly in electrical and energy systems.

Conclusion: His educational qualifications are impressive and relevant to the fields of engineering and technology. However, further details about his research activities, publications, or thesis work would be beneficial to assess his suitability for a best researcher award.

Languages 🗣️

Mr. Kazemi is proficient in English, Azerbaijan, and Turkish. This multilingual capability is advantageous for international collaboration and accessing a broader range of academic and research materials.

Conclusion: Language skills are beneficial for research dissemination and collaboration, though they are supplementary to primary research accomplishments for award consideration.

Publication Top Note

Developing an optimization framework for capacity planning of hydrogen-based residential energy hub

Overall Conclusion 🏆

Mr. Aref Kazemi has a solid educational background and work experience in technical fields, suggesting potential for strong research capabilities. However, the information provided lacks specific details about his direct research contributions, publications, or involvement in innovative projects, which are critical for evaluating his candidacy for the “Best Researcher Award.” To strengthen his application, additional evidence of research activities, such as published papers, patents, or participation in significant research projects, would be necessary.