Rui Wang | Electrical Engineering | Best Researcher Award

Posted on by ScienceFather

Prof. Rui Wang | Electrical Engineering | Best Researcher Award

Prof. Rui Wang, Northeastern University, China

Dr. Rui Wang is a Professor at the College of Information Science and Engineering, Northeastern University, China. He specializes in energy internet, smart grids, stability analysis, and collaborative control strategies. Previously, he served as an Associate Professor at Northeastern University and worked at the National Natural Science Foundation of China. He has been a Visiting Scholar at Nanyang Technological University, Singapore. Dr. Wang has contributed significantly to power electronics, renewable energy systems, and microgrid stability. As an accomplished researcher, he has received numerous accolades for his publications and serves as an editorial board member and guest editor for prestigious IEEE journals.

Publication Profile

Scopus

Education 🎓📚

Dr. Rui Wang earned his Ph.D. in Power Electronics and Power Drive from Northeastern University, China (2016-2021). His doctoral research focused on advanced modeling techniques and stability control in smart grids. He completed his B.S. in Electrical Engineering and Automation from Northeastern University (2012-2016), where he developed a strong foundation in power systems, control strategies, and microgrid operations. Throughout his academic journey, he explored cutting-edge technologies in energy conversion, distributed control mechanisms, and DC microgrids, which laid the groundwork for his future research. His interdisciplinary knowledge integrates power systems, electronics, and control engineering, enabling innovative contributions to energy management and grid stability. His educational background supports his extensive research on stability-oriented control, power optimization, and distributed energy management, reflecting his dedication to advancing smart grid technologies and energy internet solutions.

Experience 🏢🔬

Dr. Rui Wang has held several key academic and research positions. Since January 2025, he has been a Professor at Northeastern University’s College of Information Science and Engineering. Previously, he served as an Associate Professor (2023-2024) and worked at the National Natural Science Foundation of China (2022), contributing to national energy research projects. From 2019 to 2020, he was a Visiting Scholar at Nanyang Technological University, Singapore, where he collaborated on energy internet and power electronics research. He has chaired multiple IEEE conferences and organized special sessions on power and renewable energy. His experience spans editorial roles for IEEE Transactions on Industrial Applications and IET Renewable Power Generation. Dr. Wang has been actively involved in microgrid stability research, multi-objective collaborative control, and power system optimization. His leadership in national and international projects has significantly contributed to developing robust and efficient smart grid systems.

Awards & Honors 🏆🎖

Dr. Rui Wang has received numerous prestigious awards recognizing his contributions to energy research. He was honored with the Best Paper Award from IEEE Transactions on Energy Conversion (2021) and IEEE Transactions on Consumer Electronics (2022). He also received the Best Reviewer Award from IEEE Transactions on Industrial Electronics and IEEE Transactions on Energy Conversion (2022). In 2023, he won the First Natural Science Award from both the Chinese Association of Automation and China Simulation Federation. Additionally, he was awarded the RINENG Distinguished Scientist and Young Investigator Award (2024). His excellence as an editorial board member and conference chair has been acknowledged through various IEEE recognitions. He has also been an Outstanding Reviewer for IEEE Transactions on Energy Conversion and Industrial Electronics (2022). His awards reflect his impactful research in power electronics, energy management, and smart grid optimization.

Research Focus 🔬⚡

Dr. Rui Wang’s research focuses on energy internet modeling, smart grids, and stability analysis. His work explores collaborative control strategies for microgrids, integrating renewable energy sources, and ensuring power system reliability. He specializes in dynamic aggregation modeling of boost converter systems, energy management in DC microgrids, and voltage/current control in distributed power systems. His research on multi-bus DC microgrids has contributed to stability-oriented droop coefficient identification, enhancing power flow optimization. He also investigates cyber-energy interactions, developing robust event-triggered control mechanisms for electric vehicle-to-grid systems. His work in artificial intelligence-based energy management strategies advances smart home power distribution. With a strong focus on multi-objective cooperative control, Dr. Wang’s research ensures efficient, stable, and scalable renewable energy integration, enhancing the resilience and sustainability of modern power networks. His contributions drive the future of energy-efficient, intelligent power systems. 🚀💡

 

Publication Top Notes

📄 Fully distributed energy management strategy for DC bus charging stations with three charging modes – R. Wang, X. Tian, Z. Wei, Q. Sun, P. Wang – Scientific Reports, 2025

⚡ A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid – L. Guo, X. Liu, X. Li, Z. Wang, Q. Sun – International Journal of Electrical Power and Energy System, 2025

🔋 Fixed-time quasi-consensus energy management method for battery energy storage systems in DC microgrids under two types of DoS attacks – L. Liu, K. Jiang, P. Xiong, R. Wang, Q. Sun – Journal of Energy Storage, 2025

🌍 Resilience enhancement strategy of multiple microgrids based on distribution station area considering two-level power management – X. Liu, X. Li, X. Li, H. Ren, Q. Sun – Energy, 2025

🛠️ Guaranteed Disturbance Compensation and Robust Fault Detection Based on Zonotopic Evaluation – S. Fu, R. Wang, W. Tang, X. Sun – International Journal of Robust and Nonlinear Control, 2025

⚙️ Transient Stability Analysis and Improvement of Multiinverter-Based Microgrid – D. Li, Q. Sun, R. Wang, X. Yu – IEEE Transactions on Industrial Electronics, 2025

📡 Data-Driven Dynamic Periodic Event-Triggered Control for Uncertain Linear Systems With Guaranteed Extended Dissipativity – W. Qi, Y. Wang, R. Wang, K. Liu – International Journal of Robust and Nonlinear Control, 2025

🌱 An equivalent thermal model for dynamic analysis of integrated electricity and heat systems for renewable energy accommodation – Q. Sun, R. Wang – IET Renewable Power Generation, 2025

🔗 Recursive Remote State Estimation for Stochastic Complex Networks with Degraded Measurements and Amplify-and-Forward Relays – T. Liu, Z. Wang, Y. Liu, R. Wang – IEEE Transactions on Network Science and Engineering, 2025

⚖️ Adaptive SOC equalization of an islanded DC microgrid considering line impedance and energy storage capacity – X. Liu, H. Cao, L. Lan, R. Wang, Q. Sun – Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2025

Conclusion

Rui Wang is a highly suitable candidate for the Best Researcher Award due to his strong publication record, leadership roles, national and international awards, and successful research funding. His expertise in Energy Internet and Smart Grid Stability aligns with pressing energy challenges. While increased industry collaboration and international funding could further enhance his profile, his current achievements make him a strong contender for the award.

 

Hala El-Khozondar | Solar Cells | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Hala El-Khozondar | Solar Cells | Best Researcher Award

Professor at Islamic University of Gaza, Palestine, State of

Professor Hala J. El-Khozondar is a distinguished physicist and electrical engineer, currently a Visiting Professor at Imperial College London and a Professor at the Islamic University of Gaza. With expertise in nanomaterials, photonics, and renewable energy, she has made significant contributions to science and education. She has held leadership roles, including department head and research committee chair. Her research spans optical sensors, solar cells, and nonlinear transmission lines. A mentor and advisor, she has supervised numerous students and research projects. Recognized globally, she has received multiple awards for her outstanding contributions to academia and scientific research.

Publication Profile

Google Scholar

Education Background📚🎓

Prof. El-Khozondar earned her Ph.D. in Physics with a minor in Electrical Engineering (1999) and a Master’s in Physics (1995) from New Mexico State University, USA. She previously obtained a Bachelor’s degree in Physics (1987) and a Teaching Certificate Diploma (1989) from Birzeit University, West Bank. Her postdoctoral research was conducted at the Max Planck Institute for Nuclear Physics, Germany. Throughout her academic journey, she has pursued advanced studies in nanotechnology, photonics, and engineering, collaborating with international institutions and contributing to groundbreaking research in material science and electrical engineering.

Professional Experience 🏫🔬

Prof. El-Khozondar is a Distinguished Professor at the Islamic University of Gaza and a Research Fellow at Imperial College London. She has served as the Head of the Electrical Engineering and Smart Systems Department and held leadership roles in quality assurance and research committees. Previously, she worked at the Technical University of Munich and was a Vice Dean for External Relations. Her teaching spans undergraduate and graduate levels, covering physics, electrical engineering, and renewable energy. She has supervised numerous students, contributed to academic policy, and played key roles in scientific collaborations.

Awards and Honors 🏆🎖

Prof. El-Khozondar has received numerous accolades, including the Palestinian Ministry of Higher Education’s Best Researcher Award (2023), IUG’s Best Research Prize (2021), and the TWAS-Aro Prize for Science Diplomacy (2018). She has been honored by ISESCO, DAAD, and the Alexander von Humboldt Foundation for her contributions to science. She is a Fellow of the Islamic World Academy of Sciences and TWAS. Recognized internationally, she has been awarded multiple research fellowships in Germany, Belgium, and Turkey. Additionally, she has been named a TUM Research Alumni Ambassador and recognized for excellence in academic publishing and science diplomacy.

Research Focus 🔬🌍

Prof. El-Khozondar specializes in nanomaterials modeling, photonic crystal-based optical sensors, and solar cell efficiency enhancement. Her work includes Monte Carlo simulations for material evolution, nonlinear transmission lines for microwave applications, and polarization rotation in optical fibers. She explores fiber Bragg grating sensors, electromagnetic radiation effects on tissues, and optical waveguides for nonreciprocal devices. Using MATLAB and OrCad, she develops models for photovoltaic performance. Her interdisciplinary research integrates physics, engineering, and materials science, driving innovation in renewable energy, sensor technologies, and photonics, with a focus on advancing smart systems and sustainable solutions for global scientific challenges.

Publication Top Notes

Design of an isolated renewable hybrid energy system: a case study ⚡🌍
Year: 2022 | Cited by: 113
A review study of photovoltaic array maximum power tracking algorithms ☀️🔋
Year: 2016 | Cited by: 112
Standalone hybrid PV/wind/diesel‐electric generator system for a COVID‐19 quarantine center 🏥🌬️🔋
Year: 2023 | Cited by: 92
Design of one-dimensional refractive index sensor using ternary photonic crystal waveguide for plasma blood samples applications 🩸🔬
Year: 2019 | Cited by: 92
Carbon footprint and energy life cycle assessment of wind energy industry in Libya 🌿💨⚙️
Year: 2024 | Cited by: 84

Conclusion

Professor Hala J. El-Khozondar is a distinguished researcher with a Ph.D. in Physics and a minor in Electrical Engineering, renowned for her contributions to nanomaterials, photonic structures, optical sensing, and renewable energy. With extensive research experience at prestigious institutions such as Imperial College London, Max Planck Institute, and the Technical University of Munich, her work has significantly advanced photonics, fiber optics, and solar energy applications. Her leadership roles as a department head, research committee chair, and quality assurance leader highlight her influence in academia, while her dedication to teaching and mentoring has shaped future generations of engineers and scientists. Recognized internationally, her impactful research and interdisciplinary contributions make her a highly deserving candidate for the Best Researcher Award.
  

 

Ihsan Ullah | Neural Network | Best Researcher Award

Posted on by ScienceFather

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

Posted on by ScienceFather

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

Posted on by ScienceFather

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

 

 

Obed Nelson ONSOMU | Energy | Best Researcher Award

Posted on by ScienceFather

Mr. Obed Nelson ONSOMU | Energy | Best Researcher Award

Researcher , ANKARA YILDIRIM BEYAZIT UNIVERSITY , Kenya
🌟 Obed Nelson Onsomu is a dedicated Energy Systems Engineer with a strong academic foundation, holding an MSc in Energy Systems Engineering and currently pursuing a Ph.D. in the same field. He has a deep interest in sustainable energy solutions, particularly in the optimization of energy systems and Virtual Power Plants (VPP). With extensive research experience, he is passionate about scaling energy systems for sustainable development. Obed combines his technical expertise with strong communication skills, making him a valuable contributor to the field of energy engineering.

Publication Profile

ORCID

Strengths for the Award

  1. Strong Academic Background: Obed Nelson Onsomu holds an MSc in Energy Systems Engineering and is currently pursuing a Ph.D. in the same field. His focus on Virtual Power Plants (VPP) demonstrates a strong alignment with contemporary research areas in energy systems.
  2. Extensive Research and Technical Expertise: He has specialized skills in distributed generation, optimization of energy systems, and electricity markets. His experience with MATLAB-Simulink, C, C++, Python, and SCADA systems further solidifies his technical proficiency.
  3. Diverse Professional Experience: Onsomu has a solid track record as an R&D Project Engineer, where he worked on significant projects like developing a PID controller for energy storage systems. His roles have included project management, system design, and simulation, showcasing his ability to handle complex technical challenges.
  4. International Experience and Communication Skills: His work experience across different countries (Turkey and Kenya) highlights his adaptability and ability to work in multicultural environments. His proficiency in multiple languages, including English, Swahili, and Turkish, is an asset for international collaboration.
  5. Publications and Certifications: His publications on Virtual Power Plants and certifications in IoT, Blockchain, and Embedded Systems reflect his commitment to continuous learning and contribution to the field of energy systems.

Areas for Improvement

  1. Increased Research Output: While Onsomu has relevant publications, increasing the number and impact of his research publications, particularly in high-impact journals, could strengthen his candidacy.
  2. Expanded Network and Collaboration: Engaging in more collaborative research projects and international conferences could enhance his visibility and networking within the academic community.
  3. Focus on Innovation and Commercialization: While his technical skills are strong, focusing on the practical application and commercialization of his research, especially in energy markets, could add a valuable dimension to his work.

 

Education

🎓 Obed Nelson Onsomu has an impressive educational background in engineering. He earned his Bachelor of Science (B.S.) in Mechatronic Engineering from the University of Turkish Aeronautical Association, Ankara, Turkey, in 2017. He then completed his MSc in Energy Systems Engineering in 2020 from Yildirim Beyazit University, Ankara, Turkey. Currently, Obed is pursuing a Ph.D. in Energy Systems Engineering, focusing on Virtual Power Plants, from the same university, expected to complete in December 2023.

Experience

💼 Obed Nelson Onsomu has a diverse range of professional experiences. Since January 2020, he has been working as an R&D Project Engineer at INAVITAS in Turkey, where he has been involved in developing PID controllers for energy storage systems and working on grid-renewable power exchange projects. He also has experience as a Sales Engineer, Manager, STEM Instructor, and Installation Specialist, demonstrating his versatility and leadership in various roles across the energy and education sectors.

Research Focus

🔬 Obed Nelson Onsomu is primarily focused on research related to Virtual Power Plants (VPP), distributed generation, and the optimization of energy systems. His Ph.D. thesis is centered on the application of VPPs in sustainable energy development. He has also worked extensively on topics such as electricity markets, energy storage systems, and renewable energy integration.

Awards and Honours

🏅 Obed Nelson Onsomu has been recognized for his academic and professional contributions, although specific awards and honors are not detailed. His continued pursuit of excellence in his Ph.D. studies and professional projects reflects his commitment to advancing the field of energy systems engineering.

Publications Top Notes

  1. “Virtual Power Plant Application for Rooftop Photovoltaic Systems” – Published in [Journal Name, Year], cited by [Number of Articles].
  2. “Virtual Power Plant for Kenya Rural Energy Needs” – Published in [Journal Name, Year], cited by [Number of Articles].

Conclusion

Obed Nelson Onsomu demonstrates strong potential as a candidate for the Research for Best Researcher Award. His academic background, research expertise, and international experience make him a suitable contender. However, to enhance his candidacy, he could focus on increasing his research output, expanding his academic network, and emphasizing the practical impact of his work in the energy sector. Overall, he is a promising researcher with the potential to make significant contributions to the field of energy systems engineering.