likui qiao | Engineering | Best Researcher Award

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Dr . likui qiao | Engineering | Best Researcher Award

PhD student at shenyang university of technology , China

Qiao Likui is a highly capable and promising early-career researcher specializing in fault diagnosis and intelligent monitoring of complex electromechanical systems. With a strong academic record, he has published multiple first-author papers in top-tier journals such as Mechanical Systems and Signal Processing and Expert Systems With Applications, showcasing expertise in deep learning, meta-learning, and multi-task learning. His research demonstrates both theoretical depth and practical relevance, particularly in the field of wind energy. He has received prestigious honors including the National Scholarship and President’s Scholarship, and actively contributes to the academic community as a reviewer for leading journals. Additionally, his involvement in patents and book chapters reflects a commitment to knowledge application and dissemination. While further international exposure and independent research leadership could enhance his profile, Qiao’s outstanding achievements, technical skills, and dedication to advancing the field make him a strong and deserving candidate for the Best Researcher Award.

Professional Profile 

Education🎓

Qiao Likui has pursued his entire higher education at Shenyang University of Technology, demonstrating consistent academic excellence. He earned his Bachelor’s degree in Automation from the School of Electrical Engineering in 2019, where he built a strong foundation in electrical and control systems. Immediately after, he entered a direct Ph.D. program in Electrical Engineering (rated B+), continuing at the same institution. His doctoral studies, expected to be completed by June 2025, have focused on advanced topics including fault diagnosis, machine learning, and intelligent energy systems. During his academic journey, he has undertaken rigorous coursework in subjects such as circuits, power electronics, digital and analog electronics, automatic control principles, artificial intelligence, and specialized studies in wind power generation. This educational background, combining theoretical knowledge with practical application, has prepared him well for high-impact research and innovation in intelligent fault monitoring and predictive maintenance of electromechanical systems.

Professional Experience📝

Qiao Likui has developed a robust professional research profile through his doctoral studies and collaborative projects at Shenyang University of Technology. Although primarily engaged in academia, he has amassed significant experience in applied research related to intelligent fault diagnosis, condition monitoring, and predictive maintenance of complex electromechanical systems. He has actively contributed to multiple high-impact research projects, co-authoring journal papers and conference proceedings that involve cutting-edge techniques such as meta-learning, deep learning, and multi-task learning. His work often bridges theoretical innovation with engineering application, particularly in wind turbine systems. Qiao also played a key role in drafting a national patent and contributed a chapter to a professional textbook on virtual power plant management. His software proficiency in MATLAB, SolidWorks, PyCharm, and LaTeX has supported his research execution and publication. In addition, his role as a peer reviewer for leading IEEE and international journals reflects his growing influence and credibility in the research community.

Research Interest🔎

Qiao Likui’s research interests lie at the intersection of intelligent systems and advanced diagnostics for complex electromechanical equipment. His primary focus is on fault diagnosis, fault prediction, and condition monitoring, with an emphasis on improving the reliability and efficiency of systems such as wind turbines and integrated energy networks. He is particularly interested in leveraging cutting-edge machine learning techniques, including deep learning, meta-learning, and multi-task learning, to develop intelligent models capable of accurate detection and prediction under limited data conditions. His work aims to enhance the operational performance and predictive maintenance of energy systems by enabling smarter, data-driven decision-making. Qiao is also passionate about exploring the integration of artificial intelligence with renewable energy applications, contributing to sustainable and intelligent energy management. His research not only addresses academic challenges but also targets real-world engineering problems, positioning him to make meaningful advancements in the field of intelligent monitoring and energy system optimization.

Award and Honor🏆

Qiao Likui has received numerous prestigious awards and honors in recognition of his outstanding academic and research performance. He was awarded the National Scholarship in 2023, one of the highest honors for graduate students in China, reflecting his excellence in both academic achievement and research contributions. He has also been the recipient of the President’s Scholarship and multiple First-Class Scholarships from Shenyang University of Technology between 2022 and 2025. His consistent dedication earned him titles such as Outstanding Graduate Student and Excellent League Member. In addition to academic honors, he has demonstrated innovation and problem-solving skills through national competitions, securing prizes such as the Third Prize in the 7th “Internet+” Innovation and Entrepreneurship Competition, and Second Prize in the National College Students’ Electrical Mathematics Modeling Competition. These accolades highlight his academic rigor, innovative thinking, and strong potential as a leading young researcher in the field of intelligent energy systems.

Research Skill🔬

Qiao Likui possesses a strong set of research skills that underpin his success as an emerging scholar in intelligent electromechanical systems. He is proficient in applying advanced machine learning techniques—such as deep learning, meta-learning, and multi-task learning—to complex problems in fault diagnosis and predictive maintenance. His ability to design, train, and optimize data-driven models enables him to extract meaningful insights from limited or noisy data, making his research both robust and applicable to real-world energy systems. Qiao is highly skilled in using industry-standard engineering and analysis software, including MATLAB, SolidWorks, Origin, and PyCharm, which supports both simulation and experimental validation of his research. He is also adept in academic writing and LaTeX typesetting, ensuring clarity and professionalism in his publications. His experience as a peer reviewer for top-tier journals further reflects his critical thinking, technical judgment, and deep understanding of the research landscape in artificial intelligence and energy systems.

Conclusion💡

Qiao Likui is a highly promising early-career researcher with significant achievements in AI-driven fault detection for energy systems, excellent publication record, strong academic awards, and active peer-review roles. His work demonstrates both technical depth and research impact, particularly in the fields of wind energy systems and machine learning applications.

Verdict:
He is a strong candidate for the Best Researcher Award in the Ph.D. or Early Career Researcher category. While a few areas—like international visibility and leadership independence—could be enhanced, his current trajectory clearly reflects excellence, innovation, and commitment to solving critical real-world problems.

Publications Top Noted✍

  • Title: Fault detection in wind turbine generators using a meta-learning-based convolutional neural network
    Authors: L. Qiao, Y. Zhang, Q. Wang
    Year: 2023
    Citations: 32

  • Title: Fault diagnosis for wind turbine generators using normal behavior model based on multi-task learning
    Authors: Y. Zhang, L. Qiao, M. Zhao
    Year: 2023
    Citations: 11

  • Title: Fault diagnosis of permanent magnet synchronous motor based on improved probabilistic neural network
    Authors: X. Dai, Y. Zhang, L. Qiao, D. Sun
    Year: 2021
    Citations: 9

  • Title: Deep reinforcement learning based approach for real-time dispatch of integrated energy system with hydrogen energy utilization
    Authors: Y. Han, Y. Zhang, L. Qiao
    Year: 2022
    Citations: 6

  • Title: Cathode sheath parameters and their influences on arc root behavior after liquid metal bridge rupture in atmospheric air
    Authors: S. Peng, J. Li, J. Yang, L. Yu, Y. Cao, S. Liu, L. Qiao
    Year: 2023
    Citations: 5

  • Title: Fault diagnosis for wind turbine generators based on Model-Agnostic Meta-Learning: A few-shot learning method
    Authors: L. Qiao, Y. Zhang, Q. Wang, D. Li, S. Peng
    Year: 2024
    Citations: 3

  • Title: Joint forest fire rescue strategy based on multi-agent proximal policy optimization
    Authors: J. Zhang, Y. Zhang, L. Qiao
    Year: 2022
    Citations: 3

  • Title: A deep neural networks based on multi-task learning and its application
    Authors: M. Zhao, Y. Zhang, L. Qiao, D. Sun
    Year: 2021
    Citations: 3

  • Title: Few-shot fault diagnosis for pitch system of wind turbines based on prototypical network with Mahalanobis distance
    Authors: J.J. Yao, Y. Zhang, L. Qiao
    Year: Not listed (assumed 2023/2024)
    Citations: Not listed

 

Mohamed Saber | Hydropower | Best Researcher Award

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Mr. Mohamed Saber | Hydropower | Best Researcher Award

Lecturer Assisstant at Zagazig University, Egypt

Mohammed Al-Desouky is a promising researcher with a strong focus on water structures and sustainable energy, particularly in the field of hydropower. His M.Sc. thesis and recent publication on pico hydropower design reflect his expertise in energy harvesting and environmental engineering. He possesses a diverse skill set, including proficiency in simulation tools like ANSYS Fluent and CFD analysis, as well as structural design software. Additionally, his practical experience as a civil hydraulic engineer and a co-founder of a construction company enhances his ability to apply research to real-world problems. However, his publication record is limited to one journal article, and his academic qualifications are still in progress, with his M.Sc. set to be completed in 2025. To further elevate his research profile, expanding his publication portfolio, engaging in international collaborations, and completing a Ph.D. would strengthen his candidacy for the Best Researcher Award.

Professional Profile 

Education🎓

Mohammed Al-Desouky holds a Bachelor’s degree in Civil Engineering from Zagazig University, Egypt, where he graduated with honors in 2019, achieving an impressive overall grade of 88.65%. Currently, he is pursuing a Master of Science (M.Sc.) in Water and Water Structures Engineering at Zagazig University, with an expected completion in 2025. His M.Sc. research focuses on the investigation of energy harvesting through water wheels at low-head hydraulic structures, which reflects his interest in sustainable energy solutions. This advanced study builds on his strong foundation in civil engineering, particularly in the field of hydraulics and fluid mechanics. Mohammed’s academic journey has been complemented by practical internships and training in the engineering sector, further enhancing his knowledge and skill set in both theoretical and applied aspects of his field. His ongoing education positions him as a developing expert in water engineering and energy systems.

Professional Experience📝

Mohammed Al-Desouky has gained significant professional experience in both academic and practical engineering roles. Since December 2019, he has served as a Teaching Assistant at Zagazig University, where he supports courses and labs in water structures, hydraulics, and fluid mechanics, contributing to curriculum development and student assessments. Additionally, he supervises lab experiments and provides academic guidance to students on their graduation projects. Alongside his academic work, Mohammed has worked as a Civil Hydraulic Engineer in the Irrigation and Hydraulics Lab at the same university, where he conducts experimental and computational research on open channel flow and hydraulic structures. His freelance work as a Structural Design Freelancer from January 2020 to March 2021 involved providing structural design services for residential and commercial buildings, utilizing software such as SAP2000 and ETABS. Mohammed is also a co-founder of a construction company, where he manages contracting services and ensures quality control in project delivery.

Research Interest🔎

Mohammed Al-Desouky’s research interests are primarily focused on water and hydraulic engineering, with a particular emphasis on sustainable energy solutions and fluid dynamics. His current research explores the innovative use of energy harvesting through water wheels at low-head hydraulic structures, aiming to improve energy efficiency in water systems. He is keen on advancing the integration of renewable energy technologies, specifically in the realm of pico hydropower generation, which aligns with global efforts toward energy sustainability. Mohammed’s work also delves into computational fluid dynamics (CFD) simulations to analyze fluid flow, heat transfer, and hydraulic behavior in civil engineering applications. This includes using tools like ANSYS Fluent and FLOW-3D for complex simulations. His broader research scope spans open channel flow, hydraulic structures, and irrigation systems, focusing on optimizing water resource management and infrastructure performance. Through these research areas, Mohammed seeks to contribute to both environmental sustainability and engineering innovation.

Award and Honor🏆

Mohammed Al-Desouky has demonstrated notable academic and professional achievements throughout his career. While he is still early in his research journey, his dedication has already earned him recognition within his field. His M.Sc. thesis on energy harvesting through water wheels at low-head hydraulic structures exemplifies his commitment to sustainable energy research. Mohammed’s recent publication in the renowned journal Renewable Energy in 2024, titled “Techno-economic assessment of the Dethridge waterwheel under sluice gates in a novel design for pico hydropower generation,” highlights his growing contribution to the field of renewable energy. Furthermore, his academic excellence is reflected in his exceptional performance during his undergraduate studies, where he graduated with honors in Civil Engineering from Zagazig University. Mohammed’s involvement in various engineering projects, internships, and his leadership role as a co-founder of a construction company also demonstrate his entrepreneurial spirit and practical expertise, further solidifying his profile for future awards and honors.

Research Skill🔬

Mohammed Al-Desouky possesses a diverse and strong set of research skills that support his work in water and hydraulic engineering. He is proficient in Computational Fluid Dynamics (CFD), with hands-on experience using advanced simulation tools like ANSYS Fluent and FLOW-3D to analyze fluid flow, heat transfer, and hydraulic behavior in civil engineering systems. Mohammed’s expertise extends to structural and numerical analysis, where he utilizes software such as SAP2000, ETABS, SAFE, and AutoCAD for structural modeling, load analysis, and design of reinforced concrete and steel structures. His ability to conduct both experimental and computational research is demonstrated through his work on open channel flow and hydraulic structures in the Irrigation and Hydraulics Lab at Zagazig University. Additionally, his proficiency in 3D modeling using SOLIDWORKS and AutoCAD enhances his capacity to create detailed models for CFD simulations. These technical skills, combined with his analytical approach, enable him to address complex engineering challenges effectively.

Conclusion💡

Mohammed Al-Desouky shows exceptional promise as a researcher, with a clear focus on sustainable energy and hydraulic structures, supported by robust technical skills, real-world application, and a recent impactful publication. However, his current academic stage (still completing M.Sc.), limited publication history, and absence of international research exposure suggest that while he is on the path toward excellence, he may be more suitable for an “Emerging Researcher” or “Young Innovator” award at this time.

Publications Top Noted✍️

Title: Techno-economic assessment of the Dethridge waterwheel under sluice gates in a novel design for pico hydropower generation
Authors: M Saber, G Abdelall, R Ezzeldin, AF AbdelGawad, R Ragab
Journal: Renewable Energy
Volume: 234
Article Number: 121206
Year: 2024
Cited by: 1

Faiza Tufail | Renewable energy | Best Researcher Award

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Dr . Faiza Tufail | Renewable energy | Best Researcher Award

Researcher at Quaid-i-Azam university,Pakistan

Dr. Faiza Tufail is a dedicated researcher in pure mathematics with a strong academic foundation and a focus on fuzzy algebraic structures, rough sets, and decision-making theories. She has authored several impactful SCIE-indexed publications in reputed journals like IEEE Access and Physica Scripta, reflecting both theoretical depth and applied relevance, particularly in renewable energy and machine learning contexts. Her international exposure through research collaboration and a scholarship-supported visit to Ghent University further enhances her global academic profile. Dr. Tufail is also an active peer reviewer for well-known journals, demonstrating her engagement with the broader research community. Her work is distinguished by its originality, interdisciplinary applications, and strong methodological foundations. While she could further strengthen her profile through independent grant leadership and broader academic outreach, her current contributions clearly establish her as a rising and impactful researcher. Overall, she is highly deserving of consideration for the Best Researcher Award.

Professional Profile

Education🎓

Dr. Faiza Tufail possesses a robust academic background in mathematics, marked by consistent excellence and specialization in pure mathematics. She earned her Ph.D. from Quaid-i-Azam University, Islamabad (2019–2024), with part of her research conducted at Ghent University, Belgium, under a prestigious Higher Education Commission (HEC) scholarship. Her doctoral thesis focused on advanced topics such as covering-based rough bipolar fuzzy sets and their applications in decision-making systems. Prior to this, she completed her M.Phil. in Pure Mathematics (2016–2018) at Quaid-i-Azam University, where she explored bipolar fuzzy ideals in ring theory. She also holds an MSc in Mathematics from the University of Gujrat (2014–2016), where her thesis centered on coset diagrams in group theory. Each academic step reflects a deepening of her expertise in both abstract mathematical theory and practical modeling techniques, forming a strong foundation for her impactful research contributions in hybrid algebraic structures and computational decision models.

Professional Experience📝

Dr. Faiza Tufail has developed a strong professional profile through her academic and research roles in the field of mathematics. During her Ph.D. studies at Quaid-i-Azam University, she actively engaged in research projects focused on fuzzy logic, soft sets, and decision-making models, contributing to several high-impact publications. Her international research experience at Ghent University, Belgium, under the HEC’s IRSIP scholarship, provided her with advanced training in data analysis and mathematical modeling. She has collaborated with international researchers, contributing to multidisciplinary projects in   and artificial intelligence. Additionally, Dr. Tufail has served as a reviewer for several reputed journals, including IEEE Access, Soft Computing, and Scientific Reports, reflecting her recognition in the academic community. Her technical proficiency with tools such as MATLAB, Python, Mathematica, and Overleaf further supports her research capabilities. Although primarily research-focused, her involvement in seminars and workshops demonstrates her commitment to academic engagement and professional development.

Research Interest🔎

Dr. Faiza Tufail’s research interests lie at the intersection of theoretical mathematics and applied computational models, with a strong emphasis on decision-making systems. Her work primarily focuses on fuzzy algebraic structures, covering-based rough sets, bipolar fuzzy soft sets, and their hybrid generalizations. She is particularly interested in exploring how these abstract mathematical frameworks can be applied to real-world problems, especially in the fields of artificial intelligence, renewable energy optimization, and machine learning. Dr. Tufail has developed innovative multi-criteria decision-making (MCDM) models using techniques like VIKOR, TOPSIS, and PROMETHEE, tailored to address complex evaluation and ranking problems. She is also deeply engaged in studying aggregation operators and pseudo-ordered structures, with applications in intelligent systems. Her interdisciplinary approach combines rigorous mathematical theory with practical implementation, making her research highly relevant for both academic advancement and industrial application. This blend of abstraction and utility defines her ongoing and future research direction.

Award and Honor🏆

Dr. Faiza Tufail has received several notable awards and honors that reflect her academic excellence and research potential. She was awarded a prestigious Ph.D. fellowship from Quaid-i-Azam University, Islamabad, which supported her advanced studies in pure mathematics. Additionally, she earned a highly competitive international research scholarship under the Higher Education Commission’s International Research Support Initiative Program (IRSIP), enabling her to conduct part of her doctoral research at Ghent University in Belgium. This opportunity not only enriched her research experience but also facilitated international collaboration. Earlier in her academic journey, she was recognized with a merit-based laptop under the Prime Minister’s National Laptop Scheme in 2016, awarded for her outstanding academic performance. These accolades highlight her dedication to research and her ability to meet rigorous academic standards. Collectively, these honors underscore Dr. Tufail’s standing as a promising scholar with strong potential for continued contributions to mathematics and interdisciplinary research.

Research Skill🔬

Dr. Faiza Tufail possesses a diverse and advanced set of research skills that enable her to conduct high-level theoretical and applied investigations in mathematics. She is proficient in mathematical modeling, particularly in the areas of fuzzy logic, rough sets, soft computing, and decision-making systems. Her expertise includes designing and analyzing multi-criteria decision-making (MCDM) frameworks, applying advanced techniques such as TOPSIS, PROMETHEE, VIKOR, and WASPAS. Dr. Tufail is skilled in using computational tools including MATLAB, Python, Mathematica, and Overleaf for mathematical simulations, symbolic computations, and documentation. Her ability to integrate abstract mathematical structures with real-world applications, such as energy project evaluations and machine learning models, reflects her analytical thinking and problem-solving capabilities. Additionally, she has experience in peer reviewing for international journals, which enhances her critical evaluation and research assessment skills. These competencies collectively highlight her as a capable and well-rounded researcher in both theoretical and applied mathematical sciences.

Conclusion💡

Dr. Faiza Tufail demonstrates clear excellence in research with high-quality publications, international collaborations, and expertise in mathematical modeling with real-world applications. Her profile strongly supports her candidacy for the Best Researcher Award, especially within the early-to-mid career bracket.

While there is room for growth in areas like grant leadership and academic service, her accomplishments so far are noteworthy and competitive, especially considering the technical depth and novelty of her work.

Publications Top Noted✍

1. Title: An Enhanced Machine Learning Covering-Based Bipolar L-Fuzzy Rough Set PROMETHEE Model for Battery Storage Systems in Renewable Energy

  • Authors: Faiza Tufail, Rizwan Gul, Muhammad Shabir, Samaher Khalaf Alharbi, Hamiden Abd El-Wahed Khalifa

  • Journal: Expert Systems with Applications

  • Year: 2025

  • DOI: 10.1016/j.eswa.2025.127951

  • Citations: As of now, this article has not been cited.

2. Title: The novel WASPAS method for roughness of bipolar fuzzy sets based bipolar fuzzy covering

3. Title: A Comparison of Promethee and TOPSIS Techniques Based on Bipolar Soft Covering-Based Rough Sets

  • Authors: Faiza Tufail, Muhammad Shabir, El-Sayed A. Abo-Tabl

  • Journal: IEEE Access

  • Year: 2022

  • DOI: 10.1109/ACCESS.2022.3161470

  • Citations: This article has been cited in subsequent research.

 

Najeem Olawale Adelakun | Electrical Engineering | Best Researcher Award

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Dr. Najeem Olawale Adelakun | Electrical Engineering | Best Researcher Award

Senior Engineer/Researcher at Federal College of Education Iwo, Osun State, Nigeria

Engr. (Dr.) Najeem Olawale Adelakun is a distinguished Senior Engineer and researcher at the Federal College of Education, Iwo, Nigeria, with over 18 years of experience in both field and academic settings. He holds multiple advanced degrees, including an MSc in Information Technology, an MBA, and an Executive Master in Project Management. His research contributions span engineering, artificial intelligence, education, and energy systems, with over 20 peer-reviewed publications in reputable international journals. Dr. Adelakun’s work demonstrates a strong commitment to integrating cutting-edge technologies like AI and IoT into educational and engineering practices, addressing both local and global challenges. His interdisciplinary approach enhances engineering education, promotes renewable energy solutions, and supports digital transformation in academia. His strengths include prolific research output, practical innovation, and leadership in academia. To further strengthen his profile, deeper focus on high-impact journal publications and international collaborations would be beneficial. Overall, he is a highly suitable candidate for the Best Researcher Award.

Professional Profile

Education

Engr. (Dr.) Najeem Olawale Adelakun possesses a robust and multidisciplinary educational background that underpins his expertise in engineering, information technology, and project management. He earned his Master of Science (MSc) in Information Technology from the National Open University of Nigeria, which provided him with strong foundations in digital systems, data management, and IT applications. He also holds a Master of Business Administration (MBA), equipping him with strategic leadership and management skills critical for both academic and industrial success. Further enhancing his professional competencies, Dr. Adelakun completed an Executive Master in Project Management, allowing him to effectively lead and execute complex engineering and academic projects. His diverse academic achievements reflect a commitment to lifelong learning and a holistic approach to problem-solving across technical and managerial domains. This strong educational foundation has enabled him to contribute meaningfully to interdisciplinary research and innovation, particularly in the fields of education technology, renewable energy, and artificial intelligence.

Professional Experience

Engr. (Dr.) Najeem Olawale Adelakun has garnered extensive professional experience across academia, research, and industry. As a seasoned educator and scholar, he has served in various academic roles, including lecturer and researcher, where he has guided students and conducted impactful research in engineering, information technology, and education. His industrial engagements span project management, where he has successfully led and implemented several technology-driven projects, particularly in renewable energy, smart systems, and digital innovation. Dr. Adelakun is well-versed in integrating artificial intelligence and IoT solutions into sustainable development frameworks, which has positioned him as a thought leader in contemporary engineering applications. His commitment to excellence is evident in his numerous scholarly publications and active participation in international conferences. Through his multifaceted experience, he has continuously bridged the gap between theoretical knowledge and practical implementation, contributing to societal advancement through innovative, interdisciplinary solutions and mentoring the next generation of professionals in science and technology.

Research Interest

Engr. (Dr.) Najeem Olawale Adelakun’s research interests span a multidisciplinary range, with a strong focus on sustainable development through technological innovation. He is particularly passionate about integrating renewable energy systems, smart grid technologies, and the Internet of Things (IoT) to address contemporary energy challenges. His work delves into the development and application of artificial intelligence (AI) in optimizing energy efficiency, predictive maintenance, and smart city solutions. Additionally, Dr. Adelakun explores the intersection of engineering education and digital learning technologies, seeking to enhance student engagement and academic outcomes through e-learning platforms and virtual labs. His research also touches on cybersecurity in smart infrastructures and data analytics for decision-making in engineering systems. Committed to impactful innovation, he actively collaborates on projects aimed at promoting energy access in underdeveloped regions, supporting sustainable urbanization, and advancing technological inclusion. His diverse interests reflect a vision for leveraging science and engineering to create meaningful, real-world solutions.

Award and Honor

Engr. (Dr.) Najeem Olawale Adelakun has received numerous awards and honors in recognition of his academic excellence, innovative research, and leadership in engineering and technology. He was honored with the prestigious TETFund Scholarship for Academic Staff Development, which supported his doctoral studies in Electrical and Electronics Engineering. Throughout his career, Dr. Adelakun has received commendations from various academic and professional bodies for his outstanding contributions to renewable energy research and engineering education. His innovative projects have earned him accolades at international conferences and competitions, particularly for his work in smart energy systems and digital learning technologies. In addition to academic achievements, he has been recognized for his service to the community through engineering outreach initiatives and capacity-building programs. These awards not only underscore his technical expertise and dedication but also highlight his commitment to applying science and technology for societal advancement and sustainable development on both local and global scales.

Research skill

Engr. (Dr.) Najeem Olawale Adelakun possesses a robust set of research skills that span across electrical engineering, renewable energy systems, and digital innovation. He is highly proficient in designing and implementing experimental research, data analysis, simulation modeling, and technical documentation. His expertise in MATLAB/Simulink, AutoCAD, and other engineering software tools enables him to conduct detailed simulations and evaluate the performance of various energy systems. Dr. Adelakun has a strong foundation in research methodology, including both qualitative and quantitative techniques, allowing him to undertake interdisciplinary studies and evaluate complex engineering problems. He excels in literature review, hypothesis formulation, data interpretation, and the publication of findings in reputable journals. Furthermore, his ability to lead research teams, write compelling research proposals, and secure funding demonstrates his strategic thinking and organizational capabilities. His collaborative spirit and problem-solving mindset make him an asset in any research-driven environment focused on innovation and sustainable development.

Conclusion

Engr. (Dr.) Najeem Olawale Adelakun is highly suitable for the Best Researcher Award due to:

  • A rich blend of academic qualifications, field expertise, and multidisciplinary publications.

  • A demonstrated commitment to solving real-world problems using innovative engineering and IT approaches.

  • A strong publication record showing consistent research productivity and societal relevance.

Publications Top Noted 

  • Title: A Review Of Solar Energy
    Authors: NO Adelakun, BA Olanipekun
    Year: 2019
    Citations: 37

  • Title: Assessment of Renewable Energy in Nigeria: Challenges and Benefits
    Authors: BA Olanipekun, NO Adelakun
    Year: 2020
    Citations: 35

  • Title: Design and Evaluation of Electrical Services for an Energy Efficient Home
    Authors: CU Okoye, NO Adelakun
    Year: 2019
    Citations: 16

  • Title: A Pragmatic Study on E-Learning System for Higher Education in Developing Countries
    Authors: N Adelakun, S Omolola
    Year: 2020
    Citations: 15

  • Title: Impact of Digital Technology and the Need for Periodical Review of Educational Curriculum in Nigeria Tertiary Institutions
    Authors: NO Adelakun
    Year: 2022
    Citations: 14

  • Title: Outage Analysis and System Disturbances on 330 kV and 132 kV Transmission System in Nigeria
    Authors: NO Adelakun, BA Olanipekun
    Year: 2020
    Citations: 10

  • Title: Electrical Service Design of a Proposed Multipurpose Building Complex
    Authors: NO Adelakun
    Year: 2018
    Citations: 9

  • Title: Exploring the Use of Electronic Resources for Undergraduate Learning at the National Open University of Nigeria in Kwara State
    Authors: MA Shomoye, NO Adelakun, KL Adebisi
    Year: 2023
    Citations: 7

  • Title: Future Trends in Artificial Intelligence for Energy Management
    Authors: NO Adelakun
    Year: 2024
    Citations: 6

  • Title: Development and Testing of Arduino Timer Socket
    Authors: NO Adelakun, SA Omolola
    Year: 2023
    Citations: 6

  • Title: Design of an Electrical Installation of a Storey Building
    Authors: NO Adelakun, BA Olanipekun, SO Asogba
    Year: 2020
    Citations: 6

  • Title: The Significance of Social Media in Shaping Students’ Academic Performance: Challenges, Benefits, and Quality Assurance Outlook
    Authors: NO Adelakun, MB Olajide, MA Shomoye, KL Adebisi
    Year: 2023
    Citations: 5