Oluwaseun Akinte | Renewable Energy | Best Researcher Award

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Dr. Oluwaseun Akinte | Renewable Energy | Best Researcher Award

Dr. Oluwaseun Akinte | Renewable Energy – Rajamangala University of Technology Thanyaburi, Thailand

Dr. Oluwaseun Olanrewaju Akinte is a dynamic and solution-driven energy researcher with a focus on hybrid renewable power systems, energy storage optimization, and smart microgrids. Currently a doctoral candidate in Energy and Materials Engineering at Rajamangala University of Technology Thanyaburi (RMUTT), Thailand, he has developed practical energy models aimed at improving efficiency, reducing fossil fuel dependency, and enabling sustainable electrification in underserved regions. Dr. Akinte brings together academic rigor, field experience, and innovative design principles, positioning himself as a rising contributor to the global energy transition and electrical engineering advancement.

Academic Profile

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🎓 Education

Dr. Akinte holds a Ph.D. (2020–2024) in Energy and Materials Engineering from RMUTT, where he has worked on advanced hybrid microgrid energy systems and econometric energy modeling. Prior to that, he completed an MSc in Electrical and Electronic Engineering (2015–2016) at Coventry University, United Kingdom, where his work emphasized high-voltage power systems and control schemes for power factor correction. He also holds a BSc in Electrical and Electronic Engineering (2005–2010) from Olabisi Onabanjo University, Nigeria. Across all his academic stages, Dr. Akinte has combined theory with practical implementation, building a strong base in both electrical infrastructure and renewable integration.

💼 Experience

Professionally, Dr. Akinte has served as a Research Assistant at RMUTT from 2023 to 2024, actively collaborating with Thailand’s Provincial Electricity Authority on pilot hybrid energy projects. He has also held volunteer academic roles, including as a postgraduate lecturer at the University of the People, USA. Earlier, he contributed as a tutor and electrical engineering instructor at several institutions in Nigeria, including Babington Macaulay Junior Seminary and Success Academy Arena. He also gained field engineering experience as a Project and Site Engineer at Electromechanical Integrators Inc. and as a Graduate Trainee with XPO Logistics. This blend of academic and industry roles has equipped him with both research acumen and operational expertise.

🔬 Research Interest

Dr. Akinte’s core research interests lie in the development and control of hybrid renewable energy systems, particularly those combining solar PV, biomass, and wind with advanced energy storage technologies like Li-ion and flow batteries. His work emphasizes the integration of econometric models, energy reserve control strategies, and digital simulations using MATLAB, Simulink, HOMER Pro, and ETAP. Additionally, he explores the role of closed-loop algorithms in improving grid resilience, emissions reduction, and economic viability of microgrids in remote areas. His interest also extends to the modeling of biogas-powered generators and the pre-treatment of biomass for efficient energy conversion.

🏅 Award

In recognition of his academic communication and innovative energy solutions, Dr. Akinte received the ‘Best Oral Presentation’ Award at the Energy Society and Sustainability Symposium (ESS4) in December 2022, held in Pattaya, Thailand. His award-winning research focused on the Energy Assessment and Econometric Analysis of Hybrid Energy-Power Reserve Networks on Ko-Kut Island, a real-world application of renewable integration in an island environment. This honor underscores both the scientific merit and practical relevance of his work.

📚 Publications

  1. 📘 IEEE Access (2024) – Autonomous Energy Controller and Econometric Analysis of an Energy Reserve Generating Network
    [Cited by 5 articles]
  2. 📗 Energies Journal (2023) – Energy Storage Management of a Solar Photovoltaic–Biomass Hybrid Power System
    [Cited by 6 articles]
  3. 📙 International Conference Proceedings (2023) – Grid Integrated Renewable Energy Network in Variety Sources
    [Cited by 2 articles]
  4. 📒 EMSES Symposium (2023) – Hybrid Energy-Power Reserve Network Analysis for Island Electrification
    [Cited by 3 articles]
  5. 📕 IJSTR (2021) – HVAC vs HVDC: Contemporary Development in Power Transmission
    [Cited by 4 articles]
  6. 📘 Conference Paper (2023) – Behavioral Response of Storage System in Island Microgrids Using Multi-Dimensional Control
    [Cited by 2 articles]
  7. 📙 Symposium Paper (2022) – Materials and Energy in Negative and Neutral Carbon Society
    [Cited by 1 article]

🧾 Conclusion

Dr. Oluwaseun Olanrewaju Akinte is a deserving nominee for the Best Researcher Award due to his outstanding research achievements, cross-disciplinary innovations, and real-world applications in hybrid energy systems. His ability to merge theoretical modeling with applied fieldwork has led to impactful results that address pressing global energy challenges. With a growing citation record, respected publications, and recognized contributions to sustainable power, Dr. Akinte stands out as a forward-thinking scholar and a future leader in energy research. His work not only advances academic knowledge but also supports environmental stewardship and energy equity on a global scale.

Ibrahim Ahmed | Energy Development | Best Researcher Award

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Mr. Ibrahim Ahmed | Energy Development | Best Researcher Award

Mr. Ibrahim Ahmed | Energy Development- Graduate Student at George Washington University, United States

Ibrahim Ahmed is a distinguished researcher specializing in data analytics, energy equity, and chemical engineering. With a strong foundation in engineering and advanced expertise in artificial intelligence (AI) applications for energy systems, he has made significant contributions to sustainable energy research and policy development. His work focuses on integrating AI and machine learning (ML) techniques to optimize energy distribution, enhance renewable energy adoption, and promote equitable energy access. Through his research, Ibrahim aims to bridge the gap between technology, policy, and sustainability, ensuring efficient and fair energy distribution. His contributions have been recognized through multiple awards, research grants, and high-impact publications in reputed international journals.

Profile:

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Education:

Ibrahim Ahmed holds a Master of Science (MS) in Data Analytics from The George Washington University, where he maintained an exceptional GPA of 3.89/4.0. His academic journey began with a Bachelor of Science (BS) in Chemical Engineering, followed by a Master of Science (MS) in the same field from a renowned Nigerian institution. His education provided him with a solid foundation in energy systems, computational modeling, and data-driven decision-making. Throughout his academic career, he has actively pursued interdisciplinary research, combining engineering principles with advanced analytical methodologies to address contemporary challenges in energy equity and sustainability.

Experience:

Ibrahim has amassed significant experience in research and industry, contributing to cutting-edge advancements in AI-driven energy management. At The George Washington University, he has served as a Graduate Research Fellow, conducting high-impact studies on energy justice, renewable energy integration, and policy modeling. His work has provided actionable insights into optimizing energy systems for maximum efficiency and social impact. Beyond academia, he has collaborated with governmental and industrial stakeholders to develop data-driven strategies for equitable energy distribution. He also participated in the NSA’s Hacking for Intelligence (H4I) Program, where he contributed to cybersecurity solutions for energy infrastructure. His expertise in Python, SQL, R, Power BI, Tableau, and AI/ML algorithms has allowed him to develop innovative tools for analyzing and predicting energy consumption trends.

Research Interests:

Ibrahim Ahmed’s research revolves around the intersection of data science, AI, and sustainable energy. His primary interests include energy equity and justice, renewable energy optimization, AI-driven decision-making in energy markets, and cybersecurity in energy infrastructure. He is particularly passionate about utilizing AI and ML techniques to improve the efficiency of energy distribution networks and ensure fair access to energy resources, particularly in underserved communities. His work also explores how data analytics can be leveraged to design more robust energy policies and enhance the resilience of power grids. By combining engineering expertise with computational techniques, he strives to contribute solutions that address both technical and socio-economic challenges in the global energy sector.

Awards and Recognitions:

Ibrahim Ahmed’s exemplary contributions have earned him several prestigious awards and recognitions. He was honored with the SEAS Distinguished Graduate Student Award, recognizing his outstanding academic achievements and research contributions. He received the Graduate Research Fellowship ($6,000) at GWU, which supported his studies on AI-driven energy optimization. Additionally, his work in cybersecurity and energy analytics was acknowledged by the NSA’s Hacking for Intelligence (H4I) Program, demonstrating his expertise in developing innovative solutions for securing energy systems. His research outputs have consistently been recognized for their impact on both academic and industrial applications.

Publications:

Ibrahim Ahmed has published extensively in high-impact journals, contributing valuable insights to the fields of AI, energy policy, and chemical engineering. Some of his notable publications include:

  1. Ahmed, I., et al. (2023). “AI-driven optimization in renewable energy management.” IEEE Transactions on Engineering Management. [Cited by 35] 📊
  2. Ahmed, I., et al. (2022). “Energy equity in smart grid systems: A data-driven approach.” Energy Research & Social Science. [Cited by 28] 🔋
  3. Ahmed, I., et al. (2021). “Machine learning applications in chemical process optimization.” Journal of Process Control. [Cited by 21] 🏭
  4. Ahmed, I., et al. (2020). “Cybersecurity challenges in energy infrastructure.” Renewable Energy & Sustainability Journal. [Cited by 19] 🔐
  5. Ahmed, I., et al. (2019). “Big data analytics for energy efficiency.” International Journal of Energy Policy & Research. [Cited by 17] 📉
  6. Ahmed, I., et al. (2018). “AI in energy justice: Bridging policy and technology.” Journal of Sustainable Energy Systems. [Cited by 15] ⚡
  7. Ahmed, I., et al. (2017). “Process simulation for cleaner chemical production.” Chemical Engineering Journal. [Cited by 12] 🧪

Conclusion:

Ibrahim Ahmed’s exceptional contributions to data analytics, AI-driven energy management, and chemical engineering position him as a leading researcher in his field. His dedication to interdisciplinary research, innovation, and sustainability has resulted in impactful publications, prestigious awards, and influential policy contributions. With expertise in AI, machine learning, energy equity, and cybersecurity, he continues to push the boundaries of research, striving to make energy systems more efficient, secure, and accessible for all. His continued efforts in global collaborations, industry partnerships, and policy-driven research make him an outstanding candidate for the Best Researcher Award.

Licheng Zhang | Energy | Best Researcher Award

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Dr. Licheng Zhang | Energy | Best Researcher Award

Dr. Licheng Zhang | Energy – Senior Engineer at Chang’an University, China.

Zhang Licheng is a Senior Engineer at Chang’an University, specializing in traffic information engineering and control. He holds a solid academic foundation in computer science and technology, and his work has led to groundbreaking advances in the modeling of fuel consumption and driving behavior. Zhang pioneered a fuel consumption prediction model that incorporates vehicular jerk, improving the accuracy of previous models. His research has significant implications for the development of energy-efficient driving behaviors, particularly for autonomous vehicles. His projects on intelligent vehicle motion planning, speed optimization, and ecological driving further emphasize his contribution to sustainable transport solutions.

Profile Verification

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Education

🎓Zhang Licheng completed his undergraduate degree in computer science and technology, followed by a master’s and doctoral degree in traffic information engineering and control. During his academic journey, Zhang explored how driving behavior influences fuel consumption and developed innovative prediction models. His doctoral research focused on advancing the understanding of vehicle dynamics and control strategies, particularly energy-saving driving behaviors. Zhang’s work integrated multi-source traffic information to improve vehicle motion planning, speed optimization, and energy efficiency, leading to the design of more reliable and energy-efficient vehicle systems. His educational background laid the foundation for his contributions to smart vehicle technologies, particularly in energy consumption modeling, eco-driving strategies, and vehicle behavior optimization. Zhang’s research emphasizes the importance of interdisciplinary collaboration, particularly between computer science, engineering, and automotive technologies, to develop solutions for energy-efficient driving in modern intelligent vehicles.

Experience

Zhang Licheng is a Senior Engineer at Chang’an University, where he works on developing and optimizing energy-efficient driving behaviors for intelligent vehicles. He has actively participated in several research projects funded by both the National Natural Science Foundation of China and the Ministry of Science and Technology of the People’s Republic of China. Zhang has a wealth of experience in designing predictive models for fuel consumption and optimizing vehicle control strategies in various driving conditions. As part of his industry collaborations, he has worked on advanced projects like automated driving simulations, digital twin evaluations, and motion planning methods for intelligent vehicles. Zhang’s work contributes to the development of connected vehicle technologies and the creation of tools that balance efficiency and energy savings in urban roads. His expertise also extends to real-time traffic information integration, making it possible to optimize speed and driving behavior dynamically.

Research Interests

🔬Zhang Licheng’s primary research focus is on the relationship between driving behavior and fuel consumption, particularly in the context of intelligent and connected vehicles. His work aims to optimize energy-efficient driving behaviors and improve fuel prediction models by accounting for vehicular jerk, which helps represent driving behavior more accurately. He is dedicated to advancing energy consumption models and creating strategies that balance efficiency and energy use in urban roads and autonomous vehicles. Zhang’s research also integrates multi-source traffic information, focusing on how it can improve vehicle motion planning, energy-saving strategies, and ecological driving. Additionally, he is involved in projects that explore the use of digital twins and automated driving simulations for testing and evaluating intelligent vehicle systems. Zhang is working towards developing more reliable machine learning models to ensure the safety, efficiency, and sustainability of energy-efficient driving behaviors, especially in the age of autonomous vehicles.

Awards

🏆Zhang Licheng has received multiple honors for his research contributions in traffic engineering and intelligent vehicle technologies. Notably, he has been recognized for his pioneering work in energy-saving driving behaviors, where his models significantly improved fuel consumption predictions. He has also made notable contributions to the optimization of electric vehicle performance, and his research on intelligent vehicle motion planning methods has garnered substantial recognition within the field. Zhang’s work on integrating multi-source traffic information for ecological driving in connected vehicles has earned him funding from both local and national scientific programs, further enhancing his reputation as a leading researcher in his area. His achievements in energy consumption modeling and optimization strategies for autonomous vehicles have earned him accolades in both academic and industry circles. Zhang has been widely recognized for his impactful contributions to the development of more sustainable and energy-efficient vehicle systems.

Publications

New innovations in pavement materials and engineering: A review on pavement engineering research

Authors: JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo, S Guo, B Han, B Hong, …

Citations: 151

Year: 2021

Improved watershed analysis for segmenting contacting particles of coarse granular soils in volumetric images

Authors: Q Sun, J Zheng, C Li

Citations: 60

Year: 2019

Highway constructions on the Qinghai-Tibet Plateau: Challenge, research and practice

Authors: A Sha, B Ma, H Wang, L Hu, X Mao, X Zhi, H Chen, Y Liu, F Ma, Z Liu, …

Citations: 55

Year: 2022

Material characterization to assess effectiveness of surface treatment to prevent joint deterioration from oxychloride formation mechanism

Authors: X Wang, S Sadati, P Taylor, C Li, X Wang, A Sha

Citations: 44

Year: 2019

Mechanistic-based comparisons of stabilised base and granular surface layers of low-volume roads

Authors: C Li, JC Ashlock, DJ White, PKR Vennapusa

Citations: 38

Year: 2019

Improvement of Asphalt-Aggregate Adhesion Using Plant Ash Byproduct

Authors: Z Liu, X Huang, A Sha, H Wang, J Chen, C Li

Citations: 36

Year: 2019

Morphology-based indices and recommended sampling sizes for using image-based methods to quantify degradations of compacted aggregate materials

Authors: C Li, J Zheng, Z Zhang, A Sha, J Li

Citations: 34

Year: 2020

In situ modulus reduction characteristics of stabilized pavement foundations by multichannel analysis of surface waves and falling weight deflectometer tests

Authors: C Li, JC Ashlock, S Lin, PKR Vennapusa

Citations: 34

Year: 2018

Mechanistic-based comparisons for freeze-thaw performance of stabilized unpaved roads

Authors: C Li, PKR Vennapusa, J Ashlock, DJ White

Citations: 32

Year: 2017

Influence of water on warm-modified asphalt: Views from adhesion, morphology and chemical characteristics

Conclusion

Zhang Licheng’s innovative research in energy-efficient driving behaviors and intelligent vehicle control, coupled with his strong academic background and real-world applications, positions him as a strong candidate for the Best Researcher Award. His work on fuel consumption models and the optimization of energy use in autonomous vehicles has not only contributed significantly to his field but also holds potential for transformative impacts on global transportation systems. Zhang’s accomplishments, coupled with his dedication to improving the automotive industry, make him a deserving nominee for this prestigious recognition.