Saheed Bello | Renewable Energy Technologies | Best Researcher Award

Dr. Saheed Bello | Renewable Energy Technologies | Best Researcher Award

Dr. Saheed Bello | Renewable Energy Technologies | Research Associate | University of Cambridge-EPRG | United Kingdom

Dr. Saheed Bello is a Research Associate at Cambridge Judge Business School, specializing in the economic analysis of climate change mitigation technologies and energy system transitions. His work focuses on designing policy-driven transition scenarios, integrating socioeconomic, technological, and policy data to deliver evidence-based recommendations for decarbonization to policymakers and industry stakeholders. With prior academic roles at Loughborough University and the University of Nottingham, as well as consultancy and research positions in Nigeria’s energy sector, he brings extensive expertise in energy economics, policy evaluation, and sustainable development. His contributions include high-impact publications, international collaborations, and practical development projects, such as delivering sustainable rural water facilities. Equipped with strong analytical, programming, and econometric skills, Dr. Bello bridges academic research with real-world policy applications, advancing both scholarly knowledge and global sustainability efforts.

Professional Profile 

Education

Dr. Saheed Bello holds a Doctor of Philosophy in Economics from Loughborough University, where his research combined economics and management science to address complex challenges in energy policy and sustainability. He earned a Master of Science in Energy Economics and Policy from the University of Surrey, specializing in energy regulation and policy frameworks that support sustainable energy transitions. His academic journey began with a Bachelor of Science in Economics, with a minor in Sociology, from the University of Ibadan, Nigeria, providing him with a solid foundation in economic theory, social systems, and policy analysis. This strong and diverse educational background underpins his interdisciplinary approach to research, blending economic modeling, policy evaluation, and sustainability studies.

Professional Experience

Dr. Saheed Bello has built a distinguished professional career spanning academia, research, and policy consultancy, with a strong focus on energy economics, climate change mitigation, and sustainable development. He currently serves as a Research Associate at Cambridge Judge Business School, where he conducts policy-oriented economic analyses of climate change mitigation technologies and energy system transitions, engaging stakeholders and advising policymakers on decarbonization strategies. His previous academic roles include University Teacher at Loughborough University and Associate Lecturer at the University of Nottingham, where he facilitated advanced training in econometrics, financial economics, and data analysis for undergraduate and postgraduate students. Earlier in his career, he worked as a Research Analyst/Technical Assistant at Brickfield Road Associate Limited, delivering evidence-based policy briefs for the Lagos State Government and the Central Bank of Nigeria, and as a Research Assistant at the MacArthur Centre for Petroleum, Energy Economics and Law in Nigeria, contributing to national and international projects on energy governance and resource management. This diverse professional experience reflects his ability to bridge rigorous academic research with practical policy solutions.

Research Interest

Dr. Saheed Bello’s research interests lie at the intersection of energy economics, climate change mitigation, and sustainable development, with a particular focus on the economic evaluation of clean energy technologies and policy-driven energy transitions. He is deeply engaged in exploring how market dynamics, policy incentives, and technological innovation can accelerate the deployment of renewable energy and low-carbon infrastructure. His work also investigates the impacts of carbon pricing, geopolitical risks, and institutional quality on energy consumption patterns and investment decisions. In addition, he has a strong interest in the design and assessment of integrated policy frameworks that align economic growth with environmental sustainability, especially in emerging and developing economies. By combining advanced econometric modeling, data analytics, and policy analysis, Dr. Bello seeks to provide evidence-based insights that inform decision-making for governments, industry stakeholders, and international organizations working toward global decarbonization goals.

Award and Honor

Dr. Saheed Bello has earned recognition for his academic excellence, research contributions, and commitment to sustainable development through various professional achievements and scholarly engagements. While much of his acknowledgment comes in the form of research publications in high-impact journals, invitations to present at prestigious forums such as the Cambridge Energy Policy Forum, and leadership roles in international development projects, his expertise has also been validated through competitive training programs and certifications from globally respected institutions, including the International Monetary Fund, the Econometric Society, and the SDG Academy. His successful track record in securing research collaborations, delivering impactful policy recommendations, and contributing to sustainable infrastructure initiatives underscores the esteem in which he is held within the academic and policy communities, positioning him as a notable contributor to the global energy transition discourse.

Publications Top Noted

Evaluating the Methodology of Setting Electricity Prices in Nigeria
Year: 2013

Reinvestigating the Co-Movements between Stock Market and Exchange Rates: An Augmented Vector Autoregression Analysis
Year: 2022

Evaluating the Nexus between Energy Demand and Economic Growth Using the VECM Approach: Case Study of Nigeria, China, and the United States
Year: 2017

Experience Curves for Electrolysis Technologies
Year: 2024

Examining the Effect of Geopolitical Risks on Renewable Energy Consumption in OECD Countries
Year: 2024

conclusion

Dr. Bello’s track record of impactful research, academic leadership, and tangible societal contributions makes him a highly suitable candidate for the Best Researcher Award. His ability to merge rigorous economic analysis with sustainable development goals positions him as a scholar whose work not only advances academic understanding but also contributes meaningfully to solving urgent global challenges.

MADHIARASAN M | Renewable Energy Technologies | Best Researcher Award

MADHIARASAN M | Renewable Energy Technologies | Best Researcher Award

Dr MADHIARASAN M, French Institute of Pondicherry, India

Publication profile

google scholar

EDUCATIONAL PROFILE

Dr. Madhiarasan M holds an impressive educational background in electrical engineering. He earned his Ph.D. in Electrical Engineering from Anna University, Chennai (2018). He completed his M.E. in Electrical Drives and Embedded Control with a CGPA of 8.403 (2013) and a B.E. in Electrical and Electronics Engineering from Anna University (2010). His recent postdoctoral fellowships include roles at the Transilvania University of Brașov (2022-2023) and IIT Roorkee (2020-2022). These credentials position him as a scholar with robust expertise in both engineering theory and practical applications.

FIELD OF INTEREST & ACADEMIC PROJECTS

Dr. Madhiarasan’s research interests span SCADA-based supervisory control, robotics for power transmission line inspection, and hybrid neural network models for renewable energy forecasting. His UG and PG projects focused on control systems and robotics, while his Ph.D. tackled neural network applications in energy forecasting. His research aligns with global energy sustainability initiatives, showcasing his commitment to solving pressing electrical engineering challenges.

EXPERIENCE

He has accumulated extensive academic and research experience, starting as a lecturer in 2010. He has taught at various institutions, including the Madras Institute of Technology and Anna University. As an assistant professor at the Bharat Institute of Engineering and Technology (2018-2020), and later as a research fellow, his contributions to academia are significant. His current role at the French Institute of Pondicherry further extends his research prowess.

AWARDS

Among his accolades, Dr. Madhiarasan received the UGC Fellowship and Transilvania Fellowship for young researchers. In 2023, he was honored with the Best Researcher Award at the 10th Global Research Awards on Artificial Intelligence and Robotics. His accolades highlight his excellence in research, particularly in AI and renewable energy applications.

PROJECT GUIDANCE

His project supervision includes the development of IoT-based systems, including energy monitoring and robotics for military use. His work has practical applications, particularly in power transmission monitoring and control, emphasizing his capability to guide impactful projects in the field of electrical and computer engineering.

WORKSHOPS/SEMINARS/CONFERENCE ORGANIZATION

Dr. Madhiarasan has organized key academic events, such as the World Entrepreneurs’ Day TECHFEST 2023 and national workshops on research writing. He also co-coordinated AICTE-sponsored faculty development programs on artificial intelligence at IIT Roorkee. His leadership in academic forums demonstrates his active engagement in sharing knowledge with the broader research community.

EDITOR & REVIEWER

He has contributed as an editor for various international journals and special issues, including those on renewable energy and embedded technologies. His editorial work in prestigious journals like Sensors (MDPI) reflects his strong academic standing in the field of electrical engineering and renewable energy research.

CO-CURRICULAR CERTIFICATIONS

Dr. Madhiarasan has completed numerous certifications related to wind and solar energy, electronics, and design thinking, which reflect his commitment to continuous learning. These certifications from top global universities via Coursera strengthen his expertise in energy systems and innovation.

ACHIEVEMENTS

Throughout his career, Dr. Madhiarasan has excelled in academics, including ranking second in his M.E. program. His extracurricular achievements include awards in oratory competitions and television appearances. His participation in national seminars and debates further demonstrates his well-rounded profile as a scholar and communicator.

RESEARCH FOCUS

M. Madhiarasan’s research primarily focuses on applying artificial neural networks (ANNs) and machine learning techniques to wind speed forecasting. His work includes developing methods to optimize neural network architectures, such as selecting the appropriate number of hidden neurons for improved prediction accuracy. He has explored various ANN models, including backpropagation, radial basis function, and spiking neural networks, enhancing their performance with optimization algorithms like Grey Wolf Optimization. Additionally, his studies cover different forecast horizons, long-term predictions, and comparative analyses of network architectures for wind energy applications. 🌬️🌐🤖📊

CONCLUSION

Dr. Madhiarasan M is highly suitable for the Best Researcher Award. With his comprehensive educational background, extensive research experience, and significant contributions to the field of electrical engineering and renewable energy, he stands out as a leader in academic and industrial collaborations. His awards, editorial roles, and leadership in organizing academic events further support his candidacy for this prestigious honor.

PUBLICATION TOP NOTES

Comparative analysis on hidden neurons estimation in multi layer perceptron neural networks for wind speed forecasting

A novel criterion to select hidden neuron numbers in improved back propagation networks for wind speed forecasting

Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network

Analysis of artificial neural network: architecture, types, and forecasting applications

Long-Term Wind Speed Forecasting using Spiking Neural Network Optimized by Improved Modified Grey Wolf Optimization Algorithm

A comprehensive review of sign language recognition: Different types, modalities, and datasets

ELMAN Neural Network with Modified Grey Wolf Optimizer for Enhanced Wind Speed Forecasting

New criteria for estimating the hidden layer neuron numbers for recursive radial basis function networks and its application in wind speed forecasting

Performance investigation of six artificial neural networks for different time scale wind speed forecasting in three wind farms of coimbatore region

Analysis of artificial neural network performance based on influencing factors for temperature forecasting applications

A Novel Method to Select Hidden Neurons in ELMAN Neural Network for Wind Speed Prediction Application