Dr. Anton Loskutov | Energy and Sustainability | Research Excellence Award

Dr. Anton Loskutov | Energy and Sustainability | Research Excellence Award

Dr. Anton Loskutov | Energy and Sustainability | Research Excellence Award | Dr | Nizhegorodskiy Gosudarstvennyy Tekhnicheskiy University | Research Excellence Award

Dr. Anton Loskutov is an accomplished researcher, Associate Professor, and senior scientist whose work spans electric power systems, relay protection, digital substations, smart distribution networks, and machine-learning-driven automation technologies. Dr. Anton Loskutov completed his engineering education at Nizhny Novgorod State Technical University and earned his Ph.D. from Samara State Technical University, where his research centered on developing and studying novel topologies for medium-voltage smart urban distribution networks. His professional experience includes serving as an Associate Professor in the Department of Electric Power, Electricity Supply, and Power Electronics, as well as working as a senior researcher in the laboratory for autonomous hybrid electric power systems. Throughout his role, Dr. Anton Loskutov has actively contributed to relay protection algorithms, overhead line fault-location methods, intelligent network automation, distributed generation integration, and the application of sequential statistical methods to power system decision-making. His research interests encompass electrical network simulation, data-driven energy analytics, high-voltage system protection, artificial intelligence tools for fault recognition, and the development of advanced emergency mode detection frameworks. Dr. Anton Loskutov’s research skills include computational modeling, machine learning for energy diagnostics, development of protection schemes, system optimization, sequential probability testing, and applied algorithm design for electrical networks. His work is widely published in reputed international journals such as Energies, Algorithms, Information, and Technologies, and he has coauthored multiple papers presented in IEEE conferences and Scopus-indexed proceedings. In recognition of his contribution to the field, Dr. Anton Loskutov is an active member of CIGRE, participating in the B5 subcommittee working group on relay automation modeling technologies and representing young researchers in major international sessions. His honors include selection to the youth section of CIGRE and involvement in significant collaborative power engineering projects. Dr. Anton Loskutov continues to contribute to the academic and engineering community through mentoring, interdisciplinary teamwork, and innovative applied research that enhances the safety, efficiency, and resilience of modern electrical networks. With a strong background in intelligent grid development, a robust publication record, and ongoing participation in international technical communities, Dr. Anton Loskutov stands out as a dedicated scholar whose work significantly advances the modernization of power system protection, automation, and distributed energy technologies.

Profile: Scopus | ORCID

Featured Publications 

  1. Kulikov, A., Loskutov, A., Ilyushin, P., Kurkin, A., & Sluzova, A. (2025). High-voltage overhead power line fault location through sequential determination of faulted section. Technologies.

  2. Kulikov, A., Ilyushin, P., Loskutov, A., & Filippov, S. (2023). Fault location method for overhead power line based on a multi-hypothetical sequential analysis using the Armitage algorithm. Inventions.

  3. Kulikov, A., Loskutov, A., Bezdushniy, D., & Petrov, I. (2023). Decision tree models and machine learning algorithms in the fault recognition on power lines with branches. Energies.

  4. Kulikov, A., Ilyushin, P., & Loskutov, A. (2023). Enhanced readability of electrical network complex emergency modes provided by data compression methods. Information.

  5. Kulikov, A., Ilyushin, P., Loskutov, A., & Filippov, S. (2023). Application of search algorithms in determining fault location on overhead power lines according to the emergency mode parameters. Algorithms.

  6. Kulikov, A., Ilyushin, P., Loskutov, A., Suslov, K., & Filippov, S. (2022). WSPRT methods for improving power system automation devices in the conditions of distributed generation sources operation. Energies.

  7. Kulikov, A., & Loskutov, A. (2022). Relay protection and automation algorithms of electrical networks based on simulation and machine learning methods. Energies.

 

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.