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

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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.

 

Yang Chen | Energy and Sustainability | Best Researcher Award

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Mr. Yang Chen | Energy and Sustainability | Best Researcher Award

Mr. Yang Chen | Energy and Sustainability | Best Researcher Award | PhD Candidate | The Hong Kong Polytechnic University | Hong Kong 

Mr. Yang Chen is a dedicated researcher in environmental and energy economics whose work integrates advanced computational methods with policy-relevant environmental analysis, contributing significantly to the understanding of carbon emissions, pollution control, and sustainability transitions. Mr. Yang Chen’s academic foundation is rooted in his doctoral studies at The Hong Kong Polytechnic University, where he specializes in environmental modelling, causal complexity analysis, and machine-learning–assisted prediction systems. His education equips him with strong analytical abilities in econometrics, environmental impact assessment, and data-driven research methodologies, forming the backbone of his scholarly identity. Professionally, Mr. Yang Chen has engaged in several completed and ongoing research projects involving interdisciplinary teams and multi-institutional networks, allowing him to contribute to innovative work addressing global environmental and energy challenges. His research interests include carbon emission modelling, renewable energy policy evaluation, environmental pollution dynamics, and the application of fuzzy-set qualitative comparative analysis (fsQCA) combined with SHAP-based machine-learning frameworks, reflecting his commitment to methodological innovation and complex-systems thinking. Mr. Yang Chen’s research skills span statistical modelling, causal inference, policy impact analysis, machine learning for environmental prediction, scientific writing, and peer-review activities for high-impact journals, strengthening his role as a rising scholar in sustainability research. His publication record includes approximately ten papers in reputable JCR Q1 journals such as Building and Environment, Environmental Impact Assessment Review, Earth’s Future, Journal of Cleaner Production, and Journal of Environmental Management, demonstrating consistent scholarly productivity. In addition to journal articles, Mr. Yang Chen has contributed as an editorial board member to two academic books published by leading Chinese presses, reflecting recognition of his expertise. His citation metrics, including more than two hundred citations, an h-index of six, and multiple i10-index publications, further underscore the growing influence of his work. Although he is early in his career and has not yet accumulated major awards, Mr. Yang Chen’s recognition as a reviewer for top journals and his authorship in high-impact platforms demonstrate his academic credibility and emerging leadership within the research community. In conclusion, Mr. Yang Chen exemplifies the qualities of a forward-looking environmental economist whose combination of methodological innovation, strong publication output, and commitment to interdisciplinary sustainability research positions him for significant future contributions to global climate policy, environmental modelling, and academic leadership.

Profile:  ORCID | Google Scholar

Featured Publications

  1. Chen, Y., Luo, L., Feng, W., Wu, J., & Cai, W. (2025). Progressive prediction of embodied carbon emissions across stages of schematic design with machine learning. Journal of Cleaner Production. (Citations: 3)

  2. Chen, Y., Guo, X., Yi, W., Hong, J., & Wen, Q. (2025). Synergistic pollution and carbon reductions from the China National Sustainable Communities Pilot Policy. Energy. (Citations: 5)

  3. Zheng, S., Chen, Y., Hong, J., & Pu, Y. (2025). Global climate policy effectiveness analysis: Evidence from 49 countries, 1951–2018. Journal of Comparative Policy Analysis. (Citations: 2)

  4. Chen, Y., Hong, J., Wen, Q., Yi, W., & Zheng, S. (2024). The Janus-faced role of renewable energy development in global carbon reduction under renewable energy policies. Earth’s Future. (Citations: 12)

  5. Chen, Y., Lai, T., Hong, J., & Teng, Y. (2023). Path analysis of regional carbon lock-in and unlocking from a qualitative comparative perspective. In Proceedings of the International Symposium on Advancement of Construction Management and Real Estate. (Citations: 1)

  6. Chen, Y., Zhao, Z., Yi, W., Hong, J., & Zhang, B. (2023). Has China achieved synergistic reduction of carbon emissions and air pollution? Evidence from 283 Chinese cities. Environmental Impact Assessment Review. (Citations: 18)

  7. Chen, Y., Hong, J., Tang, M., Zheng, Y., Qiu, M., & Ni, D. (2022). Causal complexity of environmental pollution in China: A province-level fuzzy-set qualitative comparative analysis. Environmental Science and Pollution Research. (Citations: 40)

 

Alexander Gusev | Energy and Sustainability | Best Researcher Award

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Prof. Alexander Gusev | Energy and Sustainability | Best Researcher Award

Scientific Director | Fermaltech Montenegro DOO | Montenegro

Prof. Alexander Gusev is a distinguished researcher whose education, professional experience, research interests, skills, awards and honors combine to make him a leading figure in hydrogen energy, cryogenic technology, and alternative energy systems; he holds advanced degrees in engineering mechanics, solid-state physics, and chemistry, having completed his postgraduate thesis on cryogenic vacuum systems for hydrogen refueling complexes under academic supervision, and trained extensively in physics and mathematics at top institutions; his professional career includes heading the Department of Alternative Energy and Ecology in Germany, leadership roles at STC “TATA,” the Institute of Hydrogen Economics, and Fermaltech, as well as membership and leadership in international standards bodies such as ISO/TC 197 on Hydrogen Technologies, and the European Academy of Natural Sciences; his research interests focus on hydrogen production, storage and safety (including hydrogen on-board storage, sensors, physisorption, nano-catalysis), transport of large energy flows, electrochemical systems, molecular hydrogen adsorption, cryogenic and vacuum technologies, and environmentally friendly energy systems; his research skills encompass advanced materials synthesis, catalyst characterization, hydrogen safety, cryogenic engineering, thermodynamics, reaction kinetics, nano-material fabrication, heterogeneous catalysis and material testing; he has authored 10 documents, 484 Citations, 10 h-index, contributing over 500 scientific works including patents, invention disclosures, and journal and conference publications; among his awards and honors are inclusion in the global Top-100 most cited scientists in Energetics (E-Library ranking), recipient of the K. E. Tsiolkovsky Medal for contribution to cosmonautics, membership as Academician in European and Serbian academies of natural sciences and science & arts, state recognitions in nuclear and energy sectors; given his broad leadership, international collaboration, standard-setting roles, and contributions to hydrogen safety and alternative energy, Prof. Alexander Gusev’s future holds strong potential to extend his impact via the publication of more work in high-impact Q1 journals, mentorship of upcoming scientists, participation in key editorial and keynote roles, and leading large interdisciplinary international projects that push forward sustainable hydrogen energy and ecological solutions.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications

  1. Economic Aspects of Nuclear and Hydrogen Energy in the World and Russia — 2020; 133 citations

  2. Economics of Secondary Renewable Energy Sources with Hydrogen Generation — 2019; 73 citations

  3. Algorithm for Optimal Pairing of RES and Hydrogen Energy Storage Systems — 2021; 55 citations

  4. Hydrogen Production by Low-Temperature Plasma Decomposition of Liquids — 2017; 55 citations

  5. Thermodynamic Peculiarities of Low-Temperature Regeneration of Cryosorption Devices in Heat-Insulation Cavities of Hydrogenous Cryogenic Tanks — 2001; 39 citations

  6. Cleaning System for Corrosive Gases and Hydrogen — 2009; 37 citations