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.

 

Aleksandr Kulikov | Energy and Sustainability | Research Excellence Award

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Prof. Dr. Aleksandr Kulikov | Energy and Sustainability | Research Excellence Award

Prof. Dr. Aleksandr Kulikov | Energy and Sustainability | Research Excellence Award | Lecturer | Nizhny Novgorod State Technical University | Russia

Prof. Dr. Aleksandr Kulikov is a distinguished scholar in electric power engineering, widely recognized for his advanced expertise in relay protection, emergency automation, distributed generation, digital signal processing, and the cybersecurity of modern electric networks. Prof. Dr. Aleksandr Kulikov holds multiple higher education degrees across engineering and economics, including a doctoral-level qualification in electric power systems, complemented by earlier academic work in radar, radio navigation, and economic system reliability. His professional experience spans leadership positions in major energy enterprises, where he served as Deputy Chief Engineer, Director of trunk electric grid operations, scientific supervisor for government-funded technology programs, and a long-serving professor at the Nizhny Novgorod State Technical University. Throughout his career, Prof. Dr. Aleksandr Kulikov has demonstrated outstanding commitment to academic excellence, supervising master’s students, postgraduate researchers, and doctoral candidates, many of whom have successfully defended their dissertations under his mentorship. His research interests cover a wide spectrum of modern power-system challenges, including high-voltage line fault detection, emergency-mode processing, machine-learning-based grid diagnostics, selective control of power-quality indicators, and the reliability of renewable-integrated microgrids. His research skills span analytical modeling, digital signal processing, industrial frequency analysis, reliability assessment, fault location techniques, and the development of novel algorithms and decision-support systems for complex power networks. Prof. Dr. Aleksandr Kulikov has contributed more than three hundred scientific works, including publications in Scopus-indexed and Web of Science–indexed journals, IEEE conference proceedings, and high-impact engineering journals. His inventions and patents further demonstrate his innovative contributions to advancing electric power technologies. Among his numerous awards and honors are prestigious regional, national, and international distinctions, including medals, honorary diplomas, and recognition for excellence in scientific innovation and contributions to the development of electrical grid infrastructure. His leadership roles include membership in dissertation councils, editorial board service for multiple scientific journals, and expert involvement in federal technology-development programs. Prof. Dr. Aleksandr Kulikov continues to advance the field through active research, academic mentorship, and scientific collaboration, maintaining a significant influence on the evolution of intelligent power systems and modern energy engineering. His longstanding dedication to the scientific community, strong record of innovation, and impact on the reliability of national power systems solidify his status as a leading figure deserving of international recognition.

Profile: 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. Ilyushin, P., Papkov, B., Kulikov, A., & Suslov, K. (2025). Algorithm and methods for analyzing power consumption behavior of industrial enterprises considering process characteristics.

  3. Kulikov, A. L., Sevostyanov, A. A., & Ilyushin, P. V. (2023). Analysis of electrical-power quality in modern power-supply systems with selective control of several indicators.

  4. 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.

  5. 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.

  6. Kulikov, A., Ilyushin, P., & Suslov, K. (2023). Enhanced readability of electrical network complex emergency modes provided by data compression methods.

  7. Kulikov, A., Ilyushin, P., Suslov, K., & Filippov, S. (2023). Estimating the error of fault location on overhead power lines by emergency state parameters using an analytical technique.

 

 

Francesca Vecchi | Energy and Sustainability | Best Researcher Award

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Mrs. Francesca Vecchi | Energy and Sustainability | Best Researcher Award

Mrs. Francesca Vecchi | Energy and Sustainability | PhD | Polytechnic University of Bari | Italy

Francesca Vecchi is an Italian researcher specializing in sustainability engineering, renewable energy communities, and urban energy planning, with a strong academic background in urban and territorial planning. Currently pursuing her PhD at Politecnico di Bari in collaboration with Concordia University, she focuses on integrating renewable energy communities into urban areas through energy market mechanisms and policy analysis. Her research combines GIS-based tools, energy modelling, and solar analysis to optimize mixed-use urban neighbourhoods, with international experience as a visiting scholar in Canada at Toronto Metropolitan University and Concordia University. She has authored multiple publications in high-impact journals, contributed to notable projects such as ICELL, S2E, and Tools4Cities, and received several prestigious awards and scholarships, including the Ermenegildo Zegna Founder’s Scholarship and AiCARR Thesis Award. Francesca’s work is marked by interdisciplinary collaboration, innovation, and a commitment to advancing sustainable urban energy solutions.

Professional Profile 

Education  

Francesca Vecchi holds a PhD in Sustainability Engineering and Safety in Civil and Industrial Buildings from Politecnico di Bari, conducted in collaboration with Concordia University in Montreal, where her research focuses on integrating renewable energy communities into urban contexts. She earned a Master’s degree in Planning for the Global Urban Agenda from Politecnico di Torino, an international program aligned with the United Nations’ New Urban Agenda, complemented by her participation in the Alta Scuola Politecnica, a prestigious multidisciplinary program jointly run by Politecnico di Milano and Politecnico di Torino. She also completed a Bachelor’s degree in Urban, Territorial and Landscape-Environmental Planning from Politecnico di Torino, enriched by an Erasmus semester at Newcastle University in the United Kingdom. Her educational path began with a High School Diploma in languages from Liceo Scientifico Manfredo Fanti, which included a cultural exchange experience at Burlingame High School in San Francisco, USA.

Professional Experience

Francesca Vecchi has gained extensive professional and research experience across academic, international, and project-based environments. At Politecnico di Bari, she has been actively engaged in research on renewable energy communities, energy network management, and the integration of renewables in urban and coastal cities. As a visiting scholar at Concordia University in Montreal, she contributed to projects such as ICELL and S2E, developing energy remuneration and sharing policies, simulating energy communities, and integrating occupancy profiles into urban energy modelling tools. She also worked on demographic scenario simulations for Montreal districts, assessing both energy and financial impacts. Earlier, as a visiting scholar at Toronto Metropolitan University, she developed her master’s thesis on urban building energy modelling and solar assessment. Additionally, she served as a learning support teacher at Politecnico di Torino, assisting students with general learning needs. Her professional journey reflects a consistent commitment to interdisciplinary collaboration, technical innovation, and the advancement of sustainable urban energy systems.

Research Interest

Francesca Vecchi’s research interests center on the integration of renewable energy communities within urban environments, with a strong focus on energy market mechanisms, policy analysis, and sustainable urban planning. She is particularly engaged in developing GIS-based energy assessments, multi-scalar urban energy modelling, and solar analysis to optimize building and district-level performance. Her work explores mixed-use neighbourhoods, residential occupancy patterns, and the diffusion of renewable energy policies in different socio-political contexts. She is also interested in applying advanced simulation tools to assess energy and financial impacts, fostering cross-disciplinary approaches that bridge engineering, planning, and policy-making to accelerate the energy transition and support climate-resilient cities.

Award and Honor

Francesca Vecchi has received multiple awards and honors in recognition of her academic excellence, research contributions, and commitment to sustainability. She was awarded the AiCARR Thesis Award for outstanding work on energy efficiency and sustainable well-being, and earned a Certificate of Merit at the AIGE/IIETA International Conference for her research on solar analysis in urban contexts. She is a recipient of the prestigious Ermenegildo Zegna Founder’s Scholarship, enabling advanced research abroad, and has been honored by the Fondazione Cassa di Risparmio di Carpi for achieving top grades in both her master’s and bachelor’s studies. Her distinctions reflect not only her high academic performance but also the innovative and practical impact of her research in the fields of renewable energy and sustainable urban planning.

Publications Top Noted

National Geodatabase to Map Consumptions for Energy Transition
Year: 2025

Energy remuneration mechanisms for renewable energy communities: Insights from a mixed-use district
Year: 2025

Modelling the complexity of interconnected energy systems at different urban scales: a critical review
Year: 2025

Modelling tools for the assessment of Renewable Energy Communities
Year: 2024

Solar analysis for an urban context from GIS to block-scale evaluations
Year: 2024

Self-Sufficiency Building Energy Modelling from Urban to Block-Scale with PV Technology
Year: 2023

Data-driven urban building energy models for the platform of Toronto
Year: 2023

Conclusion

Francesca Vecchi stands out as a highly promising and deserving candidate for the Best Researcher Award. Her combination of technical skill, cross-cultural research experience, policy insight, and consistent scholarly output not only positions her as an emerging leader in renewable energy and sustainable urban systems but also aligns closely with the award’s aim to recognize impactful, forward-looking research that addresses global challenges.