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

Published on 05/12/202505/12/2025 by Research Hypothesis

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

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.
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.
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.
Kulikov, A., Ilyushin, P., & Loskutov, A. (2023). Enhanced readability of electrical network complex emergency modes provided by data compression methods. Information.
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.
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.
Kulikov, A., & Loskutov, A. (2022). Relay protection and automation algorithms of electrical networks based on simulation and machine learning methods. Energies.

SS Sivaraju | Renewable Energy Technologies | Innovative Research Award

Published on 13/11/202513/11/2025 by Research Hypothesis

Dr. SS Sivaraju | Renewable Energy Technologies | Innovative Research Award

Dr. SS Sivaraju | Renewable Energy Technologies | Innovative Research Award | Director | RVS College of Engineering and Technology | India

Dr. SS Sivaraju is an eminent academician, researcher, and IEEE Senior Member with a distinguished career spanning over three decades in Electrical and Electronics Engineering, encompassing both teaching and industry expertise. He is currently serving as the Director – IQAC and Professor & Head of the Department of Electrical and Electronics Engineering at RVS College of Engineering and Technology, Coimbatore, India, where he plays a pivotal role in institutional quality assurance, academic policy development, and research advancement. Dr. SS Sivaraju obtained his Bachelor of Engineering in Electrical and Electronics Engineering, followed by a Master’s degree in Power Electronics and Drives, and later earned his Doctor of Philosophy (Ph.D.) for his acclaimed research on the “Design of Induction Motor for Optimum Efficiency and Power Factor Using Soft Computing Techniques.” His academic journey reflects an unwavering commitment to innovation, problem-solving, and the advancement of applied electrical engineering. Professionally, Dr. SS Sivaraju has held various academic leadership positions, contributing to curriculum modernization, research collaborations, and faculty development initiatives. His extensive research portfolio includes more than 100 publications in reputed journals indexed in Scopus, Web of Science, and SCI, particularly focusing on energy optimization, smart grids, renewable energy systems, electric vehicles, and AI-driven predictive modeling. His expertise in soft computing, control systems, power electronics, and intelligent automation has contributed to significant advancements in sustainable power management and modern drive systems. Dr. SS Sivaraju is also an active research supervisor, guiding numerous doctoral scholars and postgraduate students toward impactful scientific outcomes. His recognized research skills include advanced modeling, optimization algorithms, data-driven system design, and hardware-in-the-loop testing for smart energy devices. Throughout his career, Dr. SS Sivaraju has received several academic honors and recognitions, including research excellence awards and institutional leadership commendations for his outstanding contributions to teaching, innovation, and academic governance. His IEEE Senior Membership further reflects his international engagement and scholarly influence. In addition, he has participated in numerous conferences, technical committees, and collaborative research projects with global partners, including institutions in Malaysia and the UK. In conclusion, Dr. SS Sivaraju exemplifies excellence in engineering research and education, consistently driving advancements in renewable energy integration, smart grid technology, and intelligent system design. His vision for academic excellence, sustainable innovation, and interdisciplinary collaboration continues to inspire future engineers and researchers across the global scientific community.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Sivaraju, S. S. (2023). Optimized energy management strategy for hybrid renewable systems using soft computing approaches. Energy Reports, 9, 115–124. (Citations: 28)
Sivaraju, S. S. (2022). Design and analysis of induction motor efficiency improvement using fuzzy logic control. Journal of Electrical Systems, 18(3), 450–462. (Citations: 35)
Sivaraju, S. S. (2021). Smart grid optimization through artificial intelligence and IoT integration. International Journal of Electrical Power & Energy Systems, 133, 107270. (Citations: 42)
Sivaraju, S. S. (2020). Modeling and simulation of electric vehicle powertrain using hybrid control algorithms. IEEE Access, 8, 185221–185230. (Citations: 39)
Sivaraju, S. S. (2019). Renewable energy-based distributed generation using adaptive control mechanisms. Renewable Energy, 136, 874–883. (Citations: 46)
Sivaraju, S. S. (2018). Optimization of power factor and energy loss minimization in induction motors via soft computing. Energy Conversion and Management, 171, 1203–1211. (Citations: 53)
Sivaraju, S. S. (2017). Neural network-based fault diagnosis in electric drives for industrial automation. International Journal of Control, Automation and Systems, 15(5), 2134–2145. (Citations: 31)

Saikat Gochhait | Energy and Sustainability | Best Researcher Award

Published on 04/12/202404/12/2024 by Research Hypothesis

Saikat Gochhait | Energy and Sustainability | Best Researcher Award

Dr Saikat Gochhait, Symbiosis Institute of Digital and Telecom Management, India

Assoc. Prof. Dr. Karen Allison is a dynamic academic with extensive expertise in Digital and Telecom Management. Currently serving at Symbiosis International Deemed University, Pune, she has held roles at Asian School of Business Management and the Ministry of MSME. Her impressive academic journey spans a Ph.D. in Industrial Marketing from Sambalpur University, postdoctoral fellowships in Taiwan and Spain, and an Honoris Causa doctorate from Mexico. A senior IEEE member, her impactful research includes AI in branding and optimization algorithms. Passionate about innovation and collaboration, Dr. Allison is a Teaching and Research Fellow at Samara State Medical University. 🌟📚🌐

Publication Profile

google scholar

Education

Dr. Saikat Gochhait 🎓✨ holds a Postdoctoral Fellowship in Entrepreneurship from the University of Extremadura (2018) and another from National Dong Hwa University (2019). He earned his PhD in Marketing from Sambalpur University, India (2014), supported by the prestigious Doctoral Bursary Award from Coventry University (2010). Throughout his academic journey, Dr. Gochhait has been honored with esteemed fellowships, including the DITA Fellowship from the University of Deusto (2016), the MOFA Taiwan Fellowship (2019), and a Russian Fellowship from Samara State Medical University (2020). His achievements underscore his dedication to advancing knowledge and fostering global academic collaboration. 🌍📚

Teaching and Industry Experience

Dr. Saikat Gochhait is a seasoned academic with 15 years of teaching experience in marketing, entrepreneurship, and IT, complemented by five years in manufacturing with Tata and Bajoria Groups. He has earned prestigious accolades, including the MOFA Taiwan Fellowship (2019) and the Russian Fellowship from Samara State Medical University (2020). A proponent of research-led education, Dr. Gochhait’s expertise bridges theoretical and practical domains, fostering innovation and impactful learning. His diverse background and global recognition reflect his dedication to excellence in academia and industry. 🌟📚🏭

Achievements and Innovations 🏆🤖

Dr. Saikat Gochhait holds an honorary doctorate and serves as a Teaching and Research Fellow at Samara State Medical University. Her distinguished academic contributions are further solidified by her active membership in IEEE, reflecting her global recognition in the academic and research community. With expertise spanning various fields, she has become a prominent figure in education, research, and innovation. Her dedication to advancing knowledge and fostering collaboration continues to inspire peers and students alike. Dr. Gochhait exemplifies excellence through her impactful roles and influential presence in the scholarly world. 👩‍🎓✨🌍

Research Focus

Dr. Saikat Gochhait’s research focuses on artificial intelligence (AI), optimization algorithms, cloud computing, agile software development, and digital technologies, particularly in the fields of e-commerce, healthcare, and cybersecurity. He has explored AI’s impact on branding and behavior patterns in e-commerce, along with bio-inspired optimization algorithms such as the Pufferfish and Giant Armadillo algorithms. Additionally, his work extends to cloud computing’s role in agile software development and machine learning applications in healthcare, including bed occupancy issues. Dr. Gochhait’s interdisciplinary approach combines computer science, AI, and technology for practical applications. 💻🤖📊🌐⚙️🧠