Aleksandr Kulikov | Energy and Sustainability | Research Excellence Award

Published on by Research Hypothesis

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.

 

 

SS Sivaraju | Renewable Energy Technologies | Innovative Research Award

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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 

  1. Sivaraju, S. S. (2023). Optimized energy management strategy for hybrid renewable systems using soft computing approaches. Energy Reports, 9, 115–124. (Citations: 28)

  2. 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)

  3. Sivaraju, S. S. (2021). Smart grid optimization through artificial intelligence and IoT integration. International Journal of Electrical Power & Energy Systems, 133, 107270. (Citations: 42)

  4. Sivaraju, S. S. (2020). Modeling and simulation of electric vehicle powertrain using hybrid control algorithms. IEEE Access, 8, 185221–185230. (Citations: 39)

  5. Sivaraju, S. S. (2019). Renewable energy-based distributed generation using adaptive control mechanisms. Renewable Energy, 136, 874–883. (Citations: 46)

  6. 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)

  7. 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)