Thulasingam Muthukumaran | Electrical Engineering | Research Excellence Award

Mr. Thulasingam Muthukumaran | Electrical Engineering | Research Excellence Award

Puducherry Technological University | India

T. Muthukumaran is a certified Energy Auditor known for his strong technical expertise, practical innovation, and impactful contributions to industrial energy efficiency. With an academic foundation that includes a postgraduate degree earned with a university rank, he has built a multidisciplinary profile spanning automation, electrical systems, and renewable energy technologies. Over his long professional experience, he has contributed significantly to energy auditing, electrical maintenance, industrial automation, and solar power deployment, completing more than a hundred energy audits for diverse industries and providing actionable recommendations that enhanced operational efficiency. His earlier industry role strengthened his proficiency in PLC programming, HMI and SCADA integration, servo applications, pneumatics, power quality, UPS testing, and solar PV system design. His research and technical documentation record includes 10 documents, 11 citations, and an h-index of 2, reflecting growing recognition of his work. His interests encompass energy conservation, industrial automation, renewable energy systems, and electrical safety. He has also contributed to national-level audits and training programs, including modules on automation, solar PV, and electrical design, supporting skill development for engineers and technicians. His professional journey is marked by problem-solving, innovation, and a commitment to sustainable industrial practices, reinforcing his role as a specialist in energy and automation solutions.

Profiles: Scopus | Orcid

Featured Publication

Muthukumaran, T., & Periyanayagam, A. D. V. R. (2026). Performance and analysis of power distribution in low voltage consumer end and reconfiguration of distribution lines. In Book chapter. https://doi.org/10.1007/978-3-032-00983-8_8

Muthukumaran, T., & Periyanayagam, A. D. V. R. (2025). Energy forecasting models using different algorithm and modeling of hybrid renewable resources (HRE) for educational building: A comprehensive study. Electrical Engineering. https://doi.org/10.1007/s00202-024-02847-1

Muthukumaran, T., & Periyanayagam, A. D. V. R. (2025). Radial distribution systems performance enhancement through RE (Renewable Energy) integration and comprehensive contingency ranking analysis. Green Energy and Intelligent Transportation. https://doi.org/10.1016/j.geits.2024.100245

Muthukumaran, T., & Periyanayagam, A. D. V. R. (2024). Review of optimization tools used for design of distributed renewable energy resources. In Book chapter. https://doi.org/10.1007/978-3-031-58607-1_12

Muthukumaran, T., Periyanayagam, A. D. V. R., & Krishnamoorthy, M. (2024). Modeling of hybrid renewable resources and comprehensive feasibility analysis of grid interactive energy system for commercial building: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. https://doi.org/10.1080/15567036.2024.2409947

Pankaj Kumar Dubey | Electrical engineering | Young Researcher Award

Mr. Pankaj Kumar Dubey | Electrical engineering | Young Researcher Award

Kamla Nehru Institute of Technology Sultanpur | India

Pankaj Kumar Dubey is an active researcher whose work spans healthcare analytics, digital technologies, and emerging computational approaches. His research focuses on applying artificial intelligence and deep learning models to clinical decision-making, medical image analysis, and personalized treatment strategies. He has contributed to studies involving predictive modelling, pattern detection, and optimization frameworks that support improved diagnostic accuracy in healthcare systems. His work also explores the integration of digital tools, including blockchain and IoT-based solutions, to enhance transparency, data security, and efficiency in medical and industrial environments. His publications reflect multidisciplinary engagement, combining data science, biomedical engineering, and informatics to address contemporary challenges in healthcare and technology-driven ecosystems. He has participated in conferences and workshops presenting findings related to algorithmic optimization, intelligent systems, and AI applications in real-world scenarios. His research output includes peer-reviewed journal articles, conference presentations, and book chapters focusing on advanced computational methods. He has also collaborated on projects that utilize machine learning classifiers, neural networks, and hybrid models for problem-solving across domains such as supply chain management, disease prediction, and smart monitoring systems. His overall research demonstrates a strong commitment to innovation and the practical deployment of technology-enabled solutions that contribute to societal and scientific advancement.

Profile: Google Scholar | Orcid

Featured Publications

Singh, B., & Dubey, P. K. (2022). Distributed power generation planning for distribution networks using electric vehicles: Systematic attention to challenges and opportunities. Journal of Energy Storage, 48, 104030.

Yadav, S., Sudman, M. S. I., Dubey, P. K., Srinivas, R. V., Srisainath, R., & Devi, V. C. (2023). Development of a GA–RBF based model for penetration of electric vehicles and its projections. In 2023 International Conference on Self Sustainable Artificial Intelligence (ICSSAI).

Singh, B., Dubey, P. K., & Singh, S. N. (2022). Recent optimization techniques for coordinated control of electric vehicles in super smart power grids network: A state of the art. In 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON).

Dubey, P. K., Singh, B., Kumar, V., & Singh, D. (2024). A novel approach for comparative analysis of distributed generations and electric vehicles in distribution systems. Electrical Engineering, 106(3), 2371–2390.

Negi, P., Dubey, P. K., Kumar, S., Palodkar, A. V., & Kumar, A. (2023). Experimental investigation of waste polyolefin composition on thermal conversion into petroleum-derived products. Fuel, 348, 128466.