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

Priyabrata Pattanaik | Energy | Best Researcher Award

Prof. Dr. Priyabrata Pattanaik | Energy | Best Researcher Award

Siksha O Anusandhan University | India

Prof.Dr. Priyabrata Pattanaik is a Professor of Electronics and Communication Engineering and an active research leader contributing significantly in semiconductor sensors and IoT-enabled device innovation. He has supervised doctoral, postgraduate, and undergraduate research while holding key academic and research administrative roles including Additional Dean (Research) and Director of research and innovation initiatives. His academic identity reflects strong research impact with more than 100 indexed publications (Scopus: Documents 99, Citations 238, h-index 8; Web of Science: Documents 38, Citations 83, h-index 5; Google Scholar: Documents 85, Citations 279, h-index 9) and a portfolio of 33 patents, including several granted. His research interests span semiconductor material-based biosensors, industrial sensors, piezoelectric energy harvesting systems, SAW sensors, MEMS devices, and IoT-assisted health and environmental monitoring prototypes. He has engaged in multiple international and national research collaborations, advancing sensor materials like ZnO and Sr-HT-Willemite for biomedical, textile, and agricultural applications. With a strong background in VLSI design, semiconductor device simulation, and interdisciplinary prototype development, he combines academic depth with practical innovation. His professional journey includes extensive teaching experience, research lab leadership, conference organization, and reviewer and editorial responsibilities. He continues to contribute to emerging smart sensing technologies for societal and industry advancement.

Profile: Orcid

Featured Publications

Mohanty, T., Pattanaik, P., Dash, S., Tripathy, H. P., & Holderbaum, W. (2025). Smart robotic system guided with YOLOv5 based machine learning framework for efficient herbicide usage in rice (Oryza sativa L.) under precision agriculture. Computers and Electronics in Agriculture, (Article 110032). https://doi.org/10.1016/j.compag.2025.110032

Mohanty, T., Dash, S., Pattanaik, P., Tripathy, H. P., Gulati, J. M. L., Mishra, D. K., & Holderbaum, W. (2025). Utilization of biomass ash generated from combined heat and power generation system as a multi-nutrient source for crops. International Journal of Thermofluids, (Article 101037). https://doi.org/10.1016/j.ijft.2024.101037

Subudhi, D. K., Biswal, B., Jena, S., Pattanaik, P., & Mishra, D. K. (2024). Role of site-specific Ho substitution on the structural, morphological, electrical and dielectric properties of BiFeO₃. Phase Transitions. https://doi.org/10.1080/01411594.2024.2393404

Panda, S. S., Tripathy, H. P., Satapathy, L. M., Pattanaik, P., Kamilla, S. K., Mishra, D. K., & Mahapatra, P. K. (2024). Synthesis and characterization of zinc oxide reinforced fly ash piezoelectric floor tiles for automated sanitization system application. Journal of Materials Science: Materials in Electronics. https://doi.org/10.1007/s10854-024-12762-7

Banaja Mohanty | Energy | Best Researcher Award

Assoc. Prof. Dr. Banaja Mohanty | Energy | Best Researcher Award

Veer Surendra Sai University of Technology | India

Dr. Banaja Mohanty is an accomplished Associate Professor at Veer Surendra Sai University of Technology (VSSUT), Burla, with a strong academic and research foundation in engineering and technology. With 47 published documents and 1,638 citations received from 1,270 referenced works, she has achieved an impressive h-index of 17, reflecting her consistent research impact in her field. Her scholarly contributions encompass areas such as renewable energy systems, power electronics, and smart grid technologies, with a particular focus on sustainable and efficient energy solutions. Dr. Mohanty has guided several research projects and collaborated with industry and academic partners to promote innovation-driven learning. She has contributed to leading SCI and Scopus-indexed journals, participated in national and international conferences, and has served as a reviewer and editorial board member for reputed journals. Her active involvement in academic development and mentoring young researchers has strengthened the research culture within her institution. Dr. Mohanty’s achievements are marked by her dedication to scientific excellence, innovation, and knowledge dissemination. Her continued commitment to advancing research in emerging technologies underscores her reputation as a distinguished academic and researcher, contributing significantly to the scientific community.

Profiles: Google Scholar | Scopus

Featured Publications

Mohanty, B., Panda, S., & Hota, P. K. (2014). Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system. International Journal of Electrical Power & Energy Systems, 54, 77–85.

Panda, S., Mohanty, B., & Hota, P. K. (2013). Hybrid BFOA–PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems. Applied Soft Computing, 13(12), 4718–4730.

Mohanty, B., Panda, S., & Hota, P. K. (2014). Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity. Alexandria Engineering Journal, 53(3), 537–552.

Hota, P. K., & Mohanty, B. (2016). Automatic generation control of multi source power generation under deregulated environment. International Journal of Electrical Power & Energy Systems, 75, 205–214.

Mohanty, B., & Tripathy, S. (2016). A teaching learning based optimization technique for optimal location and size of DG in distribution network. Journal of Electrical Systems and Information Technology, 3(1), 33–44.