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

Padmini Sankaramurthy | Energy | Research Excellence Award

Dr. Padmini Sankaramurthy | Energy | Research Excellence Award

SRM Institute of Science and Technology | India

Dr. S. Padmini is an accomplished academic and researcher with a strong foundation in Electrical and Electronics Engineering, advanced training in Power Systems Engineering, and doctoral work centered on intelligent algorithms for hydrothermal scheduling, further strengthened by an ongoing postdoctoral fellowship in multidisciplinary AI applications. With extensive teaching and research experience in a premier institution, she has contributed significantly to curriculum development, research supervision, academic leadership, and large-scale institutional activities. Her scholarly output includes publications indexed in major databases, patents, major project proposals, international collaborations, and diverse technical contributions across intelligent systems, power systems optimization, energy economics, and AI-driven engineering solutions. She has delivered numerous courses, created substantial digital learning resources, and guided students at multiple academic levels. Her research has earned citations totalling 341, along with an h-index of 10 and an i10-index of 10, demonstrating meaningful global impact. She is recognized for excellence through multiple awards, including distinguished scientific honours, innovation-driven recognitions, and accolades for academic contributions. Her ongoing collaborations across global universities reflect her commitment to advancing multidisciplinary research. Dr. Padmini’s work continues to integrate engineering intelligence, sustainable energy solutions, and advanced computational methods to support emerging technological needs and societal progress.

Profiles: Google Scholar | Orcid | Scopus

Featured Publication

Jeevadason, A. W., Padmini, S., Bharatiraja, C., & Kabeel, A. E. (2022). A review on diverse combinations and Energy-Exergy-Economics (3E) of hybrid solar still desalination. Desalination, 527, 115587.

Rebecca, B., Kumar, K. P. M., Padmini, S., Srivastava, B. K., Halder, S., & Boopathi, S. (2024). Convergence of Data Science-AI-Green Chemistry-Affordable Medicine: Transforming Drug Discovery. In Handbook of Research on AI and ML for Intelligent Machines and Systems (pp. 348–373).

Venkatesh, B., Sankaramurthy, P., Chokkalingam, B., & Mihet-Popa, L. (2022). Managing the demand in a micro grid based on load shifting with controllable devices using hybrid WFS2ACSO technique. Energies, 15(3), 790.

Lakshmi, K., Amaran, S., Subbulakshmi, G., Padmini, S., Joshi, G. P., & Cho, W. (2025). Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images. Scientific Reports, 15(1), 690.

Sankaramurthy, P., Chokkalingam, B., Padmanaban, S., Leonowicz, Z., … Padmini, S. (2019). Rescheduling of generators with pumped hydro storage units to relieve congestion incorporating flower pollination optimization. Energies, 12(8), 1477.

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.

Suganthi D | Engineering | Best Researcher Award

Prof. Suganthi D | Engineering | Best Researcher Award

Vellore Institute of Technology | India

Dr. D. Suganthi is a dedicated researcher and academic professional in Electrical Engineering, currently serving as a Research Associate and pursuing her Ph.D. at VIT, Chennai. She holds a Bachelor’s degree in Electrical and Electronics Engineering from Sri Sairam Engineering College and a Master’s degree in Power Systems Engineering from the College of Engineering, Guindy, Anna University. Her research focuses on advanced power system technologies, including microgrid systems, transactive energy, demand response, peer-to-peer trading, vehicle-to-grid (V2G), grid-to-vehicle (G2V), and smart grid applications. She has contributed to several high-impact publications, including research on optimizing campus microgrid energy systems and smart home energy scheduling. Her work integrates economic, environmental, and sensitivity insights into energy management, enhancing the sustainability of distributed generation systems. Dr. Suganthi’s research has received 156 citations, with an h-index of 6 and an i10-index of 4, reflecting her growing influence in the field. She has also co-authored multiple book chapters in reputed international publications. Her academic journey reflects a strong commitment to advancing clean and intelligent energy systems through innovative solutions and collaborative research, contributing significantly to the global transition toward sustainable energy technologies.

Profile: Orcid

Featured Publications

Suganthi, D., & Jamuna, K. (2025). Optimizing campus microgrid energy systems: Economic, environmental, and sensitivity insights. Energy Conversion and Management: X. https://doi.org/10.1016/j.ecmx.2025.101046

Jamuna, K., Suganthi, D., & Angalaeswari, S. (2022). Energy economic appliances’ scheduling for smart home environment. In Smart Buildings Digitalization: Case Studies on Data Centers and Automation (pp. [pages if available]). CRC Press. https://doi.org/10.1201/9781003240853-9

Suganthi, D., & Jamuna, K. (2021). Charging and discharging characterization of a community electric vehicle batteries. In Smart Buildings Digitalization (pp. [pages if available]). CRC Press. https://doi.org/10.1007/978-981-16-0719-6_17

Karthic SV | Energy | Best Researcher Award

Dr. Karthic SV | Energy | Best Researcher Award

Madras Institute of Technology, India

Author Profile

SCOPUS

🎓 EARLY ACADEMIC PURSUITS

Dr. Karthic S. V began his academic journey with a Bachelor’s degree in Mechanical Engineering (2009–2013), followed by a Master’s in Thermal Engineering (2013–2015). His academic excellence and deep inclination toward sustainable energy systems led him to pursue a Ph.D. at the prestigious Madras Institute of Technology, Anna University, specializing in Hydrogen Dual Fuel Engine Research. His formative years laid the foundation for his enduring contributions to clean energy and combustion research.

🏢 PROFESSIONAL ENDEAVORS

Dr. Karthic is currently serving as a Test Engineer (R&D) in the electric vehicle domain, with a strong focus on Battery Thermal Management Systems (BTMS). He brings a multidisciplinary approach to testing, automation, thermal analysis, and simulation using platforms like ANSYS CFD, AVL Indsmart, and CONVERGE CFD.

His career has seen impactful stints:

  • Test Engineer – Designing simulation models for BTMS in EVs, evaluating nanofluid coolants, and managing emission tests.

  • Research Assistant – At the Hydrogen production plant and Combustion Engine Lab, MIT, where he was involved in lab setups and experimental methodologies.

  • Research Scholar – Engaged in full-time hydrogen combustion research, he developed an advanced test bench for hydrogen-based dual fuel engines.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ENERGY

Dr. Karthic’s core research revolves around Hydrogen Dual Fuel Engines, Alternative Fuels, Emission Control, and BTMS using Nanofluids. He has consistently integrated Artificial Neural Networks (ANN) and simulation-based optimization techniques in engine and battery thermal systems. His work targets high thermal efficiency, lower emissions, and innovative cooling mechanisms for sustainable mobility and energy conversion.

Notable areas of contribution include:

  • Hydrogen Biofuel-based RCCI Engines

  • Methanol & Waste Cooking Oil in CRDI Systems

  • Hydrogen enrichment and knock-limiting strategies

  • AI-based modeling for combustion performance

🏅 ACCOLADES AND RECOGNITION

  • Recognized as a leading early-career hydrogen fuel researcher

  • His publications in top-tier journals have earned him international repute

  • Acknowledged for the development of a custom engine test bench for hydrogen combustion

  • Esteemed by faculty and researchers for his interdisciplinary methodology and innovation

🌍 IMPACT AND INFLUENCE

Dr. Karthic’s research has a significant technological and environmental impact. By focusing on cost-effective, scalable, and application-oriented solutions, his work advances clean energy technologies aligned with UN SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action). His studies on renewable-fueled engines and emission optimization hold the potential for industrial application in both automotive and power sectors.

His influence extends to mentoring, technical collaborations, and contribution to the growing body of AI-integrated combustion science.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Karthic aims to revolutionize clean mobility through:

  • Integrating hydrogen fuel technologies with real-time AI simulations

  • Creating next-gen BTMS for safer and more efficient electric vehicles

  • Expanding his research to green hydrogen production and fuel cell integration

  • Training the next generation of engineers and researchers in sustainable power systems

His vision is to bridge the gap between academic research and real-world energy solutions.

 ✅CONCLUSION

Dr. Karthic S. V exemplifies the synergy of research brilliance, industrial pragmatism, and environmental foresight. With a strong footing in thermal sciences, hydrogen fuel, and electric vehicle systems, his contributions are poised to reshape clean energy landscapes. Through his continued innovations, collaborative efforts, and future-forward thinking, Dr. Karthic stands as a beacon of sustainable engineering and energy research.

🔬NOTABLE PUBLICATION:

Title: Experimental investigations on hydrogen biofueled reactivity controlled compression ignition engine using open ECU
Author: Karthic, S.V., M. Senthil Kumar
Journal: ENERGY
Year: 2021

Title: Split injection strategies based RCCI combustion analysis with waste cooking oil biofuel and methanol in an open ECU assisted CRDI engine
Author: Karthic, S.V., et al.
Journal: FUEL
Year: 2022

Title: Assessment of hydrogen-based dual fuel engine on extending knock limiting combustion
Author: Karthic, S.V., M. Senthil Kumar, et al.
Journal: FUEL
Year: 2020

Title: An assessment on injection pressure and timing to reduce emissions on diesel engine powered by renewable fuel
Author: Karthic, S.V., M. Senthil Kumar, et al.
Journal: Journal of Cleaner Production
Year: 2020

Title: Experimental assessment of effects of n-Butanol on performance, emission, and combustion characteristics of Mahua oil fueled Reactivity Controlled Compression Ignition (RCCI) engine
Author: Selvaraju, Karthic
Journal: Emission Control Science and Technology
Year: 2020