Mrs. Tharangika Bambaravanage | Green Technologies | Green Energy Award

Published on by Superior Awards

Mrs. Tharangika Bambaravanage | Green Technologies | Green Energy Award

Mrs. Tharangika Bambaravanage | Institute of Technology, University of Moratuwa | Sri Lanka

Mrs.  Tharangika Bambaravanage is a Senior Lecturer at the Institute of Technology, University of Moratuwa, with more than 20 years of experience in electrical engineering. Her research focuses on renewable energy, green technologies, and power system stability, contributing to the advancement of sustainable and efficient power systems. She has completed 4 major research projects and is currently leading 1 ongoing project in collaboration with the Ceylon Electricity Board on minimizing the impact of solar photovoltaic (PV) penetration on the power quality of distribution lines. Dr. Bambaravanage has published 7 academic documents indexed in Scopus, with citations by 3 documents and an h-index of 1. According to Google Scholar, she has received 42 total citations and 27 in recent years, with an h-index of 5 and 3 respectively. Her scholarly work includes 4 journal papers, 2 book chapters, and 1 published book addressing issues in power system operation and sustainable energy management. As a Chartered Engineer and professional member of the Institute of Electrical and Electronics Engineers and the Institution of Engineers Sri Lanka, she plays a key role in bridging academia and industry while driving innovation in renewable and resilient energy systems.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

  • Bambaravanage, T., Kumarawadu, S., & Rodrigo, A. (2016). Comparison of three under-frequency load shedding schemes referring to the power system of Sri Lanka. Engineer: Journal of the Institution of Engineers, Sri Lanka, 49(1), 9.

  • Bambaravanage, T., Rodrigo, A. S., Kumarawadu, S. P., & Lidula, N. (2013). A new scheme of under frequency load shedding and islanding operation. Annual Transactions of the Institution of Engineers, Sri Lanka, 290–296.

  • Dilushani, P. D. R., Nawodani, W. R. N., Bambaravanage, T., & Udayakumar, K. A. C. (2020). Soil resistivity analysis and earth electrode resistance determination. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), 15(2), 26–35.

  • Bambaravanage, T., Rodrigo, A., & Kumarawadu, S. (2018). Modeling, simulation, and control of a medium-scale power system. Springer.

  • Bambaravanage, T., Kumarawadu, S., Rodrigo, A., & Arachchige, L. N. W. (2013). Under-frequency load shedding for power systems with high variability and uncertainty. In 2013 IEEE International Conference on Signal Processing, Computing and Control (pp. 1–6).

  • Bambaravanage, T., Perera, C., & Rodrigo, A. (2025). An effective stability solution for small power systems with high distributed generation. Discover Energy, 5(1), 17.

  • Bambaravanage, T., Rodrigo, A., & Kumarawadu, S. (2017). Designing the load shedding scheme. In Modeling, Simulation, and Control of a Medium-Scale Power System (pp. 97–120). Springer.

 

Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

Published on by Superior Awards

Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

Dr. Kun-Ying Li | National Chin-Yi University of Technology | Taiwan

Dr. Kun-Ying Li is an accomplished researcher in sustainable engineering and intelligent manufacturing, focusing on low-carbon technologies and energy-efficient machine tools. His research encompasses ISO14064-1:2018 greenhouse gas inventory, industrial energy-saving methods, intelligent thermal error analysis, cooling optimization, multi-objective optimization, and precision machinery design. His work emphasizes the integration of reliability engineering, applied mathematics, smart manufacturing systems, and computer-assisted engineering within the framework of Industry 4.0. He has contributed to several industry-academic collaboration projects aimed at optimizing cooling systems for multi-axis machine tools and implementing carbon inventory strategies in manufacturing transformation programs. These projects have involved partnerships with precision machinery and metal manufacturing companies, supported by national funding agencies. His expertise extends to developing innovative approaches for reducing energy consumption, enhancing process reliability, and improving the performance of advanced machine tools. Through a combination of technical insight and practical application, his research supports the transition toward intelligent, sustainable, and high-efficiency production systems that align with global goals for carbon reduction and green industry innovation. He has 220 citations by 151 documents, 29 published documents, and an h-index of 9, reflecting his consistent research contributions and growing academic influence in the fields of precision engineering and green manufacturing.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

  • Liu, Y. C., Li, K. Y., & Tsai, Y. C. (2021). Spindle thermal error prediction based on LSTM deep learning for a CNC machine tool. Applied Sciences, 11(12), 5444.

  • Li, K. Y., Luo, W. J., & Wei, S. J. (2020). Machining accuracy enhancement of a machine tool by a cooling channel design for a built-in spindle. Applied Sciences, 10(11), 3991.

  • Hsieh, M. C., Maurya, S. N., Luo, W. J., Li, K. Y., Hao, L., & Bhuyar, P. (2022). Coolant volume prediction for spindle cooler with adaptive neuro-fuzzy inference system control method. Sensors & Materials, 34, 28.

  • Li, K. Y., Luo, W. J., Hong, X. H., Wei, S. J., & Tsai, P. H. (2020). Enhancement of machining accuracy utilizing varied cooling oil volume for machine tool spindle. IEEE Access, 8, 28988–29003.

  • Li, K. Y., Maurya, S. N., Lee, Y. H., Luo, W. J., Chen, C. N., & Wellid, I. (2023). Thermal deformation and economic analysis of a multi-object cooling system for spindles with varied coolant volume control. The International Journal of Advanced Manufacturing Technology, 126(3), 1807–1821.

  • Maurya, S. N., Li, K. Y., Luo, W. J., & Kao, S. Y. (2022). Effect of coolant temperature on the thermal compensation of a machine tool. Machines, 10(12), 1201.