Takwa Hamdi | Energy Technologies | Best Researcher Award

Ms. Takwa Hamdi | Energy Technologies | Best Researcher Award

PhD Candidate in Mechanical and Energy Engineering | University of Gabes | Tunisia

Ms. Takwa Hamdi is a dedicated PhD student in Mechanical and Energy Engineering at the National Engineering School of Gabes, Tunisia, specializing in advanced combustion modeling and alternative fuels. With a strong academic foundation, she has pursued her bachelor’s, master’s, and doctoral studies in mechanical engineering with excellence, graduating as class valedictorian during her master’s program. Her research focuses on dual-fuel engine combustion, particularly the use of light alcohols and hydrogen in internal combustion engines, employing advanced numerical simulation tools such as ANSYS Forte, Matlab, Abaqus, SolidWorks, and CFD-based approaches. Driven by a passion for sustainable energy solutions, she is motivated to contribute to the development of low-emission technologies that address global energy challenges. Alongside her research, Takwa serves as an Adjunct Lecturer at the Higher Institute of Technological Studies of Gabes, where she teaches courses in dismountable assembly processes, CAD using SolidWorks, welding, and mechanical design projects, combining theoretical knowledge with hands-on applications to support student learning. She has also gained experience in developing educational materials, supervising student projects, and guiding practical workshops, which highlights her strong communication and leadership skills. Fluent in Arabic, French, and English, she is able to collaborate effectively in international and multicultural environments. Beyond her academic and teaching career, she demonstrates strengths in analytical thinking, problem-solving, and research innovation, with interests in technology, cultural exploration, and community volunteering. Motivated, research-oriented, and passionate about innovation, Takwa aims to further her expertise by contributing to cutting-edge projects in energy, combustion, and sustainability through collaborative scientific research and internships.

Profile: Scopus | LinkedIn | ResearchGate

Featured Publications

Hamdi, T., Hamdi, F., Molima, S., Domínguez, V. M., Rodríguez-Fernández, J., Hernández, J. J., & Chrigui, M. (2025). Numerical investigation of hydrogen substitution ratio effects on spray characteristics, combustion behavior, and emissions in a dual-fuel compression ignition engine.

Molima, S., Hamdi, F., Hamdi, T., Muya, G. T., Mondo, K., Amsini, S., & Chrigui, M. (2025). Effects of H2 substitution on combustion and emissions in ammonia/diesel compression ignition engine. Energy Conversion and Management, Elsevier.

Hamdi, T., Hamdi, F., Molima, S., Hernandez, J. J., & Chrigui, M. (2025). Computational analysis on the effect of methanol energy ratio on the spray and combustion pattern of a dual-fuel compression ignition engine. Journal of Energy Resources Technology, ASME.

Sisil Kumarawadu | Energy systems applications | Excellence in Innovation

Prof. Sisil Kumarawadu | Energy systems applications | Excellence in Innovation

Senior Professor, University of Moratuwa, Sri Lanka

Sisil Kumarawadu, Ph.D., is a Senior Professor in Electrical Engineering at the University of Moratuwa, Sri Lanka, and a distinguished professor at Shanghai University of Electric Power. With expertise in smart energy-efficient systems, systems automation, and AI applications, he has made significant contributions to robotics, intelligent systems, and applied statistics. His leadership extends to his past roles as the Head of the Department of Electrical Engineering and Chairman of the Board of Governors at the Arthur C. Clarke Institute for Modern Technologies. Dr. Kumarawadu’s career includes research, teaching, and mentorship, further enhancing his stature as a leading academic and innovator in electrical engineering. 📚💡🌍

Publication Profile

Scopus

Education:

Dr. Kumarawadu holds a Ph.D. in Robotics and Intelligent Systems from Saga National University, Japan (2003), a Master’s degree in Advanced Systems Control Engineering from the same institution (2000), and a First Class Honours BSc in Electrical Engineering from the University of Moratuwa, Sri Lanka (1996). 🎓📘

Experience:

Dr. Kumarawadu has over two decades of experience in academia, having served as a Senior Professor, Professor, and Associate Professor in Electrical Engineering at the University of Moratuwa. He has held notable positions including the Exetel Endowed Professor in Artificial Intelligence and Postdoctoral Research Fellow at the National Central University, Taiwan. He has delivered keynote speeches at major international conferences and has contributed to several research projects in automation, energy systems, and AI. 🏫🌍📈

Research Interests:

Dr. Kumarawadu’s research interests include smart energy-efficient systems, systems automation and control, AI applications, and applied statistics. He is particularly focused on innovations in robotics, intelligent transportation systems, and sustainable energy solutions, contributing to various cutting-edge advancements in these fields. ⚡🤖🔬

Awards:

Dr. Kumarawadu has received numerous prestigious awards, including the Sri Lanka Education Leadership Award (2019), the National Research Council Merit Award for Scientific Publications (2010), and the Presidential Award for Scientific Research Publications (2007, 2008). He has also been honored as an Overseas Distinguished Professor by Shanghai University of Electric Power and recognized in the Marquis Who’s Who in the World (25th Edition). 🏆🥇🎖️

Publications:

“NILM for Commercial Buildings: Deep Neural Networks Tackling Non-Linear and Multi-Phase Loads,” Energies (Section F: Electrical Engineering), Vol. 17, Issue 15, August 2024.

“A Biphasic Machine Learning Approach for Detecting Electricity Theft Cyberattacks in Smart Grids,” IEEE Trans. Smart Grids (under review).
Link to publication

“Dijkstra Method Based Zone Temperature Management Strategy for Optimal Energy Saving with Guaranteed Thermal Comfort,” The International Journal of Building Science and its Applications (under review).
Link to publication

“Review on Li-Ion Battery Parameter Extraction Methods,” IEEE Access, Vol. 11, 2023.
Link to publication

“Deep Learning-based Non-Intrusive Load Monitoring for a Three-Phase System,” IEEE Access, Vol. 11, 2023.
Link to publication