Mr. Jaswant Singh | Energy Technologies | Best Researcher Award

Mr. Jaswant Singh | Energy Technologies | Best Researcher Award

Lecturer, Government Polytechnic Chhachha Bhogaon Mainpuri, India

Jaswant Singh is an accomplished academician and researcher in the field of Electrical Engineering. Currently serving as a Lecturer in the Electrical Engineering Department at Government Polytechnic Chhachha Bhogaon, Mainpuri (UP) since 2021, he has been actively contributing to the domain of power electronics, drives, and electrical machines. With over a decade of teaching and research experience, he has held significant positions in reputed institutions across India. His dedication to advancing knowledge is reflected in his extensive research contributions and leadership roles in academia.

Publication Profile

🎓 Education

Jaswant Singh is presently pursuing his Ph.D. in Electrical Engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India. He holds an M.Tech. in Power Electronics & Drives from Kamla Nehru Institute of Technology (KNIT), Sultanpur, which he completed in 2011. His academic journey began with a B.Tech. degree in Electrical Engineering from Uttar Pradesh Technical University (UPTU) in 2009. His strong educational foundation has fueled his research and teaching endeavors.

💼 Experience

Jaswant Singh has a rich professional background, having served in multiple institutions in various capacities. He began his teaching career in 2011 as an Assistant Professor & Head at P.K. Institute of Technology & Management, Mathura. Later, he joined Shri Ram Group of Colleges (SRGC), Muzaffarnagar, as an Assistant Professor & Head in 2012. From 2015 to 2018, he worked as an Assistant Professor at Arya College of Engineering & IT, Jaipur. He also contributed as an Assistant Professor at Rajkiya Engineering College (REC), Ambedkar Nagar, from 2018 to 2020 before taking up his current role.

🏆 Awards and Honors

Jaswant Singh has earned recognition for his research contributions in power electronics and drives. His membership in IEEE highlights his commitment to professional development and staying updated with global advancements in electrical engineering. His scholarly achievements and research publications have been well-received in academic and industrial communities.

🔬 Research Focus

His primary research interests include power electronics & drives, power operation systems, and power quality issues. He has contributed significantly to the field through his work on control and simulation of electrical machines, MPPT techniques for solar energy, and microgrid management. His research aims to optimize power systems for enhanced efficiency and sustainability.

📚 Publications

Performance Evaluation of LMPO-Based MPPT Technique for Two-Stage GIPV System with LCL Under Various Meteorological Conditions – Processes (2025) [🔗 DOI: 10.3390/pr13030849]

Issues and Challenges of Latest Green Energy Technology – Applied Artificial Intelligence (2022) [🔗 EID: 2-s2.0-85146140459]

Comparative Analysis of MPPT Control Techniques – Frontiers in Energy Research (2022) [🔗 DOI: 10.3389/fenrg.2022.856702]

Recent Control Techniques and Management of AC Microgrids – International Transactions on Electrical Energy Systems (2021) [🔗 DOI: 10.1002/2050-7038.13035]

Performance Investigation of PMSM Drive Using Vector Controlled Technique – ICPES (2012) [🔗 DOI: 10.1109/icpces.2012.6508040]

Investigation of PMSM Drives Using DTC-SVPWM Technique – IEEE SCES (2012) [🔗 DOI: 10.1109/sces.2012.6199092]

Improvement of Power Factor and Harmonics Reduction in Induction Motors – SEISCON (2011) [🔗 DOI: 10.1049/cp.2011.0419]

Performance Evaluation of Direct Torque Control with PMSM – SAMRIDDHI Journal (2011) [🔗 DOI: 10.18090/samriddhi.v2i2.1602]

🔚 Conclusion

Jaswant Singh’s academic journey is marked by his unwavering commitment to teaching, research, and innovation in electrical engineering. His extensive contributions in power electronics, renewable energy, and control systems demonstrate his expertise in the field. As an active researcher and educator, he continues to inspire students and contribute to cutting-edge technological advancements. 🚀

Sseguya Fred | Environmental Engineering | Best Researcher Award

Dr. Sseguya Fred | Environmental Engineering | Best Researcher Award

Doctoral Researcher, Sungkyunkwan University, South Korea

🌍 Dr. Sseguya Fred, born on March 24, 1987, is a dedicated Doctoral Researcher at Sungkyunkwan University, Seoul, South Korea, specializing in water and environmental engineering. With a strong academic background and professional expertise, he integrates advanced technologies like machine learning and remote sensing to address pressing global challenges in hydrology, flooding, and drought analysis. Fred’s research contributions reflect his commitment to sustainable resource management and environmental engineering. 🌱📊

Publication Profile

Scopus

Education

🎓 Dr. Sseguya Fred holds a Doctoral Researcher position at Sungkyunkwan University, Seoul, South Korea, in the Department of Civil, Architectural, and Environmental System Engineering. He earned a Master of Science in Water Resources Technology and Management from the University of Birmingham, UK 🌧️, and a Bachelor of Science in Civil and Water Resources Engineering from the University of Dar es Salaam, Tanzania. 🌊📘

Experience

🔧 Fred worked as an Engineer for Uganda’s Ministry of Water and Environment (2013–2019), overseeing water diversion for dam construction, monitoring water quality 🌿, and ensuring environmental compliance. Since 2020, he has been advancing water and environmental engineering research at Sungkyunkwan University, focusing on machine learning, remote sensing, and hydrological systems. 🛰️💻

Research Interests

📡 Dr. Sseguya Fred’s research spans hydrology and water resource management, remote sensing applications, and the integration of machine learning for analyzing floods and droughts. He is also passionate about environmental engineering and the sustainable management of hydraulic systems. 🌍💧

Awards

🏆 Although specific awards are not listed, Dr. Fred’s academic journey and professional achievements demonstrate his dedication to excellence in environmental engineering and hydrology.

Publications

Deep Learning Ensemble for Flood Probability Analysis

Drought Quantification in Africa Using Remote Sensing, Gaussian Kernel, and Machine Learning