Assist. Prof. Dr. Teerasak Somsak | renewable energy | Best Researcher Award

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Assist. Prof. Dr. Teerasak Somsak | renewable energy | Best Researcher Award

Lecturer, Ragamagala University of Technology Lann, Thailand

Asst. Prof. Teerasak Somsak (Ph.D.) is a dedicated academic and researcher in the field of Electrical Engineering, specializing in renewable energy and energy applications. Currently serving as a Lecturer at Rajamangala University of Technology Lanna, Thailand, he has made significant contributions to sustainable energy solutions, non-destructive testing, and rural development. With a strong background in photovoltaic systems, energy storage, and inductive wireless power transfer, he has been instrumental in advancing energy-efficient technologies. His extensive research and academic contributions continue to impact the fields of electrical engineering and environmental sustainability.

Publication Profile

Google Scholar

🎓 Education

Dr. Teerasak Somsak holds a Ph.D. in Electrical Engineering from Kanazawa University, Japan (2008). Prior to that, he earned an M.Eng. in Energy Technology (2000) and a Graduate Diploma in Energy Technology (1998) from King Mongkut’s University of Technology Thonburi. His academic journey began with a Higher Diploma in Electrical Power from Patumwan Institute of Technology in 1996, equipping him with a strong foundation in electrical and energy technologies.

💼 Experience

With over two decades of experience, Dr. Somsak has been actively engaged in research and academia. From 1998 to 2011, he worked as a researcher at King Mongkut’s University of Technology Thonburi, focusing on energy technology and sustainable power solutions. Since 2011, he has been a Lecturer at Rajamangala University of Technology Lanna, where he mentors students and leads research projects in renewable energy, energy storage, and rural electrification. His expertise extends to non-destructive testing and engineering solutions for agriculture.

🏆 Awards and Honors

Dr. Somsak’s contributions to renewable energy research have been widely recognized. In 2004, he received the Best Poster Presentation Award at the Photovoltaic Science and Engineering Conference (PVSEC-14) in Bangkok for his work on PV-Diesel Hybrid Systems. He was also a recipient of the prestigious Monbukagakusho (MEXT) Scholarship from the Japanese Ministry of Education, Culture, Sports, Science, and Technology, supporting his doctoral studies at Kanazawa University (2005-2008).

🔬 Research Focus

Dr. Somsak’s research primarily revolves around renewable energy applications, including photovoltaic, hydro, wind, and biomass energy systems. His work also extends to energy storage technologies and their applications in sustainable power generation. He has a keen interest in engineering solutions for agricultural sustainability (3EforA) and rural electrification. Additionally, he explores non-destructive testing methods using Eddy-current techniques, contributing to advancements in material evaluation and energy efficiency.

📚 Publications

A 10 kW Inductive Wireless Power Transfer Prototype for EV Charging in Thailand, IEEE Transactions on Electrical Engineering, Electronics, and Communications, 20(1), pp. 83-95. Cited in IEEE.

 Optimal solar energy on thermoelectric cooler of water generator in case study on flood crisis, Japanese Journal of Applied Physics, 57, 08RH05. Cited in JJAP.

 An economic evaluation comparison of solar water pumping system with engine pumping system for rice cultivation, Japanese Journal of Applied Physics, 54, 08KH01. Cited in JJAP.

Economic and Sensitivity Analyses for an Optimal Hybrid Power Generation for Stand-Alone Power Systems: Case of Klongrua, Phato, Chumphon, Thailand, 2022 International Electrical Engineering Congress (iEECON), Khon Kaen, Thailand. DOI: 10.1109/iEECON53204.2022.9741700.

A Prototype of Block UU Shape Ferrite Cores Inductive Wireless Power Transfer for EV Charger, 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Chiang Mai, Thailand. DOI: 10.1109/ECTICON51831.2021.9454859.

🔚 Conclusion

Dr. Teerasak Somsak is a distinguished educator and researcher dedicated to advancing renewable energy solutions and sustainable power systems. His expertise in photovoltaic systems, wireless power transfer, and rural electrification has made a significant impact in the field of electrical engineering. Through his research, teaching, and numerous publications, he continues to contribute to global energy sustainability and technological advancements. 🌱⚡

Mr. Jaswant Singh | Energy Technologies | Best Researcher Award

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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. 🚀

IDRISS DAGAL | Electrical Engineering | Best Researcher Award

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Dr. IDRISS DAGAL | Electrical Engineering | Best Researcher Award

Assistant Professor, Istanbul Beykent University, Turkey

Dr. Idriss Dagal, an Assistant Professor at Istanbul Beykent University, is a researcher and engineer from Chad specializing in Electrical Engineering, Renewable Energy, and Artificial Intelligence. With a career spanning over a decade, he has worked in various roles, including Aircraft Engineer and Lecturer, and has contributed extensively to the field of electrical systems, power electronics, and optimization algorithms. His academic journey includes a Ph.D. from Yıldız Technical University, Istanbul, Turkey, where he also completed his MSc in Avionics Engineering. Dr. Dagal has authored over 30 publications and is an active reviewer for renowned journals. 🌍💡

Publication Profile

ORCID

Education:

Dr. Dagal holds a Bachelor of Science (B.S.) degree in Industrial and Maintenance Engineering from Mongo Polytechnic University (Chad, 2006), a Master of Science (M.Sc.) in Aviation Engineering from Ethiopian Airlines Aviation School (Ethiopia, 2010), and a Ph.D. in Electrical Engineering from Yıldız Technical University (Turkey, 2022). He is currently pursuing a second M.Sc. in Avionics Engineering at Yıldız Technical University. 🎓📚

Experience:

Dr. Dagal’s professional experience spans multiple countries and roles, including serving as an Aircraft Maintenance Engineer in Chad, a Lecturer at various institutions in Chad, and a Sales Engineer in Turkey. Since 2024, he has been serving as an Assistant Professor at Istanbul Beykent University, Turkey, specializing in electrical engineering, renewable energy, and avionics. 🛠️✈️

Awards and Honors:

Dr. Dagal has received several prestigious awards, including the Chad’s Government National Scholarship (2003), Ethiopian Airlines Aviation School International Scholarship (2008), Turkish Government International Scholarship (2015), Young Research Scholarship Award for Eurasia Research (2019), and the Leadership Skills African Civic Engagement Academy (2022). 🏆🌟

Research Focus:

Dr. Dagal’s research interests are centered on optimization algorithms, artificial intelligence, renewable energy systems, power electronics, and aircraft control systems. His doctoral research focused on optimizing photovoltaic battery charging systems using hybrid particle swarm-based algorithms. He has a strong background in developing control mechanisms for sustainable energy systems and dynamic systems in aviation. 🔋🔧🚀

Conclusion:

Dr. Idriss Dagal is an accomplished academic and researcher who combines his expertise in electrical and aerospace engineering with a deep commitment to renewable energy and technology optimization. His interdisciplinary work continues to contribute to advancements in energy systems, aircraft control, and smart technologies. 🌱💻

Publications 

Energy transfer from PV panel to Battery via Buck-Boost Converter, International Journal of Technology and Science, Vol. 5, Issue 3, pp. 46-60, 26 November 2019. DOI

Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems, International Journal of Energy Research, 2022; 1-18. DOI: 10.1002/er.7753. Impact Factor: 4.3, Q1.

MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization (PSOSSO) algorithm for battery charging through Simulink, Scientific Reports Journal, 2022; 12:2664. DOI. Impact Factor: 3.8, Q1.

A Novel Hybrid Series Salp Particle Swarm Optimization (SSPSO) for Standalone Battery Charging Applications, Ain Shams Engineering Journal, 2022; 13:10174. DOI. Impact Factor: 6, Q1.

Improved Particle Swarm Optimization based Buck-Boost converter (IPSOBBC) for Photovoltaic System Application, Recent Advances in Science & Engineering (RASE), 2022.

Transformer rail-tapped buck-boost converter design-based feedback controller for battery charging systems, Energy Storage Journal, 2022; e414, DOI. ESCI.

Secure and Optimized Satellite Image Sharing based on Chaotic eπ Map and Racah Moments” Expert Systems with Applications, Volume 236, February 2024, 121247, DOI: 10.1016/j.eswa.2023.121247. Impact Factor: 7.5, Q1.

Hybrid SSA-PSO-based intelligent direct sliding-mode control for extracting maximum photovoltaic output power and regulating the DC-bus voltage, International Journal of Hydrogen Energy, Volume 51, Part C, 2 January 2024, Pages 348-370, DOI. Impact Factor: 8.1, Q1.

An Improved Constant Current Step-based Grey Wolf Optimization Algorithm for Photovoltaic Systems, Journal of Intelligent & Fuzzy Systems, 2024, DOI. Impact Factor: 1.7, Q3.

A Modified Multi-Stepped Constant Current Based on Grey Wolf Algorithm for Photovoltaics Applications, Springer, Electrical Engineering, 2024, DOI. Impact Factor: 1.6, Q3.

Jian Sun | Smart Grid Control | Best Researcher Award

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Assoc. Prof. Dr. Jian Sun | Smart Grid Control | Best Researcher Award

Associate Professor, Southwest University, China

Jian Sun is an Associate Professor in the School of Electronic and Information Engineering at Southwest University, Chongqing, China. With a strong academic and research background in automation and electrical engineering, his work focuses on control systems, reinforcement learning, and grid frequency regulation. Over the years, he has made significant contributions to the field through his publications and innovative approaches to tackling complex power grid challenges. 📚🔬

Publication Profile

ORCID

Education

Jian Sun earned his Ph.D. in Automation from Chongqing University in December 2014. He also completed a visiting Ph.D. program at the University of Wisconsin-Madison, USA, in 2014, specializing in Electrical and Computer Engineering. Prior to his doctoral studies, he obtained a Master’s degree in Automation and a Bachelor’s degree in the same field from Chongqing University. 🎓🌍

Experience

Jian Sun has extensive academic and research experience, currently serving as an Associate Professor at Southwest University. His expertise spans areas like frequency regulation in power systems, energy storage systems, and adaptive control techniques. He has published numerous papers in prestigious journals and has contributed to several interdisciplinary research projects. His work often combines advanced reinforcement learning techniques with cyber-physical systems. 💼🔧

Awards and Honors

Throughout his career, Jian Sun has received recognition for his outstanding research and contributions to the field. His work has been widely cited and appreciated by both academic and industry professionals. He continues to push the boundaries of research in smart grids, energy management, and reinforcement learning. 🏆📈

Research Focus

Jian Sun’s research focuses on developing adaptive and resilient control strategies for smart grids, particularly in the context of frequency regulation. His work includes the integration of Vehicle-to-Grid (V2G) technologies, reinforcement learning for DoS attack resilience, and advanced control systems for energy-efficient power grids. He aims to improve the stability and security of power systems in the face of cyber threats and dynamic load conditions. ⚡🧠

Conclusion

Jian Sun’s academic journey and research have contributed to advancements in smart grid technology, power system regulation, and control theory. His continued dedication to addressing critical challenges in energy systems positions him as a leading figure in his field. His research aims to make power systems smarter, more efficient, and resilient to emerging threats. 🌐🔋

Publications 

Load Forecasting for Commercial Buildings Using BiLSTM–Transformer Network and Cyber–Physical Cognitive Control Systems
Published Year: 2024
Journal: Symmetry
Cited by: Crossref

An Adaptive V2G Capacity-Based Frequency Regulation Scheme With Integral Reinforcement Learning Against DoS Attacks
Published Year: 2024
Journal: IEEE Transactions on Smart Grid
Cited by: Crossref

Cooperative Grid Frequency Control Under Asymmetric V2G Capacity via Switched Integral Reinforcement Learning
Published Year: 2024
Journal: International Journal of Electrical Power & Energy Systems
Cited by: Crossref

Resilient Frequency Regulation for DoS Attack Intensity Adaptation via Predictive Reinforcement V2G Control Learning
Published Year: 2024
Journal: IEEE Transactions on Smart Grid
Cited by: Crossref

Safe Online Integral Reinforcement Learning for Control Systems via Controller Decomposition
Published Year: 2023
Journal: Arabian Journal for Science and Engineering
Cited by: Crossref

A DoS Attack-Resilient Grid Frequency Regulation Scheme via Adaptive V2G Capacity-Based Integral Sliding Mode Control
Published Year: 2023
Journal: IEEE Transactions on Smart Grid
Cited by: Crossref

A DoS Attack Intensity-Aware Adaptive Critic Design of Frequency Regulation for EV-Integrated Power Grids
Published Year: 2023
Journal: International Journal of Electrical Power & Energy Systems
Cited by: Crossref

Structural Scheduling of Transient Control Under Energy Storage Systems by Sparse-Promoting Reinforcement Learning
Published Year: 2022
Journal: IEEE Transactions on Industrial Informatics
Cited by: Crossref

A Sparse Neural Network-Based Control Structure Optimization Game under DoS Attacks for DES Frequency Regulation of Power Grid
Published Year: 2019
Journal: Applied Sciences
Cited by: Crossref

A Stable Distributed Neural Controller for Physically Coupled Networked Discrete-Time System via Online Reinforcement Learning
Published Year: 2018
Journal: Complexity
Cited by: Crossref

Frequency Regulation of Power Systems with Self-Triggered Control under the Consideration of Communication Costs
Published Year: 2017
Journal: Applied Sciences
Cited by: Crossref

 

Sisil Kumarawadu | Energy systems applications | Excellence in Innovation

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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