NGUYEN QUOC MINH - Renewable Energy - Best Researcher Award

Hanoi University of Science and Technology - Vietnam

EDUCATION AND RESEARCH INTERESTS

Nguyen Quoc Minh earned a PhD in Electrical Engineering from The University of Texas at Arlington in 2016. Prior to this, he completed an MSc in Electrical Engineering at Hanoi University of Science and Technology in 2009 and a Bachelor's degree at the same institution in 2007. His research interests encompass power system protection and control, integration of renewable energy into power systems, data science applications in smart grids, and wireless power transmission.

PROFESSIONAL EXPERIENCE AND CONTRIBUTIONS

Nguyen Quoc Minh has made significant contributions to the field of electrical engineering through his research and publications. He has authored numerous papers on topics such as microgrid planning, electricity load forecasting, PV array fault classification, and wireless power transfer systems. His work has been published in prestigious journals and presented at international conferences, reflecting his expertise and influence in the field.

SELECTED PUBLICATIONS

Nguyen Quoc Minh has published several influential papers, including "A Bi-level Optimization for the Planning of Microgrid with the Integration of Hydrogen Energy Storage" in the International Journal of Hydrogen Energy (2024), and "Short-term Electricity Load Forecasting of Hanoi City based on Prophet Model" presented at the 2023 Asia Meeting on Environment and Electrical Engineering. His research on PV array fault classification and machine learning was showcased at the 11th International Conference on Control, Automation and Information Sciences in 2022.

AWARDS AND RECOGNITION

Throughout his career, Nguyen Quoc Minh has been recognized for his contributions to electrical engineering and renewable energy research. His work on wireless power transfer systems, including studies on frequency modes in MIMO systems and field distribution models of spiral coils, has garnered attention and acclaim in both academic and professional circles.

ONGOING RESEARCH AND FUTURE DIRECTIONS

Currently, Nguyen Quoc Minh is focused on advancing his research in power systems and renewable energy integration. His ongoing projects explore innovative solutions to enhance the efficiency and reliability of electrical grids, leveraging cutting-edge technologies and data science applications to address contemporary challenges in the field.

PERSONAL AND PROFESSIONAL IMPACT

Nguyen Quoc Minh's work continues to influence the development of smart grid technologies and renewable energy systems. His dedication to research and education, combined with his extensive publication record, underscores his commitment to advancing the field of electrical engineering and contributing to sustainable energy solutions for the future.

NOTABLE PUBLICATION

CONTRIBUTIONS AND RESEARCH FOCUS:

Dr. Acharya's academic achievements include a Master's in Technology (PEED) from JNTUK, Kakinada, where he graduated with First Class with distinction in December 2013. His dedication to research culminated in a Ph.D. from Annamalai University in August 2022. Furthermore, he has recently commenced a Post-Doctoral Fellowship at Srinivas University, Karnataka, showcasing his enduring commitment to scholarly pursuits.

IMPACT AND INFLUENCE:

With almost a decade of teaching experience, Dr. Acharya has become a pivotal figure in the academic realm. His role as a Ratified Assistant Professor from JNTUK, Kakinada, starting from April 7, 2022, signifies his recognized expertise. As the Departmental PG Coordinator, Internship Coordinator, and Criteria In-Charge, he has played a crucial role in the department's administration and academic processes.

LEGACY AND FUTURE CONTRIBUTIONS:

Dr. SRINIVASA ACHARYA's legacy is one of dedication to academia and continuous learning. His ongoing Post-Doctoral Fellowship and diverse responsibilities within the institution indicate a commitment to both personal and institutional growth. As he continues to guide academic projects and serve in administrative capacities, his future contributions are anticipated to further enhance the academic environment.

Optimization of cost and emission for dynamic load dispatch problem with hybrid renewable energy sources. 2023 (1) Modeling combined economic emission dispatch for renewable energy system via Levy-based glowworm swarm optimization. 2023 (1) A multi-objective multi-verse optimization algorithm for dynamic load dispatch problems. 2021 (21) A hybridized approach for design and optimization of combined economic emission dispatch. 2021 (2)