Ismail Musirin | Power System | Best Researcher Award
Professor, Universiti Teknologi MARA, Malaysia, Malaysia.
Professor Ir. Dr. Ismail Musirin is a distinguished academic in the field of electrical engineering, specializing in power systems. He currently serves as a Professor at the School of Electrical Engineering, Universiti Teknologi MARA, Malaysia, where he leads the Power System Operation Computational Intelligence Research Group. With a robust educational background, including a PhD from Universiti Teknologi MARA, he has made significant contributions to the field through 283 publications and has an impressive citation count of 4,994. His research interests encompass power system optimization, artificial intelligence applications, and sustainable energy solutions. Dr. Musirin has been actively involved in mentoring, having supervised numerous postgraduate students, and he plays a crucial role in evaluating research grants and academic programs. With multiple keynote speeches and leadership roles in international conferences, he is recognized for his innovative approaches and commitment to advancing power systems research and education.
Profile:
Education
Professor Ir. Dr. Ismail Musirin holds a distinguished academic background in electrical engineering, beginning with a Diploma in Electrical Power Engineering from Universiti Teknologi Malaysia in 1987. He furthered his studies, earning a Bachelorβs degree in Electrical Engineering with Second Class (Upper Division) honors in 1990. His pursuit of advanced knowledge continued with a Masterβs in Pulsed Power Technology from the University of Strathclyde, Glasgow, in 1992, culminating in a PhD in Electrical Engineering from Universiti Teknologi MARA in 2005. Notably, he was the first PhD graduate of the Faculty of Electrical Engineering at UiTM, showcasing his commitment to academic excellence.
Professional Experience
Dr. Musirin’s extensive experience spans both academic and research leadership roles. As a Professor of Power Systems at the School of Electrical Engineering, he heads the Power System Operation Computational Intelligence Research Group. He has contributed to over 283 journals, guided numerous graduate students, and actively participated in evaluating research grants and academic programs, demonstrating his commitment to advancing the field of electrical engineering.
Professor Ir. Dr. Ismail Musirin possesses extensive research skills in power systems, electrical engineering, and computational intelligence. His expertise includes advanced modeling techniques, optimization algorithms, and the integration of renewable energy sources. He has a proven track record in conducting innovative research, evidenced by his substantial publication record, including journal articles and conference papers. His proficiency in utilizing machine learning and artificial intelligence in energy applications further enhances his research capabilities, allowing him to address complex challenges in the field.
Award and Recognition
Throughout his distinguished career, Professor Musirin has received numerous awards and honors recognizing his contributions to electrical engineering and power systems research. Notably, he has been recognized as an influential figure in the academic community, having chaired multiple international conferences and evaluated various research grants. His achievements also include supervising and mentoring graduate students, thereby shaping the next generation of engineers and researchers in his field.
In conclusion, Professor Ir. Dr. Ismail Musirin is a highly suitable candidate for the Best Researcher Award due to his significant contributions to electrical engineering, his leadership in academic initiatives, and his commitment to education and research development. His achievements underscore his dedication to advancing knowledge in power systems, making him an exemplary choice for recognition in this category.
Publication Top Notes
- Agricultural Crop Recommendations Based on Productivity and Season
Authors: Kumar, A.V.S., Aparna, M., Dutta, A., Malladi, R., Dulhare, U.N.
Year: 2024
Citations: 0 πΎπ - Implementation of HEBMO in Solving Convex Economic Dispatch Problems
Authors: Ismail, N.L., Musirin, I., Dahlan, N.Y., Mansor, M.H., Senthilkumar, A.V.
Year: 2024
Citations: 0 β‘οΈπ - Rainfall Prediction Using Machine Learning
Authors: Kumar, A.V.S., Roshan, S.A., Dutta, A., Musirin, I.B., Kaur, G.
Year: 2024
Citations: 1 βοΈπ€ - Optimal Distributed Generation for Loss Minimization Using Sand Cat Swarm Optimization
Authors: Adnan, A.A.S.M., Hussain, M.H., Rahim, S.R.A., Hashim, N., Radziyan, J.A.
Year: 2024
Citations: 0 ππ - Blockchain Technology in Disaster Rescue Wings
Authors: Mukesh Kumar, D., Kumar, A.V.S., Irawati, I.D., Chaya, S., Arya, N.
Year: 2024
Citations: 0 βοΈπ - Smart Healthcare System, Digital Health and Telemedicine, Management and Emergencies: Patient Emergency Application (PES) E-Governance Applications
Authors: Mancy, A.M., Kumar, A.V.S., Latip, R., Sharma, M., Kanchan, B.G.
Year: 2024
Citations: 10 π₯π» - Big Data in Real Time to Detect Anomalies
Authors: Abinaya, N., Kumar, A.V.S., Chaturvedi, A., Malladi, R., Arya, N.
Year: 2024
Citations: 2 ππ - Solving Combined Economic Emission Dispatch Problems Using Multi-objective Hybrid Evolutionary-Barnacles Mating Optimization
Authors: Ismail, N.L., Musirin, I., Dahlan, N.Y., Mansor, M.H., Senthil Kumar, A.V.
Year: 2024
Citations: 0 β‘οΈπ - Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations
Authors: Abdullah, A., Musirin, I., Othman, M.M., Shaaya, S.A., Senthil Kumar, A.V.
Year: 2024
Citations: 0 βοΈπ - A Hybrid Multi-objective Integrated JAYA-Evolutionary Programming (MOIJEP) Algorithm for Under Voltage Load Shedding (UVLS) Scheme in Bulk Power System
Authors: Shukor, S.F.A., Musirin, I., Hamid, Z.A., Mansor, M.H., Salimin, R.H.
Year: 2024
Citations: 0 πβοΈ