DR. S M KAYSER AZAM
Department of Electrical Engineering
Faculty of Engineering
kayserum.edu.my| View CV | |
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| Biography | |
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Dr. S. M. Kayser Azam (Member, IEEE) was born in Pabna, Bangladesh. He received the B.Sc. degree in electrical and electronic engineering from the Khulna University of Engineering and Technology, Khulna, Bangladesh, in 2013, and the M.Sc. research degree in electronics engineering from the International Islamic University Malaysia, Kuala Lumpur, Malaysia, in 2019. With a prestigious Malaysian International Scholarship awarded by the Malaysian Ministry of Higher Education, he achieved the Ph.D. degree in the Department of Electrical Engineering at Universiti Malaya, Kuala Lumpur, Malaysia, in 2024. He is currently working as academic staff in the Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia. He has experience working as a Telecommunication Power Engineer at Huawei Technologies Ltd., Dhaka, Bangladesh. His research interests include applied electromagnetics, antenna sensors, RFID, integrated sensing and communication, AI-driven sensing, partial discharge diagnosis, microwave components, RF electronics, etc. His research earned competitive research grants, including international funds. He has authored or coauthored many articles in top-tier journals and at reputable international conferences. Some of his research works have been recognized with best paper awards. He has served as a reviewer for the IEEE Transactions on Antennas and Propagation, IEEE Transactions on Consumer Electronics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Circuits and Systems II: Express Briefs, IEEE Internet of Things Journal, IEEE Transactions on Electromagnetic Compatibility, IEEE Access, and Elsevier's Measurement. He is a member of the Institution of Engineering and Technology (IET), U.K. |
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| Project Title | Progress | Status |
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| V2I-UHF Antenna Sensor for Real-Time Risk Alerts in Metro Rail Power Substations |
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| Big Data-Enabled Tag-Sensor System for Smart Electrical Safety and Asset Management in Power Plants |
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| This information is generated from Research Grant Management System | ||
Interference-compensated optimization of UHF partial discharge localization for open environment
A comprehensive review of noise-cancellation antenna sensors in ultra-high frequency: techniques, challenges, and future directions
A comprehensive review of noise-cancellation antenna sensors in ultra-high frequency: techniques, challenges, and future directions
Interference-compensated optimization of UHF partial discharge localization for open environment
