Prof. Ir. Ts. Dr. Muzammil Bin Jusoh

AI-Enabled Reconfigurable Smart Antennas for Next-Generation RADAR Systems

Artificial intelligence (AI) is increasingly being integrated with advanced antenna technologies to enhance the sensing, adaptability, and decision-making capabilities of next-generation RADAR systems. This work presents an AI-enabled smart antenna framework that combines reconfigurable radiation patterns, multi-mode beam control, and data-driven inference for intelligent target localization and adaptive beam selection.

The proposed antenna employs electronically controllable radiation modes directed toward −50°, 0°, and +50°, enabling spatial diversity without requiring a conventional fully populated phased-array architecture. Received signal strength and mode-dependent antenna responses are utilized as spatial features for AI-based estimation of target direction, angular region, and relative distance. A convolutional neural network is employed to learn the nonlinear relationship between the received multi-mode signal characteristics and the corresponding target location parameters.

The proposed framework establishes a closed-loop sensing architecture in which antenna reconfiguration and AI-based interpretation operate cooperatively to improve spatial awareness and support autonomous beam selection. The system is experimentally evaluated using controlled angular and distance measurements to assess antenna radiation characteristics, directional discrimination, localization performance, and AI prediction capability.

The proposed approach offers a low-complexity pathway toward intelligent and adaptive RADAR front ends, particularly for applications requiring compact hardware, dynamic beam steering, target localization, and autonomous sensing. The study demonstrates the potential of integrating reconfigurable smart antennas with AI-assisted signal interpretation as an enabling technology for future cognitive RADAR, autonomous sensing, surveillance, and intelligent wireless sensing platforms.

• Artificial Intelligence
• Smart Antennas
• RADAR Systems
• Target Localization

Biography

Prof. Ir. Ts. Dr. Muzammil Bin Jusoh is a Research Fellow at the Advanced Communication Engineering (ACE) Centre of Excellence at Universiti Malaysia Perlis (UniMAP), where he is Professor of Antennas & Applied Electromagnetics in the Faculty of Electronic Engineering Technology. From 2006 to 2009, he worked as an RF and Microwave Engineer at Telekom Malaysia Berhad.

He received his bachelor's degree in electrical-electronic and telecommunication engineering in 2006 and his M.Sc. in electronic telecommunication engineering in 2010 from Universiti Teknologi Malaysia (UTM). He earned his Ph.D. in communication engineering in 2013.

With a Scopus h-index of 29, he has secured more than USD 600,000 in research funding from the Ministry of Higher Education Malaysia, industry grants, and MOSTI as a principal or co-researcher. He has published over 280 journal and proceedings articles, including work in IEEE Access, Sensors, Materials, IEEE Antennas and Wireless Propagation Letters, Microwave and Optical Technology Letters, the International Journal of Antennas and Propagation, and Progress in Electromagnetics Research, as well as more than 150 conference papers.

His research interests include antenna design, reconfigurable beam-steering antennas, RADAR systems, MIMO, and wireless communications. He has served as an executive member of the IEEE Malaysia AP/MTT/EMC Joint Chapter since 2023. He is also a member of the RF-EMF Sub-working Group under Malaysia's Ministry of Health and the Malaysian Communications and Multimedia Commission (MCMC), and Vice Chair II of a sub-working group under the Malaysian Technical Standards Forum Berhad–MCMC.