Program Details
| AP Technical Meeting Series 5/2025 | |
| Date | 11 November 2025 (Tuesday) 9.30 am – 3.30 pm |
| Topics | Wireless Communication Systems |
| Place | Hybrid Physical: IDEAS Lab, Faculty of Artificial Intelligence and Engineering (FAIE), Multimedia University Online: Google Meet Platform |
| Sponsors | IEEE Malaysia AP/MTT/EMC Joint Chapter |
| Co-Organizer | 1. Centre for Wireless Technology (CWT) and Center for Fiber Networking and Communications (CFNC), Multimedia University 2. Faculty of Artificial Intelligence and Engineering (FAIE), Multimedia University 3. IEEE MTT/AP-S Joint Chapter Indonesia Section |
| Registration | If you wish to join the AP Technical Meeting Series held online/hybrid style, please register HERE, to get the meeting links and details. |
| 8:30am | Arrival of the participants |
| 9:00 am | Breakfast (Coffee/Tea Break) |
| 9:30 am | Opening remarks/Picture |
| 9:45 am | Distinguished Lecture Program (DLP) DLP Speaker:  Prof. Dr. Ichige Koichi (Yokohama National University, Japan) Title: Machine Learning Applications in Digital Sensing and Wireless Communications Abstract: In this talk, two recent results on the application of machine learning are introduced. The first is millimeter-wave (MM-wave) radar-based digital sensing for advanced driver-assistance system applications, such as detecting objects around vehicles and identifying adults or infants inside vehicles. These targets can be clearly detected and/or classified from the radar-received signals using machine learning. The second result is electromagnetic-wave (EM-wave) propagation estimation for next generation wireless communications. By using actual city maps and propagation parameters, EM-wave propagation loss can be accurately estimated through learning-based methods. Furthermore, a virtual 3D city model can be created and used in machine learning to augment the training datasets. |
| 11:00 am |  Plenary Speaker 1: Prof. Ts. Dr. Mardeni Bin Roslee FASc (Multimedia University, Malaysia) Title: AI in Agriculture: Why and How? Abstract: Artificial intelligence (AI) is a branch of computer science that creates systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and perception. In this talk, it will focus on Smart AI agriculture, or smart farming which uses Artificial Intelligence and related technologies like IoT sensors and Unmanned Aerial Vehicle (UAV) to optimize farming processes for increased efficiency, sustainability, and higher yields. Smart agriculture is important because it uses technology to improve efficiency, sustainability, and profitability in farming. Key benefits include making data-driven decisions, optimizing resource, increasing crop yields, and reducing labor costs through automation. This approach helps meet the demands of a growing population while minimizing environmental impact. |
| 11:45 am |  Plenary Speaker 2: Assoc. Prof. Dr. Syah Alam (Universitas Trisakti, Jakarta, Indonesia) Title: Integrated Microwave Sensor with Antenna for Material Characterization and Data Transfer Capabilities Abstract: The integration of microwave sensors with antenna structures presents a promising approach for simultaneous material characterization and wireless data transfer. This work proposes an integrated microwave sensor design that combines microwave sensor with a microstrip antenna to achieve dual functionality in a compact configuration. The resonant frequency shift of the sensor is used to determine the dielectric properties of various material samples, while the antenna enables real-time transmission of sensing data without the need for wired connections. The proposed design operates within the 1–3 GHz frequency range, providing high sensitivity to permittivity variations while maintaining efficient radiation characteristics for data communication. Simulation and experimental validation demonstrate that the integrated system effectively correlates the sensor’s frequency response with the material’s dielectric constant and simultaneously supports reliable wireless data transfer. This integration enhances the practicality of microwave sensing systems, paving the way for applications in smart material monitoring, industrial automation, and Internet of Things (IoT)-based sensing platforms. |
| 12:30 pm | Lunch Break and Zuhr Prayer |
| 2:00 pm | Speaker 1: Mr. Mohammed Yousif Zeain (Universiti Teknikal Malaysia Melaka, Malaysia) Title: Optimizing Helical Antenna Gain with Artificial Intelligence AI: A Paradigm Shift for Next-Generation 5G/6G Communication Abstract: A wideband, circularly polarized strip-helical antenna, designed on a fast-film substrate, is proposed. This work introduces a novel AI-driven gain enhancement method utilizing the Grey Wolf Optimizer (GWO) to optimize its performance. The proposed antenna is optimized across 5G and 6G frequency bands from 4.67 GHz to 7.5 GHz. Initially, the proposed antenna achieved a gain of 13.4 dBi at 5.6 GHz; through GWO optimization, a significantly enhanced maximum realized gain of 16.23 dBi was achieved at 7.17 GHz, with an impressive efficiency of 97%. The GWO algorithm efficiently explored the antenna’s complex design space, identifying optimal values for key parameters such as the number of turns, helix pitch, and helix diameter to achieve this substantial gain enhancement. This study marks a pioneering application of GWO for direct gain optimization of helical antennas, making the design highly suitable for high-performance, wideband wireless communication systems in 5G and emerging 6G environments. This research underscores the transformative potential of AI-driven optimization techniques in advancing high-performance antenna design, contributing to a paradigm shift for next-generation wireless communication. |
| 2:15 pm |  Speaker 2: Ms. Fitri Kurnia Sari, ST, MT (Universitas Trisakti, Jakarta, Indonesia) Title: Design of a Single-Port Microwave Sensor with a Combination of an Electric Field Coupled (ELC) Resonator and an Interdigital Capacitor (IDC) for Characterizing Solid and Vegetable Materials Abstract: This work presents the design and analysis of a single-port microwave sensor that combines an Electric Field Coupled (ELC) resonator with an Interdigital Capacitor (IDC) structure for the characterization of solid and vegetable materials. The proposed hybrid configuration enhances electric field confinement around the sensing region, resulting in improved sensitivity to variations in dielectric properties. Operating within the 1–2 GHz frequency range, the sensor utilizes the resonant frequency shift and magnitude variation of the reflection coefficient (|S₁₁|) as indicators of the material’s permittivity and loss characteristics. The integration of the ELC resonator provides strong field coupling, while the IDC structure offers fine-tuned capacitive loading, leading to a compact and high-performance sensing platform. Simulated and experimental results demonstrate that the sensor effectively distinguishes between different solid and biological materials based on their dielectric constants. The proposed design offers a simple, low-cost, and efficient approach for nondestructive testing and quality assessment in agricultural, food processing, and material science applications. |
| 2:30 pm |  Invited Speaker 1: Dr. Farman Ali (Multimedia University, Malaysia) Title: Future Directions for 6G UAV-to-Ground and Maritime Networks: Holographic MIMO and Distributed ISAC Abstract: This talk outlines an end-to-end 6G architecture that upgrades RIS-based relays to holographic MIMO using continuous apertures for near-field wavefront control and joint sensing-communication. We present channel and blockage models for UAV-to-ground and UAV-to-ship links, including LoS probability in maritime clutter, sea-surface reflections, and platform motion. On the algorithmic side, we discuss phase-profile synthesis for CAPA arrays, near-field beam focusing, and learning-aided beam management with Bayesian tracking. A distributed ISAC framework is then proposed where UAVs and surface nodes cooperate for target detection and localization using shared pilots and compressed measurements, with resource allocation that trades data rate, sensing SNR, and energy per bit. SDR and optical testbed results illustrate coverage extension, spectral efficiency gains, and sub-meter localization RMSE. The talk closes with open problems in calibration, synchronization, semantic reporting, and scalable deployment in GNSS-challenged maritime environments. |
| 2:45 pm | Invited Speaker 2: Dr. Norsiha Zainudin (Universiti Teknologi Malaysia) Title: Evaluating SAR Distribution of an Ingestible NMHA in Stomach Tissue across MICS and ISM Bands Abstract: This research presents the Specific Absorption Rate (SAR) analysis of a Normal-Mode Helical Antenna (NMHA) implanted in human stomach tissue at 402 MHz (MICS) and 2.45 GHz (ISM). While NMHAs are widely studied for in-body communication, their SAR performance remains underexplored. Using identical antenna geometry, SAR1g and SAR10g are simulated and compared. Results show that to comply with the IEEE SAR1g limit of 1.6 W/kg, the maximum input power is 15.5dBm at 402 MHz and 7.3 dBm at 2.45 GHz. For SAR10g, the input power must remain below 19 dBm and 10.5 dBm, respectively, to meet the ICNIRP 2 W/kg guideline. These findings offer practical input power thresholds and emphasize the frequency-dependent safety considerations for ingestible medical antennas. |
| 3:00 pm | Closing Remarks/Picture |
| 3:15 pm | End |