Potential Postgraduate Supervisors
| No. | SV Name | Contact - Email | Titles |
| 1. | Dr. Noor Azizi Bin Mardi | 1. Mechatronics (mechanical & electronics): Mechanism design or motion synthesis of a long rod holder (Design, simulation and/or prototype work) 2. Development of controller for 6DOF robotic arm with visual feedback (Design/ integration/ prototype) |
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| 2. | Mrs. Nurulhuda Binti Ismail | 1. Channel State Information (CSI) Estimation for 5G massive MIMO system 2. Evaluation of Machine Learning Techniques for Health Prediction |
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| 3. | Dr. Roziah Binti Aziz | 1. Permanent Magnet machine design and anaylsis for Electric Vehicle (EV) applications 2. System development on Energy management and Efficiency 3. Solar Powered UV Light Pest Management for Sustainable Agriculture |
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| 4. | Dr. Shamsul Bin Mohamad | 1. Crowd Simulation in Virtual Reality: Enhancing Immersive Environments for Training and Analysis 2. Integrating Deep Learning for Improved Decision-Making in Multi-Agent Crowd Simulations |
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| 5. | Dr. Abul Khair Bin Anuar | 1. Comprehensive survey of Sungai Batu Pahat and its tributaries flow for flood mitigation. 2. Prediction of surface charging at lunar terminator environment for future space exploration. 3. surface and internal charging of micro satellite during severe space weather. |
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| 6. | Dr. Intan Sue Liana Binti Abdul Hamid | 1. Smart Materials for Smart Health: Fabrication and Characterization of Ag-NP/PDMS Nanocomposites for Wearable Biosensors 2. Thermoelectric and Mechanical Performance of PEI-Doped SWCNT Films Under Repeated Bending for Wearable Applications |
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| 7. | Dr. Mahyuzie Bin Jenal | 1. Characteristic Analysis of a New 6-Phase Direct Drive Flux Reversal Motor for Electric Vehicle. 2. Nonlinear Performances Of Three-Phase Flux Reversal Motor Employing Modular Rotor For Multi Speed Air Blower |
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| 8. | Dr. Mohamad Hairol Bin Jabbar | Energy efficient embedded AI architecture on FPGA SoC | |
| 9. | Dr. Norshidah Binti Katiran | Joint Access Point Clustering and Power Allocation Strategy in 6G Cell-Free Massive MIMO System In this research, we focus on three principle objectives in order achieve notable energy-efficient 6G cell-free massive MIMO system. The first objective is to develop a novel dynamic serving clustering scheme for JT in cell-free massive MIMO system. The second objective is to formulate a joint optimization approach of the dynamic serving clustering and power allocation which maximizes the energy efficiency in the downlink transmission. The final objective is to carry out a comprehensive performance evaluation of the proposed transmission design. | |
| 10. | Dr. Rahmat Bin Sanudin | Investigation of Subspace-based Direction-of-arrival (DOA) Estimation Algorithm for Directional Antenna Arrays | |
| 11. | Dr. Suhaila Binti Sari | Durian Tree Type Identification based on Durian Leaves using Deep Learning. | |
| 12. | Dr. Tasiransurini Binti Ab Rahman | Contracting-Expanding Single Solution Optimization for Global Numerical Optimization | |
| 13. | Dr. Chew Chang Choon | 1. Development of an Advanced Mobile Phone Detection System for Examination Halls 2. Design of an Active Knee Assistance Device to Improve Stability During Knee Buckling Events in Seniors 3. An IoT-Based Wheelchair Lifting System with Height Adjustment and Side Transfer Capabilities for Automotive Access 4. Modular LoRaWAN IoT Weather Stations for Specific Application 5. Analysis and Mitigation of DDoS Attacks in Cloud Computing Environments / Implementation of a Secure IoT Communication Protocol using Blockchain / Evaluating the Effectiveness of Intrusion Detection Systems using Machine Learning / Developing Secure Authentication Mechanisms for Wireless Sensor Networks |
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| 14. | Dr. Roshayati Binti Yahya @ Atan | Studies / research on antenna design (including textile or flexible antenna), Specific Absorption Rate (SAR) and EMF which simply called as radiation. | |
| 15. | Dr. Saizalmursidi Bin Md Mustam | 1. Multilayer Diffusion-Based Molecular Communication with Improved Channel Modeling (Mathematical Modeling, Analytical Formulation, and Numerical Simulation using MATLAB) 2. Automatic Malaysian Number Plate Recognition System Implementation Using a CNN-Based SSD-ED Model (Develop Prototype, and Test the Developed Phyton Code) |
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| 16. | Dr. Nordiana Azlin Binti Othman | Investigation of Insulation Coating Materials for Mitigating Electrical Breakdown in High-Voltage Electrode Systems | |
| 17. | Dr. Nurfarina Binti Zainal | 1. Electronics : Development of an IoT-enabled wireless charging system for Electric Vehicles (design, simulation, prototype & testing), 2. Microelectronics: Fabrication and Characterisation of a supercapacitor via precipitation technique using carbon-based materials for enhanced energy storage in Electric Vehicle (EV) applications. (design, simulation, prototype & testing) 3. Development of an IoT-Based Wearable Sensor System for Fall Detection in the Elderly |
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| 18. | Dr. Munirah Binti Ab. Rahman | 1. Deep Learning Modeling on FPGA 2. Microprocessor Design for Educational Purposes 3. Design and Development of Salted Fish Dryer for Small and Medium Sized Enterprises |
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| 19. | Assoc. Prof. Dr. Nabihah @ Nornabihah Binti Ahmad | 1. Energy-Efficient CNN Accelerator on FPGA for Wearable Heart Monitoring Devices 2. Vehicle Detection and Classification on Low-Power FPGA-Based Edge AI Systems 3. Low-Power ASIC Design of a CNN-Based ECG Classification Engine for Wearable Cardiac Monitoring 4. Energy-Efficient ASIC Implementation of AES for Secure Edge Computing in AI Systems 5. Low-Power ASIC Design of a Lightweight Cryptographic Engine for IoT device |
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| 20. | Assoc. Prof. Ir. Dr. Abd Kadir Bin Mahamad | 1. Wildfire burn detection using deep learning. 2. Flood detection using deep learning 3. Traffic Management & Routing Solution CCTV with Analytical Tool |
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| 21. | Assoc. Prof. Dr. Nor Surayahani Suriani | 1. Image/Video Processing/ Disease Detection and classification using Deep Learning for medical or agricultural applications 2. Non-invasive method for agricultural/medical applications 3. Generative AI applications |
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| 22. | Dr. Hisyam Bin Abdul Rahman | 1. Precision Rehabilitation using custom upper limb assessment device coupled with artificial intelligence algorrithm 2. Safe and rescue (SAR) Autonomous Mobile Robot |
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| 23. | Assoc. Prof. Dr. Jamaludin Bin Jalani | 1. DEVELOPMENT OF PROSTHETHIC HAND/LEG 2. DEVELOPMENT OF EXOSKELETON HAND FOR REHABILITATION | |
| 24. | Ts. Sharifah Binti Saon | 1. Multimodal Signal Fusion for Remote Health Monitoring 2. Deep Learning-Based Signal Denoising for Environmental Sensors 3. Interpretation of Bahasa Isyarat Malaysia (BIM) with ML |
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| 25. | Assoc. Prof. Ir. Dr. Siti Zarina Mohd Muji | 1. Development of Sucking Mechanism of Pumping Breast Machine by Additional Inflated Technique 2. SIGNATURE IDENTIFICATION THROUGH DEEP LEARNING: BUILDING AND ANALYZING A PROFILING DATASET FOR CAREER PATH OPPORTUNITY |
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| 26. | Assoc. Prof. Ir. Dr. Chia Kim Seng | 1. Applied Machine learning in Predicting Wastewater Parameters 2. Design and develop IoT systems for real-time controlling and monitoring applications |
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| 27. | Prof. Dr. Ramlee Kamarudin | 1. Antenna for Wireless Bridging System (2.4GHz and 5.0GHz) 2. Antenna for 6G |
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| 28. | Assoc. Prof. Dr. Chessda Uttraphan | 1. Signal/Image/Video processing on FPGA (Logic Design) 2. AI/Deep learning/Machine learning model on FPGA (Logic Design) 3. Microprocessor Design (Custom processor or RISC-V) 4. Logic design for various applications i.e. encryption, data communications, control etc. |
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| 29. | Assoc. Prof. Dr. Khairul Anuar Bin Mohamad | 1. Multi-Sensor Fusion for Early Detection of Cathodic Protection and Catastrophic Failure in Pipeline Infrastructures 2. Integration of Real-Time Monitoring and Predictive Analytics for Cathodic Protection Pipelines |
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| 30. | Mrs. Zarina Binti Tukiran | 1. Design and development of IoT systems for rapid pesticide detection 2. Detect lens defect using AI techniques |
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| 31. | Dr. Mohamed Najib Bin Ribuan | 1. Soft robotics manipulator for delicate objects. Summary: Delicate objects are easy to break and damage. Soft robotics made of rubber and/or polymer is perfect for manipulating such an object. Students will develop soft robotics manipulators with controllers able to manipulate and handle the objects for pick and place operation without damaging them. 2. Crop harvesting using soft robotic pickers. Summary: Crop harvesting needs special skill and labor intensive. Unskilled workers will spoil the crops and yield low productivity. Students will develop soft robotic pickers made from rubber and/or polymer for crop harvesting. A proper method to harvest crops like cucumber, chili, tomato, etc. is expected to be achieved by the soft robotic picker. 3. Autonomous fertigation farm crop harvesting with soft robotics. Summary: Large-scale fertigation farms can be as big as thousands of acres. Crop harvesting will be difficult, and implementation of robotics and automation is crucial. Students will develop an autonomous crop harvesting robot in fertigation farm employing soft robotics as manipulator. |
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| 32. | Assoc. Prof. Dr. Tay Kim Gaik | 1. Medical diseases/ plant diseases classification using machine learning/deep learning/ convolution neural network 2. Forecasting electricity consumption / load using machine learning/ deep learning |
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| 33. | Assoc. Prof. Ir. Dr. Dirman Hanafi | 1. Load Management in Solar Panel Power Plants Based on Fuzzy Logic Control 2. System Identification of A Quarter Car Model Using Fuzzy Logic Based On Real Test Data. 3. Control System Performance Comparison Between Mamdani and Sugeno Fuzzy Logic Inference System for Speed Control System |
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| 34. | Dr. Mohamad Nazib Bin Adon | 1. Non-invasive Blood Pressure Sensing via Machine Learning 2. Cuff-less for continuous Blood Pressure (BP) Estimation using machine learning (ML) and Photoplethysmography (PPG) signals. |
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| 35. | Dr. Nik Shahidah Afifi Md Taujuddin | 1. Plant Disease Detection using Deep Learning techniques. 2. Plant Mulnutrien Detection using machine learning/ CNN techniques 3. Image processing for agriculture application. |
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| 36. | Assoc. Prof. Dr. Rosli Omar | 1. Multi-UAV coordination with Deep Learning: The research project explores how deep learning can enhance multi-UAV coordination by enabling autonomous, efficient, and adaptive decision-making in dynamic environments. 2. Reinforcement Learning for UAV's real-time decision making: The research project investigates the use of reinforcement learning to enable UAVs to make real-time, autonomous decisions in complex and dynamic environments. |
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| 37. | Assoc. Prof. Dr. Lukman Hanif Bin Muhammad Audah | Title: Post-Quantum Cryptography (PQC) for Secure Communication in Resource-Constrained Environments Summary: This study proposes the development and evaluation of post-quantum cryptographic (PQC) algorithms suitable for resource-constrained environments of IoT systems. With the advent of quantum computing, many classical encryption schemes (e.g., RSA and ECC) are vulnerable to attacks. This study will explore lattice-based, code-based, and multivariate polynomial cryptographic schemes, focusing on optimizing these algorithms for energy efficiency, low computational overhead, and robust security. | |
| 38. | Assoc. Prof. Ir. Dr. Tee Kian Sek | 1. Mechatronic system and industrial automation 2. IoT - LoRa, LoRaWAN, GUI - applications 3. Healthcare system design and development for patient transfer and monitoring |
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| 39. | Prof. Dr. Nafarizal Bin Nayan | 1. Plasma processing for semiconductor industries. 2. Magnetron sputerring plasma for thin film deposition. 3. III-V semiconductor technology. |
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| 40. | Prof. Ts. Dr. Asmarashid Bin Ponniran | Research scope, 1. High voltage gain converter design for datacentre and EV: This study propose a Marx Topology with DC-DC Boost Converter to achieve an output high voltage gain and efficiency while minimizing conduction losses, voltage stress, and converter volume compared to conventional isolated converter topologies. 2. Battery regenerative techniques for restoring industrial batteries capacity: This study proposes a high current pulse method in restoring and improving the discharge capacity of industrial flooded lead-acid batteries by dissolving PbSO₄ accumulation on the plates 3. Redesign of Energy Storage System (ESS) as an alternative power source | |
| 41. | Assoc. Prof. Ir. Dr. Audrey Huong | 1. Deep learning in healthcare, 2. Healthcare innovation |
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| 42. | Assoc. Prof. Ts. Dr. Siti Amely Binti Jumaat | 1. Development of a Stand-Alone Power Generation System Based on Fuel Cell Technology Using Matlab/ Simulink 2.Design and Simulation of a Hybrid Power System (Hydrogen + PV + Fuel Cell) Using MATLAB/Simulink 3. Simulation Study on Hydrogen Compression and Storage for Future Mobility Systems |
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| 43. | Dr. Nan Md Sahar | 1. Deep Learning ( AI Expert System, Application ) currently on deepfake - Brain 2. Augmented Reality ( Tech and Application ) - Eyes 3. Non Solar Renewable Energy - Power 4. Human Factor analysis - Interaction |
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| 44. | Ts. Dr. Ahmad Fateh Bin Mohamad Nor | 1. PV Output Forecasting Using ANN with Weather-Based Input Parameters in MATLAB 2. ANN-Based Fault Detection and Classification in Grid-Connected PV Systems Using Simulated Operating Conditions 3. Modeling and Performance Analysis of Bifacial PV Panels under Various Ground Reflectivity Using MATLAB 4. Soiling and Temperature Impact Simulation on PV Performance Using MATLAB 5. Simulation of Cloud Cover Effects on PV Output Using Randomized Irradiance Profiles and ANN Prediction |
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| 45. | Dr. Radzi Bin Ambar | 1. Underwater robotics and applications: underwater vehicle-manipulator systems, manta-ray robot etc. 2. Field robotics and applications: elderly following robot, poultry feeding robot, voice controlled robot, STEM robotics, social robotics etc. 3. Sign Language Translator using hardware devices and mobile application: deep learning application, sensors and simulations. 4. Agriculture robotics: focusing on automated plant monitoring and harvesting robot based on 3D CNC Machine technology. several projects involving camera-based plant/pest detection using deep learning, gripper development for harvest, automated watering system, GUI etc. Very fun project!! 5. We can also further discuss your project based on your interests and strengths! |
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| 46. | Dr. Md Zarafi Bin Ahmad | 1. Design and analysis of a 36V/5Ah Lithium-Ion Battery Management System (BMS) Training Kit for Laboratories Practicum Application This project aims to design a practical BMS training kit targeted for use in laboratory, containing a 36V/5Ah lithium-ion Battery Management System. The training kit will simulate BMS functions with a series-parallel battery configuration and incorporate monitoring and safeguard measures of overvoltage and undervoltage protection, thermal protection, cell balancing, and controlled by a microcontroller. Data analyses along with other experimental parameters, will be gathered and monitored through a visual dashboard. 2. Smart Enhancement of Electric Scooter Performance and Safety Integration with 72V Li-ion Battery and 5kW DC Motor This project aims to enhance the performance, range, and safety of electric scooters by integrating a 72V lithium-ion battery system with a 5kW DC electric motor. Key innovations include the development of a custom Battery Management System (BMS) for thermal and fault protection, regenerative braking, and IoT-based real-time monitoring of speed, battery status, and motor temperature. |
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| 47. | Assoc. Prof. Dr. Nurmiza Binti Othman | 1. Medical Assistive Device Innovation 2. Magnetic Particle Imaging System for Breast Cancer Detection 3. Biosensors for Biomedical Applications 4. Development of Portable Device for Pulsed Eddy Current (PEC) System |
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| 48. | Assoc. Prof. Ts. Dr. Mohd Noor Abdullah | 1. Design and Optimization of a Hybrid Photovoltaic-Battery Energy Storage System for Enhanced Grid Support and Load Management in Tropical Climates. 2. Energy Management Strategies for Renewable Energy and Battery Storage Integration in Grid-Connected Systems. 3. Integrated Energy Management System for Renewable Energy, Battery Storage, and Electric Vehicle Charging in Smart Microgrids. |
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| 49. | Mr. Aizan Bin Ubin | 1. Sport Innovation using IoT Technology (Target Application can be discussed later - Performance Analytics) 2. Development of Geofence Application for Smart City/ Smart Campus |
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| 50. | Dr. Ain Nazari | 1. Deep Learning-Based Image Processing in Medical imaging / Agricultural applications | |
| 51. | Assoc. Prof. Ts. Dr. Nur Anida Binti Jumadi | 1. Non-invasive Diabetes Monitoring Device - Design and development of a non-invasive diabetes monitoring device - AI-assisted for diabetes prediction 2. Non-invasive Fetal ECG for Fetal Hypoxia and Arrhythmia Detection - Fundamental study on fetal hypoxia and arrhythmia detection using non-invasive fetal ECG signal 3. Design and Development of Abdominal Photoplethysmograph (PPG) System - Alternative method to detect the PPG signal on the abdomen site 4. Modeling and simulation of electrical impedance spectroscopy circuit for biochemical detection - Using MATLAB to model and simulate the electrical impedance spectroscopy circuit 5. Open for other suitable/relevant fields of study based on student's preference |
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| 52. | Dr. Shipun Anuar Bin Hamzah | 1. Universal Lora Antenna Design 2. 5G/6G Antenna Design | |
| 53. | Prof. Ir. Dr. Erwan Bin Sulaiman | 1. Optimization of Flux Switching Motor for Electric Vehicles based on AI 2. Design of Hybrid Excitation Generator for Hydropower Applications |
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| 54. | Dr. Afarulrazi Bin Abu Bakar | Grid-Connected Inverter and FPGA Control 1. FPGA-Based Adaptive Grid Synchronization System for Inverters under Distorted Grid Conditions-Involves PLL design, ZCD logic, and digital filtering. 2. Real-Time FPGA Implementation of Multilevel Inverter for Grid-Connected Applications- Apply 5-level inverter modulation techniques and focus on THD reduction. 3. Grid-Tied DC-AC Converter Using FPGA and Machine Learning for Harmonic Prediction- Introduce AI algorithms to predict grid harmonics and adjust PWM in real time. Renewable Integration with Grid 3. Dual-Source MPPT-Fed Grid Inverter: FPGA-Based Control of PV and Wind Hybrid System- Integration of MPPT logic and dual-input DC-DC converter. 4. Performance Analysis of FPGA-Controlled Grid-Tied Inverter with Battery Backup- Includes bidirectional power flow and charging algorithms. Advanced Grid Features & Quality 5. FPGA-Controlled Active Power Filter for Harmonic Compensation in Grid-Connected Systems- Focuses on sensing, filtering, and real-time harmonic mitigation. 6. Design of a Grid-Tied Inverter with Islanding Detection and Reconnection Logic Using FPGA- emphasises safety compliance and transition detection. Educational/Training System Focus 7. Development of an FPGA-Based Grid-Tied Inverter Training Kit for TVET Applications- Combining hardware and simulation, aligns with your kit development interest. 8. Smart Lab-Scale Grid Integration Platform Using FPGA for Teaching Power Electronics- Integrates an inverter, ZCD, and grid emulation in a training module. Education / Training System-Oriented 9. Development of an FPGA-Based Motor Control Training Platform for TVET Institutions- Covers DC/BLDC control, PWM, speed control, and real-time waveform monitoring. AI, Fault, and Learning-Based Control 10. FPGA-Based Fault Detection and Self-Protection System for Motor Drives- Includes overcurrent, overtemperature, stall detection logic. Integrated Control with Peripherals 11. FPGA-Driven Motor Speed Control System with Throttle-Based ADC Input and Load Feedback- Integrates analog throttle (e.g., potentiometer), ADC, and current/voltage sensors. |
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| 55. | Dr. Rahmat Bin Talib | Investigation of Equalization Techniques in Direct Current Optical Filter Bank Multicarrier Modulation for Visible Light Communication Systems | |
| 56. | Assoc. Prof. Dr. Maisara Binti Othman | 1. Design a smart halal slaughter knife that can ensure and verify the proper severance of the necessary veins (urat halkum and urat marih) during the slaughtering process for halal compliance and traceability. 2. Optical Communication System 3. Agro with IoT system |
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| 57. | Dr. Fairouz Yousof | 1. Power transformer, rotating machine, power cable, switchgear, high voltage engineering 2. Energy management 3. Sustainable engineering | |
| 58. | Mr. Mohamad Fauzi Bin Zakaria | 1. Design and Simulation of High-Rise Building Painting Drone using Isaac Sim and PX4 Autopilot. 2. Implementation of the Nav2 package for the Drone Indoor Application using Isaac Sim and PX4 Autopilot. |
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| 59. | Dr. Warsuzarina Binti Mat Jubadi | 1. Design and Analysis of Low-Power ADC for Biosensors in Battery-Constrained IoT Health Devices Summary: ADCs in wearable biosensors consume significant power. This project simulates low-power SAR and sigma-delta ADC architectures in EDA tools eg. Cadence for ECG/SpO₂ biosensors. Design targets include low voltage operation, energy per conversion, and area efficiency. 2. Design and Simulation of Low-Voltage Power Management IC for Energy-Harvesting IoT Devices Summary: Energy-harvesting IoT devices face issues with voltage regulation and startup. This project involves the simulation and design of a power management IC (PMIC) with ultra-low startup voltage and high efficiency. Tools include Cadence Spectre for circuit simulation and MATLAB for system modeling. 3. Design and Optimization of Low-Leakage 6T SRAM for Low-Voltage AI Edge Devices in Power-Constrained Environments. Summary: AI edge devices deployed in power-constrained rural environments require ultra-efficient memory blocks to support intermittent and low-duty-cycle operation. This project involves the design, simulation, and layout of a 6T SRAM cell optimized for sub-1.2V operation using Cadence Virtuoso and Spectre 4. Other suitable relevant research on low power, low voltage circuit design in various applications based on the student's preference |