Students

ONGOING

Postgraduates

• Msc - A Development of a Convolutional Neural Network Classification Model Prototype on FPGA, Joel Laing Luyoh, (Main-SV).

• Msc - A Lightweight Convolutional Neural Network Architectures for Image Classification on Edge Devices, Muhammad Abbas Abu Talib, (Main-SV).

• Msc - Prediction Of Riverine Load Using Artificial Neural Network (ANN), Hariz Mohd Hanafiah, (Co-SV).

• Msc - Deep Learning Models to Determine Nutrient Concentration in Hydroponically Grown Lettuce Cultivars, Fazli Bakri, (Main-SV).

• Msc - Rice Diseases Diagnosis Using Deep Learning Network, Mohd Aniq Ismail, (Main-SV).

• Msc - An Automated and Adaptive Approach for Re-Classification of False Call in Automated Optical Inspection Post Reflow, Iqbal Haziq Jamal, (Co-SV).

• Msc - Application of Artificial Intelligence Methods for Fig Detection, Ahmad Shukri Firdhaus Kamaruzaman, (Co-SV).

• MSc - A MPPT Control Algorithm Based on Machine Learning in PV System, Wan Mohammad Faiz Wan Sharifudin (Co-SV)

• PhD – A Deep Learning Approach for Classification of Diabetic Retinopathy, Nur Nabilah Bahrum, (Main-SV)

• PhD – An Effective and Robust Deep Convolutional Neural Network for in-situ Pavement Crack Detection, Mohd Ikmal Fitri Maruzuki, (Co-SV)

• PhD - A Fully Automated Myocardial Infarction Detection From Late Gadolinium Enhancement (LGE) MRI Images using Optical Flow-Based Segmentation Method, Dayang Suhaida Awang Damit,(Co-SV)

• PhD - Sensorless Control of Permanent Magnet Synchronous Motor  (PMSM) using MRAS-ANN Controller, Siti Zulaika Binti Mat Isa,(Co-SV)

• PhD - Formulating First and Second Phase Endogenous Insulin Secretion Through Heuristic Deep Learning Model, Mohd Hussaini Abbas , (Co-SV)

• PhD - Modelling and Prediction in Physiological Behavior in Type II Diabetic Patients, Sarah Addyani Shamsuddin, (Co-SV)

Undergraduates

• FYP - An Automatic Visual Inspection System for Printed Circuit Board (PCB) Defect Detection, Mohd Amirul Khuzainie Zakaria, (Main-SV)

• FYP - Face Recognition Attendance System, Ahmad Ikram Sharipudin, (Main-SV)

• FYP - Face Recognition Attendance System, Mohammad Azril Hafizi bin Amirudin, (Main-SV)

GRADUATED

Postgraduates

• MSc - Application of Machine Learning Methods for Human Gait Cycle Estimation, Ainim Sofia Fauzilan (Co-SV)

• Msc - Integration of GIS Based ANN Modelling in Evaluating The Spatial Distribution of Microplastics Abundance, Muhammad Zakwan Anas Abd Wahid, (Co-SV).

• Msc - Photo-Realistic Image Generation Using Generative Adversarial Network with Multiple Textual Description for Forensic Sketchless Recognition, Nur Nabilah Bahrum, (Main-SV).

• MSc - A Multimodal Deep Learning Approach for Non-destructive Quality Assessment of Ficus Carica L., Iylia Adhwa Mazni (Main-SV)

Undergraduates

• FYP - Growth Monitoring of Hydroponic Lettuce based on a Convolutional Neural Network, Muhammad Bukhari Bin Shukor (Main-SV)

• FYP - The Plant Growth Investigation at the Seedling Stage of an Airflow-based System with Artificial Lighting in NFT-based Hydroponic System, Mohammad Amirul Naim Aminudin (Main-SV)

• FYP - An FPGA-based Convolutional Neural Network Acceleration or for Fruit Quality Prediction, Fatin Syahidah Mohd Sharif (Main-SV)

• FYP - An FPGA-based Convolutional Neural Network Acceleration for Fruit Ripeness Classification, Hanis Raihana Musa (Main-SV)

• FYP - Development of Embedded System for controlling Phase Locked Loop YIG-tuned Oscillator Frequency Synthesizer, Muhammad Abbas Abu Talib (Main-SV)

• FYP - Forensic Face Sketch Recognition using Images from Projected Modality, Muhammad Syazani Syahmi Harul Azman (Main-SV)

• FYP - IoT-Based Water Temperature Control and Monitoring System For Hydroponics, Nurul Anis Ayob (Main-SV)

• FYP - Fig Fruit Image Segmentation, Nurnajwa Erwina Md Rosli (Main-SV)

• FYP- Forensic Face Sketch Recognition, Edi Afzan Bin Saidon (Main-SV)

• FYP- Development of a Multi-Fan System (MPS) with Artificial Lighting for NFT-based Hydroponic System in Urban Farming, Muhamad Zaidey Bin Din (Main-SV)

• FYP- Development of a Plant Growth Quality Predictor using Machine Learning for Urban Farming, Aaron Ashton Sunak Anak Joseph (Main-SV)

• FYP- Image Processing using Verilog HDL, Zul Imran Azhari Bin Khairill Anwar (Main-SV)

• FYP- One-Shot Learning for Facial Sketch Recognition, Nuraina Iwani Ahmad Sabri (Main-SV)

• FYP- One-shot Learning for Face Recognition, Amira Anisa Rahman Putra (Main-SV)

• FYP- Characterizing Local Hand-Crafted Feature Descriptors For Sketch-Based Image Retrieval, Muzhaffar Bin Ahmad (Main-SV)

• FYP- Characterizing Global Hand-Crafted Feature Descriptors For Sketch-Based Image Retrieval, Muhamad Amirul Hazim bin Mohd Hamid (Main-SV)

• FYP- Voice Controlled Intelligent Wheelchair using Raspberry Pi, Muhammad Azlan Bin Alim (Main-SV)

ONGOING

Postgraduates

• Msc - A Lightweight Convolutional Neural Network Architectures for Image Classification on Edge Devices, Muhammad Abbas Abu Talib, (Co-SV).

• Msc - Deep Learning Models to Determine Nutrient Concentration in Hydroponically Grown Lettuce Cultivars, Fazli Bakri, (Co-SV).

• Msc - Rice Diseases Diagnosis Using Deep Learning Network, Mohd Aniq Ismail, (Co-SV).

• MSc - Application of Machine Learning Methods for Human Gait Cycle Estimation, Ainim Sofia Fauzilan (Main-SV).

• Msc - Application of Artificial Intelligence Methods for Fig Detection, Ahmad Shukri Firdhaus Kamaruzaman, (Main-SV).

• Msc - Application of Deep Learning Methods for AOI Post Reflow False Call Classification - Iqbal Haziq Jamal, (Main-SV)

Undergraduates

• FYP - Application of Deep Learning in AOI Post Reflow False Call Classification, Ammar Nor Hakim Omar, (Main-SV)

• FYP - Human Activity Recognition using Machine Learning Approach, Mohammad Afiq Hamdan (Main-SV)

GRADUATED

Postgraduates

• Coming soon

Undergraduates

• FYP - Application of Deep Learning for FIG fruit detection in the Wild, Mohammad Afiq Hamdani Bin Mohammad Farid (Main-SV)

• FYP - Human Gait Cycle Model using Spatial-Temporal Features, Fatin Fatihatul Ashyikin Kamaruzaman (Main-SV).

• FYP - Human Gait Cycle Model using Image-Temporal Features, Iqbal Haziq Jamal (Main-SV).

• FYP - Recognition of Neurodegenerative Diseases with Gait Patterns using Machine Learning Algorithm, Hanna Nabilah A Sahil (Main-SV).

• FYP - The Learning Algorithm in Neural Network Technique for Human Gait Cycle Prediction, Ainim Sofia Fauzilan (Main-SV).

• FYP - The Effect of Network Depth in Neural Network for Gait Cycle Prediction, Durratul Nasihah Rashidi (Main-SV). 

ONGOING

Postgraduates

• Coming soon

Undergraduates

• FYP - Segmentation of Lung Region in CT Scan Data using Image procession Technique for Lung Cancer Detection, Farah Auni binti Sahimi (Main-SV)

• FYP - Automated Thorax And Non-Thorax Detection System For Computed Tomography Images Using Deep Convolutional Neural Network, Nur Nabilah Binti Bahrum (Main-SV)

• FYP - Lung Region Segmentation using Image procession Technique, Adam Syahmi bin Rashadan (Main-SV)

GRADUATED

Postgraduates

• Coming soon

Undergraduates

• FYP - Features Extraction of Lung Cancer using Image procession Technique, Muhamad Daniel Irfan bin Alhamdu (Main-SV)

• FYP - Image Segmentation of Lung Cancer, Muhd. Safwan bin Mansor (Co-SV)

• FYP - Optical Flow Method for Features Extraction of Lung Cancer Nodule in CT Scan Images, Mursyidah Madihah Muhammad Isa   (Main-SV)

• FYP - Deep Neural Network Method for Classification of Thorax and Non-thorax region from CT scan images of Lung Cancer, Mohd Wafi bin Mohd Bakri (Main-SV)

• FYP - Optical Flow Method For Lung Cancer Detection On Ct Scan Images, Syafiqah Aqilah Binti Saifudin (Main-SV)

ONGOING

Postgraduates

• MSc - A precise and Fast Deep Convolutional Neural Network Approach for Real-Time Shrimp Detection System in Crustaceans farming, Mohamed Syazwan Asyraf Rosli (Co-SV)

• MSc - Application of Machine Learning Methods for Human Gait Cycle Estimation, Ainim Sofia Fauzilan (Co-SV)

• MSc - Harmony Home Design, Eizzat Ayman Bin Zaikuan (Co-SV)

• MSc - Autonomous Plant Disease Detection System, Denesh Kumar A/L AV Paramasivam (Co-SV)

Undergraduates

• FYP- Plant Seedling Classification with General Visual Representation Learning, Wan Nur Athirah Binti Wan Mustafa (Main)

• FYP- Crop/Weeds Segmentation with Atrous Convolution via Deeplabv3, Nur Syazana Bt Rosli (Main)

• FYP- Deep Learning classifier of Human gender from Voice Signals, Nurul Izzaty Bt Jailani (Co-SV)

• FYP- Deep learning Classification of Covid-19 from CT Scan Images, Muhamad Syafiq Bin Abdullah (Co-SV)

GRADUATED

Postgraduates

• Coming soon

Undergraduates

• FYP- Automatic Image Colorization with Deep CNN, Mohd Najwan Bin Mohd Nawi (Main)

• FYP- Autonomous InDoor Navigation with Linear Regression + Dead Reckoning, Shaimim Raphay Bin Shahul Hameed Raphay (Main)

• FYP- An Empirical Study of TensorFlow Lite Performances in Raspberry Pi, Mohamad Harith Bin Mohd Zahid (Main)

• FYP- River Segmentation for Flood Monitoring with Atrous Convolution via DeepLabv3, Nur Adilah Hamid (Main)

• FYP- Performance Analysis of Deep Neural Network based Knife Detection System in Machine Learning Frameworks, Muhammad Hamidi Bin Zanani (Main)

• FYP- Gold Price Prediction, Khairul Naim (Main)

• FYP- Design and Fabrication of E-Textile based WSN, Nurul Fatin Zulkepply (Main)

ONGOING

Postgraduates

• Msc - A Development of a Convolutional Neural Network Classification Model Prototype on FPGA, Joel Laing Luyoh, (Co-SV).

• Msc - A Lightweight Convolutional Neural Network Architectures for Image Classification on Edge Devices, Muhammad Abbas Abu Talib, (Co-SV).

• Msc - Deep Learning Models to Determine Nutrient Concentration in Hydroponically Grown Lettuce Cultivars, Fazli Bakri, (Co-SV).

• Msc - An Automated and Adaptive Approach for Re-Classification of False Call in Automated Optical Inspection Post Reflow, Iqbal Haziq Jamal, (Co-SV).

Undergraduates

• Will be updated soon ...

GRADUATED

Postgraduates

• Coming soon

Undergraduates

• Will be updated soon ...