Graduated
PhD
Nor Aizam Muhamed Yusof
Thesis: Pavement Distress Analysis using Deep Learning
Affiliation: Politeknik Tuanku Sultanah Bahiyah
Ali Olow Jimale
Thesis: Enhanced Conditional Generative Adversarial Network for Handling Subject Variability In Human Activity Recognition
Affiliation: Faculty of Computing, Simad University
Ige Ayokunle Olalekan
Thesis: Deep Local-Temporal Architecture Towards Lightweight Deep Learning Activity Recognition
Affiliation: Department of Computer Science, Adekunle Ajasin University
Abdulrahman M A Baraka
Thesis: Segmentation Approach for Sensor-based Human Activity Recognition
Affiliation: Al-Quds Open University
MSc
Chan Mang Hong
Thesis: Data Generation using Generative Adversarial Network for Human Activity Recognition
Affiliation: Intel Corporation, Malaysia
Jodene Ooi Yen Ling
Thesis: Predicting Freezing of Gait in Parkinson’s Disease with Autoencoder-based Representation Learning
Affiliation: School of Computer Sciences, USM
Loh Jing Zhi
Thesis: MobileNet-SVM: A Hybrid, Light-weight Deep Learning Architecture for Human Activity Recognition
Affiliation: School of Computer Sciences, USM
Yap Kah Liong
Thesis: Signal Segmentation using You Only Look Once Network for Human Activity Recognition
Affiliation: School of Computer Sciences, USM
Lim Chin Tiong
Thesis: Comparative Study of Deep Learning-based Object Detection Algorithms on Real-time Embedded System
Affiliation: School of Computer Sciences, USM
Tan Sen Yan
Thesis: Deep Temporal Conv-LSTM for Human Activity Recognition
Affiliation: Continental, Singapore
Xu Ziyue
Thesis: Data Augmentation using Improved Generative Adversarial Network for Lung Image Classification
Affiliation: School of Computer Sciences, USM
Jwaber Safa Alaa Hussein
Thesis: Improved Rotation Pretext with Sorting Operation for Self-Supervised Visual Feature Learning
Affiliation: School of Computer Sciences, USM
Ammar Nayeef Makki Al-Khafaji
Thesis: Adaptation of Attention Separable Convolution Residual in the U-Net Architecture for Lung Nodule Segmentation
Affiliation: School of Computer Sciences, USM
Al-Battat Asaad Qasim Mahdi
Thesis: Improved ResNet-50 Model with Multiscale Feature Representation for Cancer Classification in Histopathological Image
Affiliation: School of Computer Sciences, USM
Luo Jiechen
Thesis: Covid-19 Virus Detection in Human Lung CT Images using Semantic Segmentation Techniques
Affiliation: School of Computer Sciences, USM
Abdirahman Mohamud Abdullahi
Thesis: Atrous-Spatial-Channel Attention for Abnormal Tissue Image Segmentation
Affiliation: School of Computer Sciences, USM
Habeb Abdullah Saleh Saleh Al-wajeeh
Thesis: Channel-Temporal Hybird Attention for Deep Learning-based Human Activity Recognition
Affiliation: School of Computer Sciences, USM
On-going
PhD
Noratikah Nordin
Research Area: Explainable Machine Learning, Suicide Attempt
Haruna Abdu
Research Area: Deep Learning, Waste Detection and Classification
Raid S. A. Basheer
Research Area: Graph Neural Network, Brain Connectivity
Fathi Said Emhemed Shaninah
Research Area: Machine Learning, Learning Analytics
Hadeel Sameer Mohd Al Tahainah
Research Area: Generative Deep Learning, Computer Vision
Al Tabrawee Hussein Allawi Hasan
Research Area: Self-Supervised Deep Learning, Computer Vision
Sani Tijjani
Research Area: Feature Selection, Metaheuristic Optimization
Tamara Amjad Abdelkarim Alqablan
Research Area: Feature Selection, Metaheuristic Optimization
Al Kadhmawee Ahmed Adil Abdulwahid
Research Area: Deep Learning, Time-series Analysis
Itriq Mariam Abed Alfattah Ali
Research Area: Deep Learning, Hate Speech Detection
Loh Swee Kuan
Research Area: Transfer Learning, Time-series Analysis
Zhao Haojun
Research Area: Explainable Deep Learning, Medical Image Analysis
Idlibi Anas
Research Area: Defect Detection and Segmentation
Maqsood Iqra
Research Area: Medical Image Analysis, Deep Learning, Attention Mechanism
Huang Keyang
Research Area: Lightweight Deep Learning, Human Activity Recognition
MSc
Liau Wei Jie Brigitte
Research Area: Text Spotting, Deep Learning
Hazqeel Afyq Athaillah Kamarul Aryffin
Research Area: Deep Learning, Emergency Triage Classification