DR. ERMA RAHAYU BINTI MOHD FAIZAL ABDULLAH
Department of Artificial Intelligence
Faculty of Computer Science and Information Technology
ermaum.edu.my| View CV | |
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| Biography | |
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I am Erma Rahayu Mohd Faizal Abdullah, the Head of the Department of Artificial Intelligence at Universiti Malaya. My passion lies in advancing the fields of computer vision, machine learning, and their applications in areas such as healthcare, education, and manufacturing. As an academic, I’ve had the privilege of shaping the AI curriculum at Universiti Malaya, including designing courses like Artificial Intelligence: Principles & Techniques and NextGen Software Development. My goal is to ensure students are equipped with the knowledge and skills to thrive in the evolving AI landscape. My research focuses on solving real-world problems through AI. One of my proudest projects is UMFit, a real-time monitoring app for cardiac patients that aims to improve healthcare accessibility and reduce clinical burdens. I’m also actively involved in using CBCT data for dentistry research and collaborating with Perodua to enhance automation and quality systems in manufacturing. Ethical AI is a significant part of my work. As an IEEE CertifAIEd™ Authorized Assessor, I focus on promoting algorithmic fairness, transparency, and privacy. I also apply explainable AI (XAI) tools, such as SHAP, to ensure my AI models are interpretable and trustworthy. Education is my passion, and I strive to empower students with high-order thinking skills and innovative approaches to learning. I also enjoy collaborating with international scholars, such as hosting Nishitani Aoi from Ehime University, and incorporating dynamic topics like intelligent agents and Data Intelligence into the curriculum. I strongly believe in building bridges between academia and industry. Collaborations with global leaders like Zhipu AI and Alto AI have brought valuable resources to my department, ensuring we remain at the forefront of AI research and innovation. I am driven by a vision of creating impactful AI solutions and nurturing the next generation of AI experts. My journey continues to be fueled by curiosity, collaboration, and a commitment to ethical innovation. |
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Publication
Finance
| Project Title | Progress | Status |
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| Pembangunan Sistem Pemantauan Prestasi Usahawan Untuk Majlis Amanah Rakyat (mara) |
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| Characterizing Online Learners Understanding Level Via Facial Features and Response Time |
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| This information is generated from Research Grant Management System | ||
Application of deep learning and feature selection technique on external root resorption identification on CBCT images (vol 24, 252, 2024)
Machine learning methods for sex estimation of sub-adults using cranial computed tomography images
Morphometric variations of three sub-adult populations in Malaysia using multi-slice computed tomography data
A hybrid convolutional neural network model for dental age estimation using buccal alveolar bone level for Saudi children
Integrating Digital Exercise Monitoring into Hybrid Cardiac Rehabilitation: A Feasibility Study
An explainable Recursive Feature Elimination to detect Advanced Persistent Threats using Random Forest classifier
ProX: A Reversed Once-for-All Network Training Paradigm for Efficient Edge Models Training in Medical Imaging
Using Mutual Information to Construct Spatio Temporal Co-occurrence based Characterization for Human Action Classification
