About me
I am an Associate Professor at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), where my research focuses on Artificial Intelligence, Data Analytics, and Computer Science. I am also a researcher at the Cardiovascular Advancement and Research Excellence Institute (CARE Institute) , where I collaborate closely with clinicians and health science researchers on multidisciplinary projects that bridge computing and healthcare. In parallel with my academic role, I have led and contributed to multiple software development initiatives within the Faculty and across UiTM.
My research interests extend beyond core computing techniques to include applied and data-driven solutions for real-world problems, particularly in health and intelligent systems. I adopt a range of methodological approaches, combining machine learning, empirical evaluation, and data-quality engineering to support robust and reliable system development .
Further details about my work can be found in the publications, and professional sections of this site, which provide deeper insight into the problems I study and the solutions I develop. For academic inquiries, potential collaborations, or professional engagement, I welcome you to get in touch.
🎓 EDUCATION
💼 CAREER
Publications
Indexed Journals, Book Chapters & Proceeding
2.WoS Live
Teaching
Courses taught across Computer Science and Software Engineering, with emphasis on programming foundations, web systems, and professional software development practices.
Computer Science
- Introduction to Computer Programming
- Object Oriented Programming
- Web Programming
- Enterprise Programming
- Principle of Compiler
Software Engineering
- Software Design
- Software Configuration Management
- Software Verification and Validation
- Software Project Management
- Web Architecture
- Search Engine and Web Navigation
Supervision
Current Supervision
Doctoral (PhD)
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Nasibah Husna Binti Mohd Kadir
Enhancing Workforce Dynamics: An Algorithmic Approach to Employee Rotation Optimization in Human Resource Management. (2024–ongoing) -
Norami Mastura Binti Abdul Halim
Machine Learning for Predicting Student Performance. (2024–ongoing) -
Huang XinXin (Co-Supervisor)
Modelling Young Adult Physical Fitness. (2023–ongoing) -
Noraina Hafizan Norman (Co-Supervisor)
Fully Automated Neural Network for Classification of Cervical Vertebral Maturation as a Biologic Indicator of Skeletal Maturity. (2023–ongoing)
Masters by Research
-
Sasha Farhana Shamsul Anwar
A Model for Building Software Defect Prediction. (2020–ongoing) -
Abang Asyraaf Aiman Abang Azahari
Data-Driven Selection Model for Optimizing Active Learning Method Using Recommender Approach. (2023–ongoing) -
Muhammad Luqman Arif Bin Muhazzib (Co-Supervisor)
Development of Legal Aid Advisory System for Potholes Accident Victims Using Knowledge Base. (2025–ongoing)
Completed Supervision
Doctoral (PhD)
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Jafhate Edward (Main Supervisor)
An Ensemble Clustering Algorithm for Modelling Highly Imbalanced Data. (2020–2024) -
Gao Xioling (Main Supervisor)
An Improved Synthetic Oversampling to Overcome Multi-Class Imbalance for Deep Learning Image Recognition in the Wild. (2021–2025) -
Wang Yu Jiang (Main Supervisor)
A New Oversampling Method for Multi-Class Imbalanced Medical Data Using Feature Selection and Fuzzy Membership. (2023–2026) -
Li Feng (Main Supervisor)
Graph Neural Network with Multimodal Data for Fake News Detection from Social Media. (2021–2026) -
Zhang Fuye (Co-Supervisor)
The Essential Significance of Technology, Processes and People during Software Project Development and Requirements in the Public Sector in China. (2021–2025)
Masters by Research
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Nurafifah Binti Mohd Nor (Co-Supervisor)
Modelling Lower-Level Dependencies to Improve Coordination in Software Engineering Projects. (2023) -
Nurhayati Mohd Husni (Co-Supervisor)
Cascading Transformation of Hektar REIT Web System Using Responsive Web Design Approach. (2019–2024) -
Nursyuhaila Yahaya (Co-Supervisor)
Human Factors Model in Assessing Software Defect Reporting Quality and Productivity. (2019–2024) -
Nurul Farah Syahidah Mohamad Samuri (Co-Supervisor)
Development and Assessment of a Prognostic Prediction Model of COVID-19 Cases in Malaysia. (2022–2025)
Masters by Coursework
- Syamsul Syafiq Syamsul Kamal — Real-Time Household Power Usage Monitoring Using Arduino Uno and SDM230-Modbus (2018)
- Muhammad Zabir Abdul Halim — Web-Based Customizable Human Resource Performance Review (2018)
- Nur Shuhada Mohd Rosli — System for Gestational Diabetes Mellitus Patients (2019)
- Marcella Onn — Classification of Familial Hypercholesterolemia Using Tree-Based ML Techniques (2020)
- Rosliyana Roslan — Patients Analytic on Familial Hypercholesterolemia (2020)
- Nur Zarna Elya Zakariya — Personalisation Fitness Data Using Behaviour Change Technique (2020)
- Norshafawati Azizam — Performance Evaluation of PWA vs Native Web App in Healthcare (2021)
- Siti Nur Shahidah Zaman Shah — Clustering FH Disease Using Data Mining (2021)
- Nurathirah Abd Rahim — Fake News Detection using NLP (2022)
- Ramadan Yacin Ibrahim — Evaluation of Web Application Vulnerability Scanner (2022)
- Hafeitz Onn — Predictive Model for Pathogenic Variants in FH Genes (2022)
- Mohd Khalil Khusairi Sulaiman — Performance Evaluation of Web Frameworks for E-commerce (2023)
- Fatin Nadhirah Azland — Predictive Analytics for Cardiovascular Risk (2023)
- Nurin Rohana Mohamad Bahrom — Explainable Ensemble Learning vs Logistic Regression for COVID-19 Mortality (2025)
- Ahmad Muzammil Halim — A Comparative Analysis on Deep Learning and Machine Learning for Cardiovascular Disease Prediction (2025)
Research Grants
National Grants
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Principal Researcher
Data-driven Selection Model for Optimizing Active Learning Method Using Recommender Approach.
Ministry of Education Malaysia (MOE) – Fundamental Research Grant Scheme (FRGS)
2023–2026 ·Ongoing -
Principal Researcher
Development of a Fully Automated Classification System of Cervical Vertebral Maturation Staging Using Deep Convolutional Neural Network.
Ministry of Education Malaysia (MOE) – Prototype Research Grant Scheme (PRGS)
2023–2026 · Ongoing -
Principal Researcher
Analytics Dataset Metamodel for Data Interpretation with External Elements.
Ministry of Education Malaysia (MOE) – Fundamental Research Grant Scheme (FRGS)
2019–2021 · Completed -
Co-Researcher
Development of a Portable Rapid Forensic Soil Probe for Enhanced Clandestine Grave Detection.
Ministry of Education Malaysia (MOE) – Prototype Research Grant Scheme (PRGS)
2025–2027 · Ongoing -
Co-Researcher
Automated Teeth Detection and Labeling for Dental Charting Using CNN on 3D Intraoral Scans.
Ministry of Education Malaysia (MOE) – Industry Matching Programme (IMaP)
2024–2026 · Ongoing -
Co-Researcher
Virtual Counselling Session Analysis Using Natural Language Processing (NLP).
University of Malaya – SRP
2024–2026 · Ongoing -
Co-Researcher
Collaborative Intelligent Education Platform Using MVC Architecture.
MOSTI & Yayasan Inovasi Malaysia (MOSTI–YIM)
2021–2023 · Completed -
Co-Researcher
Human Factors Model in Software Defect Reporting.
Ministry of Education Malaysia (MOE) – FRGS
2019–2022 · Completed -
Co-Researcher
Inference Knowledge Formulation Schema.
Ministry of Education Malaysia (MOE) – FRGS
2016–2019 · Completed -
Co-Researcher
A New Weighted-Goal-Scores Method for Determining Match Importance.
Ministry of Education Malaysia (MOE) – FRGS
2010–2013 · Completed -
Co-Researcher
Extractive Summarization of Formal Malay Speeches.
Ministry of Education Malaysia (MOE) – FRGS
2010–2013 ·Completed
Internal Grants (Universiti Teknologi MARA)
-
Co-Researcher
Intelligent Computer Vision Model for Malaysian Edible Flower Recognition and Data Repository.
Universiti Teknologi MARA – GPM
2023–2026 · Ongoing -
Principal Researcher
Modelling COVID-19 of Malaysian Patients for Effective Triage and Treatment.
UiTM – LESTARI
2020–2023 · Completed -
Principal Researcher
Data Interpretation Metamodel for Evaluating the Quality of Data Sets.
UiTM – REI
2019–2022 · Completed -
Co-Researcher
Development of Near-Patient Cholesterol Measuring Device Integrated with FH Screening Application.
UiTM – UiTMSEL
2022–2024 · Completed -
Co-Researcher
Pembangunan Sistem Pengurusan Maklumat Penarafan UiTM.
UiTM – BESTARI
2022–2023 · Completed -
Co-Researcher
FH CatScreen: Computerised FH Screening and Categorisation Tool for Malaysian Population.
UiTM – SRP
2021–2023 · Completed -
Co-Researcher
Flexible Software Requirements Review Validation Framework.
UiTM – BESTARI PERDANA
2018–2019 · Completed -
Co-Researcher
Automated Computer Application System for FH Screening and Categorisation.
UiTM – MITRA
2017–2020 · Completed -
Principal Researcher
A New Noise Detection and Elimination Algorithm for Software Defect Prediction.
UiTM – Dana Kecemerlangan
2012–2014 · Completed -
Co-Researcher
Measuring Level Perception.
UiTM – Dana Kecemerlangan
2010–2011 · Completed -
Co-Researcher
Development of Mobile Learning Application for Enhancement of Teaching Tool.
UiTM – Dana Kecemerlangan
2008–2009 · Completed
Academic Dashboard
Publications (80)
Research Grants (24)
Supervisions (16)
Awards (18)
Intellectual Property (11)
Professional Services (30)
Contact
Marshima Mohd Rosli, PhD
School of Computing Sciences
Faculty of Computer & Mathematical Sciences
Universiti Teknologi MARA (UiTM)
40450 Shah Alam,
Selangor, Malaysia