Staff Directory
Academic Qualifications
- Doctor of Philosophy (Computer Science) - Doctor of Philosophy, International Islamic University Malaysia
- Master of Science in Computer Science - Masters Degree, University of Salford
- Bachelor of Science with Honours (Information Technology) - Bachelor Degree, Universiti Teknologi MARA (UiTM)
Raini Binti Hassan (Dr.)
Assistant Professor
IIUM Gombak Campus
KULLIYYAH OF INFORMATION AND COMMUNICATION TECHNOLOGY
hrai@iium.edu.my
5655
Expert Profile
Raini Hassan obtained a First Class Bachelor of Science (Hons) Information Technology degree from MARA University of Technology (UiTM) in November 2000. She worked as a Software Engineer in Maxis Mobile Sdn Bhd in the following month for nearly two years before studying for MSc Computer Science in the University of Salford, United Kingdom. She has passed her Ph.D Computer Science viva with minor corrections at the IIUM in January 2016. Her Ph.D thesis is entitled Online Feature Selection Based on Input Significance Analysis (ISA) for Evolving Connectionist System (ECoS).
Raini Hassan has been working at IIUM since March 2005 and has experiences in teaching Artificial Intelligence, C++ Programming Language, Computer Organization and Architecture, Probability and Statistics, Data Science, Big Data Analytics and Unstructured Data Analytics (master level). She also supervised Industrial Attachment (IA) and Final Year Project (FYP) undergraduate students, and became a main supervisor and supervisory committee member for a few postgraduate students.
Her current research interests include Machine Learning, Computational Statistics, Data Science and Analytics, Big Data Analytics, Feature Extraction and Selection, Computational Neuroscience and Engineering Applications of Artificial Intelligence (AI).
Her current research interests include Machine Learning, Computational Statistics, Data Science and Analytics, Big Data Analytics, Feature Extraction and Selection, Computational Neuroscience and Engineering Applications of Artificial Intelligence (AI).
Area of Specialisation
- ICT ~ Information, Computer And Communications Technology (ICT) ~ Artificial Intelligence ~ Predictive Analytics - Teach and ongoing research on Data Science and Big Data Analytics
- ICT ~ Information, Computer And Communications Technology (ICT) ~ Artificial Intelligence ~ Neural, Evolutionary and Fuzzy Computation - Ongoing research on connectionist systems such as Evolving Connectionist Systems (ECoSs)
- ICT ~ Information, Computer And Communications Technology (ICT) ~ Artificial Intelligence ~ Machine Learning - Ongoing research on Neuro-Computing, EEG and ERP
Professional Membership
- 2017 - 2025 : Member of Profesional Body / Association: (Member), Institute of Electrical and Electronics Engineers (IEEE)
Teaching Responsibilities
| BIG DATA ANALYTICS | 2019/2020 2018/2019 |
| DATA SCIENCE | 2025/2026 2024/2025 2023/2024 2022/2023 2021/2022 2020/2021 2019/2020 2018/2019 2017/2018 |
| DATATHON AND BOOTCAMP | 2025/2026 2024/2025 2023/2024 2022/2023 2021/2022 2020/2021 2019/2020 |
| FINAL YEAR PROJECT I | 2021/2022 2020/2021 2019/2020 2017/2018 |
| FINAL YEAR PROJECT II | 2021/2022 2020/2021 2019/2020 |
| PROBABILITY AND STATISTICS | 2024/2025 2023/2024 2022/2023 2021/2022 2018/2019 2017/2018 |
| Statistics for Data Science | 2025/2026 |
| UNSTRUCTURED DATA ANALYTICS | 2025/2026 2024/2025 2023/2024 2022/2023 2021/2022 2020/2021 2019/2020 2018/2019 |
Supervision
|
Neuro-Physiological Profiling Model For Mental Fatigue.
Ph.D
Completed
2025
Co-supervisor
|
|
Academic Performance Prediction Using Machine Learning Classification Techniques For Secondary Schools Students In Oman.
Ph.D
Completed
2024
Co-supervisor
|
|
A Machine Learning Based Risk Assessment
Method Towards Privacy Protection
In Android Devices.
Ph.D
Completed
2023
Main Supervisor
|
|
Brain Tumor Mri Images Detection And Classification Based On Deep Convolution Neural Network Techniques.
Ph.D
Completed
2023
Main Supervisor
|
|
Detection And Restoration Of Cracked Digitized Painting And Manuscripts Usingimage Processing(Ip).
Ph.D
Completed
2022
Co-supervisor
|
|
Computational Cardio-Physiological Model Of Emotion Using Phonocardiography.
Ph.D
Completed
2022
Co-supervisor
|
|
An Optimized Medical Images Watermarking Technique Utilizing A Constant Ratio Of Frequency Domain.
Ph.D
Completed
2022
Co-supervisor
|
|
The Compressibility And The Randomness Of Compressed Data Based On Fibonacci Code:
A Novel Approach.
Ph.D
Completed
2021
Co-supervisor
|
|
Optimizing Supply Chain Efficiency Through Predictive Analytics And Machine Learning For Demand Forecasting.
Ph.D
In Progress
Main Supervisor
|
|
A Model Of Deep Learning Algorithm For Eeg-Based Mental Stress Identification And Quran Recitations Therapy For Healthy Mental State Among University Students.
Ph.D
In Progress
Main Supervisor
|
|
Framework For Automated Test-Case Generation Using Natural Language Processing For Cross-Platform Mobile Applications.
Ph.D
In Progress
Co-supervisor
|
|
Optimizing Skyline Queries In Large-Scale Uncertain Graph Using Graph Neural Networks And Reinforcement Learning.
Master
Completed
2026
Main Supervisor
|
|
Skyline Queries In Large-Scale And Incomplete Graphs Using Machine Learning.
Master
Completed
2025
Main Supervisor
|
|
Skyline Query Processing For Large-Scale And Incomplete Graphs Using Graph Convolutional Network (Gcn)
.
Master
Completed
2025
Main Supervisor
|
|
.
Master
Completed
2024
Main Supervisor
|
|
-.
Master
Completed
2022
Main Supervisor
|
|
The Application Of Business Intelligence And Analytics To Drive Better Business Outcomes In Bssb: A Small Tissue Paper Converting Establishment.
Master
Completed
2021
Main Supervisor
|
|
Preventive And Curative Health Profiling Based On Augmented Event-Related Potentials (Erp) And Machine Learning.
Master
Completed
2020
Main Supervisor
|
|
Halal Authentication Of Fat And Oil Based Products Via Data Science.
Master
In Progress
Co-supervisor
|
|
Ai-Enhanced Comic Strips (Aics): Improving Learner Engagement And Comprehension Through Data Storytelling..
Master
In Progress
Co-supervisor
|
Research Projects
Completed
| 2020 - 2023 | Car Drivers' Mental Fatigue Neuro-physiological Profiling Model |
| 2020 - 2022 | MRI Medical Images Detection and Classification of Brain Tumor Based on Deep Learning Techniques |
| 2019 - 2024 | A Framework for the Detection of Intelligent Source Code Plagiarism in Big Data using Word2vec Model |
| 2019 - 2024 | Human Factors Model to Improve Information Visualization Reporting for Big Data Analytics |
| 2017 - 2017 | Development of Teaching Modules on the Subject of Computer Science Form 5 for MDeC and MOE |
| 2016 - 2018 | Analysis of ZUC Cipher in Mobile Communication |
| 2015 - 2019 | An Online Computational Modeling for EcoS Feature Selection in Traffic Volumes Prediction |
| 2013 - 2016 | Visualization of Emotional Dynamic on Brain Topology using Neural Inspired Computational Model |
| 2007 - 2011 | ICT Workforce and Employability Trends: The Perspective of Employers in Malaysia |
On-Going
| 2026 - Present | Advancing Preschool Hearing Screening Program in Klang Valley Towards Evidence-based Policy and Sustainable Implementation |
| 2025 - Present | Framework for Automated Test-Case Generation Using Natural Language Processing for Cross-Platform Mobile Applications |
| 2021 - Present | A Model for Skyline Queries Over Knowledge Large-Scale Uncertain and Incomplete Graphs |
| 2016 - Present | Development of an Evolving Neuro-Cognitive Computational Model Based on Event-Related Potentials for Healthy Lifestyle Profiling |
| 2014 - Present | Multimedia Intervention Model for Children with ADHD using Neurofeedback Therapy |
Awards & Recognition
| 25 Sep, 2025 | Gold Award in KICT Teaching and Learning Exhibition (TALE) 2025 - Kulliyyah of Information & Communication Technology (KICT) | KCDIO |
| 23 Aug, 2024 | Top 10 MYRA Contribution in KICT Takrim 2024 - Kulliyyah of Information and Communication Technology (KICT) | KCDIO |
| 22 Mar, 2024 | Gold Medal - Universiti Kuala Lumpur / Malaysian Institute of Information Technology (MIIT) | International |
| 26 Sep, 2023 | Top 10 Advisor in Malaysia Data Innovation Talent x DOSM Datathon 2023 (No. 6) - Malaysia Data Innovation Talent and Department of Statistics Malaysia | National |
| 14 Nov, 2019 | Gold Medal - Universiti Tun Hussein Onn Malaysia (UTHM) | National |
| 14 Nov, 2019 | Gold Medal - Universiti Tun Hussein Onn Malaysia (UTHM) | National |
Publications
Articles
Conference or Workshop Items
| 2026 | A review and comparative analysis of predictive models for supply chain demand forecasting. In: 10th International Conference on Information and Communication Technology for the Muslim World (ICT4M 2025), |
| 2026 | Data stories and cognitive load: a systematic review of the picture superiority effect. In: 10th International Conference on Information and Communication Technology for the Muslim World (ICT4M 2025), |
| 2025 | Enhanced EEGNet optimization using lightweight Deep Neural Network for detecting human stress levels from Raw EEG signals dataset. In: 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS), |
| 2025 | Leveraging EEG and Signal-to-Noise Ratio augmentation for advanced stress detection. In: 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), |
| 2025 | The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning. In: 9th International Conference on Engineering Technologies and Applied Sciences (ICETAS 2024), |
| 2022 | The effects of COVID-19 in global warming through the application of data science. In: International Final Year Project Competition and Exhibition (ICPEX) 2022, |
| 2019 | GIS mapping and shortest-path algorithm for drone-aided flood rescue operations. In: National Invention and Invention Competition 2019 (NIICe 2019), |
| 2019 | Sea level anomaly and earthquake predictions: endangered countries prognostications. In: National Innovation and Invention Competition 2019 (NIICe 2019), |
| 2014 | Feature ranking through weights manipulations for artificial neural networks-based classifiers. In: 2014 Fifth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2014), |
| 2014 | Feature ranking through weights manipulations for artificial neural networks-based classifiers. In: 2014 Fifth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2014), |
| 2013 | Setting-up a sulh-based, community mediation-type of online dispute resolution (ODR) in Malaysia. In: 5th International Conference on Information and Communication Technology for the Muslim World, |
Books
| 2017 | Online feature selection based on input significance analysis (ISA) for evolving connectionist systems (ECos). IIUM Press, ISBN: 978-967-418-688-3 |