Staff Directory
Academic Qualification
- 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
Other's position:
Deputy Director, Centre for Professional Development
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
Teaching Responsibilities
BIG DATA ANALYTICS | 2019/2020 2018/2019 2017/2018 |
DATA SCIENCE | 2024/2025 2023/2024 2022/2023 2021/2022 2020/2021 2019/2020 2018/2019 2017/2018 |
DATATHON AND BOOTCAMP | 2023/2024 2022/2023 2021/2022 2020/2021 2019/2020 |
ELEMENTARY STATISTICS | 2015/2016 2014/2015 |
ELEMENTS OF PROGRAMMING | 2014/2015 |
FINAL YEAR PROJECT | 2017/2018 |
FINAL YEAR PROJECT 1 | 2005/2006 |
FINAL YEAR PROJECT I | 2021/2022 2020/2021 2019/2020 2017/2018 |
FINAL YEAR PROJECT II | 2021/2022 2020/2021 2019/2020 2006/2007 |
INDUSTRIAL ATTACHMENT | 2017/2018 2016/2017 2015/2016 2014/2015 2006/2007 |
INTRODUCTION TO COMPUTER ORGANISATION | 2005/2006 |
INTRODUCTION TO COMPUTER ORGANIZATION | 2015/2016 2014/2015 2007/2008 2006/2007 2005/2006 |
PRINCIPLES OF ARTIFICIAL INTELLIGENCE | 2005/2006 |
PRINCIPLES OF ARTIFICIAL INTELLIGENCE(AI) | 2005/2006 |
PROBABILITY AND STATISTICS | 2024/2025 2023/2024 2022/2023 2021/2022 2018/2019 2017/2018 2016/2017 2015/2016 |
STRUCTURED PROGRAMMING LANGUAGE | 2007/2008 2006/2007 |
UNSTRUCTURED DATA ANALYTICS | 2023/2024 2022/2023 2021/2022 2020/2021 2019/2020 2018/2019 |
Supervision
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
|
Hybrid Adaptive Context Aware Recommendation Framework For Outdoor Path Planning Optimization In Smart Environment.
Ph.D
In Progress
Main Supervisor
|
A Model Of Deep Learning Algorithm For Eeg-Based Mental Stress Identification Adn Quran Recitations Therapy For Healthy Mental State Among University Students.
Ph.D
In Progress
Main Supervisor
|
Optimizing Supply Chain Efficiency Through Predictive Analytics And Prescriptive Modeling..
Ph.D
In Progress
Main Supervisor
|
Neurophysiological Profiling Model For Mental Fatigue.
Ph.D
In Progress
Co-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
|
Skyline Queries Over Large-Scale And Incomplete Graph Using Machine Learning.
Master
In Progress
Main Supervisor
|
Knowledge Of Large Scale, Uncertain And Incomplete Graphs Of Skyline Queries Optimization Using Machine Learning.
Master
In Progress
Main Supervisor
|
.
Master
In Progress
Main Supervisor
|
Answering Skyline Queries Over Large Scale And Uncertain Graps Using Machine Learning.
Master
In Progress
Main 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
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 |
Publications
Article
Conference or Workshop Item
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, |
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, |
Book
2017 | Online feature selection based on input significance analysis (ISA) for evolving connectionist systems (ECos). IIUM Press, ISBN: 978-967-418-688-3 |
Book Section
2024 | A machine learning-based automated vehicle classification implementation on toll system in Malaysia: a preliminary study. In: KICT Publishing, ISBN: , pp. 16-35 |
2024 | Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case. In: KICT Publishing, ISBN: , pp. 43-56 |