Staff Directory


Raini Binti Hassan

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


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. Administratively, she is the Head of Computer Science Department, at the Kulliyyah of Information and Communication Technology (KICT).
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 ~ 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 ~ Predictive Analytics - Teach and ongoing research on Data Science and Big Data Analytics
  • 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 2022/2023 2021/2022 2020/2021 2019/2020 2018/2019 2017/2018
DATATHON AND BOOTCAMP 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 2022/2023 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 2022/2023 2021/2022 2018/2019 2017/2018 2016/2017 2015/2016
STRUCTURED PROGRAMMING LANGUAGE 2007/2008 2006/2007
UNSTRUCTURED DATA ANALYTICS 2021/2022 2020/2021 2019/2020 2018/2019


Research Projects


Completed
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
2020 - Present MRI Medical Images Detection and Classification of Brain Tumor Based on Deep Learning Techniques
2020 - Present Car Drivers' Mental Fatigue Neuro-physiological Profiling Model
2019 - Present Human Factors Model to Improve Information Visualization Reporting for Big Data Analytics
2019 - Present A Framework for the Detection of Intelligent Source Code Plagiarism in Big Data using Word2vec Model
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

2021 An approach of classifying waste using transfer learning method. International Journal on Perceptive and Cognitive Computing (IJPCC), 7 (1) pp. 41-52
2021 Brain behavior analysis of mental stress before and after listening to Quranic recitation based on EEG signals. International Journal on Perceptive and Cognitive Computing (IJPCC), 7 (1) pp. 59-65
2021 Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16. Journal of Engineering Science and Technology (JESTEC), Special Issue (6/2021) pp. 21-32
2021 Prediction of agricultural emissions in Malaysia using the arima, LSTM, and regression models. International Journal on Perceptive and Cognitive Computing (IJPCC), 7 (1) pp. 33-40
2020 Consensus by High Gegree of DeGroot model for multi-agent systems. International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), () pp.
2020 Development of classification methods for wheeze and crackle using mel frequency cepstral coefficient (MFCC): a deep learning approach. International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2) pp. 107-114
2020 Health profiling using event-related potential (ERP) brain signals and spiking neural network (SNN). International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2) pp. 22-28
2020 P300 ERP component on eating habits profiling using dynamic evolving spiking neural network (deSNN). International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2) pp. 29-35
2020 Prediction of the level of air pollution during wildfires using machine learning classification methods. International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2) pp. 115-123
2020 Preventive and curative personality profiling based on EEG, ERP, and big five personality traits: a literature review. Journal of Computational and Theoretical Nanoscience, 17 (2/3) pp. 531-545
2020 Sea level anomaly and earthquake predictions: endangered countries prognostications. International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2) pp. 36-41
2020 Source code plagiarism detection approaches: a systematic literature review. Journal of Advanced Research in Dynamical and Control Systems, 12 (04 (Special Issue)) pp. 1575-1587
2020 Source code plagiarism detection approaches: a systematic literature review. Journal of Advanced Research in Dynamical and Control Systems, 12 (4 (Special Issue)) pp. 1575-1587
2020 Waste management using machine learning and deep learning algorithms. International Journal on Perceptive and Cognitive Computing (IJPCC), 6 (2) pp. 97-106
2019 Brain and artificial intelligence: from the viewpoint of spontaneous and task-evoked brain dynamics. Journal of Computational and Theoretical Nanoscience, 16 (3) pp. 1081-1092
2019 Brain and artificial intelligence: from the viewpoint of spontaneous and task-evoked brain dynamics. Journal of Computational and Theoretical Nanoscience, 16 (3) pp. 1081-1092
2019 Emotional profiling through supervised machine learning of interrupted EEG interpolation. International Journal of Advanced Computer Research, 9 (43) pp. 242-251
2018 Detection and restoration of cracked digitized paintings and manuscripts using image processing. International Journal of Engineering & Technology, 7 (2.34) pp. 39-43
2017 Input significance analysis: feature ranking through synaptic weights manipulation for ANNS-based classifiers. Journal of Fundamental and Applied Sciences, 9 (4S) pp. 639-662
2017 Input significance analysis: Feature selection through synaptic weights manipulation for EFuNNs classifier. Journal of Fundamental and Applied Sciences, 9 (4S) pp. 681-709
Conference or Workshop Item

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