Staff Directory

Marini binti Othman

Academic Qualification

  • Doctor of Philosophy in Computer Science - Doctor of Philosophy, International Islamic University Malaysia
  • Master of Computer Science - Masters Degree, Universiti Malaya (UM)
  • Bachelor of Computer Science - Bachelor Degree, Universiti Malaya (UM)

Marini binti Othman (Dr.)

Assistant Professor
IIUM Gombak Campus


Expert Profile

Marini Othman obtained her B.Sc. and M.Sc. degrees in Computer Science from the University of Malaya.  She holds a Ph.D. degree in Computer Science from the International Islamic University Malaysia, specializing in affective computing.  Her research interests include machine learning, biological data mining and mobile health (mHealth). Presently, Dr. Marini is an Assistant Professor at the Department of Information Systems, Kulliyyah of Information and Communication Technology, International Islamic University Malaysia (IIUM).  She can be contacted at email:   

Area of Specialisation

  • ICT ~ Information, Computer And Communications Technology (ICT) ~ Artificial Intelligence ~ Cognitive Science - Affective Computing

Professional Membership

  • 2017: Member of Profesional Body / Association: (Member), Institute of Electrical and Electronics Engineers (IEEE)

Teaching Responsibilities

FINAL YEAR PROJECT I 2020/2021 2017/2018 2016/2017 2015/2016 2013/2014 2008/2009 2007/2008 2006/2007
FINAL YEAR PROJECT II 2020/2021 2019/2020 2017/2018 2016/2017 2015/2016 2014/2015 2008/2009 2007/2008 2006/2007
INDUSTRIAL ATTACHMENT 2017/2018 2016/2017 2015/2016 2014/2015 2013/2014
INFORMATION TECHNOLOGY 2015/2016 2014/2015 2013/2014 2007/2008 2006/2007
PRACTICAL TRAINING 2008/2009 2007/2008 2006/2007
SYSTEM ANALYSIS AND DESIGN 2024/2025 2023/2024 2022/2023
SYSTEMS ANALYSIS AND DESIGN 2008/2009 2007/2008 2006/2007
WEB APPLICATION DEVELOPMENT 2024/2025 2020/2021 2019/2020
WEB TECHNOLOGIES 2023/2024 2022/2023 2020/2021 2019/2020 2018/2019 2017/2018 2016/2017


Brain Tumor Mri Images Detection And Classification Based On Deep Convolution Neural Network Techniques.
Ph.D Completed 2023 Co-supervisor
Neurofinance And Investment Behaviour In Bursa Malaysia.
Ph.D Completed 2019 Member Supervisory Committee
Neurophysiological Profiling Model For Mental Fatigue.
Ph.D In Progress Main Supervisor
The Impact Of Ict In Economic Growth Of Afghanistan.
Master Completed 2021 Main Supervisor
Factors Influencing User Intention To Buy Through Multi-Service Platform (Gojek) In Aceh .
Master Completed 2021 Main Supervisor
Emotion Recognition Based On Eeg Signals For Stock Market Purchase Decisions Analysis.
Master Completed 2018 Main Supervisor

Research Projects

2020 - 2023 Car Drivers' Mental Fatigue Neuro-physiological Profiling Model
2014 - 2016 Computational Modeling for Analyzing the Effect of Quranic Recitations on Human Emotions
2014 - 2020 Brain Inspired Computational Modelling of Tugboat Master based on User Experience and Situation Awareness
2009 - 2011 Collection and Analysis of Human Brain Signals in Relation to Emotion using BIMEC, a Biometrical Machine and Software
2016 - Present Identifying and Profiling children with Learning disabilities using Algorithmic Computational Neuro-Physiological (CNP) Model
2015 - Present Affective Classification of EEG during Visual Spatial Video Game Play
2014 - Present Multimedia Intervention Model for Children with ADHD using Neurofeedback Therapy
2010 - Present Artifact Removal from Children's Electroencephalogram Using Independent Component Analysis (ICA)

Award & Recognition

27 Aug, 2020 Best of the Best Project (Social Science) Tertiary Level - UiTM Cawangan Johor International
27 Aug, 2020 Gold Medal - UiTM cawangan Johor International



2023 EEG features for driver’s mental fatigue detection: a preliminary work. International Journal on Perceptive and Cognitive Computing (IJPCC), 9 (1) pp. 88-94
2022 Shari'ah governance of Islamic banks: the role of shari'ah supervisory board - a bibliometric analysis. IIUM Law Journal, 30 () pp. 129-278
2019 EEG based biometric identification using correlation and MLPNN models. International Journal of Online and Biomedical Engineering, 15 (10) pp. 77-90
2019 Emotion recognition using electroencephalogram signal. Indonesian Journal of Electrical Engineering and Computer Science, 15 (2) pp. 786-793
2017 Investment decisions based on EEG emotion recognition. Advanced Science Letters, 23 (11) pp. 11345-11349
2015 Affective learning analysis of children in a card sorting game. Lecture Notes in Electrical Engineering, 339 () pp. 681-688
2013 EEG emotion recognition based on the dimensional models of emotions. Procedia - Social and Behavioral Sciences, 97 () pp. 30-37
Conference or Workshop Item

2022 Factors affecting customers' adoption of internet banking in Afghanistan. In: 2022 10th International Conference on Cyber and IT Service Management (CITSM),
2022 Prediction of ADHD from a small dataset using an adaptive EEG theta/beta ratio and PCA feature extraction. In: Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022),
2022 Prediction of ADHD from a small dataset using an adaptive EEG Theta/Beta Ratio and PCA feature extraction. In: Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM),
2016 EEG-based emotion recognition in the investment activities. In: 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M 2016),
2016 Revolving traditional EEG device into mobile architecture. In: 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M 2016),
2016 User perceptions of Islamic website (I-webs). In: 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M 2016),
2014 A cognitive-affective measurement model based on the 12-point affective circumplex. In: 2014 3rd International Conference on Advanced Computer Science Applications and Technologies,
2012 Affective mapping of EEG during executive function tasks. In: 2012 15th International Conference on Computer and Information Technology (ICCIT),
2012 EEG affect analysis based on KDE and MFCC. In: The ISCA 2nd International Conference on Advanced Computing and Communication (ISCA-ACC-2012),
2010 Affective face processing analysis in autism using electroencephalogram. In: 3rd International Conference on Information and Communication Technology for the Muslim World (ICT4M 2010),
2007 Developing a secure mechanism for Bluetooth-based Wireless Personal Area Networks (WPANs) . In: International Conference on Electrical Engineering, 2007 (ICEE '07),
Book Section

2011 Classification of EEG signals for understanding affective face processing impairment in autism. In: IIUM Press, ISBN: 9789674181116, pp. 135-154
2011 EEG emotion recognition using features of Mel Frequency Cepstral Coefficients. In: IIUM Press, ISBN: 9789674181116, pp. 58-76
2011 Emotion detection from brain signals based on musical and visual stimuli. In: IIUM Press, ISBN: 9789674181116, pp. 77-93
2011 Understanding students’ emotion while solving mathematical questions using EEG signals. In: IIUM Press, ISBN: 9789674181116, pp. 94-110