Hamwira Yaacob obtained his Bachelor of Science in Computer Engineering from the University of the Pacific, California, USA in 1999 and Master of Science (Intelligent Systems) from University Utara Malaysia in which he was awarded him a Vice Chancellor's Gold Medal Award. Recently, a doctoral degree was conferred on him by the IIUM for his thesis "A Novel Emotion Profiling based on CMAC-Based Computational Models of Affects".
He started his career as a programmer at PERNEC Multimedia R&D Sdn Bhd before joining the IIUM as an Assistant Lecturer in 2004. At IIUM, he has taught Java Programming, Object-Oriented Programming and Discrete Mathematics and has been the industrial attachment Coordinator.
His current research interests include machine learning, neurocomputing, affective computing, big data analytics in which a number of conference papers, journal articles and book chapters have been authored and several research grants have secured.

• ICT ~ Information, Computer And Communications Technology (ICT) ~ Artificial Intelligence ~ Machine Learning - Neuro-Computing; EEG
• ICT ~ Information, Computer And Communications Technology (ICT) ~ Artificial Intelligence ~ Neural, Evolutionary and Fuzzy Computation - Ongoing research on neural inspired computation models (ie: ANN, CMAC..)
• ICT ~ Information, Computer And Communications Technology (ICT) ~ Artificial Intelligence ~ Soft Computing - Ongoing research involves supervised machine learning tasks.

DATA STRUCTURE & ALGORITHM	2015/2016
DATA STRUCTURES AND ALGORITHMS I	2018/2019 2017/2018 2016/2017
DISCRETE MATHEMATICS	2015/2016 2014/2015
FINAL YEAR PROJECT	2018/2019 2017/2018
FINAL YEAR PROJECT I	2019/2020 2017/2018 2018/2019 2020/2021
FINAL YEAR PROJECT II	2018/2019 2019/2020 2020/2021 2021/2022
INDUSTRIAL ATTACHMENT	2014/2015 2015/2016 2016/2017 2017/2018 2006/2007
JAVA PROGRAMMING	2007/2008 2008/2009 2006/2007
MATHEMATICS FOR COMPUTING I	2021/2022 2018/2019 2019/2020 2016/2017 2015/2016

Completed

2017 - 2020	Development of Malay Online Virtual Integrated Corpus (MOVIC) for Sentiment Analysis using Web-scraping
2014 - 2018	Neuro-Navigational Computational Model of Affect for Profiling Maritime Pilot
2013 - 2016	Visualization of Emotional Dynamic on Brain Topology using Neural Inspired Computational Model
2013 - 2016	A Swarm Cognition Inspired Model for the Unsupervised Learning of Morphology
2007 - 2009	IIUM IT Graduates Employment Status, Perception of Undergraduate Academic Programmes & Technical Skill Requirements for IT Graduates

On-Going

2020 - Present	Extraction of Real-time Features for Mental Fatigue Detection During Virtual Learning Activities through Brain Computer Interface (BCI)
2020 - Present	R.E.A.D. Program: Training Teachers to Empower Youth
2019 - Present	Analysis of Video Game Design Styles on Learning Aptitude Using EEG
2016 - Present	Identifying and Profiling children with Learning disabilities using Algorithmic Computational Neuro-Physiological (CNP) Model
2016 - Present	Development of an Evolving Neuro-Cognitive Computational Model Based on Event-Related Potentials for Healthy Lifestyle Profiling
2014 - Present	Brain Inspired Computational Modelling of Tugboat Master based on User Experience and Situation Awareness
2014 - Present	Multimedia Intervention Model for Children with ADHD using Neurofeedback Therapy

Article

2021	Comparison between Butterworth Bandpass and Stationary Wavelet Transform Filter for electroencephalography signal. IOP Conference Series: Materials Science and Engineering, 1077 (1) pp.
2021	Development of Unified Neuro-Affective Classification Tool (UNACT). IOP Conference Series: Materials Science and Engineering, 1077 (1) pp.
2021	EEG neurofeedback training among adult with attention deficit: a review article. IOP Conference Series: Materials Science and Engineering, 1077 (1) pp. 1-11
2021	Traces of the brain's learning potential present within “uneducational” video games. IOP Conf. Series: Materials Science and Engineering, 1077 (1) pp.
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
2019	Emotional profiling through supervised machine learning of interrupted EEG interpolation. International Journal of Advanced Computer Research, 9 (43) pp. 242-251
2017	Affective state classification through CMAC-based model of affects (CCMA) using SVM. Advanced Science Letters, 23 (11) pp. 11369-11373
2017	Investment decisions based on EEG emotion recognition. Advanced Science Letters, 23 (11) pp. 11345-11349
2017	Perceiving stress on affective state based on features from EEG. International Journal on Perceptive and Cognitive Computing (IJPCC), 3 (2) pp. 7-14
2016	Evaluation of feature extraction and classification techniques for EEG-based subject identification. Jurnal Teknologi, 78 (9) pp. 41-48
2015	CMAC-Based Computational Model of Affects (CCMA) from self-organizing feature mapping weights for classification of emotion using EEG signals. International Journal of Computers and Their Applications, 22 (1) pp. 31-42
2015	Computational modeling of mood from sequence of emotions. Advanced Science Letters, 21 (10) pp. 2997-3001
2015	Emotion and mood recognition in response to video . Journal of Mobile Multimedia, 11 (3&4) pp. 296-312
2015	Recognition of emotions in video clips: the self-assessment manikin validation . Telkomnika (Telecommunication Computing Electronics and Control), 13 (4) pp. 1343-1351

Conference or Workshop Item

2019	Design and development of facial recognitionbased library management system (FRLMS). In: "4th International Conference on Computing, Engineering, and Design, ICCED 2018",
2018	Malay Online Virtual Integrated Corpus (MOVIC): a systematic review. In: 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M),
2018	Malay online virtual integrated corpus (MOVIC): A systematic review. In: 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M),
2018	Sentiment analysis for Malay language: systematic literature review. In: 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M),
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	Statistical approach for a complex emotion recognition based on EEG features. In: 2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2015),
2015	Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm. In: Fourth International Neural Network Society Symposia Series (INNS-CIIS 2014),
2015	Computational model of affective states profiling using commercial 14-channel wireless EEG. In: 28th International Conference on Computer Applications in Industry and Engineering,
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,
2014	CMAC-based computational model of affects (CCMA) for profiling emotion from EEG signals. In: 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M 2014),
2014	Subject-dependent and subject-independent emotional classification of CMAC-based features using EFuNN. In: 27th International Conference on Computer Applications in Industry and Engineering,
2014	Systematic review of computational modeling of mood and emotion. In: 2014 The 5th International Conference on Information & Communication Technology for the Muslim World (ICT4M 2014),
2013	Brain Topographic Mapping of Emotions using Computational Cerebellum. In: The Tenth International Conference on Electronics Computer and Computation (ICECCO 2013),
2013	Classification of EEG signals using MLP based on categorical and dimensional perceptions of emotions.. In: The 4th International Conference on Information & Communication Technology for the Muslim World (ICT4M),
2013	Extracting features using computational cerebellar model for emotion classification. In: 2013 International Conference on Advanced Computer Science Applications and Technologies (ACSAT),
2012	EEG affect analysis based on KDE and MFCC. In: The ISCA 2nd International Conference on Advanced Computing and Communication (ISCA-ACC-2012),
2012	EEG source imaging analysis of affect using sLoreta. In: The ISCA 2nd International Conference on Advanced Computing and Communication (ACC-2012),
2012	Two dimensional affective state distribution of the brain under emotion stimuli. In: 34th Annual International Conference of the IEEE EMBS,

Book

2017	A novel emotion profiling based on Cmac-based computational models of affects. IIUM Press, International Islamic University Malaysia, ISBN: 978-967-418-681-4

Book Section

2015	Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm. In: Switzerland, ISBN: 978-3-319-13152-8, pp. 51-60
2011	Viewing emotions from categorical and dimensional perspectives. In: IIUM Press, ISBN: 9789674181116, pp. 1-13
2011	Viewing emotions from categorical and dimensional perspectives. In: IIUM Press, ISBN: 9789674181116, pp. 1-13