Omar ALZoubi
Sydney, Australia
Research field: Computer and Information Science - Artificial Intelligence
Affective Computing, Pattern Recognition, Brain Computer Interface, Data Mining
Publications
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Journal Article (1)
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Omar AlZoub, Sidney D’Mello, R. A. Calvo Detecting Learners’ Affective States using Physiological Signals. (in press). In IEEE TRANSACTIONS ON AFFECTIVE COMPUTING.
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Book Section (2)
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P. A. Pour, S. Hussein, O. AlZoubi et al. (2010) The impact of system feedback on learners’ affective and physiological states, 264 - 274. In 10th International Conference, ITS 2010, Pittsburgh, PA, USA, June 14-18, 2010, Proceedings, Part I.
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Omar AlZoubi, Rafael Calvo, Ronald Stevens (2009) Classification of EEG for Affect Recognition: An Adaptive Approach, 52-61. In AI 2009: Advances in Artificial Intelligence.
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Conference Proceedings (5)
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Omar AlZoubi, M. S. Hussain, Sidney D’Mello et al. (2011) Affective Modeling from Multichannel Physiology: Analysis of Day Differences, 4-13. In Affective Computing and Intelligent Interaction (ACII2011).
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Rafael A. Calvo, M. S., Hussain, P. A., Pour et al. (2011) Siento: an experimental platform for behavior and psychophysiology in HCI, 307-308. In Affective Computing and Intelligent Interaction (ACII2011).
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P. A. Pour, T. Gulrez, O. AlZoubi et al. (2008) Brain-computer interface: Next generation thought controlled distributed video game development platform, 251-257. In Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On.
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O. ALZOUBI, I. KOPRINSKA, R. A. CALVO (2008) Classification of Brain-Computer Interface Data, 123-131. In Seventh Australasian Data Mining Conference (AusDM 2008).
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M. S. Hussain, O. AlZoubi, R. A. Calvo et al. Affect Detection from Multichannel Physiology during Learning Sessions with AutoTutor, 131-138. In Artificial Intelligence in Education (AIED).
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Awards and Grants
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Nov 2010"The Best Research Project for Biomedical Engineering". EIE, USYD research conversazione
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Nov 2009"The Best Research Project for Next Generation Application (Computing)". EIE, USYD research conversa
Biographical Information
Omar AlZoubi is a PhD candidate at the school of School of Electrical and Information Engineering, The University of Sydney. His research interests are in physiological data modeling for emotion detection. He has also interest in Brain Computer Interface (BCI) research using EEG signals, and the use of Data Mining techniques for building real life applications.
CV
Professional Experience
2008 - Present
PhD Candidate at School of Electrical and Information Engineering/ The University of Sydney
Sydney, Australia
Sydney, Australia
Education
2008 - Present
The Univesity of Sydney
in Sydney, Australia
PhD Candidate
PhD Candidate
Contact Information
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