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Alireza Tavakkoli, Ph.D.

Assistant Professor of Computer Science

Contact Information


  • Ph.D., University of Nevada, Reno
  • M.Sc., University of Nevada, Reno
  • B.SC., Sharif University of Technology

Research Interests

  • Virtual and Augmented Reality
  • Artificial Intelligence and Behavioral Modeling
  • Digital Gaming and Simulation
  • Computational Modeling in Visual Domain
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Alireza Tavakkoli is an Assistant Professor of Computer Science in the School of Arts and Sciences at the University of Houston-Victoria. He has a Ph.D. (2009) and a M.Sc. (2006) in Computer Science from the University of Nevada, Reno. He also received a M.Sc. and a B.Sc. in Electronics from the Department of Electrical Engineering at Sharif University of Technology, Tehran, Iran in 2004 and 2001, respectively.
Dr. Tavakkoli’s primary research interest is in Artificial Intelligence with an emphasis on Computer and Robotic Vision as well as AI for Computer Gaming. He has worked on object detection and tracking for video surveillance applications and action/intention recognition. In general He is interested in investigating the applications of basic imagery in conjunction with artificial intelligence tools to implement efficient communication frameworks for human-computer interaction for gaming purposes.

Selected Publications

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  • A. Tavakkoli (to appear in 2015). "", Developing Games and Simulation Content with Unreal Technology, CRC Press, pp. .
  • A. Tavakkoli, M. Nicolescu, G. Bebis, J. Wang (2014). "Background Learning with Support Vectors: Efficient Foreground Detection and Tracking for Automated Visual Surveillance.", Background Modeling and Foreground Detection for Video Surveillance, CRC Press, pp. .
  • R. Kelley, A. Tavakkoli, C. King, A. Ambardekar, L. Wignad, M. Nicolescu, M. Nicolescu (2014). "Intent Recognition for Human-Robot Interaction.", Plan, Activity, and Intent Recognition, Elsevier, pp. .
  • R. Kelley, A. Tavakkoli, C. King, M. Nicolescu, M. Nicolescu (2010). "Understanding Activities and Intentions for Human-Robot Interaction.", Advances in Human-Robot Interaction, In-Tech, pp. .
  • A. Tavakkoli (2009). "Novelty Detection: Approaches and Applications.", Pattern Recognition, In-Tech, pp. .
  • A. Brown, A. Tavakkoli, D. Loffredo, H. Ehsan (2014). "Interactive Level Design for iOS Assignment Delivery: A Case Study", Journal of Systemics, Cybernetics and Informatics, , pp. 27-38.
  • A. Tavakkoli, D. Loffredo (2013). "Can Human Visual Surveillance be Improved with Intent Recognition?", Journal of Systemics, Cybernetics and Informatics, , pp. 43-50.
  • M. Boyett, A. Tavakkoli, D. Sobolev (2013). "Mathematical Modeling of Competition for Ammonia Among Bacteria, Archaea and Cyanobacteria within Cyanobacterial Mats: Can Ammonia-Oxidizing Force Nitrogen Fixation?", Ocean Science Journal, , pp. 269-277.
  • R. Kelley, A. Tavakkoli, C. King, A. Ambardekar, M. Nicolescu, M. Nicolescu (2012). "Context-Based Bayesian Intent Recognition.", Transactions on Autonomous Mental Development, IEEE, pp. 215-225.
  • A. Tavakkoli, M. Nicolescu, G. Bebis, M. Nicolescu (2009). "Non-parametric Statistical Background Modeling for Efficient Foreground Region Detection.", International Journal of Machine Vision and Application, Springer, pp. 395-409.
This page has been created and maintained by Alireza Tavakkoli©. Last Modified August 2013.