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Recent News

Program Rankings
4/28/2014

UHV Digital Gaming and Simulation program is ranked #6 in Game Design and Development in the Southwest, and #45 Nationally, by Animation Career Review. Find our regional ranking at
Top 15 Game Design Schools
and
Top 75 Game Design Schools.
Congratulations Faculty and Students!!!!!!


Ready, Set, MoCap!
9/14/2013

We are another step closer to hosting our fantastic motion capture studio on campus.


Game Cultures Study
08/26/2013

We are registering participants for our Game Cultures Study. If you are interested in playing the game "The Lord of The Rings Online" and helping us with our study please enroll by clicking on this link .



Publications


Books

  1. A. Tavakkoli. (to appear in 2015). Developing Games and Simulation Content with Unreal Technology, CRC Press.

Book Chapters

  1. A. Tavakkoli, M. Nicolescu, G. Bebis, J. Wang. (2014). "Background Learning with Support Vectors: Efficient Foreground Detection and Tracking for Automated Visual Surveillance.", in Background Modeling and Foreground Detection for Video Surveillance, CRC Press.
  2. R. Kelley, A. Tavakkoli, C. King, A. Ambardekar, L. Wignad, M. Nicolescu, M. Nicolescu. (2014). "Intent Recognition for Human-Robot Interaction.", in Plan, Activity, and Intent Recognition, Elsevier.
  3. R. Kelley, A. Tavakkoli, C. King, M. Nicolescu, M. Nicolescu. (2010). "Understanding Activities and Intentions for Human-Robot Interaction.", in Advances in Human-Robot Interaction, In-Tech.
  4. A. Tavakkoli. (2009). "Novelty Detection: Approaches and Applications.", in Pattern Recognition, In-Tech.
  5. H. Guo, A. Rangarajan and S. Joshi. (2006). " Diffeomorphic Point Matching.", in The Handbook of Mathematical Models of Computer Vision, Springer.

Journal Papers

  1. 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, 12(1), pp. 27-38.
  2. A. Tavakkoli, D. Loffredo. (2013). "Can Human Visual Surveillance be Improved with Intent Recognition?", Journal of Systemics, Cybernetics and Informatics, 11(1), pp. 43-50.
  3. R. Kelley, A. Tavakkoli, C. King, A. Ambardekar, M. Nicolescu, M. Nicolescu. (2012). "Context-Based Bayesian Intent Recognition.", IEEE Transactions on Autonomous Mental Development, 4(3), pp. 215-225.
  4. A. Tavakkoli, M. Nicolescu, G. Bebis, M. Nicolescu. (2009). "Non-parametric Statistical Background Modeling for Efficient Foreground Region Detection.", Springer International Journal of Machine Vision and Application, 20(6), pp. 395-409.
  5. A. Tavakkoli, M. Nicolescu, G. Bebis, M. Nicolescu. (2008). "A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds.", World Scientific International Journal of Artificial Intelligence Tools, 17(4), pp. 635-658.
  6. R. Kelley, C. King, A. Tavakkoli, M. Nicolescu, M. Nicolescu, G. Bebis. (2008). "An Architecture for Understanding Intent using Novel Hidden Markov Formulation.", World Scientific International Journal of Humanoid Robotics (Special Issue on Cognitive Humanoid Robotics), 5(2), pp. 243-264.
  7. H. Guo, M. Mehrubeoglu. (2012). "Analysis of Solar Panel Efficiency through Computation and Simulation.", International Journal of Modern Engineering, 12(2), pp. 51-58.
  8. H. Guo, A. Rangarajan. (2010). "Diffeomorphic Point Matching with Applications in Biomedical Image Registration.", International Journal of Tomography and Statistics, 15(F.10), pp. 42-57.
  9. H. Krishnappa, H. Guo. (2008). "Fingerprint Verification Using Mutual Information.", Journal of Computing Sciences in Colleges, 23(6), pp. 15-22.

Conference Papers

  1. A. Tavakkoli, D. Loffredo, M. Ward Sr. (2014). "Lessons from Game Studies to Enhance Gamification in Education.",(Best Paper) Proceedings of the 18th World Multiconference on Systemics, Cybernetics and Informatics, Orlando (FL).
  2. A. Brown, A. Tavakkoli, D. Loffredo, H. Ehsan. (2013). "Integrating Interactive Level Design for iOS Assignment Delivery: Engaging Students with Technology.",(Best Paper) Proceedings of the 17th World Multiconference on Systemics, Cybernetics and Informatics, Orlando (FL).
  3. K. Akintola, A. Tavakkoli. (2012). "A Novel Gait Recognition System Based on Hidden Markov Models.", Proceedings of the 8th International Symposium on Visual Computing, Crete (Greece).
  4. K. Akintola, A. Tavakkoli. (2011). "Robust Foreground Detection in Videos using Adaptive Color Histogram Thresholding and Shadow Removal.", Proceedings of the 7th International Symposium on Visual Computing, Las Vegad (NV).
  5. A. Tavakkoli, D. Loffredo. (2011). "Efficient Video Surveillance with Intent Recognition.",(Best Paper) Proceedings of the 15th World Multiconference on Systemics, Cybernetics and Informatics, Orlando (FL).
  6. A. Tavakkoli, M. Nicolescu, G. Bebis. (2010). "A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos.", Proceedings of the 6th International Symposium on Visual Computing, Las Vegas (NV).
  7. A. Ambardekar, A. Tavakkoli, M. Nicolescu, M. Nicolescu. (2010). "A Developmental Framework for Visual Learning in Robotics.", Proceedings of the 14th International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas (NV).
  8. R. Kelley, A. Tavakkoli, C. King, A. Ambardekar, M. Nicolescu, M. Nicolescu. (2010). "Integrating Context into Intent Recognition Systems.", Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics, Maderia (Portugal).
  9. G. Amayeh, A. Tavakkoli, G. Bebis. (2009). "Accurate and Efficient Computation of Gabor Features in Real-time Applications.", Proceedings of the 5th International Symposium on Visual Computing, Las Vegas (NV).
  10. A. Tavakkoli, M. Nicolescu, M. Nicolescu, G. Bebis. (2008). "Efficient Background Modeling Through Incremental Support Vector Data Description.", Proceedings of the 19th International Conference on Pattern Recognition, Tampa (FL).
  11. F. Scalzo, G. Bebis, M. Nicolescu, L. Loss, A. Tavakkoli. (2008). "Feature Fusion Hierarchies for Gender Classification.", Proceedings of the 19th International Conference on Pattern Recognition, Tampa (FL).
  12. A. Tavakkoli, R. Kelley, C. King, M. Nicolescu, M. Nicolescu, G. Bebis. (2008). "A Visual Tracking Framework for Intent Recognition in Videos.", Proceedings of the 4th International Symposium on Visual Computing, Las Vegas (NV).
  13. A. Tavakkoli, M. Nicolescu, G. Bebis, M. Nicolescu. (2008). "Incremental SVDD Training: Improving Efficiency of Background Modeling.", Proceedings of the IASTED Signal and Image Processing Conference, Kona (HI).
  14. R. Kelley, A. Tavakkoli, C. King, M. Nicolescu, M. Nicolescu, G. Bebis. (2008). "Understanding Human Intentions via Hidden Markov Models in Autonomous Mobile Robots.", Proceedings of the 3rd ACM/IEEE International Conference on Human-Robot Interaction, Amsterdam (Netherlands).
  15. A. Tavakkoli, A. Ambardekar, M. Nicolescu, S. Louis. (2007). "A Genetic Approach to Training Support Vector Dada Descriptors for Background Modeling in Video Data.", Proceedings of the 3rd International Symposium on Visual Computing, Lake Tahoe (NV).
  16. A. Tavakkoli, R. Kelley, M. Nicolescu, M. Nicolescu, G. Bebis. (2007). "A Vision-Based Architecture for Intent Recognition.", Proceedings of the 3rd International Symposium on Visual Computing, Lake Tahoe (NV).
  17. G. Amayeh, S. Kasaei, G. Bebis, A. Tavakkoli, K. Veropoulos. (2007). "Improvements of Zernike Moment Descriptors on Affine Transformed Shapes.", Proceedings of the International Symposium on Signal Processing and its Applications, Sharjeh (UAE).
  18. A. Tavakkoli, M. Nicolescu, G. Bebis. (2006). "A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds.", Proceedings of the 2nd International Symposium on Visual Computing, Lake Tahoe (NV).
  19. A. Tavakkoli, M. Nicolescu, G. Bebis. (2006). "Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds.", Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong (China).
  20. A. Tavakkoli, M. Nicolescu, G. Bebis. (2006). "An Adaptive Recursive Learning Technique for Robust Foreground Object Detection.", Proceedings of the International Workshop on Statistical Methods in Multi-image and Video Processing (in ECCV), Graz (Austria).
  21. A. Tavakkoli, M. Nicolescu, G. Bebis. (2006). "Automatic Statistical Object Detection for Visual Surveillance.", Proceedings of the the IEEE Southwest Symposium on Image Analysis and Interpretation, Denver (CO).
  22. A. Tavakkoli, M. Nicolescu, G. Bebis. (2005). "Automatic Robust Background Modeling Using Multivariate Non-Parametric Kernel Density Estimation for Visual Surveillance.", Proceedings of the 1st International Symposium on Visual Computing, Lake Tahoe (NV).
  23. A. Tavakkoli, G. Amayeh, S. Kasaei. (2004). "A Fast VOP Extraction Technique Based on Wavelet and Watershed Segmentation.", Proceedings of the 12th Iranian Conference on Electrical Engineering, Mashhad (Iran).
  24. A. Tavakkoli, S. Kasaei, G. Amayeh. (2004). "A Fast and Efficient Video Object Plane Extraction Method based on Watershed Segmentation.", Proceedings of the International Workshop on Computer Vision, Tehran (Iran).
  25. G. Amayeh, S. Kasaei, A. Tavakkoli. (2004). "A modified algorithm to obtain translation, rotation and scale invariant Zernike moment shape descriptors.", Proceedings of the International Workshop on Computer Vision, Tehran (Iran).
This page has been created and maintained by Alireza Tavakkoli©. Last Modified August 2013.