Farid Parvini, Ph.D.

• Education:

  • Ph.D in Computer Science - University of Southern California (USC) , USA (2009)

  • M.S. in Computer Science - University of Southern California (USC) , USA (2005)

  • M.S. in Biomechanical Engineering (cum laude) - Sharif University of Technology, Iran (1996) 

  • B.S. in Mechanical Engineering (cum laude) - Tehran University, Iran (1993)

  • B.S. in Mathematics with emphasize on Computer Science, Azad University, Iran (1989)

• Research Interests: Haptic Data Analysis; Data Mining

• Thesis title: An algorithmic approach for static and dynamic gesture recognition

• Teaching :

  • CS 585 - Fall 2009

• Employment : CEO and co-founder of Solution21 Inc

• Email: fparvini at usc dot edu

• Publications:

  • Parvini, F., and McLeod, D.,  "Feature Subset Selection Utilizing BioMechanical Characteristics for Hand Gesture Recognition", Proceedings of International Conference on BioMedical Engineering and Informatics ,Tianjin, China, October 2009 (to appear).
  • Parvini, F., and McLeod, D., "An Approach to Static and Dynamic Glove-Based Gesture Recognition", Lecture Notes in Computer Science and Artificial Intelligence, Springer, Berlin, Germany, 2009 (to appear).

  • §Parvini, F., and McLeod, D., Shahabi, C., Navai, B., Zali, B., and Ghandeharizadeh. S., "An Approach to Glove-Based Gesture Recognition", Proceedings of HCI International 2009, San Diego CA, July 2009.

  • §Parvini F., and Shahabi, C. “An algorithmic approach for static and dynamic gesture recognition utilizing  mechanical and biomechanical characteristics” , International Journal of Bioinformatics Research and Applications, Vol. 3, No. 1, 2007

  • §Parvini, F. and Shahabi, C.  “UTGeR : A User-Independent Technique for Gesture Recognition”, 11th International Conference on Human-Computer  Interaction,  Las Vegas, July 2005

  • §Farid Parvini and Cyrus Shahabi, “Utilizing Bio-Mechanical Characteristics For User-Independent Gesture  Recognition”, International Workshop on Biomedical Data Engineering , Tokyo, Japan, April 2005

  • §Sharifzadeh, M. ,  Shahabi, C. ,  Navai, B.,  Parvini, F.  and Rizzo, A., “AIDA: an Adaptive Immersive Data Analyzer”, The 30th International Conference on Very Large Data Bases, Toronto, Canada, September, 2004

Last Update : 8/25/09