Explore Technology

The core facility at the CATE center continues to serve as a resource infrastructure for research and education with a strong foundation in computing, information processing, and the biosciences. Funded by the National Science Foundation (NSF) since 1993, the CATE center has two major research thrusts: (1) brain research with neuroscience applications, and (2) assistive technology research with a focus on visual impairment and motor disability. In the areas of image and signal processing, our research focus continues to be in the development of techniques that are directly applicable to real-world problems just as we continue to expand their related computational and theoretical frameworks. Specific efforts are devoted to image modality co-registration, noise filtering, enhancing the application of the principal and independent component analyses, design of novel neural networks, and creating new pattern recognition paradigms.

Recent Publications

  • Mercedes Cabrerizo, Melvin Ayala, Prasanna Jayakar and Malek Adjouadi. "Classification and Medical Diagnosis of Scalp EEG using Artificial Neural Networks"International Journal of Innovative Computing, Information and Control (IJICIC) Vol.7, No.12, Page 6905-6918, December 2011.

  • J. Wang, A. Barreto, N. Rishe, J. Andrian, and M. Adjouadi, "A Fast Incremental Multilinear Principal Component Analysis Algorithm'' International Journal of Innovative Computing, Information and Control (IJICIC) Vol.7, No.8, Page 6019, August 2011.

  • M. Ayala, M. Cabrerizo, P. Jayakar, and M. Adjouadi, “Subdural EEG Classification into Seizure and Non-seizure Files Using Neural Networks in the Gamma Frequency Band”,Journal of Clinical Neurophysiology, Volume 28, Number 1, February 2011.

  • Y. Chen and M. Adjouadi, Chapter Title: Iris; in Encyclopedia of Cryptography and Security (2nd ed.), Henk C.A. van Tilborg, Sushil Jajodia, Editors-in-Chief, Springer, 2010 (to be published).

  • L. Melendez, O.Wolfson, M. Adjouadi, and N. Rishe, Chapter 5: Qualitative Analysis of Commercial Social Network Profiles, Handbook of Social Network Technologies and Applications, pp.95-113, Springer, 2010.

  • J. Wang, A. Barreto, L. Wang, Y. Chen, N. Rishe, J. Andrian, M. Adjouadi, “Multilinear Principal Component Analysis for Face Recognition with Fewer Features”, Neurocomputing, (73): 1550-1555, June 2010.

  • M. Ayala, M. Adjouadi, M. Cabrerizo, and A. Barreto, “A Windows-Based Interface for Teaching Image Processing”, Computer Applications in Engineering Education, Vol. 18 (2):213-224, June 2010.