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

  • Vedala, K., Yaylali, I., Cabrerizo, M., Goryawala, M., & Adjouadi, M. (2012). Peak detection of somatosensory evoked potentials using an integrated principal component analysis-walsh method. Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society, 29(2), 165-73. doi:10.1097/WNP.0b013e31824d96c7

  • X. You, M. Adjouadi, J. Wang, M. R. Guillen, B. Bernal, J. Sullivan, E. Donner, B. Bjornson, M. Berl and W. D. Gaillard: A decisional space for fMRI pattern separation using the principal component analysis—A comparative study of language networks in pediatric epilepsy: 28 MAR 2012, DOI: 10.1002/hbm.22069

  • Goryawala, M., Yaylali, I., Cabrerizo, M., Vedala, K., & Adjouadi, M. (2011). An effective novel patient specific Gaussian template based scheme for somatosensory evoked potential detection. 2011 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-6). IEEE. doi:10.1109/SPMB.2011.6120110

  • Mohammed Goryawala,Magno R. Guillen, Mercedes Cabrerizo, Armando Barreto, Seza Gulec, Tushar C. Barot, Rekha R. Suthar, Ruchir N. Bhatt, AnthonyMcgoron, andMalek Adjouadi: "A 3-D Liver Segmentation Method with Parallel Computing for Selective Internal Radiation Therapy ”, IEEE Transactions on Information Technology in BioMedicine, Vol. 16(1), pp. 62-69, January 2012.

  • A. Guzman, M. Goryawala, M. Adjouadi. 2012 IEEE International Conference on Emerging Signal Processing Applications: GENERATING THERMAL FACIAL SIGNATURES USING THERMAL INFRARED IMAGES: January,13,2012

  • 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.