Name:Kadayam S. Thyagarajan
Department: Electrical & Computer Engineering
Phone: (619) 594-
Office: E-
Email: thyag@jyoti.sdsu.edu


EDUCATION:

D.Eng ( Electrical Engineering) Concordia University, Montreal, Canada
M.Tech. (Electrical Engineering) I.I.T. Kanpur, India
B.E. (Electronics & Telecommunications) Madras University, India


COURSES TAUGHT

EE 458 Communication Systems I
EE 558 Communication Systems II
EE 558L Communication & DSP Laboratory
EE 657 Digital Image Processing


RESEARCH INTERESTS:

Digital signal and image processing with special emphasis in image compression, classification, medical imaging; biomedical signal processing. Developed video compression algorithms for vedeoconferencing for internet applications.

RECENT RESEARCH PUBLICATIONS:

1. " A Maximum Likelihood Approach to Image Texture and Acoustic Signal Classification," submitted to IEEE Trans. PAMI, December 1996, (coauthored with Tom Nguyen and Charles Persons)

2. "A Strategy for Satellite Data Archival: Low Noise Block Data Compression with Application to AVHRR Satellite Images," to be submitted to IEEE Tran. Image Process. January 1997, (coauthored with George bendak, V. Ramanathan, and Erwin Boer).

3. " Data Compression in Image Processing based on Wavelet Transform Neural Networks," to be presented at CWC ICIA'97, July 1997, (coauthore with Huanglin Zeng).

4. " A fast Learning Algorithm for Solving Systems of Linear Equations and Related Problems," Presented at the ASME Intl. Conf. on Info. Process. Method. and Applns., 1994, (coauthored with Huanglin Zeng)

5. "Application of Rough Sets, Neural Networks & ML for texture Classification Based on SVD," presented at the 3rd Intl. Workshop on Rough Sets and Soft Computing, San Jose, 1994, (coauthored with Tom Nguyen, Roman Swinyarski, et al)

6. "Variable rate Self Organizing Neural Networks for Video Compression," Asilomar Conf. on Signals, Systems and Computers, 1994, (coauthored with D. Erickson)

7. "A Maximum Likelihood Approach to Texture Classification," ICIP94, (coauthored with Tom Nguyen and Charles Persons).

REASONS TO BE AT SDSU:

I seem to have a flavor for teaching. Students seem to like my lectures for clarity and depth. I like to explain in simple terms the main ideas to the students so that they get the bigger picture. Moreover, I like to learn new things. This is possible only in the academic field. I like the academic freedom in that I can devote myself to doing research involving graduate students.



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