Dr. Vidya Manian
Assistant Professor
Department of Electrical and Computer Engineering
University of Puerto Rico
PO Box 9042
Mayaguez, PR 00681-9042
Office: CID Bldg. 221
Phone: (787) 832 4040 x 5298, 5299
Fax: (787) 832-2825
Email: manian@ece.uprm.edu
RESEARCH
Biomedical image processing - modeling of scattering of skin, spatial/spectral based classification of skin types/gender and diseases. Lockheed Martin Project. Graduate students interested in working in this project, please contact me.
Image texture modeling - grey scale, color, multi/hyperspectral images.
Image Classification - hyperspectral/multispectral images and target detection.
Hardware implementation - algorithm modules for color/multispectral iamge processing.
Graduate Assistantship is available for graduate students who are interested in working in the above areas. Pls. contact me.
TEACHING
Fall 2006-2007
Previous courses
Fundamentals of image processing-Multidimensional signal processing INEL 6049
Introduction to Remote Sensing - inel 5995
FUNDED RESEARCH PROJECTS
- Lockheed Martin - Skin Diagnostics and Assessment, PI
Classification of skin types and diseases
- DoD - Improving algorithms for target detection in hyperspectral infrared imagery, CoPI
- NGA - A geometrical approach for the analysis of hyperspectral imagery, CoPI
- UPRM-Seed money grant-Hyperspectral texture modeling by multiple pairwise pixel interactions
- MBRS-SCORE - Seed Money Grant - Statistical Modeling and Classification for Skin Cancer Detection using Hyperspectral and Microscopic Images, PI
Graduate Students
Sol Marie Cruz - MS Electrical Engineering
Andres Alarcon - MS Electrical Engineering
Santiago Velasco - PhD CISE
EDUCATION
- Ph.D. CISE, UPRM, 2004.
- MS. EE, UPRM, 1995.
- BS. EE, AC Tech, karaikudi, India, 1990.
PROFESSIONAL EXPERIENCE
- Post doctoral associate, CenSSIS, UPRM, Jan 2005-Dec 2005.
- Visiting Scholar, Lane dept. of CSEE, West Virginia University, Morgantown, WV, Jan 2004-Dec 2004.
- Research Assistant, Precise,UPRM, Jan 2000-Dec 2003.
- Researcher, Larsip, UPRM, July 1995- Dec 1999.
- Research Assistant, ECE, UPRM, Aug. 1993-June 1995.
- Engineer, WS Industries Ltd., Chennai, India, July 1990 - Dec 1992.
SELECTED JOURNAL AND CONFERENCE PUBLICATIONS
1. V. Manian and L. O. Jimenez, "Land cover and benthic habitat classification using texture features from multispectral and hyperspectral images," SPIE Journal of Electronic Imaging, Vol. 16, No. 2, June 2007.
2. V. Manian and M. Velez-Reyes, “Support vector classification of land cover and benthic habitats from hyperspectral images.” presented at ISSSR 2006 Intl. Symposium on Spectral Sensing Research , Bar Harbor, Maine, June 2006.
2. V. Manian, L. O. Jimenez and M. Velez-Reyes, “A comparison of statistical and multiresolution texture features for improving hyperspectral image classification.” In SPIE Intl Conf. Remote Sensing, Proceedings SPIE, Belgium, Sept. 2005.
3. V. Manian and A. Ross, “Face detection using statistical and multi-resolution texture features.” Multimedia Cyberspace Journal, Special Issue on Pattern Recognition and Bioinformatics, Vol. 3, No. 3, pp. 1-9, 2005.
4. V. Manian and M. Velez-Reyes, “A boosted learning algorithm for texture classification and object detection.” In SPIE Conf. Defense & Security, Proceedings SPIE, Orlando, April 2005.
5. V. Manian and R. Vasquez, “Application of nonlinear texture dynamics for image classification.” Proceedings In SPIE Conf. Defense and Security, Proceedings SPIE, Orlando, FL, April 2004.
6. V. Manian and R. Vasquez, “Texture discrimination based on neural dynamics of visual perception.” In IEEE Joint Intl. conf. Neural Networks, Proceedings IEEE, Portland, Oregon, July 2003.
7. V. Manian and R. Vasquez, “Approaches to color and texture based image classification.” Journal of Optical Engineering, SPIE, Vol. 41, No. 7, pp. 1480-1490, July 2002.
8. V. Manian, R. Vásquez, and P. Katiyar, “Texture classification using logical operators.” IEEE Trans. on image processing, Vol. 9, No: 10, pp. 1693-1703, Oct. 2000.
9. V. Manian and R. Vásquez, “Scaled and rotated texture classification using a class of basis functions.” Journal of Pattern Recognition, Vol. 31, No. 12, pp. 1937-1948, 1998