Associate Professor of Electrical and Computer Engineering
Abhijit Mahalanobis is an associate professor of electrical and computer engineering at the University of Arizona. His primary research areas are video/image processing for target detection and recognition, and computational imaging. He has over 190 journal and conference publications in this area. Mahalanobis also holds six patents, co-authored a book on pattern recognition, contributed several book chapters, and edited special issues of several journals. Abhijit completed his BS degree with Honors at the University of California, Santa Barbara in 1984. He then joined Carnegie Mellon University and received MS and Ph.D. degrees in 1985 and 1987, respectively. Before joining UArizona, Mahalanobis was an associate professor of the Center for Research in Computer Vision at the University of Central Florida and a senior fellow at Lockheed Martin in Orlando. He has also worked at Raytheon and was a faculty member at the University of Maryland.
- PhD: Carnegie Mellon University, August 1987
- MS: Carnegie Mellon University, September 1985
- BS: University of California, Santa Barbara, May 1984
Signal processing, image Pprocessing, fundamentals of optics, fourier optics, machine learning and statistical pattern recognition.
Novel imaging systems (including computational and compressive imaging), machine vision and pattern recognition systems, infra-red and RF automatic target recognition.
Textbooks/Most Significant Publications
- A. Mahalanobis, M. Neifeld, "Optimizing Measurements for Feature Specific Compressive Sensing," Applied Optics, Vol. 53 Issue 26, pp.6108-6118 (2014)
- A. Mahalanobis, R. Shilling, R. Murphy, R. Muise, "Recent results of medium wave infrared compressive sensing," Applied Optics Vol. 53, Iss. 34, pp. 8060–8070 (2014)
- A. Mahalanobis, B.V.K. Vijaya Kumar, and D. Casasent, "Minimum average correlation energy filters", Applied Optics , Vol. 26, No. 17, pp. 3633‑3640, September 1987
- A. Mahalanobis, B.V.K. Vijaya Kumar, S. Song, S.R.F. Sims, J. Epperson, "Unconstrained Correlation Filters", Applied Optics, Vol. 33, No. 17, pp 3751-3759, 1994
- A. Mahalanobis, R. Muise and S. Roy, “Efficient target detection using an adaptive compressive imager,” in IEEE Transactions on Aerospace and Electronic Systems, vol. 50, no. 4, pp. 2528-2540, October 2014
- A. Mahalanobis, and R. Muise “Object Specific Image Reconstruction using a Compressive Sensing Architecture for Application in Surveillance Systems”, IEEE Transactions on Aerospace and Electronic Systems (AES), Volume: 45, Issue: 3, 1167-1180, July 2009
- A. Mahalanobis, R.Muise, R. Stanfill, “Design and application of quadratic correlation filters for target detection,” IEEE Transactions on AES, Vol. 40, Issue 3, pp. 837-850, July 2004
- A. Rodriguez, V.N. Boddeti, B. V. K. Vijaya Kumar, and A. Mahalanobis, “Maximum Margin Correlation Filter: A New Approach for Localization and Classification,” IEEE Transactions on Image Processing 22(2): 631-643 (2013)
- Book on Correlation Pattern Recognition, (with B.V.K. Vijaya Kumar and R. Juday), Cambridge University Press, 2005
- Book Chapter, “Information Processing across Distributed and Netted Systems for Security and Surveillance,” Optical Imaging, Photonics, Sensors, and Systems for Homeland Security edited by Bahram Javidi, Springer Verlag, 2004.
- Book Chapter, “Correlation Pattern Recognition: An optimum Approach,” in Image Recognition and Classification: Algorithms, Systems, and Applications, Marcel Dekker, New York, Editor: Bahram Javidi, pp. 295-321, 2002.
- Book Chapter “Data Compression and Correlation Filtering: A Seamless Approach to Pattern Recognition,” in Smart Imaging Systems, Editor: Bahram Javidi, SPIE PRESS Vol. PM91 * pp. 111-131, August 2001
- Muise, R., Mahalanobis, A. (2011). Integrated Sensing and Processing for Hyperspectral Imagery. In: Prasad, S., Bruce, L., Chanussot, J. (eds) Optical Remote Sensing. Augmented Vision and Reality, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14212-3_4