Dean (College of Science and Engineering)
Research Area: Communications, Signal Processing, and Networking; Biomedical and Biological Computational Methods, Devices, and System
|105 Walter Library|
Area of Expertise:
Signal and image processing, and their applications. Wireless communications.
Ph.D., EE, 1974, Purdue University, West Lafayette, IN, United States
M.S., EE, 1970, University of California, Berkeley, CA, United States
B.S., EE, 1969, Purdue University, West Lafayette, IN, United States
Fellow of IEEE and AAAS
Society, and Meritorious Service Awards, IEEE Signal Processing Society
Outstanding Electrical and Computer Engineer Award, Purdue University
My research is primarily in the areas of statistical signal processing, communications, and image processing. My students and I are especially interested in problems of wireless communications using multiple antennas, sensor array signal processing, image enhancement and restoration.
An example of our work in signal processing is the development of algorithms for antenna arrays for communication and accurate mobile localization. Another example is the use of statistical models and signal processing approaches for genomic data analysis. In the area of wireless communications, we have worked on cooperative and collaborative transmission systems. We have also developed parametric statistical models for fading wireless channels, and space-time interference-canceling receivers for CDMA systems.
Our research in image processing has concerned the development of image restoration and enhancement algorithms that are based on special partial differential equations. We have also been interested in medical image processing, particularly in the area of image reconstruction and tomography.
I. A. M. Balapuwaduge, F. Y. Li, A. Rajanna and M. Kaveh, “Channel Occupancy-Based Dynamic Spectrum Leasing in Multichannel CRNs: Strategies and Performance Evaluation,” in IEEE Transactions on Communications, vol. 64, no. 3, pp. 1313-1328, March 2016.
C. Y. Hung and M. Kaveh, “Super-resolution DOA estimation via continuous group sparsity in the covariance domain,” 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, 2016, pp. 3056-3060.
A. Rajanna, I. Bergel and M. Kaveh, “Performance Analysis of Rateless Codes in an ALOHA Wireless Ad Hoc Network,” in IEEE Transactions on Wireless Communications, vol. 14, no. 11, pp. 6216-6229, Nov. 2015.
C. Y. Hung, J. Zheng and M. Kaveh, “Directions of arrival estimation by learning sparse dictionaries for sparse spatial spectra,” 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), A Coruna, 2014, pp. 377-380.
J. Zheng, and M. Kaveh, “Sparse Spatial Spectral Estimation: A Covariance Fitting Algorithm, Performance, and Regularization,” in IEEE Transactions on Signal Processing, vol. 61, no. 11, pp. 2767-2777, June 2013.
M. Nezafat, M. Kaveh, and H. Tsuji, “Indoor localization using a spatial channel signature database,” IEEE Antennas and Wireless Propagation Letters, vol.5, no.1, pp. 406-409, December 2006.
P.A. Anghel, G. Leus, and M. Kaveh, “Distributed space-time cooperative systems with regenerative relays,” IEEE Transactions on Wireless Communications, vol. 5, no.11, pp. 3130-3141, November 2006.
Hossein Zare, Arkady B. Khodursky and Mostafa Kaveh, “Gene clustering and gene function prediction using multiple sources of data.” IEEE International Workshop on Genomic Signal Processing and Statistics, 2006. May 28-30, 2006, College Station, Texas.