Amir received his M.S. (1993) and Ph.D. (1996) in Electrical and Computer Engineering from Carnegie Mellon University. His general research areas are statistical signal processing and communications. His current projects include error-resilient, scalable video compression; time-reversal, array imaging detection; genomic signal processing; and sparse, block-banded matrix technologies.    

• A. Asif, Applications of Noncausal Gauss  Markov Random Field Models in Image and Video  Processing, manuscript of 56 pages, accepted for publication in Advances  in Imaging and Electron Physics, Elsevier Science. (invited paper).
• A. Asif and M. G.  Kouras, Scalable Video Codec by Noncausal  Prediction, Cascaded Vector Quantization, and Conditional Replenishment, IEEE Transactions on Multimedia, vol.  8, no. 1, Feb. 2006, pp. 19-31.
• A. Asif and J. M. F. Moura, Block Matrices with L-Block Banded Inverse: Inversion Algorithms, IEEE Transactions on Signal Processing, vol. 53, no. 2, Feb. 2005, pp.630 - 642.  
• A. Asif,  "Fast Implementations of Kalman Bucy filter for Satellite Data Assimilation", IEEE Signal Processing Letters, vol. 11, no. 2, pp. 235-40, Feb. 2004.