Karim Oweiss

Karim G. Oweiss obtained his B.S. (1993) and M.S. (1996) degrees in electrical engineering from the University of Alexandria, Egypt, and the Ph.D. degree in electrical engineering and computer science from the University of Michigan, Ann Arbor, in 2002. His Ph.D. dissertation exploited multiresolution analysis of multichannel neural recordings. He completed a postdoctoral training with the Biomedical Engineering Department at the University of Michigan, Ann Arbor in the summer of 2002. In August 2002, he joined the Department of Electrical and Computer Engineering at Michigan State University, where he is currently an Assistant Professor and Director of the Neural Systems Engineering Laboratory. His research interests include statistical signal processing, information theory, data mining, multiresolution analysis, fast DSP algorithms with primary applications to neural signal processing, computational neuroscience, and brain machine interface technology. He is a Member of the IEEE, the Society for Neuroscience and the International Society for Optical Engineering. He is also a Member of the technical committee of the IEEE Signal Processing Society, the IEEE Circuits and Systems Society, and the IEEE Engineering in Medicine and Biology Society.

Biography Updated on 16 March 2006

Articles in Scholarly Journals [Incomplete List]

  1. Identifying neuronal assemblies with local and global connectivity with scale space spectral clustering
    Neurocomputing, vol. 70, no. 10-12, pp. 1728–1734, 2007
  2. Area-Power Efficient VLSI Implementation of Multichannel DWT for Data Compression in Implantable Neuroprosthetics
    IEEE Transactions on Biomedical Circuits and Systems, vol. 1, no. 2, pp. 128–135, 2007
  3. A Scalable Wavelet Transform VLSI Architecture for Real-Time Signal Processing in High-Density Intra-Cortical Implants
    IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 54, no. 6, pp. 1266–1278, 2007
  4. Tracking Signal Subspace Invariance for Blind Separation and Classification of Nonorthogonal Sources in Correlated Noise
    EURASIP Journal on Advances in Signal Processing, vol. 2007, Article ID 37485, 20 pages, 2007
  5. A Systems Approach for Data Compression and Latency Reduction in Cortically Controlled Brain Machine Interfaces
    IEEE Transactions on Biomedical Engineering, vol. 53, no. 7, pp. 1364–1377, 2006
  6. Spike sorting: a novel shift and amplitude invariant technique
    Neurocomputing, vol. 44-46, no. 1-4, pp. 1133–1139, 2002
  7. Noise reduction in multichannel neural recordings using a new array wavelet denoising algorithm
    Neurocomputing, vol. 38-40, no. 1-4, pp. 1687–1693, 2001