Karim G. Oweiss received his Ph.D. degree (2002) in Electrical Engineering and Computer Science from the University of Michigan (UM), Ann Arbor. He is currently a Pre-eminent Professor of Electrical and Computer Engineering, Biomedical Engineering (Hebert Wertheim College of Engineering) and Neuroscience (McKnight Brain Institute) at the University of Florida. He is a senior member of the IEEE. He received the excellence in Neural Engineering award from NSF in 2001, and is the editor of the book: Statistical Signal Processing for Neuroscience and Neurotechnology (2010). His research interests are in the study the neural mechanisms of sensorimotor integration and in the engineering clinically viable brain machine interfaces seeking to restore, augment, or repair damaged neurological function.
- P. Justin Rossi, …, K. Oweiss, et al. (2016) “The Third Annual Deep Brain Stimulation Think Tank: A Review of Emerging Issues and Technologies”, Frontiers in Neuroscience, Vol 10, doi: 10.3389/fnins.2016.00034
- K. Oweiss, I Badreldin, (invited review) (2015) “Neuroplasticity subserving the operation of Brain machine Interfaces,” Journal of Neurobiology of Disease
- S. Eldawlatly, K. Oweiss, (2014) “Temporal precision in population – but not individual neuron – dynamics reveals rapid experience-dependent plasticity in the rat barrel cortex” Frontiers in Computational Neuroscience, Vol 8, doi: 10.3389/fncom.2014.00155
- A. Eleryan, M. Vaidya, J. Southerland, I. Badreldin, K. Balasubramanian, A. Fagg, N. Hatsopoulos, and K. Oweiss (2014) “Tracking Single Units in Chronic Recordings in the Macaque Motor Cortex for Brain Machine Interface Applications”, Frontiers in Neural Engineering 7:23. doi:10.3389/fneng.2014.00023
- I. Badreldin, K. Oweiss, (2014) “Neural Decoding”, in Springer Encyclopedia of Computational Neuroscience(Dieter Jaeger & Ranu Jung, Eds), Springer Verlag