Faisal Kashif received his BSc in Electronic Engineering from the Ghulam Ishaq Khan Institute, Pakistan, and both SM and PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA. Prior to commencing his graduate education at MIT, Faisal gained considerable research experience in industry in Pakistan and the United States. Faisal’s research interests include system modeling and model analysis, signal and information theory, and algorithm development. After his Masters in communication systems/information theory (his thesis involved designing iterative equalizers for nonlinear channels) in the Laboratory for Information and Decision Systems at MIT, he became interested in the cardiovascular and cerebrovascular modeling and estimation. His doctoral thesis developed model-based estimation methods for noninvasive monitoring of intracranial pressure and cerebrovascular autoregulation. For his work in this area, Faisal received a two-year MIT/CIMIT Medical Engineering.
Fellowship for the years 2008 and 2009 and was recognized with the Most Innovative Research award at the 2009 CIMIT Innovation Congress, and the 2011 Helen Carr Peake Research Prize of MIT’s Research Laboratory of Electronics. Faisal is continuing his involvement with the Computational Physiology and Clinical Inference Group as a postdoctoral associate.