Faisal M. Kashif

I completed my Ph.D. in Electrical Engineering and Computer Science at MIT. My doctoral thesis was in the field of Biomedical and Electrical Engineering; specifically, it was about developing methods for non-invasive monitoring of intracranial pressure (ICP) and cerebrovascular autoregulation.

Doctoral thesis title:

“Modeling and Estimation for Non-invasive Monitoring of Intracranial Pressure and Cerebrovascular Autoregulation”.

My broad research interests are in model and signal analysis/design; my previous projects involved both theory and application of signal processing, dynamic systems and statistical methods.

Current Affiliations

Computational Physiology and Clinical Inference Group: Our group is part of MIT’s Research Laboratory of Electronics and we work on developing and applying models of human physiology for clinical monitoring and inference.

Fetal and Neonatal Neurology Group at Children’s Hospital, Boston

As a member of the research group at Children’s Hospital, the goal is to develop non-invasive methods for monitoring of the cerebral vasculature in the very pre-term neonates.

MIMIC II / Physionet (Bioengineering Research Partnership at MIT)

We are also part of Bioengineering Research Partnership at the Health Sciences and Technology program at MIT. Details are here.

Past Affiliations

Laboratory for Information and Decision Systems (LIDS):

I was part of the Wireless Communications and Network Sciences Laboratory and worked on the problem of nonlinear communication channel, e.g., satellite channel. Following topics summarize the nature of problems and/or solution approaches that were explored.

Markov chain Monte Carlo (MCMC) based Statistical Inference over Hidden Markov Models (HMM) [a reduced complexity solution for systems with large state-space]

Factor Graphs and Sum-Product Algorithm

Pilot Sequence based Channel Estimation for Volterra Structured Nonlinear Channel

Optimal Decision Rule for High-dimensional Constellations in Nonlinear Memoryless Channels

Paper titles:

FM Kashif, H Wymeersch, MZ Win, “Monte Carlo Equalization for Nonlinear Dispersive Satellite Channels”, IEEE Journal of Selected Areas in Communications, February 2008.

FM Kashif, G Chrisikos, MZ Win, “Detection of Higher Order Modulation in Nonlinear Fading Channels”, Report.

Master’s hesis title:

“Factor Graphs and MCMC Approaches to Iterative Equalization of Nonlinear Dispersive Channels”. View at Dspace at MIT.

Previous projects / Other research interests:

Algorithm design and development for voice over IP applications and embedded system solutions, specifically about modem, speech codec and echo-cancelation modules. Optimized PDF parser design.