I'm Faisel Mushtaq, a computer vision and an AI researcher. My work spans maritime intelligence, edge medical AI, and general perception problems — anywhere a model has to hold up under low compute, poor connectivity, or degraded input. I take on new domains readily; the constraints are usually more similar than the subject matter.
Based at the Center for Applied AI Systems. Previously trained in electrical engineering and machine learning.
Most of my work sits at the intersection of computer vision and constrained deployment: models that have to run on a handheld medical device with no signal, on a shoreline camera in fog, or on a satellite feed full of cloud cover. The domains I've worked in most — maritime intelligence and edge medical AI — happen to be where those constraints show up hardest, but the underlying skill set is general-purpose computer vision and applied ML, and I take on new problem areas as they come up.
I build and test against real deployment conditions rather than curated benchmarks, since that's where models actually have to work.
Filter by area, or browse everything. Each project links to a fuller write-up.
Early detection of silicosis from chest imaging on portable X-ray hardware, aimed at mining and quarry communities where specialist review is scarce.
Smartphone-camera-based urinalysis that reads standard test strips and reports results without a lab reader, calibrated for variable ambient lighting.
Classifies heart sounds from a low-cost digital stethoscope, distinguishing common murmurs from normal variation directly on the recording device.
Estimates where a vessel is likely headed, when it will arrive, and which ports it may visit after it disappears from AIS.
Restores satellite imagery degraded by cloud, haze, and rain, and detects and classifies ships directly within the same pipeline, at scale.
Illustrative comparison — drag to compare.
Estimates vessel distance from any camera in real time — no calibration, no stereo rig — while classifying the ship in the same pass.
Learns normal vessel movement patterns from historical AIS data and flags real-time deviations, loitering, and emerging route changes.