Current research on non-invasive intracranial pressure estimation, the senior thesis it grew out of, and earlier work on clinical-data ML.
An open-data quantitative study of the civilian cost of counter-drone (counter-UAS) responses over Nairobi. It models how radio-frequency jamming and kinetic interceptors spill far beyond their intended target — degrading …
Intracranial pressure is one of the more consequential numbers in a neurocritical-care unit, and getting it usually means a catheter through the skull. The work asks a simple question: how …
Supervisor: Prof. Zubaer Ibna Mannan, Smart Computing, Kyungdong University
Predicting heart defects from chest X-rays alongside the temporal metadata that comes with them, rather than treating each frame in isolation. A CNN trained over the CheXchoNet release reached AUC …
Supervisor: Prof Baseem Al Athwari, Smart Computing, Kyungdong University
First real ML research project. A binary classifier over the Cleveland Clinic dataset, predicting cardiovascular disease from a small set of patient features. The interesting work was less the model …