Education
PhD Biomedical Engineering
My research spans across creating intelligent algorithms that can improve the chances of treating heart diseases like atrial fibrillation. Atrial fibrillation is the most common tachycardia that affects humans (about 1% of the world population). I am focused on the inverse problem of cardiology which involves predicting the hearts electrical activity from the body surface without the need for invasive techniques. Machine learning is a big part of my work.
BEng Electrical & Electronics Engineering
Since the industrial era, machines have increasingly ruled our day to day life. They have moved from being mechanical to being more electrical. In fact, we seem to search for designs that would be “intelligent”. What better way to take a deep dive than to learn to design both the hardware and software of our day to day machines. This is what I did. I am focused on designing embedded systems.
