You can consider me as one of those "weirdos" who suprisingly loves mathematics and I can strongly state the world itself corresponds to mathematics and nothing else. Over the course of time, amidst reading a good amount of papers, I was drawn into the exploration of the true mathematics behind various deep neural nets. Though I have a long way to go and do not have a published work in this area, I do feel this is one area that requires a lot of answers in ML/DL/AI. What I like looking into here includes learning how to prove various ML theorems, involvement of math in CV and probability and uncertainty.  

This is one of the most interesting problems to ever exist if you ask me! I have a huge liking towards the concept of autonomous agents especially autonomous vision and have the habit of constantly following up with a few trends in this field. I really would love exploring the idea of building intelligence for AV, and especially looking into the capabilities of simulators like CARLA in the current era. Another interesting topic that I would love to explore in this area is quantifying uncertainty in self driving cars.