The world today is witnessing the AI revolution like no other. It has reached everyone's phone, with large language models (LLMs) that generate text and more recently, images and videos, becoming the main carrier of this large scale mass adoption of AI. However, alongside the LLM or generative AI, there is another quieter revolution happening. This has not so much to do with generating new text, images or videos, but more to do with the analysis of existing images and videos. Object detection, classification, segmentation, automated annotation and analyses is not something that one may need in everyday life. But, it has become absolutely revolutionary in scientific research and healthcare. Extensive resources and immense efforts have also gone into the development of several deep learning algorithms for object detection and segmentation of biological image datasets. Deep learning applications in biological imaging rely on a mix of classical detection and segmentation models, each s...
I have taught 4 different courses, each many times since I joined the Institute. Although I approached teaching very skeptically and hesitantly in the beginning, I have come to enjoy portions of it, especially when I'm deep into the problem solving phase of the course. One such course that I've taught many times is the basic Quantum Mechanics (QM) for 3rd year students. I've always enjoyed problem solving lectures in this course, and it seems that the students have enjoyed it too over the years. On one occasion after teaching this course, one of the students review comments mentioned that they enjoyed this course a lot and would have benefitted even more had I also taught the Mathematical Methods (MM) and the Statistical Mechanics (SM) courses as well. These courses precede and follow QM, respectively, in their course curriculum. I think this was the ultimate compliment and I couldn't be more grateful that students recognized the effort. Although I have taught MM seve...