আমার হোমপেজে আপনাকে স্বাগত জানাই।
আমার résumé দেখার জন্য ক্লিক করুন এখানে.
My research primarily revolves around the interface of mathematics and computer science. More specifically, my research is motivated by theoretical problems arising in topological data analysis (TDA), computational and applied algebraic topology, and computational geometry. I am also interested to solve real-life problems using tools from algebraic topology and geometry. My research interest also extends to applying TDA to other fields of science and developing computational libraries and software.
Download my TEACHING STATEMENT here. List of some of the courses I taught:
I had been a big fan of
quite some time. Who wouldn't be when it comes to presenting slides full of
math symbols? Although the math looked fancy and the audience was happy,
the $\LaTeX$-based framework had also disappointed me quite
often. I found the framework too restrictive to customize; my slides looked
exactly like others'!
Features, that were lacking in Beamer during the time I broke up with it, were shining in RevealJS. Since then, I have been using it, customizing it, and relishing it.
List of my talks and presentations:
The Gromov-Hausdorff distance between any two metric spaces was first introduced by M. Gromov in the context of Riemannian manifolds. This distance measure has recently received an increasing attention from researchers in the field of topological data analysis. In applications, shapes are modeled as abstract metric spaces, and the Gromov-Hausdorff distance has been shown to provide a robust and natural framework for shape comparison. In this talk, we will introduce the notion and address the difficulties in computing the distance between two Euclidean point-clouds. In the light of our recent findings, we will also describe an O(n log n)-time approximation algorithm for Gromov-Hausdorff distance on the real line with an approximation factor of $5/4$.LINK
Most of the modern technologies at our service rely on 'shapes' in some way or other. Be it the Google Maps showing you the fastest route to your destination eluding a crash or the 3D printer on your desk creating an exact replica of a relic; shapes are being repeatedly sampled, reconstructed, and compared by intelligent machines. With the advent of modern sampling technologies, shape reconstruction and comparison techniques have matured profoundly over the last decade.LINK