About Me
I am a fifth year graduate student in the Machine Learning Department at CMU. My advisor is Prof. Andrew W. Moore.
I was an undergraduate at the Computer Science and Engineering Department in Indian Institute of Technology, Kharagpur, where I spent four years. During my undergrad years I also worked with Prof. Charles Isbell as a summer intern in Georgia Tech. I grew up in Calcutta, and my native language is Bengali.
I
work on developing efficient algorithms for large-scale machine
learning problems. My current research focus is on designing fast
random-walk based algorithms for ranking in very large databases.
Random walk-based proximity measures are widely used to capture
contextual similarity in graphs. Although random
walks in graphs is a very well investigated area in Mathematics,
designing fast and memory efficient algorithms for computing these
measures in very large databases is still a challenge. My current
research is aimed at analyzing theoretical properties of different
proximity measures arising from random walks, as well as use them to
create fast algorithms.