PhD Student, Computer Science
Hello, and welcome to my webpage. I am a PhD student at the Laboratory for Networked Existence (NetXT) at Arizona State University, under the supervision of Dr. Arunabha Sen. Prior to joining ASU, I completed my Bachelor's and Master's degrees in Computer Science, from St. Xavier's College, Kolkata, India. I am an avid sports fan, with soccer and basketball being my favorite sports. I love traveling, photography and music. Check out the countries I have visited in the map below (just getting started). You can create a map of your own here. Also, check out a few of my clicks on my Instagram account (link below).
My interests lie in the domains of Graph Theory and Optimization. I am currently working on identifying sources of anomaly in complex real-world networks, utilizing the mathematical concept of Identifying Codes. A few examples would include, (i) identification of the sources of misinformation propagation in social networks, (ii) monitoring terrorist networks, (iii) Monitoring the health of critical power system equipments, etc. One key aspect premise is the accurate detection of anomalies in networks. As a result, I am currently working on the development of novel anomaly (broadly speaking) detection algorithms, by utilizing deep learning methodologies. Furthermore, as a side project, I am a part of a team, currently working on developing various analytical models to combat the Opioid epidemic by generating future heat maps of the Opioid incidences accurately.
PhD in Computer Science
Master's Degree in Computer Science
CGPA : 8.58/10.00
Bachelor's Degree in Computer Science
Currently developing novel algorithms for the unique detection of sources of anomalies in complex networks, by utilizing the mathematical concept of Identifying Codes. Examples of anomalies would include: fake news and cyber bullying on social networks, drug dealing and terrorism related activities, failures in critical infrastructure networks, etc. Additionally, my colleague and I are working with the Arizona state goverment for the development of analytical tools to predict future location of Opioid incidences.
TA for the following undergraduate courses: Software Engineering, Programming in C, C++, Scheme and Prolog, and Game Development. TA for the following graduate courses: Foundations of Algorithms and Data Mining.