I apply statistics, graphs, machine learning, information theory, probabilistic graphical models and more recent techniques such as Graph Transformers and Deep Learning to solve various problems in the cybersecurity area.

I obtained my Ph.D. in Computer Science from Louisiana State University, under the advisement of Prof. Costas Busch and Prof. S.S. Iyengar. My theoretical research focused on network design algorithms — specifically buy-at-bulk network design problems with applications to smart grids, load-balancing, cloud computing, VLSI design, and transportation logistics.

My other research interests include wireless sensor networks, large-scale & reliable distributed systems/computing, high-availability, game theory and optimization.

Currently I work on anomaly detection in complex networks - threat-detection (including insider-threats), identity, behavioral analysis, risks, causality/reasoning and other challenges in the cybersecurity space. I look for well-motivated problems where theoretical challenges abound and those that have immediate practical applications.