I am generally interested in effective cyber-threat detection using machine learning techniques. Currently, I am working on investigating robust and effective detectors to protect large scale networks with information sharing across organizations. I have worked on large-scale malware detection systems, specifically focusing on self-propagating malware.
I have been a Research Intern at Microsoft, investigating active learning methods for Living-Off-The-Land command detection to protect systems against evasive adversaries.
In the past, I also worked on implicit authentication mechanisms for IoT ecosystems, and performed experiments in our IoT test lab, MON(IOT)R.
Prior to joining Northeastern, I was a software developer at SAP, working on distributed database systems.