I am an Associate Professor at Northeastern University in the College of Computing and Information Science. I joined Northeastern in Fall 2016. Before that, I was a consultant research scientist at RSA Laboratories, performing research in cloud security, applied cryptography, foundations of cybersecurity, and security analytics. I have successfully transferred research technologies developed at RSA Laboratories into RSA’s products. I am the receipient of the TR35 award for my research in cloud security in 2011.
I currently serve as Program Commitee co-chair for:
  • Network and Distributed System Security Symposium (NDSS) 2019
  • IEEE Symposium on Security and Privacy 2020
  • My recent research evolves around the field of “security analytics”, the application of machine learning and data mining in cyber security. I am interested in designing rigorous machine learning techniques for learning and predicting attacker behavior, detecting malicious infrastructures, and designing more effective defensive techniques. I am also interested in securing public clouds against emerging threats, while protecting tenants' privacy.
    Another area of great interest is designing machine learning models resilient against adversarial manipulation. Recently, a number of concerns about the security and ethical risks introduced by machine learning algorithms have emerged. Sophisticated attackers have strong incentives to manipulate the results and models generated by machine learning algorithms to achieve specific goals. I am interested in adversarial machine learning, a reasearch area that studies the effect of adversarial attacks against machine learning models and aims to design robust algorithms.