Sandeep Bhatkar

Sandeep Bhatkar is a researcher with Symantec Research Labs.  Sandeep’s research interests span the areas of software security, programming languages, and applied machine learning.  At Symantec, his current research focuses on defenses against cybersecurity threats such as zero-day malware, targeted attacks, and malicious insiders.

Prior to joining Symantec, Sandeep received a Ph.D. in Computer Science from Stony Brook University and a Bachelor's degree in Computer Science from Indian Institute of Technology, Bombay.

Selected Academic Papers

  • Access Prediction for Knowledge Workers in Enterprise Data Repositories
    Chetan Verma, Michael Hart, Sandeep Bhatkar, Aleatha Parker-Wood, Sujit Dey
    In Proceedings of the 17th International Conference on Enterprise Information Systems (ICEIS 2015)

    The data which knowledge workers need to conduct their work is stored across an increasing number of repositories and grows annually at a significant rate. It is therefore unreasonable to expect that knowledge workers can efficiently search and identify what they need across a myriad of locations where upwards of hundreds of thousands of items can be created daily. This paper describes a system which can observe user activity and train models to predict which items a user will access in order to help knowledge workers discover content.

  • Improving Scalability of Personalized Recommendation Systems for Enterprise Knowledge Workers
    Chetan Verma, Michael Hart, Sandeep Bhatkar, Aleatha Parker-Wood, and Sujit Dey
    IEEE Access, Vol. 4, 2015

    In this paper, we present a novel optimization technique that significantly increases the scalability of personalized model-based recommendation systems without sacrificing accuracy.