Swarup Chandra


I am a Ph.D. student, and a member of the Big Data Analytics and Management Lab. My research interests are in the area of Machine Learning and Security. In particular, I work on learning and inference problems in non-traditional settings, such as transfer learning and adversarial learning. My recent projects include scaling bias correction mechanisms over drifting data streams, designing machine learning models in security-sensitive applications, and text analytics.

Published Papers (Google Scholar)

All code available on Github

  • A Framework for Multistream Regression with Direct Density Ratio Estimation
    Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, and Latifur Khan,
    2018 Accepted at AAAI Conference on Artificial Intelligence (AAAI 2018).

  • Efficient Multistream Classification using Direct Density Ratio Estimation
    Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin Hamlen, and Charu Aggarwal,
    2017 IEEE International Conference on Data Engineering (ICDE).