You can also find my articles on my Google Scholar profile.

In the Pipeline

  1. Asiaee, A., Oymak, S., Coombes, K. R., & Banerjee, A. High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient. ArXiv Preprint ArXiv:1806.04047.
  2. Abrams, Z. B., Zucker, M., Min, W., Asiaee, A., Abruzzo, L. V., & Coombes, K. R. Thirty Biologically Interpretable Clusters of Transcription Factors Distinguish Cancer Type. Manuscript Submitted for Publication.


  1. Asiaee T., A., Goel, H., Gosh, S., Yegneswaran, V., & Banerjee, A. (2018). Time Series Deinterleaving of DNS Traffic. In 1st Deep Learning and Security Workshop (DLS).


  1. Asiaee T., A., Chaterjee, S., & Banerjee, A. (2016). High Dimensional Structured Estimation with Noisy Designs. In 16th SIAM International Conference on Data Mining (SDM) (pp. 801–809). SIAM.


  1. Golnari, G., Asiaee T., A., Banerjee, A., & Zhang, Z.-L. (2015). Revisiting Non-Progressive Influence Models: Scalable Influence Maximization in Social Networks. In 31st Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 316–325).


  1. Asiaee T., A., Afshar, M., & Asadpour, M. (2013). Influence maximization for informed agents in collective behavior. In Distributed Autonomous Robotic Systems (pp. 389–402). Springer.


  1. Asiaee T., A., Tepper, M., Banerjee, A., & Sapiro, G. (2012). If you are happy and you know it... tweet. In 21st ACM international conference on Information and knowledge management (CIKM) (pp. 1602–1606). ACM.