Publications




Contact me:
aanand2 [at] uic [dot] edu



PhD student in Computer Science at the University of Illinois at Chicago from Fall 2006-Present.

Research Assistant at the National Center for Data Mining from Fall 2004-Present.

Member of the Laboratory of Computational Population Biology from Spring 2008-2009.

Research Interests

Machine learning, data mining and information visualization.

I got into Computer Science because Artificial Intelligence fascinated me and I continue to explore the area of making computers process information more like humans.

Professional

Personal

Papers

  • Leland Wilkinson, Anushka Anand, Tuan Nhon Dang. CHIRP: A New Classifier based on Composite Hypercubes on Iterated Random Projections.ACM KDD 2011. pdf
  • Tuan Nhon Dang, Leland Wilkinson, Anushka Anand. Stacking Graphic Elements to Avoid Over-plotting. IEEE Transactions on Visualization and Computer Graphics 16(6), p. 1044-1052, Dec. 2010.
  • Anushka Anand, Leland Wilkinson, Dang-Nhon Tuan. An L-infinity Norm Visual Classifier. Proceedings of the IEEE International Conference on Data Mining, p. 687-692 (2009) pdf
  • Leland Wilkinson, Anushka Anand, Robert Grossman. High-Dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distributions. IEEE Transactions on Visualization and Computer Graphics 12(6), p. 1363-1372 (2006) pdf
  • Leland Wilkinson, Anushka Anand, Robert Grossman. Graph-Theoretic Scagnostics.Proceedings of the IEEE Symposium on Information Visualization 2005, p. 157-164 (2005). pdf

Posters

  • Anushka Anand, Leland Wilkinson and Dang Nhon Tuan, Using Random Projections to Identify Class-Separating Variables in High-Dimensional Spaces. IEEE Visual Analytics in Science and Technology, 2011. (Best Poster) pdf
  • Anushka Anand, Leland Wilkinson and Tuan Nhon Dang. CHIRP: A New Classifier based on Random Projections and Covering. 5th Annual Workshop for Women in Machine Learning, Dec. 2010. pdf
  • Anushka Anand, Jennifer Anderson and Tanya Berger-Wolf. Predicting Orientation Selectivity in Primary Visual Cortex.Proceedings of the Annual Meeting of the Vision Sciences Society, May 2010.pdf
  • Anushka Anand, Robert Grossman, Matt Handley, Rajmonda Sulo and Leland Wilkinson. Identifying and Querying Local and Large-Scale Structures Using L-infinity Norms in Visual Analytics.Proceedings of the Grace Hopper Conference 2007.pdf
  • Rajmonda Sulo, Anushka Anand, Leland Wilkinson, Robert Grossman and Stephen Eick. Topographically-Based Real-Time Traffic Anomaly Detection in a Metropolitan Highway System.Proceedings of IEEE Symposium on Information Visualization. pdf

Invited Talks

  • Anushka Anand and Simon Urbanek. Interactive Visualization of Multiple Time Series Interface Symposium 2011, June 2011.
  • Anushka Anand, Leland Wilkinson and Tuan Nhon Dang. CHIRP: A New Classifier based on Random Projections and Covering. Dept. of Statistics Colloquium, Iowa State University, Nov. 2010.

NCDM Technical Reports

  • Robert L. Grossman, Anushka Anand, Shirley Connelly, Yunhong Gu, Matt Handley, Michal Sabala, Rajmonda Sulo, Dave Turkington and Lee Wilkinson, Ian Foster, Ti Leggett, Mike Papka, Mike Wilde, Joe Mambretti, Bob Lucas and John Tran. Angle: Detecting Anomalies and Emergent Behavior from Distributed Data in Near Real Time.Proceedings of SC07-International Conference for High Performance Computing, Networking, Storage and Analysis, Nov 2007. (Winner of the High Performance Analytics Challenge)
  • Robert L. Grossman, Michal Sabala, Anushka Anand, Steve Eick, Leland Wilkinson, Pei Zhang, John Chaves, Steve Vejcik, John Dillenburg, Peter Nelson, Doug Rorem, Javid Alimohideen, Jason Leigh, Michael E. Papka, Rick L. Stevens. Real Time Change Detection and Alerts from Highway Traffic Data. Proceedings of SuperComputing 2005.Winner of the High-Performance Analytics Challenge.

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