Anushka Chandrababu

Ganaka | Formerly Computational Sciences Laboratory


Anushka Chandrababu

  1. book PUBLICATIONS

Publications

  1. Anushka Chandrababu, Aswal A., Srinivasa Prasanna G.N. (2017) Convex Model Databases—Solving Real-World OR Problems. In: Contractor D., Telang (eds) Applications of Cognitive Computing Systems and IBM Watson. Springer, Singapore, October 2017

  2. Anushka Chandrababu, Abhilasha Aswal, Sanat R and G N Srinivasa Prasanna, A Convex Model Database approach to Railway Schedule validation, International Conference on Business Analytics and Intelligence, Bangalore, December 2017.

  3. Anushka Chandrababu, Abhilasha Aswal, G.N.Srinivasa Prasanna, Convex Model Databases – Solving real world OR problems. IBM ICARE Conference, Bangalore, 2016.

  4. Anushka Chandrababu, Abhilasha Aswal, G.N. Srinivasa Prasanna, Representing uncertainty with Convex Model Databases, INFORMS Annual Meeting Conference, Nashville, Tennessee, USA, November 2016.

  5. Anushka Chandrababu, G.N. Srinivasa Prasanna, Applications of Big Data Summarization through polyhedral uncertainty sets, INFORMS Annual Meeting Conference 2015, Philadelphia, USA, 2015.

  6. Abhilasha Aswal, Anushka Chandrababu, GN Srinivasa Prasanna,Uncertainty Quantification for Robust Optimization:Information Theory and Extended Relational Algebra of Polytopes, SIAM Conference on UncertaintyQuantification, Georgia, USA, March 2014.

  7. Abhilasha Aswal, Anushka Chandrababu, G.N. Srinivasa Prasanna, Robust Approach to Solving Optimization Problems in Indian Rail and Road, INFORMS ANNUAL Meeting Conference 2013, Minneapolis, MN, Oct 2013.

  8. Abhilasha Aswal, Anushka Chandrababu, Ganesh Perumal, Sunil Vupulla,Venkatta Sai Sriram Mahavadi, G. N. Srinivasa Prasanna, Convex Optimization: An Overview, Advanced Workshop and tutorial on Operations Research, AWTOR 2012.

  9. Abhilasha Aswal, Anushka Chandrababu, Dileep KumarPaturu, G. N. Srinivasa Prasanna, Capacity Planning Under Uncertainty: A Merger of Robust Optimization and Information Theory applied to Supply Chain Management, Proceedings of the 40th annual convention of Operational Research Society of India.