Algorithms Under Uncertainty
Indo-US Virtual Networked Joint Center
Mission Statement

This center aims to foster research collaborations between the partner research groups in India and the US working in several areas related to designing algorithms under uncertainty. These areas (online algorithms, dynamic algorithms, stochastic optimization, and machine learning) approach this general theme in different ways. The center aims to find commonalities that cut across these traditional boundaries.

The centre will enable visits between researchers listed below, at the partner institutions (at the IIT Delhi and Kanpur campuses in India, and at Carnegie Mellon and Duke Universities in the US), in order to foster collaboration and dissemination of ideas related to algorithms that work in uncertain environments.

The virtual networked center is supported by a grant from the Indo-US Science and Technology Forum (IUSSTF).


The partnering instituions and researchers from India and the U.S. are:

  • Anupam Gupta, Carnegie Mellon University
  • Amit Kumar, Indian Institute for Technology Delhi
  • Surender Baswana, Indian Institute for Technology Kanpur
  • Naveen Garg, Indian Institute for Technology Delhi
  • Rong Ge, Duke University
  • Debmalya Panigrahi, Duke University



  • Plenary talk at the Symposium on Discrete Algorithms (SODA) 2018 conference, New Orleans by A. Gupta


Design based on the CSD Immigration Course webpage.