157 citations · 312 across the 15 of their papers we have counts for
16 papers
Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
Sriram Rao, Ashish Mahabal, Niyanth Rao +1
The Transiting Exoplanet Survey Satellite (TESS) has now been operational for a little over two years, covering the Northern and the Southern hemispheres once. The TESS team proces…
Optimizing Inter-Datacenter Tail Flow Completion Times using Best Worst-case Routing
Max Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra
Flow routing over inter-datacenter networks is a well-known problem where the network assigns a path to a newly arriving flow potentially according to the network conditions and th…
Efficient Inter-Datacenter Bulk Transfers with Mixed Completion Time Objectives
Mohammad Noormohammadpour, Srikanth Kandula, Cauligi S. Raghavendra +1
Bulk transfers from one to multiple datacenters can have many different completion time objectives ranging from quickly replicating some copies to minimizing the time by which…
Fast and Efficient Bulk Multicasting over Dedicated Inter-Datacenter Networks
Mohammad Noormohammadpour, Cauligi S. Raghavendra, Srikanth Kandula +1
Several organizations have built multiple datacenters connected via dedicated wide area networks over which large inter-datacenter transfers take place. This includes tremendous vo…
On Minimizing the Completion Times of Long Flows over Inter-Datacenter WAN
Mohammad Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra
Long flows contribute huge volumes of traffic over inter-datacenter WAN. The Flow Completion Time (FCT) is a vital network performance metric that affects the running time of distr…
Large-Scale Unsupervised Deep Representation Learning for Brain Structure
Ayush Jaiswal, Dong Guo, Cauligi S. Raghavendra +1
Machine Learning (ML) is increasingly being used for computer aided diagnosis of brain related disorders based on structural magnetic resonance imaging (MRI) data. Most of such wor…