Posts by Collection

portfolio

publications

A scalable and composable analytics platform for distributed wide-area tracking

Published in 20th International Conference on Distributed Computing and Networking, 2019

We design and develop an analytics platform that allows easy composability of these neural networks to solve the problem of wide-area tracking. The platform solves multiple system side challenges that would otherwise hamper or complicate the development of such applications.

Download here

Dynamic Scaling of Video Analytics for Wide-area Tracking in Urban Spaces

Published in TCSC SCALE Challenge 2019, co-hosted with CCGRID, 2019

We design and develop an analytics platform that allows easy composability of these neural networks to solve the problem of wide-area tracking. The platform solves multiple system side challenges that would otherwise hamper or complicate the development of such applications.

Download here

A Scalable Platform for Distributed Object Tracking Across a Many-Camera Network

Published in IEEE Transactions on Parallel and Distributed Systems, 2021

Advances in deep neural networks (DNN) and computer vision (CV) algorithms have made it feasible to extract meaningful insights from large-scale deployments of urban cameras. Tracking an object of interest across the camera network in near real-time is a canonical problem.

Download here

talks

teaching

Teaching Assistant, Scalable Systems for Data Science (DS256)

Graduate course, Department of Computational and Data Sciences, Indian Institute of Science, 2018

As a Teaching Assistant of Scalable Systems for Data Science, I was responsible for conducting tutorials, checking assignments and, deploying and maintaining containerized enviroments for each student.