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Alind Khare

PhD Student in School of Computer Science, College of Computing

Georgia Institute of Technology

Biography

Alind Khare is a PhD student in the Habanero Laboratory of School of Computer Science, Gatech, working under Prof. Vivek Sarkar and Prof. Alexey Tumanov. His research aims to make AI (DL) more accessible/easy-to-use to the community so that the application developers using DL models don’t have to care about SLO’s such as accuracy, latency requirements etc. His work experience at IBM Research Labs has also motivated him to work in making DL models fit for deployment on edge devices.

Interests

  • Artificial Intelligence
  • Deep Learning
  • High Performance Computing
  • Systems

Education

  • PhD in Computer Science, 2019-Present

    Georgia Institute of Technology, GA, USA

  • B.Tech in Computer Science, 2014-2018

    Indrapastha Institute of Information Technology, New Delhi, India

Experience

 
 
 
 
 

Software Engineer

IBM Research Labs

Jul 2018 – Jul 2019 New Delhi, India
I worked under Yogish Sabharwal on compressing deep neural networks. I also worked at developing automated learning rate optimizer for trainining deep networks.
 
 
 
 
 

Teaching Assistant

IIIT-Delhi

Jul 2017 – Jul 2018 New Delhi, India
I conducted labs and formed assignments for the following courses:

  • Big Data And Analytics, taught by Prof.Vikram Goyal
  • Foundations of Parallel Programming, taught by Prof.Vivek Kumar
  • Probability and Statistics

Projects

Hierarchical Curve Skeleton of 3D Objects on GPU

This project was done in GPU Computing course. The project aimed at harnessing compute power of GPU’s.

Applying AI Techniques On PACMAN

The project was done in Artificial Intelligence course. Defined a search space for PACMAN game and applied techniques such as Deep …

Twitter Anomaly Detection Using Bayesian Network

The project was done in Information Retrieval course. This project won the Best Course Project Award.

Publications

Alind Khare, Vikram Goyal, Srikanth Baride, Sushil K. Prasad, Michael McDermott, Dhara Shah (2017). Distributed Algorithm for High-Utility Subgraph Pattern Mining Over Big Data Platforms. 2017 IEEE 24th International Conference on High Performance Computing (HiPC).

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