Curriculum Vitae

Also available in PDF format.

Work experience

• January - June 2013: Intern
  • National Instruments (Bangalore)
  • Duties included: Development of LabVIEW module to automate analysis of product quality and highlight features susceptible to bugs
  • Group Manager: Praveen Madubushi
• 2013 - 2014: Software Engineer
  • National Instruments (Bangalore)
  • Duties included: Bug detection in RFSA-GUIs and coordination of RFSA testing across multiple teams and time-zones
  • Group Manager: Praveen Madubushi
• 2015 - Present: Graduate Student Research Assistant
  • University of Michigan (Ann Arbor)
  • Primary Focus: Neural network pruning, curriculum learning, application of information theoretic measures and video-based deep learning
  • Advisors: Dr. Jason J. Corso and Dr. Salimeh Yasaei Sekeh

Education

• B.E. in Electronics and Communications, M.S. Ramaiah Institute of Technology, 2013
• Ph.D in Computer Vision, ECE, University of Michigan, 2022 (expected)

Publications

T-RECS: Training for Rate-Invariant Embeddings by Controlling Speed for Action Recognition

M-PACT: An Open Source Platform for Repeatable Activity Classification Research

ViP: Video Platform for PyTorch

A Geometric Approach to Online Streaming Feature Selection

Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation

MINT: Deep Network Compression via Mutual Information-based Neuron Trimming

SNACS: Slimming Neural Networks Using Adaptive Connectivity Scores

Talks

Modelling Connectivity: An Alternative Approach to Neural Network Compression

March 01, 2013

Talk at University of Maine (Virtual), Orono ME, USA

Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation

September 06, 2020

Conference Proceedings Talk at British Machine Vision Conference (Virtual), Manchester, UK

MINT: Deep Network Compression Via Mutual Information-Based Neuron Trimming

January 10, 2021

Conference Proceedings Talk at International Conference on Pattern Recognition (Virtual), Milan, Italy

Technical Skills

• Language: English (Proficient), Tamil (Native), Hindi (Fluent), Kannada (Fluent)
• Computer Languages: C++ (basics), MATLAB, LabVIEW, and Python
• Deep Learning: Caffe, Tensorflow, PyTorch and Theano
• Software and Tools: LaTeX, Excel and Arduino

Achievements and Professional Activities

• Winner of 1st prize for implementation and presentation of paper titled: ‘Decoupled Active Contours for Boundary Extraction’ and its extension to color images
• Winner of 3rd place at the University of Michigan’s Engineering Research Symposium 2021, in the Advanced Graduate Student Research session
• Reviewer at ECCV 2020, BMVC 2020, ICML 2018, CVPR 2018, Mathematical Problems in Engineering
• Volunteered at “Xplore Engineering summer camp” and technical symposium held at National Instruments, “NIBTech”