Curriculum Vitae

The detailed PDF version of my CV can be found here - Curriculum Vitae

Research Interests

I am interested in understanding machine learning problems through the lens of geometry, statistics, and optimization.

Current research interests - weakly supervised learning and theory of deep learning
Other interests - information-constrained statistical inference and causal inference

Theses

A Study of Robust Learning under Label Noise with Neural Networks, Master’s Thesis
Advisor: Prof. PS Sastry
[Thesis] | [Slides] | [Codes]

Robust Learning under Label Noise

Memorization in Deep Neural Networks: Does the Loss Function matter? - PAKDD 2021 [paper] [video] [code] [presentation]
Adaptive Sample Selection for Robust Learning under Label Noise - WACV 2023 [paper] [code] [video] [poster]

Other Publications

Analysis of Speech Signals

Comparison of Speech Tasks and Recording Devices for Voice Based Automatic Classification of Healthy Subjects and Patients with Amyotrophic Lateral Sclerosis - Interspeech, 2019 [paper]
Comparison of Speech Tasks for Automatic Classification of Patients with Amyotrophic Lateral Sclerosis and Healthy Subjects - International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018 [paper]

Presentations and Talks

Adaptive Sample Selection for Robust Learning under Label Noise [poster]
Online Asian Machine Learning School, ACML 2022, Hyderabad
Adaptive Sample Selection for Robust Learning under Label Noise [video] [presentation]
EECS Symposium 2021, Indian Institute of Science, Bangalore

Education

Ph.D, 2023 - Present
Department of Computer Sciences, University of Wisconsin-Madison, USA
Ph.D, 2021 - 2023 (discontinued)
Department of Electrical Engineering, Indian Institute of Science, Bengaluru
Advisor: Prof. PS Sastry
M.Tech (Research), 2018 - 2021
Department of Electrical Engineering, Indian Institute of Science, Bangalore
Advisor: Prof. PS Sastry
B.Tech (Electrical Engineering), 2012 - 2016
School of Technology,
PDPU, Gujarat

Other Research Experiences

September 2017 - July 2018: Project Assistant
- Department of Electrical Engineering
- Mentor: Dr. Prasanta Kumar Ghosh
  - Details in CV

Teaching experience

Spring’24, Fall’23: Teaching Assistant
- Course: Basic Statistics for Psychology
- Instructor: Prof. Rebecca Addington
Fall ‘22: Teaching Assistant
- Course: Random Processes
- Instructor: Prof. Aditya Gopalan
Spring ‘20: Teaching Assistant
- Course: Pattern Recognition and Neural Networks
- Instructor: Prof. PS Sastry
Fall ‘19, Fall ‘20, Fall ‘21: Teaching Assistant
- Course: Stochastic Models & Applications
- Instructor: Prof. PS Sastry