Scholar
Sravan Kumar Ankireddy
Google Scholar ID: j34sU94AAAAJ
University of Texas at Austin
Citations & Impact
Citations
89
H-index
7
i10-index
4
Publications
12
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning' accepted to ICML 2024; Paper 'Task-Aware Distributed Source Coding Under Dynamic Bandwidth' published in NeurIPS 2023; Paper 'Nested Construction of Polar Codes via Transformers' accepted to ISIT 2024; Paper 'TinyTurbo: Efficient Turbo Decoders on Edge' accepted to ISIT 2022; Awarded the Agnes T. and Charles F. Wiebusch Fellowship from the Cockrell School of Engineering for 2025-2026.
Research Experience
- Worked as a Research Engineer in the Physical Layer Modelling team at Qualcomm for two years; Currently pursuing Ph.D. at the University of Texas at Austin, collaborating with Pramod Viswanath (Princeton), Krishna Narayanan (TAMU), Sewoong Oh (UW Seattle), Sandeep Chinchali (UT Austin).
Education
- Ph.D. candidate in the ECE department at the University of Texas at Austin, advised by Hyeji Kim; Graduated with Bachelors and Masters in Electrical Engineering from IIT Madras in 2019, Master’s Thesis advisors were Dr. Andrew Thangaraj and Dr. Radha Krishna Ganti.
Background
- Broadly interested in problems at the intersection of Deep Learning and Information Theory, focusing on using vision and language foundation model priors to build ultra-low rate image compression schemes. Also interested in deep learning for tabular datasets and generative models for synthetic datasets.
Miscellany
- In spare time, enjoys reading books, watching documentaries, and hiking.
