Sravan Ankireddy
I am a Ph.D candidate in the department of ECE at the University of Texas at Austin, advised by Hyeji Kim . I am broadly interested in problems at the intersection of Deep Learning and Information Theory. My current research focuses on using vision and language foundation model priors to build ultra-low rate image compression schemes. Additionally, I am also interested deep learning for tabular datasets and generative models for synthetic datasets.
Previously, I also worked on deep learning based channel coding schemes for PHY layer communication.
I also closely collaborate with Pramod Viswanath (Princeton), Krishna Narayanan (TAMU), Sewoong Oh (UW Seattle), Sandeep Chinchali (UT Austin).
My goal is to combine advances from multiple fields to develop low-complex solutions at the intersection of theory and systems.
In the past, I spent two wonderful years as a Research Engineer at Qualcomm working in the Physical Layer Modelling team in Bangalore, India. Previously, I graduated with Bachelors and Masters in Electrical Engineering from IIT Madras in 2019. I have been extremely fortunate to have worked with Dr. Andrew Thangaraj and Dr. Radha Krishna Ganti for my Master’s Thesis on efficient encoding and decoding of Polar Codes.
In my spare time I enjoy reading books, watching documentaries, and hiking.
