About
I am a Ph.D. candidate in the Department of Electrical and Computer Engineering, with a minor in Mathematics, at the University of Arizona, Tucson. My research primarily focuses on the intersection of information theory and machine learning. I also have a keen interest in the area of wireless communication.
Current research interests
- Machine Learning for LDPC Decoders (Low-Density Parity-Check Decoders): Improving BER/FER (Bit Error Rate/Frame Error Rate) using neural networks.
- Machine Learning for URLLC (Ultra-Reliable Low-Latency Communications): Enhancing error correction for latency constrained communications.
- Machine Learning for Change Detection: Developing reliable change detection methods for high-dimensional inputs.
- Machine Learning for Hybrid Beamforming: Employing neural networks to obtain the transmit and receive beamforming vectors.
Teaching
Leading weekly lab sessions for the course Computer Programming for Engineering Applications (ECE 175), where I assist students in mastering programming and debugging techniques in C.
Education
| Degree | Institution | Dates |
|---|---|---|
| Ph.D. | University of Arizona | 2024 |
| M.S. | University of Arizona | 2019 |
| B.E. | Ramaiah Institute of Technology | 2011 |
Employment
| Position | Institution | Dates |
|---|---|---|
| Staff Engineer | Marvell Technology | 2024–Present |
| DSP Error Control Codes Intern | Marvell Technology | 2023 |
| Research Engineer Intern | NTT Docomo | 2022 |
| Software Engineer | Robert Bosch Engineering and Business Solutions | 2015–2017 |
| Software Engineer Intern | Robert Bosch Engineering and Business Solutions | 2015 |