About
I earned my Ph.D. in Electrical and Computer Engineering, with a minor in Mathematics, from the University of Arizona, Tucson. My research primarily focuses on the intersection of information theory and machine learning, and I have a strong interest in wireless communication.
Research Projects
Interpretability in Machine Learning: Exploring how machine learning models can be made interpretable for real-world applications, with an emphasis on uncertainty quantification and model calibration.
Semantic Communication: Investigating the trade-offs between latency and distortion when transmitting classification decisions over noisy communication channels.
Machine Learning for LDPC Decoders (Low-Density Parity-Check Decoders): Enhancing the performance of Low-Density Parity-Check (LDPC) decoders by leveraging neural networks to improve Bit Error Rate (BER) and Frame Error Rate (FER).
Machine Learning for URLLC (Ultra-Reliable Low-Latency Communications): Meeting the stringent latency and reliability requirements of Ultra-Reliable Low-Latency Communications (URLLC) through the design of Sparse Matrix Codes, a novel coding technique based on Compressed Sensing.
Machine Learning for Change Detection: Developing new unsupervised methodologies for detecting changes in time-series data, accompanied by theoretical analysis.
Machine Learning for Hybrid Beamforming: Introduced three low-complexity, supervised deep learning methods to compute Singular Value Decomposition (SVD) and beamforming vectors for hybrid beamforming.
Evaluation Measures for Generative Models: Developed information-theory-based metrics to evaluate mode collapse in Generative Adversarial Networks (GANs) and proposing a novel training approach to mitigate this issue.
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 | 2015 |
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 |