CV

Please find my complete CV attached here.

Education

Ph.D in Computer Information Science and Engineering, University of Florida, 2025 (expected)
M.S. in Computer Information Science and Engineering, University of Florida, 2021
B.S. in Electronics and Computer Engineering, JNTU, 2019

Cyber-Physical Systems Security (CPSec) Lab, University of Florida (Jan 2021 - Present)
- Discovered and analyzed vulnerabilities in perception sensors, autonomous system signal processing pipelines, and their implications on downstream tasks.
- Studied and evaluated new physical world vulnerabilities in traffic sign and traffic light recognition systems used in autonomous vehicles.
- Designed novel defense strategies based on the invariable physical properties of the sensor that detect and mitigate the attack in an autonomous vehicle setting
Davis Cancer Research Center, Radiation Oncology, UF Health (Dec 2020 - Aug 2021)
- Implemented dimensionality reduction algorithms to compute the displacement fields, used to deform CT images and track organ motion.
- Worked on the Triangulation method to track the deformed GTV surface and on a Deep texture classification model.
- Designed LSTM-based deep learning models to predict organ-specific abdominal motion with Cine-MRI.
Modern Artificial Intelligence and Learning Technologies Lab, University of Florida (May 2020 - Aug 2020)
- Worked on a project that involved building intelligent algorithms for transportation and smart cities.
- Implemented an algorithm that predicts the traffic patterns across intersections using real-time data received from LiDAR sensors.
- Constructed the residual data across intersections, performed clustering, and classified them into events.

Student volunteer, Symposium on Vehicle Security and Privacy (VehicleSec 2023, 2024).
PC committee, poster and demo session, VehicleSec 2024.
More than five papers review experience as a delegation reviewer (USENIX, IEEE S&P)