About

I am a PhD student in Computer Science at Purdue University. My current research focuses on building scalable, generalizable, and adaptive intrusion detection systems for dynamic UAV networks using machine learning, retrieval-augmented methods, and federated learning.

Research Interests

• UAV Network Security
• Intrusion Detection Systems
• Network Traffic Analysis
• Machine Learning
• Graph Neural Networks
• Computer Vision

Current Research

Intrusion Detection for UAV Networks (Jan 2025 - Present)
Building scalable, generalizable, and adaptive intrusion detection for dynamic UAV networks using machine learning, retrieval-augmented methods, and federated learning.

Previous Research Experience

Network Traffic Classification (Jan 2023 - Jan 2025)
Enabled network traffic classification using topological data analysis and developed a large scale network traffic generator to highlight limits in current network traffic classifiers.

Multi-stream Network Analytics (Jan 2022 - Jan 2023)
Enabled multi-stream network analytics using a near-switch architecture to increase accuracy and reduce the reaction time of network telemetry systems.

Graph Neural Networks for Bug Prediction (Mar 2021 - Dec 2021)
Developed a GNN model to predict bug location in python Github projects using python code AST and text data from GitHub issues.

Camera Network Analysis (Jan 2018 - May 2020)
Led a team to develop tools for automated discovery of real-time network camera data from heterogeneous web pages, camera feed health checker, image database, and a camera database API with the client.

Education

Ph.D. in Computer Science (In Progress)
Purdue University, West Lafayette, IN
Advisor: Dr. Bharat Bhargava

M.S. in Computer Science (December 2021)
University of California, Los Angeles, CA

B.S. in Computer Science (May 2020)
Purdue University, West Lafayette, IN
Honors, Dean’s Honor List, Best Sophomore Award for C.S.