Hi, I'm Bryan.

I hold an M.S. in Data Science and a B.S. in Computer Science from Stevens Institute of Technology. I'm looking to focus on research in edge computing, environmentally sustainable federated learning, and distributed ML systems.

My recent research has focused on adversarial robustness in RAG systems (presented at BizAI 2026 and the 2026 CAE Symposium) and Internet routing security. You can view my projects here.

In my free time, I like to code new things, play badminton, compose music, and hang out with my cat. Feel free to reach out!

picture of me

Featured Projects

All Projects →

UAV Trajectory Prediction

complete

Devised a Python xApp to process telemetry data from a BladeRF SDR, using machine learning models to detect and optimize path prediction in GPS-limited areas.

PyTorch gNB/O-RAN Ardupilot

ROV++ Security Empirical Survey

complete

Empirical security evaluation of BGP route leak mitigations and RPKI/ROV deployment scenarios using graph network simulations.

BGPy NetworkX

osu! ML Beatmap Recommender

building

Machine learning recommendation engine using autoencoded map embeddings and user performance scoring vectors.

PyTorch FastAPI Redis Scikit-Learn

Presentations

Paper BizAI 2026 & CAE Symposium 2026

A Machine Learning-based Approach to Malicious Document Detection for RAG Chunk Ingestion

Bryan Chan, James Davenport, Stephen Ward — Under Dr. Dmitry Zhdanov (Illinois State University), CAE INSuRE+E Program

Poster CAE Symposium 2024

A Survey of ROV++: We May Need Another Napkin

Nathan Ferrell, Bryan Chan, Arrianna Szymczak, Henry Schmidt — Under Dr. Burk Gulmezoglu (Iowa State University), CAE INSuRE+E Program

Recent News

06-2025

Started research (AI in Enterprise Data) at Illinois State University under Dr. Dmitry Zhdanov and the INSuRE+E Program.

06-2024

Started research (BGP Empirical Studies) at Iowa State University under Dr. Burk Gulmezoglu and the INSuRE+E Program.

09-2023

Began Course Assistantship for CS 115: Intro to Computer Science, CS 284: Data Structures, and MA 331: Intermediate Statistics at Stevens Institute of Technology under Dr. Zumrut Akcam-Kibis and Dr. Xiaohu Li.
(Fall 2023 - Spring 2025)

11-2022

Started research (Analyzing Collapse of Online Gaming Communities) at Stevens Institute of Technology under Dr. Jingyi Sun.
(Fall 2022 - Summer 2023)