Data Security and Machine Intelligence Lab
Principal Investigators
Dr. Chenggang Wang
Assistant Professor
Dr. Wang leads the lab with a focus on data security, privacy-preserving machine learning, and trustworthy computing systems. His research aims to build the next generation of secure and intelligent infrastructure.
Dr. Chad Roller
Assistant Professor
Dr. Chad Roller leads the lab with a focus on AI applications and Translational Research. His research intends to build AI-based Intelligence system and accelerate the technology transfer and science of science research.
Lab Thrust
AI-Driven Cybersecurity
- Developing robust and fair machine learning models.
- Ensuring AI systems are explainable and transparent.
- Focusing on critical applications in finance and healthcare.
AI Applications and Translational Research
- Developing AI-driven methods for knowledge discovery and pattern mining.
- Developing AI-based system that help learning from historical data and finding insights for future.
- Building scalable AI-based system that empower other displines.
Current Projects
Catalyst OU: A Pilot for an LLM-Powered Researcher Collaboration Network
This project will develop and evaluate “Catalyst OU,” a pilot system designed to foster research collaboration at the University of Oklahoma by leveraging Large Language Models (LLMs) to identify potential research synergies. This pilot aims to demonstrate the feasibility of using LLMs for sophisticated researcher profiling and research interest matching, which will lay the groundwork for a university-wide collaboration discovery platform.
Trustworthy AI for Critical Infrastructure
This project focuses on developing robust and explainable machine learning models to detect and mitigate cyber-attacks against power grids and water distribution systems. We are exploring novel federated learning techniques to ensure data privacy.
Scalable Blockchain for IoT Security
We are designing a lightweight, scalable blockchain framework to secure communications and data integrity for large-scale Internet of Things (IoT) networks, addressing challenges in consensus algorithms and resource-constrained devices.
Current Members
Colin Torbett
MS Student
Alexander Lee
Undergraduate Student
Ryan King
MS Student