Herbert Wertheim College of Engineering
Woodard Lab
Led by Damon Woodard · Electrical and Computer Engineering
What we study
The Woodard Lab studies how artificial intelligence, like computer vision and machine learning, can be used to solve problems in national security and cybersecurity. They focus on AI security, hardware assurance, and digital twins.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Projects
- 2
- Papers
- 5
Current projects
Standardizing Multi Agent Reinforcement Learning Algorithms with StarCraft II
The student ran a set of top multi‑agent reinforcement‑learning algorithms in the StarCraft II challenge under identical conditions, recorded win rates and learning curves, and showed how a common framework can be used to compare and develop new models.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 377
From Black-Box to Glass-Box Models: Toward Explainability in Reinforcement Learning
This lab works on making AI that learns by trial and error easier to understand. Students compare two popular learning methods and try to turn the AI’s decision rules into clear, readable maps.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 124
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- ViLID: Multimodal misinformation detection with complementary input- and rationale-level inconsistency signals
2026 · Pattern Recognition
- From Data Fusion to Foundation Models: A Survey of Multimodal AI in Medicine and Healthcare
2026
Show 3 more papersShow fewer
- Protecting Dynamically Obfuscated Scan Chain Architecture from DOSCrack with Trivium Pseudo-Random Number Generation
2025 · Cryptography
Tests a method to crack a security system that hides test patterns in computer chips.
- A Performance Comparison of Multi-Agent Reinforcement Learning Algorithms using PyMARL2
2025 · UF Journal of Undergraduate Research
Compares how well different AI algorithms perform in multi-agent games.
- IC SEM Reverse Engineering Tutorial Using Artificial Intelligence
2025 · IEEE Design and Test
Explains how AI helps analyze images of computer chips for reverse engineering.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Damon Woodard hasn't set up this page yet. Their UF Scholars profile lists their publications.