Herbert Wertheim College of Engineering
Adaptive Learning & Optimization Lab
Led by My T. Thai · Computer and Information Science and Engineering
What we study
The lab studies algorithms, machine learning, and network security. They use computational methods to develop scalable solutions for optimization and cybersecurity.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 3
Recent papers, explained
- Federated anomaly detection in smart grid systems
2026 · Digital Communications and Networks
Tests whether federated learning can detect smart grid anomalies without sharing raw data.
- QUPID: A Partitioned Quantum Neural Network for Anomaly Detection in Smart Grid
2026 · IEEE Transactions on Smart Grid
Uses quantum computing to detect anomalies in smart grid systems more reliably than traditional methods.
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- FIDDLE: Reinforcement Learning for Quantum Fidelity Enhancement
2025 · ACM Transactions on Quantum Computing
Builds a reinforcement learning system to improve quantum circuit reliability.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
My T. Thai hasn't set up this page yet. You can also look them up in the UF directory (search “My T. Thai”).