Machine Learning Optimization Laboratory

The Machine Learning Optimization (MILO) Lab at UTSA conducts cutting-edge research in machine learning optimization, developing robust and computationally efficient methods for explainable and trustworthy artificial intelligence.

Our work emphasizes intelligent and practical solutions, particularly in resource-limited and challenging data environments. We develop both theory and algorithms and directly address applications in areas including remote sensing, computer vision, wireless communications, and healthcare.

Our Team's Current Research Topics:

• Robust Learning 

• Continual Learning 

• Federated Learning 

• Few-Shot Learning 

• Multimodal Learning 

• Quantum Machine Learning 

• Machine Learning for Healthcare

We aim to push the boundaries of machine learning with theoretical rigor and real-world impact.