The Machine Learning Optimization and Systems (MILOS) Laboratory, is a research lab at UT San Antonio, directed by Professor Panagiotis (Panos) Markopoulos, conducting research in artificial intelligence, machine learning, data science, and signal processing, with emphasis in trustworthy intelligence.

Main research topics currently include:

• Trustworthy (reliable and explainable) artificial intelligence

• Machine learning from limited and/or corrupted data

• Federated learning with privacy constraints

• Adaptive and continual learning in dynamic environments

• Multimodal learning and data fusion

• Quantum machine learning

Application areas include, among others:

• Computer vision (image classification, object detection and tracking )

• Remote sensing (various imagery types including hyperspectral imagery, SAR, electro-optical; modality fusion, image segmentation, object detection and tracking)

• Wireless communications (physical layer modulation, transmit/receive beamforming, spread-spectrum channelization, multi-user channel access, interference avoidance and suppression, direction-of-arrival estimation and source tracking, radar)

• Computational Health and Medicine (privacy-aware, limited data, data analytics and inference)