Margarida Silveira

Margarida Silveira is an Associate Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (University of Lisbon), affiliated with the Institute of Systems and Robotics (ISR). Her research focuses on machine learning applications in medical imaging, computational biology, and robotics. She teaches courses in Machine Learning, Digital Signal Processing, and 2nd Cycle Integrative Projects in Electrical and Computer Engineering.

Key research interests include Alzheimer's disease diagnosis using neuroimaging (3D LBP, FDG-PET), cell cycle staging via deep learning, and automated analysis of microscopy and SAR images. Her work combines computer vision techniques with domain-specific challenges like cell polarity quantification and gas sensing via liquid crystals.

Recent publications emphasize 3D biomedical image analysis (cell nuclei segmentation, vascular networks), unsupervised learning for critical care (sepsis prediction), and synthetic data generation for microscopy. Her interdisciplinary collaborations span robotics, neuroscience, and environmental sensing.

Labs/Teams: Active member of the Institute of Systems and Robotics (ISR) and the Systems, Decision, and Control research area. Involved in EU-funded projects involving medical AI and robotics.