Arlindo Oliveira

Arlindo Oliveira is a Professor at the Instituto Superior Técnico (University of Lisbon), affiliated with the INESC-ID research unit. His work bridges artificial intelligence, machine learning, and computational complexity, with applications in biomedical imaging, medical diagnostics, and computer vision.

Key research themes include:

• Developing deep learning models for tasks like coronary angiography segmentation, dental age estimation, and ischemic stroke lesion analysis
• Exploring neuro-inspired architectures to enhance CNN robustness through subcortical vision modeling
• Advancing NLP techniques via positional encodings and fractal language modeling
• Applying adaptive signal processing to spirometry interpretation and ECG anomaly detection

His recent publications (2024-2025) highlight trends in medical AI, vision language models, and ethical data auditing. Notable methods include recurrent neural networks for segmentation, attention mechanisms, and hybrid Fourier/deep learning approaches.