Saul Santos

Saul Santos is a Ph.D. candidate and researcher at the Instituto Superior Técnico (University of Lisbon) and Instituto de Telecomunicações, focusing on neural models for memory and attention in natural language generation and computer vision.

• Ph.D. in Electrical and Computer Engineering (2023–2027)
• M.Sc. in Aerospace Engineering (2018–2020)
• B.Sc. in Aerospace Engineering (2015–2018)

His research bridges machine learning with physics-informed architectures, exploring continuous-time memory models, vision-language integration, and structured Hopfield networks. Recent work includes training-free frameworks for long video understanding and advancements in associative memory retrieval.

Key trends from his publications include applications of neural networks in multimodal learning, attention mechanisms, and physics-aware deep learning, with collaborations across institutions like the University of Lisbon, ICLR, and ICML.

• Scholarship from Google and Zendesk for Lisbon Machine Learning School (2024)

He has contributed to projects like DAISEN visualization tool and StreaMemory benchmark, reflecting his interdisciplinary expertise in engineering and AI research.