Ricardo Caldas Santana

Academic Background

Building technology that adapts to people, not the other way around

I’m a Ph.D. candidate in Multimodal AI and Human-Computer Interaction at KTH (Department of Intelligent Systems) and the Media & Language Research Arena (WASP), supervised by Dr. Pereira. My research focuses on integrating representation learning and large language models (LLMs) for seamless collaboration between humans and machines.

I earned my M.Sc. in Aerospace Engineering from TU Delft, where I applied deep reinforcement learning to autonomous mobility, advised by Dr. Sharpanskykh and Dr. Wei.

Professional Experience

Before academia, I spent two years as a Digital Consultant at McKinsey & Company, driving AI projects and launching new logistics, insurance, and energy ventures. During my master's, I did a half-year research stint at Sensei, developing real-time 3D human pose estimation.

Current Research

Interested in collaboration or supervision opportunities? Feel free to to discuss potential research synergies.

Affective Human-Robot Interaction

Developing predictive models to understand and explain human emotion and enjoyment through multimodal fusion approaches integrating text, speech, and video data.

Human-AI Collaboration

Exploring how multimodal large language models (LLMs) can better collaborate with humans to augment real-time teamwork dynamics.