Sergio Escalera

Sergio Escalera is Professor at the Universitat de Barcelona's Department of Mathematics and Informatics, where he leads the Human Behavior Analysis Group (HuPBA). He holds adjunct positions at Aalborg University and the Computer Vision Center at UAB.

His research focuses on inclusive human analysis from multimodal data, with interests spanning:

• Computer vision and pattern recognition
• Deep learning architectures
• Affective computing and behavior modeling
• Challenge-based machine learning

Publications show strong emphasis on healthcare applications, human-computer interaction, and efficient model design. Key scientific honors include:

• ICREA Academia distinction
• Amazon Research Award
• CVPR best paper nominee award

He mentors PhD candidates and leads multiple international projects including ChaLearn challenges. As co-founder of NeurIPS competition tracks, he significantly contributes to the ML community.