Research topics

Our research focuses on developing intelligent computational models to understand, recognize and predict human behavior combining Machine Learning, Signal Processing and Computer Vision. My group is currently working on the following topics:

• Affect and behavior modeling from verbal and non-verbal cues

(speech and multimodal emotion analysis, head motion modeling)

• Pedestrian and crowd behavior understanding 

(crowd flow and density estimation, trajectory forecasting)

• Activity recognition and forecasting 

(drivers' activity monitoring, action forecasting using graph deep learning)