Research topics

My research focuses on developing intelligent computational models to understand, recognize and predict human behavior combining Machine Learning and Signal Processing. With my students and collaborators, I am 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)

PhD students

• Amir Shirian

• Atanu Samanta

• Daniel Catchpole (on leave)

• Debaleena Roy

• Jiashu Liao

• Olayinka Ajayi

• Olly Styles

• Yiming Ma

Research support

• PI: Multimodal Learning for In-Car Driver Activity Monitoring. Ford University Research Program. 2021 - 2023.

• PI: Crossmodal Biometric Matching. Warwick RDF Award. 2019.

• PI: Application-aware Image Quality Assessment. Indian Space Research Organization. 2016 - 2018.

• CoI: Holistic Scene Understanding. Samsung Research. 2017 - 2018.

• PI: NVIDIA Academic GPU Grant. 2017.