Research topics

My research focuses on developing intelligent computational models to understand, recognize and predict human behavior combining Machine Learning, Signal Processing and Computer Vision.  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)

Current PhD students

• Atanu Samanta 

• Basmah Alsenani

• Debaleena Roy  

• Jiashu Liao 

• Max Christou

• Olayinka Ajayi

• Raphael Cunningham

• Yiming Ma

Past PhD students

• Amir Shirian  (11/2022 | After graduation: Data Scientist @ Nokia, UK)

• Olly Styles  (01/2022 | After graduation: Head of Data Science @ Atlas AI, UK)

Research support 

• PI: TinyFaces  |  UK Defence & Security Accelerator  |  2023 - 2024

• CoI: Digital Sensing and Intervention for Wellbeing (PhD studentship)  |  Nokia Bell Labs  |  2023

• PI: Latent Graph Learning and Classification  |  Intel Corporation  |  2022 - 2023 

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

• 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