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)
Current PhD students
Atanu Samanta
Basmah Alsenani
Jiashu Liao
Olayinka Ajayi
Yiming Ma
Past PhD student
Olly Styles (Graduation: Jan, 2022 | After graduation: Head of Data Science @ Atlas AI)
Research support
PI: Latent Graph Learning. Intel Corporation Small Grant. 2022 - 2023. ($20,000)
PI: Multimodal Learning for In-Car Driver Activity Monitoring. Ford University Research Program. 2021 - 2023. ($100,000)
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.