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)
Research group
Postdoctoral research associate
Ozan Bahadir
Fuxiang Tao
Current PhD students
Basmah Alsenani
Bishal Ghosh
Jiashu Liao
Maram Almutiri
Max Christou
Nesreen Alareef
Raphael Cunningham
Sahar Altalhi
Tongfei Bian
PhD graduates
Debaleena Roy (06/2023 | After graduation: Teaching Fellow @ Aston University, UK)
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
CoI (Glasgow PI): Women, Ageing, and Machine Learning on Screen | Leverhulme Trust | 2024 - 2027
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