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:
(speech and multimodal emotion analysis, head motion modeling)
(crowd flow and density estimation, trajectory forecasting)
(drivers' activity monitoring, action forecasting using graph deep learning)
PI: Latent Graph Learning and Classification. Intel Corporation Small Grant. 2022 - 2023.
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.