Competitive grants and industry-funded research projects supporting multimodal perception, sensor fusion, and intelligent systems.
Funded by RIKEN (Institute of Physical and Chemical Research), Japan.
Research on multimodal learning, missing modality robustness, weak supervised learning, and audio-visual perception for humanoid social robots. Part of a six-team national collaborative project.
Funded by Toyota Technological Institute, Denso, Nippon Soken, Aisin, Toyota R&D Labs, and Tier IV.
Development of deep learning frameworks for camera, radar, LIDAR, and thermal sensor fusion in autonomous vehicles. Resulted in 7 Japanese patents and 20+ publications.
Funded by Philips Research and Eagle Vision in collaboration with the University of Amsterdam.
Probabilistic and optimization-based approaches for automatic extrinsic calibration of non-overlapping camera networks and appearance-based person re-identification.
Funded by the University of Dundee, UK.
Full doctoral scholarship for research on markerless multi-view human motion tracking and classification using particle swarm optimisation and manifold learning. Research featured in Science Scotland, Royal Society of Edinburgh.
Pursuing grants for multimodal perception robustness, missing modality learning, and sensor fusion for autonomous systems and robotics.
Seeking collaborative research agreements with automotive OEMs and robotics companies including Astemo and Denso for sensor fusion R&D.
Continuing joint research initiatives with RIKEN (Japan), SSN College of Engineering, and REC (India) on multimodal AI for robotics and mobility.