Dimitrios Kollias

Dr. Dimitrios Kollias is a Lecturer in Artificial Intelligence at Queen Mary University of London, part of the School of Electronic Engineering and Computer Science. He holds a PhD from Imperial College London and is a Fellow of the Higher Education Academy. His academic affiliations include the Centre for Multimodal AI, Multimedia and Vision (MMV) research group, Queen Mary Computer Vision Group, and associate memberships in advanced robotics and digital environment institutes.

Dr. Kollias’ research focuses on multimodal AI, trustworthy AI, computer vision, affective computing, and healthcare applications. He has authored over 70 publications in top-tier journals/conferences like CVPR, ICCV, and IEEE TPAMI. Notable achievements include the Sullivan Thesis Prize (2023) and inclusion in the World’s Top 2% Scientists (2023). He chairs major competitions such as the ABAW and MIA-COV19D series.

He teaches courses in Data Mining, Digital Media, and Machine Learning Deployment. Current opportunities include PhD/postdoc scholarships across multiple international programs and postdoc fellowships (e.g., MSCA, Royal Fellowship). His work spans collaborations with industry partners like Deep Render Ltd and Realeyes, with two patents filed.

Key awards include Imperial College Teaching Fellowship and grants from City & Guilds College Association. He evaluates proposals for EU, UK, Canadian, and Qatari funding bodies, and serves on editorial boards of IEEE Transactions on Affective Computing and Electronics.