Biography

I am Assistant Professor in AI at Queen Mary University of London, UK. I serve as consultant and/or academic advisor to multiple companies. I am Fellow of Higher Education Academy, holder of Post-Graduate Certificate, IEEE member, BMVA member, AAAI member and IARP associate member.

I have been a Associate Professor in AI at University of Greenwich, UK. I have worked as Research Scientist at Deep Render Ltd (image and video compression). I have been Consultant at FaceSoft Ltd (affect recognition and generation) and at Cogitat Ltd (decoding people’s music-listening brain states).

I obtained the Ph.D. from Imperial College London, where I was a member of the iBUG group and recipient of the prestigious Teaching Fellowship of Imperial College London. I received the M.Sc. from Imperial College London and the Diploma/M.Sc. from the National Technical University of Athens.

Dimitrios Kollias
Assistant Professor in AI at QMUL
Member: Centre of Multimodal AI
Affiliate Member: Centre for Human Centred Computing
Member: Centre for Predictive in vitro Models
Member: Multimedia and Vision group
Member: Computer Vision group
Fellow: Digital Environment Research Institute
Associate Member: Centre for Advanced Robotics
Member: Center of Digital Environment
Member: Health Data in Practice Theme
Member: Centre for Intelligent Sensing

Email: [email protected]
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Research

My research and interests span the areas of multimodal (image/video, audio, text, time series, sensors) machine and deep learning, trustworthy (fair, responsible, explainable and ethical) AI, data science and big data, computer vision, affective computing, behavior analysis & generation, digital humans, human machine interaction, medical imaging, mental health & healthcare.

I have co-authored more than 60 publications in the top journals and conferences, such as IJCV, CVPR, ICCV, ECCV, AAAI, TAFFC, ECAI and Neurocomputing. I am inventor of the 'Facial Behaviour Analysis' (2021) patent. I have h-index 36, with over 5190 citations. For a complete list of my publications check my google scholar.

My research has been funded and used by many top international companies. I was awarded the 'Sullivan Thesis Prize' by British Machine Vision Association & Society for Pattern Recognition (BMVA) at BMVC 2023, a Prize for UK researchers, based on their Thesis’ originality, academic and industrial impact, breadth & depth. I am listed in the most recent edition (for 2023) of the Stanford-Elsevier ranking of the World’s Top 2% Scientists, where I am ranked: i) 31,716 out of 223,152 Top Scientists (among all disciplines and fields) globally; ii) 1,275 out of 399,064 Top Scientists in AI & Image Processing globally.

I have been: i) General Chair of the ABAW series of Workshops and Competitions in CVPR 2024, 2023 & 2022, ECCV 2024 & 2022, ICCV 2021 and IEEE FG 2020; ii) co-Organizer & Chair of the DEF-MIA-COV19D series of Competitions and Workshops in CVPR 2024, IEEE ICASSP 2023, ECCV 2022 and ICCV 2021; iii) co-Organizer of MRAC and REACT Workshops in ACM-MM 2024 & 2023; iv) Co-organizer of Deepfakes Detection Grand Challenge at ACM-MM 2024.

I am Associate Editor of IEEE Transactions on Affective Computing and topical advisory member of Electronics. I serve as program committee member and reviewer for top-tier conferences and journals, including CVPR, TPAMI, Nature, ECCV, AAAI, ICCV, ICML, TIP, TNNL, and ECAI. I evaluate grant proposals for prestigious organizations such as Peer Review College, EPSRC, MRC, NIHR, EU Commission, NSERC, QNRF.