Dr Dimitrios Kollias

Dr Dimitrios Kollias Diploma/MSc, MSc and PhD

Senior Lecturer in Computer Science (Artificial Intelligence)

Key details

Dr Dimitrios Kollias

Senior Lecturer in Computer Science (Artificial Intelligence)


Dimitrios Kollias, Fellow of the Higher Education Academy, holder of a Post-Graduate Certificate and member of the IEEE, is currently a Senior Lecturer in Computer Science (AI) with the School of Computing and Mathematical Sciences, University of Greenwich.

Dimitrios has been the recipient of the prestigious Teaching Fellowship of Imperial College London (2016-2020). He has obtained the Ph.D. from the Department of Computing, Imperial College London (2020), where he was a member of the iBUG group. Prior to this, he received the M.Sc. in Advanced Computing from the Department of Computing of Imperial College London (2016) and the Diploma/M.Sc. in Electrical and Computer Engineering from the ECE School of the National Technical University of Athens, Greece (2015).

He has worked as Research Scientist at Deep Render Ltd on deep learning based image/video compression; he has been Consultant at FaceSoft Ltd on deep learning based affect recognition and generation; he has collaborated with Realeyes Company on machine learning based affect and attention methodologies. Two patents have been generated and filed.

His research interests span the areas of Machine and Deep Learning, Artificial Intelligence, Data Science, Computer Vision, Behaviour Analysis and Affect Recognition, Human Computer Interaction, Medical Imaging and Healthcare, Big Data Analysis and Social Networks.

Some Useful Links:

https://orcid.org/0000-0002-8188-3751

https://scholar.google.co.uk/citations?user=360Gmc0AAAAJ&hl=en&oi=ao

Awards

  • Teaching Scholarship from Department of Computing, Imperial College London, (2016-2021)
  • 2nd position in the OMG-Emotion Challenge for Valence Estimation using Visual Data, held in conjunction with IJCNN (2018)
  • Grant by the City and Guilds College Association, London, UK (2018)
  • Grant by Imperial College Trust General Funds (2018)
  • Award by Complex & Intelligent Systems for our published journal paper (2018)
  • Hellenic 'Thomaidion Award' for journal paper published in Complex Intelligent Systems (2018)
  • Hellenic 'Thomaidion Award' for conference paper presented at IEEE SSCI, Hawaii, USA (2017)
  • Awards by the Greek Ministry of National Education and Religious Affairs (2004-2010)

Recognition

Workshop and Competition Chair:

'Affective Behavior Analysis in-the-wild Competition', held in conjunction with IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020

'Affect Recognition in-the-wild: Uni/Multi-Modal Analysis & VA-AU-Expression Challenges', Workshop, held in conjunction with IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020

'First Faces in-the-wild Workshop-Challenge', Administration, held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

Program Committee & Reviewer in International Conferences:

IEEE Conference on Computer Vision and Pattern Recognition (CVPR); IEEE European Conference on Computer Vision (ECCV); IEEE AAAI Conference on Artificial Intelligence (AAAI); IEEE International Conference on Computer Vision (ICCV); European Conference on Artificial Intelligence (ECAI); Winter Conference on Applications of Computer Vision (WACV); Asian Conference on Computer Vision (ACCV); International Conference on Affective Computing & Intelligent Interaction (ACII); International Conference On Smart Living and Public Health (iCOST); International Conference on Artificial Intelligence Applications and Innovations (AIAI); International Conference on Engineering Applications of Neural Networks (EAAN)


Reviewer in International Journals:

IEEE Transactions on Neural Networks and Learning (TNNL); IEEE Transactions on Affective Computing (TAC); Pattern Recognition; Neurocomputing; Neural Networks; Computer Vision and Image Understanding (CVIU); International Journal on Artificial Intelligence Tools (IJAIT); IEEE Journal of Biomedical and Health Informatics (JBHI)

Peer-Reviewer for evaluation of proposal submissions for grant financing:
  • National Centre of Science and Technology Evaluation (NCSTE)
  • Foundation for Polish Science (FNP)
  • Enterprise Ireland
  • European Commission
Student Supervision & Mentoring:
  • 5 Undergraduate & 12 Master students (Imperial College London)
  • 5 Undergraduate & 2 Ph.D. students (National Technical University of Athens)
Memberships/Other:
  • Fellow of the Higher Education Academy (FHEA)
  • IEEE member
  • IEEE Young Professionals
  • IEEE SIGHT
  • IEEE Computational Intelligence Society Membership
  • Member of the Technical Chamber of Greece

Research / Scholarly interests

His main research work has been in the field of Machine and Deep Learning and Artificial Intelligence, applied to: (i) Computer Vision, Affect Analysis, Recognition and Generation in-the-wild (i.e., in real life unconstrained environments);              (ii) disease (Parkinsons', Covid-19) prediction and early diagnosis based on medical imaging (MRI, DatScans, Chest CT Scans, x-rays); (iii) lossy and lossless image and video compression, including GAN-based enhancement modules.

His research interests span the area of Artificial Intelligence (AI) and Machine Learning (ML) and applications in Computer Vision, Behavior Modelling and Human Machine Interaction, Data Science and Healthcare. These include Deep Neural Networks and Learning Algorithms, Bayesian Estimation, Statistical Learning, Data Mining and Machine Learning coupled with Knowledge-based Inferencing. The applications include Multimodal Data (text, visual, audio, music, EEG) Analysis, Recognition and Generation, Face Analysis, Age Estimation, Recommender Systems, Medical Imaging & Healthcare, Cybersecurity, Smart Homes and Cities.

Key funded projects

  • He has participated in the 'MyBrainTunes' project at Science Museum on exploring and decoding people's music-listening brain states and deciphering their preferred musical style, Imperial College London, UK, 2020
  • He has participated in the IKY-Siemens project on Emotional and Medical Data Analysis through Machine Learning, NTUA, Greece, 2014-2015

Recent publications

Article

Kollias, Dimitrios and , Zafeiriou, Stefanos P. (2020), Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset. Institute of Electrical and Electronics Engineers (IEEE). In: , , , . Institute of Electrical and Electronics Engineers (IEEE), IEEE Transactions on Affective Computing . pp. 1-12 1949-3045 (Online) (doi: https://doi.org/10.1109/TAFFC.2020.3014171).

Kollias, Dimitrios , Cheng, Shiyang, Ververas, Evangelos, Kotsia, Irene , Zafeiriou, Stefanos (2020), Deep neural network augmentation: generating faces for affect analysis. Springer. In: , , , . Springer, International Journal of Computer Vision, 128 (5) . pp. 1455-1484 ISSN: 0920-5691 (Print), 1573-1405 (Online) (doi: https://dx.doi.org/10.1007/s11263-020-01304-3).

Kollias, Dimitrios , Tzirakis, Panagiotis, Nicolaou, Mihalis A., Papaioannou, Athanasios , Zhao, Guoying , Schuller, Björn , Kotsia, Irene , Zafeiriou, Stefanos (2019), Deep affect prediction in-the-wild: aff-wild database and challenge, deep architectures, and beyond. Springer. In: , , , . Springer, International Journal of Computer Vision, 127 (6-7) . pp. 907-929 ISSN: 0920-5691 (Print), 1573-1405 (Online) (doi: https://dx.doi.org/10.1007/s11263-019-01158-4).

Kollias, Dimitrios , Tagaris, Athanasios, Stafylopatis, Andreas, Kollias, Stefanos , Tagaris, Georgios (2017), Deep neural architectures for prediction in healthcare. Springer. In: , , , . Springer, Complex & Intelligent Systems, 4 (2) . pp. 119-131 ISSN: 2199-4536 (Print), 2198-6053 (Online) (doi: https://dx.doi.org/10.1007/s40747-017-0064-6).

Conference item

Kollias, Dimitrios and , Zafeiriou, Stefanos (2019), Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace. BMVA Press. In: 30th British Machine Vision Conference 2019, BMVC 2019, September 9-12, 2019, Cardiff, UK , . BMVA Press, . pp. 1-15 (doi: https://bmvc2019.org/programme/detailed-programme/).