Georgios Rizos is a doctoral candidate at Imperial College London, UK, working on deep uncertainty quantification of multimodal data as a member of the Group on Language, Audio, and Music (GLAM). His PhD work is supervised by Dr. Björn Schuller and funded by the prestigious President's Scholarship of Imperial College London (EPSRC Grant No. 2021037).
Between 2013 and 2017, he was a research assistant at the Information Technologies Institute of the Centre for Research and Technology Hellas (CERTH-ITI), working on machine learning for online social network data as part of the Multimedia Knowledge and Social Media Analytics Lab (MKLab), and supervised by Drs. Symeon Papadopoulos and Ioannis Kompatsiaris.
Georgios holds a diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece (2012), and an MSc with distinction in Biomedical Engineering from Imperial College London (2013).
Research interests include analysis of multimodal data (vision, audio, text, graphs), quantification of different factors of predictive uncertainty, and application thereof on active and reinforcement learning.
For a detailed CV in PDF form, please contact me.
(Last update 09-09-2021.)
PhD in Computing @GLAM
Oct 2017 - Jan 2022 (expected)
Advised by Dr. Björn Schuller on Deep Multi-Factor Uncertainty Modelling
MSc with distinction in Biomedical Engineering @B&BLab
Sep 2012 - Sep 2013
Advised by Dr. Aldo Faisal on Model-based Reinforcement Learning for Drug Delivery
MEng in Electrical & Computer Engineering @CSALab
Sep 2005 - Sep 2012
Advised by Dr. Nikos Pitsianis on Fast Local Correlation Coefficients (FLCC) Library
AI Algorithm R&D Intern
Sep 2020 - Dec 2020
Research Assistant @MKLab
Dec 2013 - Jul 2017
Advised by Dr. Symeon Papadopoulos and Dr. Ioannis Kompatsiaris
Intern Software Engineer
Mar 2012 - May 2012
(Accepted) Poisson CNN: Convolutional Neural Networks for the Solution of the Poisson Equation
with Varying Meshes and Dirichlet Boundary Conditions [paper]
Ozbay, A. G., Hamzehloo, A., Laizet, S., Tzirakis, P., Rizos, G. & Schuller, B.
In Data Centric Engineering (2021)
Multilabel User Classification Using the Community Structure of Online Networks [paper]
(First) Rizos, G., Papadopoulos, S., & Kompatsiaris, Y.
In PloS one (2017, March) (2017 IF: 2.766)
(Accepted) What Makes a Scientific Paper be Accepted for Publication? [arxiv]
Fytas, P., Rizos, G., & Specia, L.
In EMNLP CI+NLP 2021, November
(Accepted) Evaluating Deep Music Generation Methods Using Data Augmentation
Godwin, T., Rizos, G., Baird, A., Al Futaisi, N., Brisse, V. & Schuller, B.
In MMSP 2021, October
(Accepted) Towards Sonification in Multimodal and User-friendly Explainable Artificial Intelligence
Schuller, B., Virtanen, T., Riveiro, M., Rizos, G., Han, J., Mesaros, A., & Drossos, K.
In ICMI 2021, October (Blue Skies Track 2nd place award)
Multi-Attentive Detection of the Spider Monkey Whinny in the (Actual) Wild [paper]
(Co-first) Rizos, G., Lawson, J., Han, Z. Butler, D., Rosindell, J., Mikolajczyk, K., Banks-Leite, C., & Schuller, B.
In Interspeech 2021, August
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation [paper]
He, X., Chen, J., Rizos, G., & Schuller, B.
In Interspeech 2021, August
Uncertainty Aware Review Hallucination for Science Article Classification [paper]
(Co-first) Rizos, G., Friedl, K., Stappen, L., Hasan, M., Specia, L., Hain, T., & Schuller, B.
In ACL-IJCNLP 2021, August
MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop [arxiv]
Stappen, L., Baird, A., Rizos, G., Tzirakis, P., Du, X., Hafner, F., Schumann, L., Mallol-Ragolta, A., Schuller, B., Lefter, I., Cambria, E., & Kompatsiaris, Y.
In ACM MM 2020, October
X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild [paper]
Stappen, L., Rizos, G., & Schuller, B.
In ICMI EmotiW 2020, October
Deep Attentive End-to-End Continuous Breath Sensing from Speech [paper]
(Co-first) Rizos, G., MacIntyre, A., Batliner, A., Baird, A., Amiriparian, S., Hamilton, A., & Schuller, B.
In Interspeech 2020, September
Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus [paper]
(Co-first) Rizos, G., Stappen, L, Hasan, M., Hain, T., & Schuller, B.
In Interspeech 2020, September
The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks [paper]
Schuller, B., Batliner, A., Bergler, C., Messner, E.M., Hamilton, A., Amiriparian, S., Baird, A., Rizos, G., Schmitt, M., Stappen, L., Baumeister, H., MacIntyre, A., & Hantke, S.
In Interspeech 2020, September
Average Jane, Where Art Thou? – Recent Avenues in Efficient Machine Learning under Subjectivity Uncertainty [paper]
(First) Rizos, G., & Schuller, B.
In IPMU 2020, June
StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition [paper]
(First) Rizos, G., Baird, A., Elliot, M., & Schuller, B.
In ICASSP 2020, May
Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech
Classification [paper] [blog]
(Co-first) Rizos, G., Hemker, K., & Schuller, B.
In CIKM 2019, November (20% acceptance rate)
Modelling Sample Informativeness for Deep Affective Computing [paper]
(First) Rizos, G., & Schuller, B.
In ICASSP 2019, July
Predicting News Popularity by Mining Online Discussions [paper] [blog]
(First) Rizos, G., Papadopoulos, S., & Kompatsiaris, Y.
In WWW SNOW 2016, April
Fast Computation of Local Correlation Coefficients on Graphics Processing Units [paper]
Papamakarios, G., Rizos, G., Pitsianis, N. P., & Sun, X.
In SPIE Optical Engineering+ Applications 2009, August
Learning to Classify Users in Online Interaction Networks [paper]
(First) Rizos, G., Papadopoulos, S., & Kompatsiaris, Y.
In ICCSS 2015, June
I have helped in tutoring & marking as a Teaching Assistant at Imperial College. In cases, I have led small group tutorials or helped develop tutorial & assignment material
I have supervised a number of practical sessions for the Machine Learning and Data Science Workshop 2020 organised by Cantab Academy Ltd.