Georgios Rizos - Doctoral Candidate at Imperial College

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.)


Imperial College London, UK

PhD in Computing @GLAM

Oct 2017 - Jan 2022 (expected)

Advised by Dr. Björn Schuller on Deep Multi-Factor Uncertainty Modelling

  • First or co-first author in 8 published/accepted papers
  • Contributed to the organisation of 2 machine learning challenges
  • Awarded the prestigious, full President’s scholarship by Imperial College [Q/A]
  • Helped supervise 13 MSc/BSc theses and 3 undergraduate placements
  • Worked as a teaching assistant in 7 courses (BSc & MSc Computing)

Imperial College London, UK

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

Aristotle University of Thessaloniki, Greece

MEng in Electrical & Computer Engineering @CSALab

Sep 2005 - Sep 2012

Advised by Dr. Nikos Pitsianis on Fast Local Correlation Coefficients (FLCC) Library


Huawei Technologies Research and Development UK Limited

AI Algorithm R&D Intern

Sep 2020 - Dec 2020

  • Deep learning modelling of speech audio data

Information Technologies Institute (CERTH-ITI)

Research Assistant @MKLab

Dec 2013 - Jul 2017

Advised by Dr. Symeon Papadopoulos and Dr. Ioannis Kompatsiaris

  • 1 journal article, 1 workshop paper, and 1 extended abstract
  • Machine learning, and graph data analysis for online social media research
  • Participation in European Commision projects: STEP H2020 and REVEAL FP7
  • User requirements adaptation, R&D, project deliverables, integration
  • Collaboration with end users, researchers and software engineers

Veltio Greece Ltd

Intern Software Engineer

Mar 2012 - May 2012

  • Core C++ data analysis library development
  • Exposing core library API through Python



(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

Conference (no proceedings) / Abstract

Learning to Classify Users in Online Interaction Networks [paper]
(First) Rizos, G., Papadopoulos, S., & Kompatsiaris, Y.
In ICCSS 2015, June



  • IEEE - Transactions on Cybernetics (IF: 8.803): 2
  • Elsevier - International Journal of Approximate Reasoning (IF: 2.696): 1
  • Elsevier - Information Systems (IF: 1.832): 1
  • IET - Signal Processing (IF: 1.298): 1
  • IEEE - Transactions on Emerging Topics in Computational Intelligence (IF: 0.660): 1
  • Springer - Iranian Journal of Science and Technology, Transactions of Electrical Engineering (IF: 0.107): 1

PC Member

  • SocInfo ’14,’15,’16,’17, COMPSAC/HCSC ’16,’17,’18 WWW/SNOW ’16,’17, ESCSS ’17, ICCSS ’18,’19, ACL ’20.

Officially subreviewed

  • MMM ’15, ECIR ’15,’17, ICMR ’17, ICWSM ’20.

Honors, Awards, and Scholarships

  • Awarded Travel Grant for Interspeech 2021, ISCA, 2021
  • Awarded the full President’s scholarship, Imperial College London, 2017
  • Offered the full HiPEDS CDT scholarship, Imperial College London, 2017
  • Distinction in MSc in Biomedical Engineering, Imperial College London, 2013
  • Awarded merit-based funding for short industrial placement during MEng, Aristotle University Thessaloniki, 2012
  • The Great Moment for Education: Award for outstanding performance in the Greek National Exams, Eurobank EFG Group, Greece, 2005


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

  • Computing MSc: Deep Learning, 2019-2020
  • 2nd year Computing BSc: Probability and Statistics, 2018 and Computational Techniques, 2018
  • 1st year Computing BSc: Mathematical Methods, 2018 and Hardware, 2018-2019

I have supervised a number of practical sessions for the Machine Learning and Data Science Workshop 2020 organised by Cantab Academy Ltd.