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Georgios Rizos is a machine learning researcher focusing on uncertainty-aware deep learning. He has worked on applications related to healthcare, bioacoustics, and online social network analysis.

Academic interests

Georgios Rizos’s academic interests include: 

• Uncertainty-aware deep learning
• Machine learning for audio signal modelling
• Responsible machine learning and artificial intelligence.

Degrees obtained

• MEng, Electrical and Computer Engineering, Aristotle University of Thessaloniki.
• MSc, Biomedical Engineering, Imperial College London.
• PhD (pending), Computing, Imperial College London.

Biography

Georgios Rizos is a research associate at the Mobile Systems Research Laboratory, headed by Dr. Cecilia Mascolo. He is working on robust learning of audio representations aimed at digital healthcare and diagnostics.

Previously, he was 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 was 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 Dr Symeon Papadopoulos and Dr 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).

Other interests

Running, kickboxing, cinema, and SFF literature.