Machine Learning

Main research areas: Machine learning, data mining, pattern recognition.
Main topics: Clustering, intelligent location-aware systems, GPS track analysis, web mining, social networks, recommendation systems, speech technologoy, voice biometrics.

Biomedical Image Analysis

01.11.2016 -
Rapid advances in non-invasive neuroimaging methods have revolutionized the possibilities to study changes occurring in living brain across a variety of time-scales ranging from seconds to an entire life span. A large part of these advances can be attributed to the development of dedicated comput...

Biomedical Informatics

We make use of large-scale biomedical data, such as genetics, genomics, transcriptomics and biological knowledge bases, and data mining algorithms to build applications for biomedical research.

Computational speech group

08.10.2017 -
Main topic of our group is speaker recognition: the task of connecting speech sample to an identity (who is speaking?). We work on improving both robustness (improved accuracy under varied channel, noise and other disturbances) and security of such systems (detection of representation attacks, al...

Isaac Afara

Academy Research Fellow , Department of Applied Physics