Researcher
Ayana Mussabayeva
ML researcher (causal representation learning for neuroscience)
Abu-Dhabi, Kazakhstan
Research focus
MBZUAIAbu-Dhabi, Kazakhstan
Causal representation learning and foundation models for neuroscience
ML
CRL
causality
neroscience
Collaboration interests
Public collaboration signals submitted through this research profile.
Education
PhD, Machine Learning, Mohamed bin Zayed University of Artificial Intelligence (2024-present)
MPhil, Applied Mathematics, University of Manchester (2021-2023)
Master of Science in Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University (2019-2021)
Bachelor of Engineering in Automation and Control, Faculty of Information Technology, Kazakh-British Technical University (2015-2019)
Publications
Approved public publications linked to this researcher profile.
- Open
Subject-Independent P300 Speller Classification using Time-Frequency Representation and Double Input CNN with Feature Concatenation
2023 24th International Conference on Digital Signal Processing (DSP) - 2023 - Crossref10 citations - Open
Ensemble Voting-Based Multichannel EEG Classification in a Subject-Independent P300 Speller
Applied Sciences - 2021 - Crossref09 citations - Open
Ensemble Learning Approach for Subject-Independent P300 Speller
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - 2021 - Crossref06 citations - Open
Comparison of Generic and Subject-Specific Training for Features Classification in P300 Speller
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference - 2020 - OpenAlex02 citations
Regional connection
DSML member
From Kazakhstan
Works on Kazakhstan datasets or problems
Open to Central Asia collaborations