Personal Information

Organisation: LTU
Position/Category: Associate Professor, Machine Learning group
Phone number: +46722383143

Work Experience:

Associate Professor, Machine Learning group, LTU, Sweden, May 2022 – present
Senior Lecturer, Machine Learning group, LTU, Sweden, 2019 – April 2022
PostDoc fellow at Machine Learning group, LTU, Sweden, 2018 – 2019
PostDoc fellow, DIVA group, University of Fribourg, Switzerland, 2015 – 2019


PhD diploma in the field of Pattern Recognition. Dissertation title “Recognition of online handwritten mathematical expressions”, NTUA, Greece, 2015

Professional Activities:

• Education officer of the International Association for Pattern Recognition (IAPR) Technical Committee Number 11: Reading Systems.
• Competition organizer of ICDAR2023 Competition on Recognition of Handwritten Mathematical Expressions CROHME 2023.
• General chair of the 18th International Conference on Document Analysis and Recognition 2024
• Education leader for the Applied AI programs at LTU.
• Competition chair of the 16th International Conference on Document Analysis and Recognition 2021
• Program Committee of 13th IAPR International Workshop on Document Analysis Systems 2018
• Competition organizer of ICDAR 2019 Historical Document Reading Challenge on Large Structured Family Records (ICDAR-2019-HDRC-Chinese), 2019.
• Competition organizer of ICDAR2017 Competition on layout analysis for challenging medieval manuscripts, 2017.
• Member of Institute of Document Analysis and Knowledge Science (IDAKS).
• Reviewer in international scientific journals and conferences (e.g., Pattern Recognition Letters, DAS, ICFHR, ICDAR).

R&D projects (selection):

• Mining and AI, PhD project fully funded by Boliden AB, 2022 – 2026
• Pilot study on inner speech detection using EE/fMRI data, 2022
• Early detection of dementia with AI, 2022


• Vinnova travel grant for MIRAI2.0 Research and Innovation week, 2022, Japan
• Grants for Excellent Research Projects Proposals of 2022
• 2020-2021: Ansökan juniora lovande forskare, dnr LTU-4449-2019

Publications (selection):

• Foteini Simistira Liwicki et al., 2022. Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition. bioRxiv 2022.05.24.492109; doi:
• Foteini Simistira Liwicki, et al., 2022. Rethinking the Methods and Algorithms for Inner Speech Decoding – and Making them Reproducible. Feature Papers in Neuroscience.
• Rajkumar Saini, Foteini Simistira Liwicki et al., 2022. Imagined object recognition using EEG-based neurological brain signals. Recent Trends in Image Processing & Pattern Recognition, Springer.
• Sumit Rakesh, Foteini Simistira Liwicki et al., 2021. Emotions classification using EEG in Healthcare. International Conference on Computer Vision and Machine Intelligence.

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