Foteini Liwicki

About me

I am a pationate lifelong learner researcher, seeking to expand my knowledge in the field of Neuroscience, fascinating of the curiosity of my brain to learn how itself -brain- is working. Since I remember my self, always wanted to be an inventor External link, opens in new window..

Since 2022, we have build a new focus area in Brain analysis Opens in new window. with a special focus in supporting verbal communication for people suffering from Amyotrophic Lateral Sclerosis (ALS), general language disabilities and aging. Our team consists of:
Rajkumar Saini
Debashis Das Chackladar
Kanjar De (exteranl collaborator)

Biography

Foteini Simistira Liwicki received her Ph.D. diploma from the School of Electrical and Computer Engineering, NTUA External link, opens in new window., Greece, in the field of Pattern Recognition in 2015 with the title “Recognition of online handwritten mathematical expressions”. A web based demonstrator of the mathematical expression recongition tool is available here External link..

From 1997 till 2015, she worked as Research Associate in the Institute of Language and Speech Processing, ATHENA R.C., where she was mainly responsible for research programs in the field of Pattern Recognition, Machine Learning and Natural Language Processing. She was also highly involved in the design and development of innovative educational platforms (targeting mainly high school education in Greece but also in other European countries). From 2015 till June 2019 she worked as a PostDoc fellow in the University of Fribourg (DIVA External link. ) in the field of Document Image Analysis and Database generation. From June 2018 till June 2019 she worked as a PostDoc fellow with the Machine Learning group at the Luleå University of Technology, Sweden.

From May 2022, she is working as Associate Professor at the Luleå University, in the area of Machine Learning and Artificial Intelligence.

Main research focus

• Brain data analysis
• Inner speech decoding
• Handwriting recognition

Reviewer in: She serves as a reviewer in international scientific journals and conferences (e.g. Scientific Data, Pattern Recognition Letters, DAS, ICFHR, ICDAR).

Member of: ENCALS External link, opens in new window.

Medical Neuroscience by Duke University on Coursera. Certificate earned at Wednesday, July 3, 2019 11:09 AM GMT, certificate External link.

Projects

2023-2024, Bimodal synchronous electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition

2022, Bimodal asynchronous electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition, publication link External link., dataset link External link., github link External link.

Professional activities

• Education officer of the International Association for Pattern Recognition (IAPR) Technical Committee Number 11: Reading Systems link External link, opens in new window.
• Institute of Document Analysis and Knowledge Science, Kyoto, Japan, link External link, opens in new window.
• General chair of the 18th International Conference on Document Analysis and Recognition 2024, ICDAR2024 External link, opens in new window.
• Competition organizer of ICDAR2023 Competition on Recognition of Handwritten Mathematical Expressions CROHME 2023, part of ICDAR 2023 External link.
• Competition chair of the 16th International Conference on Document Analysis and RecognitionICDAR2021 External link.
• Competition organiser of the ICDAR 2019 Historical Document Reading Challenge on Large Structured Family Records, link Opens in new window.
• Competition organiser of the ICDAR2017 Competition on layout analysis for challenging medieval manuscripts, link External link, opens in new window.
• Program Committee member of 16th International Conference on Document Analysis and Recognition, ICDAR2021 External link.
• Program Committee member of 25th International Conference on Pattern Recognition, ICPR2020 External link.
• Program Committee member of 14th International Workshop on Document Analysis Systems, DAS2020 External link.
• Program Committee member of 17th International Conference on Frontiers of Handwriting Recognition, ICFHR2020 External link.
• Program Committee member of 15th International Conference on Document Analysis and Recognition, ICDAR2019 External link.
• Program Committee member of 2nd International Workshop on Open Services and Tools for Document Analysis, ICDAR-OST External link.
• Program Committee member of 13th International Workshop on Document Analysis Systems, DAS2018 External link.
• Program Committee member of 14th International Conference on Document Analysis and Recognition, ICDAR2017 External link, opens in new window.
• Program Committee member of 1st International Workshop on Open Services and Tools for Document Analysis, ICDAR-OST External link, opens in new window.

Evaluation of PhD theses

• 2019 - External examiner for Stefano Martina - PhD Thesis - Classification of cancer records with deep learning methods, University of Florence, Italy
• 2019 - External examiner for Qurat ul Ain - PhD Thesis - Segmentation of Urdu Nastalique, University of Engineering and Technology Lahore, Pakistan

Awards

• 2023-2025: Kompetensutveckling till professor, dnr LTU-154-2023 link External link, opens in new window.
• 2022: Grants for Excellent Research Projects Proposals of SRT.ai 2022
• 2020-2021: Ansökan juniora lovande forskare, dnr LTU-4449-2019

Teaching/Supervision

Courses

Advanced Data Mining (D7043E), link External link.
Introduction to Artificial Intelligence (D0030E), link External link.

PhD students

• present, Christian Gunther (main-supervisor), Machine Learning applied on Drill Core Analysis
• present, Filip Siman (co-supervisor), Lithostratigraphy and alteration at the Rävliden VMS deposit
• present, Pedro Alonso (co-supervisor), Intent classification
• 2023, Mattias Nilsson (co-supervisor), Event-Driven Architectures for Heterogeneous Neuromorphic Computing Systems, link External link, opens in new window.
• 2022, Oluwatosin Adewumi (co-supervisor), Vector Representations of Idioms in Data-Driven Chatbots for Robust Assistance, link External link, opens in new window.
• 2022, Priyamvada Shankar (co-supervisor), Data driven crop disease modeling, link External link, opens in new window.

Master students

• present, Nathan Hiruy, Real time BCI using motor imagery paradigm.
• 2023, Maxime Arnaud, Inner speech detection using bimodal inner speech dataset.
• 2022, Valeria Buenrostro-Leiter, Fellipe Rollin, Brain Signal Analysis for Inner detection, link External link..
• 2022, Lisa Jonsson, Using machine learning to analyse EEG brain signals for inner speech detection, link External link..

In media

• 2024-01-26, UR Sverige forskar, Tankeläsning med AI? External link.
• 2023-05-04, Forskning & Framsteg External link.
• 2023-05-09, Dagens ETC External link.
• 2023-04-20, Invited Keynote Speaker, Title: Combining EEG and fMRI for inner speech decoding, BCI & NEUROTECHNOLOGY SPRING SCHOOL 2023, organized by g.tec link External link.
• 2023-03-18 till 2023-03-25, Invited associate professor at the University of Nantes, France, link External link.
• 2022-11-16, Speaker: Inner speech recognition – Toward speech prosthesis, MIRAI 2.0 Research and Innovation Week, Kyushu University, Japan, link External link, opens in new window.
• 2022-05-28, Speaker: Using machine learning to analyse brain data, online event, MIRAI, link External link, opens in new window.

Book chapters

• Simistira Liwicki, F. and Liwicki, M., 2020. Deep learning for historical document analysis. In Handbook Of Pattern Recognition And Computer Vision (pp. 287-303).
• Simistira Liwicki, F., 2020. DIVA-HisDB A Precisely Annotated Dataset of Challenging Medieval Manuscripts. Handwritten Historical Document Analysis, Recognition, And Retrieval-State Of The Art And Future Trends, 89, p.25.

Preprint

• Simistira Liwicki, Foteini, et al. "Bimodal pilot study on inner speech decoding reveals the potential of combining EEG and fMRI." bioRxiv (2022). pdf External link.

Publications of Foteini Liwicki (Google Scholar) External link.