RUTKOWSKI Tomasz Maciej

ルトコフスキトマシュマチェイ | RUTKOWSKI Tomasz Maciej

Affiliation and department：
Job title： Research Scientist
Other affiliations (2)：

The University of Tokyo Graduate School of Education (Division of Educational Psychology) Research Fellow
Nicolaus Copernicus University, Torun, Poland Department of Cognitive Science Research Fellow

Homepage URL (2)： https://tomek.bci-lab.info/home/japanese , http://tomek.bci-lab.info

Research field (6)： Computational science , Biomedical engineering , Biological, health, and medical informatics , Medical systems , Human interfaces and interactions , Neuroscience - general

Research keywords (5)： Digital Pharma , Digital Biomarkers , Aging brain and dementia , Artificial Intelligence (AI) , Brain-computer Interface (BCI)

Research theme for competitive and other funds (3)：

2011 - 2013 Innovation of multi-channel EEG signal processing technology for BMI development by fusion of information science and brain science
2012 - 2012 An explorative study of the creative process of improvisational dance from the perspective of Brain Science and Cognitive Science
2009 - 2011 Data-Driven Multichannel Signal Processing for Brain Computer Interfacing

Papers (193)：

Rutkowski TM, Komendziński T, Mihoko Otake-Matsuura. Mild cognitive impairment prediction and cognitive score regression in the elderly using EEG topological data analysis and machine learning with awareness assessed in affective reminiscent paradigm. Frontiers in aging neuroscience. 2024. 15
Rutkowski TM, Abe MS, Sugimoto H, Otake-Matsuura M. Mild Cognitive Impairment Detection with Machine Learning and Topological Data Analysis Applied to EEG Time-series in Facial Emotion Oddball Paradigm. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2023
Tomasz M. Rutkowski, Masato S. Abe, Tomasz Komendzinski, Hikaru Sugimoto, Stanislaw Narebski, Mihoko Otake-Matsuura. Machine learning approach for early onset dementia neurobiomarker using EEG network topology features. Frontiers in Human Neuroscience. 2023. 17
Birgitta Dresp-Langley, Tomasz Maciej Rutkowski, Simone Toma. Editorial: Methods and applications in: Cognition. Frontiers in Psychology. 2023. 14
Tomasz M. Rutkowski, Stanislaw Narebski, Piotr Bekier, Tomasz Komendzinski, Hikaru Sugimoto, Mihoko Otake-Matsuura. Cross-cultural Evaluation of Dementia Passive BCI Neuro-biomarker Candidates. 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS). 2022

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MISC (17)：

Tomasz M. Rutkowski, Masato S. Abe, Marcin Koculak, Mihoko Otake-Matsuura. Cognitive Assessment Estimation from Behavioral Responses in Emotional Faces Evaluation Task -- AI Regression Approach for Dementia Onset Prediction in Aging Societies. NeurIPS Joint Workshop on AI for Social Good - Track 1 - Producing Good Outcomes. 2019. 1-4
Tomasz M. Rutkowski, Marcin Koculak, Masato S. Abe, Mihoko Otake-Matsuura. Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2019. 2019-May. 8578-8582
Tomasz M. Rutkowski, Qibin Zhao, Masao S. Abe, Mihoko Otake. AI Neurotechnology for Aging Societies -- Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods. 2018
Tomasz M. Rutkowski. Robotic and Virtual Reality BCIs Using Spatial Tactile and Auditory Oddball Paradigms. Frontiers in Neurorobotics. 2016. 10. DEC
Tomasz M. Rutkowski. Visual Motion Onset Brain--computer Interface. 2016

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Books (2)：

Brain-Computer Interface Research - A State-of-the-Art Summary 3
Springer International Publishing 2014
Single Trial BCI Classification Accuracy Improvement for the Novel Virtual Sound Movement-based Spatial Auditory Paradigm
IEEE 2013

Lectures and oral presentations (9)：

Spatial auditory BCI spellers using real and virtual surround sound systems
(Conference on Systems Neuroscience and Rehabilitation (SNR2015) 2015)
Novel spatial tactile and bone-conduction auditory brain computer interface
(Society for Neuroscience Annual Meeting 2013 2013)
コヒーレンス解析による定常状態誘発反応の可聴化
(音講論集___2002/10/2_919-922 2012)
Steady-state auditory responses application to BCI/BMI
(____2.2 2012)
Spatial auditory BCI/BMI paradigm
(____2.1 2012)

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Works (12)：

Tactile-body BCI (tbBCI) control of a robot hand
Rutkowski, Tomasz Maciej
Virtual reality walk using tactile and bone-conduction auditory BCIs
Rutkowski, Tomasz Maciej
Virtual reality walk using tactile bone-conduction auditory BCI
Rutkowski, Tomasz Maciej
Tactile-force BCI (tfBCI) developed at bci-lab.info by Shota KONO and Tomasz M. Rutkowski
Rutkowski, Tomasz Maciej
BdM Rehearsal for NIME2013
Rutkowski, Tomasz Maciej

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Professional career (1)：

PhD in Technology (Wroclaw University of Technology)

Work history (12)：

2024/06 - 現在 Nicolaus Copernicus University, Torun, Poland Department of Cognitive Science Research Fellow
2024/06 - 現在 RIKEN Center for Advanced Intelligence Project (AIP) Research Scientist
2021 - 現在 The University of Tokyo The Graduate School of Information Science and Technology
2021 - 現在 Nicolaus Copernicus University
2019 - 現在 The University of Tokyo Graduate School of Education (Division of Educational Psychology)

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Committee career (5)：

2021/07 - 現在 Japan Science and Technology Agency (JST) Marie Sklodowska Curie Award
2015/01 - BioSiPS Technical Committee Chair
2015/01 - Asia Pacific Signal and Information Processing Association (APSIPA) BioSiPS Technical Committee Chair
2012/12 - 2014/12 Asia Pacific Signal and Information Processing Association (APSIPA) BioSiPS Technical Committee Vice-chair
2012/12 - 2014/12 Asia Pacific Signal and Information Processing Association (APSIPA) BioSiPS Technical Committee Vice-chair

Awards (8)：

2016/07 - The University of Tokyo UTokyo Photography Contest Prize Winner
2015/12 - Asia-Pacific Signal and Information Processing Association (APSIPA) The Best Paper Award of Asia-Pacific Signal and Information Processing Association Annual Conference and Summit 2015 The Best Paper
2015/09 - Brain Informatics & Health The Best Paper Award at 2015 International Conference Brain Informatics & Health The Best Paper
2014/12 - IEEE SCIS & ISIS 2014 Best Student Presentation Award The best student presentation.
2014/09 - Institute of Knowledge Discovery, Graz University of Technology, Austria, and sponsored by g.tec medical engineering GmbH, Austria The Annual BCI Research Award 2014

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Association Membership(s) (4)：

Asia Pacific Signal and Information Processing Association , THE JAPAN NEUROSCIENCE SOCIETY , Society for Neuroscience , Institute of Electrical and Electronics Engineers (IEEE)

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