Dr. Ricardo Chavarriaga
Dr. Ricardo Chavarriaga
ZHAW
School of Engineering
Responsible AI Innovation Group
Technikumstrasse 71
8400 Winterthur
Arbeit an der ZHAW
Tätigkeit
- Leitung, Responsible AI Innovation
- Leitung, CLAIRE Office Zürich
- Redner
- Consultant, mentor, networker
Lehrtätigkeit
- BSc module Reinforcement Learning
- MSc EVA Module Artificial Intelligence Seminar
- MSc EVA Module Machine Intelligence Lab
- Gastdozent an verschiedenen Hochschulen und Universitäten im In- und Ausland
Berufserfahrung
- Co-leader, Focus Topic: Responsible AI
Innosuisse - Innovation Booster Databooster
01 / 2023 - heute - Polymath Fellow
Polymath Fellow
04 / 2019 - heute - Chair, Industry Connections Group Neurotechnologies for Brain Machine Interface
IEEE Standards Association
04 / 2017 - heute - Research Scientist, Lecturer
EPFL
01 / 2009 - 08 / 2019 - Research Scientist
Idiap research Institute, Switzerland
01 / 2006 - 12 / 2008
Aus- und Weiterbildung
Ausbildung
- PhD / Computer Science - Computational Neuroscience
EPFL
08 / 2001 - 12 / 2005 - Graduate School / Computer Science
EPFL
09 / 2000 - 07 / 2001 - BSc / Electronics Engineering
Pontificia Universidad Javeriana, Cali, Colombia
07 / 1991 - 03 / 1998
Weiterbildung
- EPFL, Switzerland
Certificate of Advanced Studies (CAS) in Management of Biotech, Medtech, and Pharma Ventures.
12 / 2019 - PMI, USA
Professional Project Management (PMP) Certification
06 / 2019
Netzwerk
Mitglied in Netzwerken
- CLAIRE - Confederation of Laboratories for AI Research in Europe (Head of Zürich office)
- IEEE Standards Association group on Neurotechnologies for brain-machine interfacing (Chair)
- Brain Computer Interface Society
- IEEE Brain Initiative (Core group member)
- CLAIRE, the Confederation of Laboratories for Artificial Intelligence Research in Europe
- Databooster -co-lead Focus Topic: Responsible AI
- IEEE Standards Association group P7700 Recommended Practice for the Responsible Design and Development of Neurotechnologies (Vice-chair)
- IEEE Standards Association group P2863 Recommended Practice for Organizational Governance of AI (Chair Subgroup on Principles)
- IEEE EMBS, SMC, Brain community, Life Sciences community (Senior member)
- Datalab, the ZHAW Data Science Laboratory
- MIT Technology Review Global Panel
ORCID digital identifier
Auszeichnungen
DIZH Fellowship 2020
ZHAW Digital
12 / 2020
Social Media
Projekte
- Brain Research International Data Governance & Exchange - Phase II / Co-ProjektleiterIn / Projekt laufend
- Apéro Digital Event Series / Co-ProjektleiterIn / Projekt laufend
- AI4REALNET – AI for REAL-world NETwork operation / Teammitglied / Projekt laufend
- Stability of self-organizing net fragments as inductive bias for next-generation deep learning / Teammitglied / Projekt laufend
- certAInty – A Certification Scheme for AI systems / ProjektleiterIn / Projekt laufend
- Brain Research International Data Governance & Exchange / Co-ProjektleiterIn / Projekt abgeschlossen
- Enabling Scientific Diplomacy: Preparation of the GESDA Neurotechnology Compass / ProjektleiterIn / Projekt abgeschlossen
- Mobile Inclusion Lab / Co-ProjektleiterIn / Projekt abgeschlossen
- Good practices for responsible development of AI-based applications in healthcare / ProjektleiterIn / Projekt abgeschlossen
- FWA: Visual Food Waste Analysis for Sustainable Kitchens / Teammitglied / Projekt abgeschlossen
Publikationen
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Iwane, Fumiaki; Porssut, Thibault; Blanke, Olaf; Chavarriaga, Ricardo; Millan, Jose Del R.; Herbelin, Bruno; Boulic, Ronan,
2024.
Journal of Neural Engineering.
21(2), S. 026016.
Verfügbar unter: https://doi.org/10.1088/1741-2552/ad2c02
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Iwane, Fumiaki; Sobolewski, Aleksander; Chavarriaga, Ricardo; Millán, José del R.,
2023.
EEG error-related potentials encode magnitude of errors and individual perceptual thresholds.
iScience.
26(9), S. 107524.
Verfügbar unter: https://doi.org/10.1016/j.isci.2023.107524
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Porssut, Thibault; Iwane, Fumiaki; Chavarriaga, Ricardo; Blanke, Olaf; Millán, José Del R.; Boulic, Ronan; Herbelin, Bruno,
2023.
EEG signature of breaks in embodiment in VR.
PLOS ONE.
18(5), S. e0282967.
Verfügbar unter: https://doi.org/10.1371/journal.pone.0282967
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Meng, Lubin; Jiang, Xue; Huang, Jian; Zeng, Zhigang; Yu, Shan; Jung, Tzyy-Ping; Lin, Chin-Teng; Chavarriaga, Ricardo; Wu, Dongrui,
2023.
EEG-based brain-computer interfaces are vulnerable to backdoor attacks.
IEEE Transactions on Neural Systems and Rehabilitation Engineering.
31, S. 2224-2234.
Verfügbar unter: https://doi.org/10.1109/TNSRE.2023.3273214
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Ienca, Marcello; Fins, Joseph J.; Jox, Ralf J.; Jotterand, Fabrice; Voeneky, Silja; Andorno, Roberto; Ball, Tonio; Castelluccia, Claude; Chavarriaga, Ricardo; Chneiweiss, Hervé; Ferretti, Agata; Friedrich, Orsolya; Hurst, Samia; Merkel, Grischa; Molnár-Gábor, Fruzsina; Rickli, Jean-Marc; Scheibner, James; Vayena, Effy; Yuste, Rafael; Kellmeyer, Philipp,
2022.
Towards a governance framework for brain data.
Neuroethics.
15(2), S. 20.
Verfügbar unter: https://doi.org/10.1007/s12152-022-09498-8
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Huggins, Jane E.; Krusienski, Dean; Vansteensel, Mariska J.; Valeriani, Davide; Thelen, Antonia; Stavisky, Sergey; Norton, James J.S.; Nijholt, Anton; Müller-Putz, Gernot; Kosmyna, Nataliya; Korczowski, Louis; Kapeller, Christoph; Herff, Christian; Halder, Sebastian; Guger, Christoph; Grosse-Wentrup, Moritz; Gaunt, Robert; Dusang, Aliceson Nicole; Clisson, Pierre; Chavarriaga, Ricardo; Anderson, Charles W.; Allison, Brendan; Aksenova, Tetiana; Aarnoutse, Erik,
2022.
Workshops of the eighth international brain-computer interface meeting : BCIs: the next frontier.
Brain-Computer Interfaces.
9(2), S. 69-101.
Verfügbar unter: https://doi.org/10.1080/2326263X.2021.2009654
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Dell'Agnola, Fabio; Jao, Ping-Keng; Arza, Adriana; Chavarriaga, Ricardo; Millan, Jose Del R.; Floreano, Dario; Atienza, David,
2022.
Machine-learning based monitoring of cognitive workload in rescue missions with drones.
IEEE Journal of Biomedical and Health Informatics.
26(9), S. 4751-4762.
Verfügbar unter: https://doi.org/10.1109/JBHI.2022.3186625
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Batzianoulis, Iason; Iwane, Fumiaki; Wei, Shupeng; Correia, Carolina Gaspar Pinto Ramos; Chavarriaga, Ricardo; Millán, José del R.; Billard, Aude,
2021.
Communications Biology.
4(1406).
Verfügbar unter: https://doi.org/10.1038/s42003-021-02891-8
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Eke, Damian O; Bernard, Amy; Bjaalie, Jan G; Chavarriaga, Ricardo; Hanakawa, Takashi; Hannan, Anthony J; Hill, Sean L; Martone, Maryann E; McMahon, Agnes; Ruebel, Oliver; Crook, Sharon; Thiels, Edda; Pestilli, Franco,
2021.
International data governance for neuroscience.
Neuron.
110(4), S. 600-612.
Verfügbar unter: https://doi.org/10.1016/j.neuron.2021.11.017
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Delaux, Alexandre; Saint Aubert, Jean‐Baptiste; Ramanoël, Stephen; Bécu, Marcia; Gehrke, Lukas; Klug, Marius; Chavarriaga, Ricardo; Sahel, José‐Alain; Gramann, Klaus; Arleo, Angelo,
2021.
Mobile brain/body imaging of landmark‐based navigation with high‐density EEG.
European Journal of Neuroscience.
54(12), S. 8256-8282.
Verfügbar unter: https://doi.org/10.1111/ejn.15190
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Bontempi, Gianluca; Chavarriaga, Ricardo; De Canck, Hans; Girardi, Emanuela; Hoos, Holger; Kilbane-Dawe, Iarla; Ball, Tonio; Nowé, Ann; Sousa, Jose; Bacciu, Davide; Aldinucci, Marco; De Domenico, Manlio; Saffiotti, Alessandro; Maratea, Marco,
2021.
The CLAIRE COVID-19 initiative : approach, experiences and recommendations.
Ethics and Information Technology.
23(Suppl 1), S. S127-S133.
Verfügbar unter: https://doi.org/10.1007/s10676-020-09567-7
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Aydarkhanov, Ruslan; Ušćumlić, Marija; Chavarriaga, Ricardo; Gheorghe, Lucian; Millán, José del R,
2021.
Closed-loop EEG study on visual recognition during driving.
Journal of Neural Engineering.
18(2), S. 026010.
Verfügbar unter: https://doi.org/10.1088/1741-2552/abdfb2
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Jao, Ping-Keng; Chavarriaga, Ricardo; Dell'Agnola, Fabio; Arza, Adriana; Atienza, David; Millan, Jose del R.,
2021.
EEG correlates of difficulty levels in dynamical transitions of simulated flying and mapping tasks.
IEEE Transactions on Human-Machine Systems.
51(2), S. 99-108.
Verfügbar unter: https://doi.org/10.1109/THMS.2020.3038339
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Jao, Ping-Keng; Chavarriaga, Ricardo; Millan, Jose del R.,
2021.
EEG-based online regulation of difficulty in simulated flying.
IEEE Transactions on Affective Computing.
14(1), S. 394-405.
Verfügbar unter: https://doi.org/10.1109/TAFFC.2021.3059688
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Iwane, Fumiaki; Iturrate, Iñaki; Chavarriaga, Ricardo; Millán, José del R.,
2021.
Journal of Neural Engineering.
18(4), S. 046044.
Verfügbar unter: https://doi.org/10.1088/1741-2552/abfa70
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Chavarriaga, Ricardo; Carey, Carole; Contreras-Vidal, Jose Luis; McKinney, Zach; Bianchi, Luigi,
2021.
IEEE Open Journal of Engineering in Medicine and Biology.
2, S. 71-73.
Verfügbar unter: https://doi.org/10.1109/OJEMB.2021.3061328
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Aydarkhanov, Ruslan; Ušćumlić, Marija; Chavarriaga, Ricardo; Gheorghe, Lucian; del R Millán, José,
2020.
Spatial covariance improves BCI performance for late ERPs components with high temporal variability.
Journal of Neural Engineering.
17(3), S. 036030.
Verfügbar unter: https://doi.org/10.1088/1741-2552/ab95eb
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Orset, Bastien; Lee, Kyuhwa; Chavarriaga, Ricardo; Millan, Jose del R.,
2020.
User adaptation to closed-loop decoding of motor imagery termination.
IEEE Transactions on Biomedical Engineering.
68(1), S. 3-10.
Verfügbar unter: https://doi.org/10.1109/TBME.2020.3001981
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Jeunet, Camille; Tonin, Luca; Albert, Louis; Chavarriaga, Ricardo; Bideau, Benoît; Argelaguet, Ferran; Millán, José del R.; Lécuyer, Anatole; Kulpa, Richard,
2020.
Scientific Reports.
10(1705).
Verfügbar unter: https://doi.org/10.1038/s41598-020-58533-2
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Zhang, Xiao; Wu, Dongrui; Ding, Lieyun; Luo, Hanbin; Lin, Chin-Teng; Jung, Tzyy-Ping; Chavarriaga, Ricardo,
2020.
National Science Review.
Verfügbar unter: https://doi.org/10.1093/nsr/nwaa233
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McKinney, Zach; de Neeling, Martijn; Bianchi, Luigi; Chavarriaga, Ricardo,
2023.
.
In:
Fortino, Giancarlo; Kaber, David; Nürnberger, Andreas; Mendonça, David, Hrsg.,
Handbook of Human‐Machine Systems.
Hoboken:
Wiley.
S. 431-449.
IEEE Press Series on Human-Machine Systems.
Verfügbar unter: https://doi.org/10.1002/9781119863663.ch35
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Iturrate, Iñaki; Chavarriaga, Ricardo; Millán, José del R.,
2020.
General principles of machine learning for brain-computer interfacing
.
In:
Millan, José del R; Ramsay, Nick F., Hrsg.,
Handbook of Clinical Neurology ; 168.
Elsevier.
S. 311-328.
Verfügbar unter: https://doi.org/10.1016/B978-0-444-63934-9.00023-8
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Billeter, Yann; Denzel, Philipp; Chavarriaga, Ricardo; Forster, Oliver; Schilling, Frank-Peter; Brunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Weng, Joanna,
2024.
MLOps as enabler of trustworthy AI [Paper].
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
S. 37-40.
Verfügbar unter: https://doi.org/10.1109/SDS60720.2024.00013
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Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Schilling, Frank-Peter; Weng, Joanna; Chavarriaga, Ricardo; Amini, Amin; Repetto, Marco; Iranfar, Arman,
2024.
Towards the certification of AI-based systems [Paper].
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
S. 84-91.
Verfügbar unter: https://doi.org/10.1109/SDS60720.2024.00020
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Lone, Omar; Weiss, Manuel; Baumgartner, Daniel; Chavarriaga, Ricardo,
2024.
A Python-based open software for EEG-based brain-machine interfaces [Poster].
In:
Annual Meeting of the Swiss Society for Biomedical Engineering SSBE Abstract Book.
Annual Meeting of the Swiss Society for Biomedical Engineering SSBE, Winterthur, Switzerland, 5. September 2024.
Winterthur:
SSBE.
S. 26.
Verfügbar unter: https://doi.org/10.21256/zhaw-31394
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Weng, Joanna; Denzel, Philipp; Reif, Monika Ulrike; Schilling, Frank-Peter; Billeter, Yann; Frischknecht-Gruber, Carmen; Brunner, Stefan; Chavarriaga, Ricardo; Repetto, Marco; Iranfar, Arman,
2024.
Certification scheme for artificial intelligence based systems [Paper].
In:
34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-30549
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Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter; Rosenthal, Matthias; Stadelmann, Thilo,
2021.
In:
Proceedings of the 8th SDS.
8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.
IEEE.
S. 26-31.
Verfügbar unter: https://doi.org/10.1109/SDS51136.2021.00012
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Amirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter; Schwenker, Friedhelm; Stadelmann, Thilo,
2021.
Two to trust : AutoML for safe modelling and interpretable deep learning for robustness [Paper].
In:
Postproceedings of the 1st TAILOR Workshop on Trustworthy AI at ECAI 2020.
1st TAILOR Workshop on Trustworthy AI at ECAI 2020, Santiago de Compostela, Spain, 29-30 August 2020.
Springer.
Verfügbar unter: https://doi.org/10.21256/zhaw-22061
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Weng, Joanna; Reif, Monika; Chavarriaga, Ricardo; Schilling, Frank-Peter,
2023.
certAInty : a certification scheme for AI systems (Innosuisse project) [Poster].
In:
Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-27261
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Chavarriaga, Ricardo; Rickli, Jean-Marc; Mantellassi, Federico,
2023.
Neurotechnologies : the new frontier for international governance.
Strategic Security Analyses
; 29.
Geneva Centre for Security Policy.
ISBN 978-2-88947-315-1.
Verfügbar unter: https://doi.org/10.21256/zhaw-28985
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Orset, Bastien; Lee, Kyuhwa; Chavarriaga, Ricardo; Millán, José del. R,
2021.
Stopping vs Resting state during motor imagery paradigm.
bioRxiv.
Verfügbar unter: https://doi.org/10.1101/2021.06.15.448360
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Perdikis, Serafeim; Leeb, Robert; Chavarriaga, Ricardo; Millán, José del R.,
2020.
Context-aware learning for generative models.
IEEE Transactions on Neural Networks and Learning Systems.
Verfügbar unter: https://doi.org/10.1109/TNNLS.2020.3011671
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Chavarriaga, Ricardo,
2020.
Standards for neurotechnologies and brain-machine interfacing.
IEEE Systems, Man, and Cybernetics Magazine.
6(3), S. 50-51.
Verfügbar unter: https://doi.org/10.1109/MSMC.2020.2995438
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Denzel, Philipp; Brunner, Stefan; Luley, Paul-Philipp; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Schilling, Frank-Peter; Amini, Amin; Repetto, Marco; Iranfar, Arman; Weng, Joanna; Chavarriaga, Ricardo,
2023.
A framework for assessing and certifying explainability of health-oriented AI systems.
In:
Explainable AI in Medicine Workshop, Lugano, Switzerland, 2-3 November 2023.