Dr. Ricardo Chavarriaga

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

ORCID ID: 0000-0002-8879-2860

Auszeichnungen

DIZH Fellowship 2020
ZHAW Digital
12 / 2020

Social Media

• LinkedIn
• X/Twitter

Projekte

• Certification program for assessing ethics of Autonomous Intelligent Systems (IEEE CertifAIEd Assessor Training) / Stellv. Projektleiter:in / laufend
• Brain Research International Data Governance & Exchange - Phase II / Co-Projektleiter:in / laufend
• Apéro Digital: Event Series / Co-Projektleiter:in / laufend
• AI for REAL-world NETwork operation / Teammitglied / laufend
• Stability of self-organizing net fragments as inductive bias for next-generation deep learning / Teammitglied / laufend
• certAInty – A Certification Scheme for AI systems / Projektleiter:in / laufend
• Brain Research International Data Governance & Exchange / Co-Projektleiter:in / abgeschlossen
• Enabling Scientific Diplomacy: Preparation of the GESDA Neurotechnology Compass / Projektleiter:in / abgeschlossen
• Mobile Inclusion Lab / Co-Projektleiter:in / abgeschlossen
• Good practices for responsible development of AI-based applications in healthcare / Projektleiter:in / abgeschlossen
• FWA: Visual Food Waste Analysis for Sustainable Kitchens / Teammitglied / abgeschlossen

Publikationen

• Iwane, Fumiaki; Porssut, Thibault; Blanke, Olaf; Chavarriaga, Ricardo; Millan, Jose Del R.; Herbelin, Bruno; Boulic, Ronan,

  2024.

  Customizing the human-avatar mapping based on EEG error related potentials during avatar-based interaction.

  Journal of Neural Engineering.

  21(2), S. 026016.

  Verfügbar unter: https://doi.org/10.1088/1741-2552/ad2c02

• 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

• 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

• 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

• 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

• 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

• 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

• Batzianoulis, Iason; Iwane, Fumiaki; Wei, Shupeng; Correia, Carolina Gaspar Pinto Ramos; Chavarriaga, Ricardo; Millán, José del R.; Billard, Aude,

  2021.

  Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials.

  Communications Biology.

  4(1406).

  Verfügbar unter: https://doi.org/10.1038/s42003-021-02891-8

• 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

• 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

• 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

• 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

• 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

• 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

• Iwane, Fumiaki; Iturrate, Iñaki; Chavarriaga, Ricardo; Millán, José del R.,

  2021.

  Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states.

  Journal of Neural Engineering.

  18(4), S. 046044.

  Verfügbar unter: https://doi.org/10.1088/1741-2552/abfa70

• Chavarriaga, Ricardo; Carey, Carole; Contreras-Vidal, Jose Luis; McKinney, Zach; Bianchi, Luigi,

  2021.

  Standardization of neurotechnology for brain-machine interfacing : state of the art and recommendations.

  IEEE Open Journal of Engineering in Medicine and Biology.

  2, S. 71-73.

  Verfügbar unter: https://doi.org/10.1109/OJEMB.2021.3061328

• 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

• 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

• Jeunet, Camille; Tonin, Luca; Albert, Louis; Chavarriaga, Ricardo; Bideau, Benoît; Argelaguet, Ferran; Millán, José del R.; Lécuyer, Anatole; Kulpa, Richard,

  2020.

  Uncovering EEG correlates of covert attention in soccer goalkeepers : towards innovative sport training procedures.

  Scientific Reports.

  10(1705).

  Verfügbar unter: https://doi.org/10.1038/s41598-020-58533-2

• Zhang, Xiao; Wu, Dongrui; Ding, Lieyun; Luo, Hanbin; Lin, Chin-Teng; Jung, Tzyy-Ping; Chavarriaga, Ricardo,

  2020.

  Tiny noise, big mistakes : adversarial perturbations induce errors in brain-computer interface spellers.

  National Science Review.

  Verfügbar unter: https://doi.org/10.1093/nsr/nwaa233

• McKinney, Zach; de Neeling, Martijn; Bianchi, Luigi; Chavarriaga, Ricardo,

  2023.

  Integrating innovation : the role of standards in promoting responsible development of human–machine systems

  .

  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

• 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

• 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

• 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

• 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

• 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

• Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter; Rosenthal, Matthias; Stadelmann, Thilo,

  2021.

  A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications [Paper].

  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

• 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

• 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

• 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

• 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

• 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

• 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

• 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.

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