Dr. Ricardo Chavarriaga

Work at ZHAW

Position

• Group Leader, Responsible AI Innovation
• Head, CLAIRE Office Zürich
• Keynote Speaker
• Consultant, mentor, networker

Teaching

• BSc module Reinforcement Learning
• MSc EVA Module Artificial Intelligence Seminar
• MSc EVA Module Machine Intelligence Lab
• Guest lecturer at several universities nationally and internationally

Experience

• Co-leader, Focus Topic: Responsible AI
  Innosuisse - Innovation Booster Databooster
  01 / 2023 - today
• Polymath Fellow
  Polymath Fellow
  04 / 2019 - today
• Chair, Industry Connections Group Neurotechnologies for Brain Machine Interface
  IEEE Standards Association
  04 / 2017 - today
• Research Scientist, Lecturer
  EPFL
  01 / 2009 - 08 / 2019
• Research Scientist
  Idiap research Institute, Switzerland
  01 / 2006 - 12 / 2008

Education and Continuing education

Education

• 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

Continuing Education

• 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

Network

Membership of networks

• 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

Awards

DIZH Fellowship 2021
ZHAW Digital
12 / 2020

Social media

• LinkedIn
• X/Twitter

Projects

• Certification program for assessing ethics of Autonomous Intelligent Systems (IEEE CertifAIEd Assessor Training) / Deputy project leader / laufend
• Brain Research International Data Governance & Exchange - Phase II / Co-project leader / laufend
• Apéro Digital: Event Series / Co-project leader / laufend
• AI for REAL-world NETwork operation / Team member / laufend
• Stability of self-organizing net fragments as inductive bias for next-generation deep learning / Team member / laufend
• Consulting Service for the preparation of the GESDA Anticipation Observatory / Project leader / laufend
• Brain Research International Data Governance & Exchange / Co-project leader / abgeschlossen
• certAInty – A Certification Scheme for AI systems / Project leader / abgeschlossen
• Mobile Inclusion Lab / Co-project leader / abgeschlossen
• Good practices for responsible development of AI-based applications in healthcare / Project leader / abgeschlossen
• Visual Food Waste Analysis for Sustainable Kitchens / Team member / abgeschlossen

Publications

• Carlson, David Edwin; Chavarriaga, Ricardo; Liu, Yiling; Lotte, Fabien; Lu, Bao-Liang,

  2025.

  The NERVE-ML (Neural Engineering Reproducibility and Validity Essentials for Machine Learning) checklist : ensuring machine learning advances neural engineering.

  Journal of Neural Engineering.

  Available from: https://doi.org/10.1088/1741-2552/adbfbd

• Starke, Georg; Gille, Felix; Termine, Alberto; Aquino, Yves Saint James; Chavarriaga, Ricardo; Ferrario, Andrea; Hastings, Janna; Jongsma, Karin; Kellmeyer, Philipp; Kulynych, Bogdan; Postan, Emily; Racine, Elise; Sahin, Derya; Tomaszewska, Paulina; Vold, Karina; Webb, Jamie; Facchini, Alessandro; Ienca, Marcello,

  2025.

  Finding consensus on trust in AI in health care : recommendations from a panel of international experts.

  Journal of Medical Internet Research.

  27, pp. e56306.

  Available from: https://doi.org/10.2196/56306

• 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), pp. 026016.

  Available from: 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), pp. 107524.

  Available from: 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), pp. e0282967.

  Available from: 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, pp. 2224-2234.

  Available from: 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), pp. 20.

  Available from: 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), pp. 69-101.

  Available from: 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), pp. 4751-4762.

  Available from: 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).

  Available from: 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), pp. 600-612.

  Available from: 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), pp. 8256-8282.

  Available from: 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), pp. S127-S133.

  Available from: 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), pp. 026010.

  Available from: 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), pp. 99-108.

  Available from: 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), pp. 394-405.

  Available from: 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), pp. 046044.

  Available from: 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, pp. 71-73.

  Available from: 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), pp. 036030.

  Available from: 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), pp. 3-10.

  Available from: 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).

  Available from: 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.

  Available from: 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, eds.,

  Handbook of Human‐Machine Systems.

  Hoboken:

  Wiley.

  pp. 431-449.

  IEEE Press Series on Human-Machine Systems.

  Available from: 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., eds.,

  Handbook of Clinical Neurology ; 168.

  Elsevier.

  pp. 311-328.

  Available from: https://doi.org/10.1016/B978-0-444-63934-9.00023-8

• Frischknecht-Gruber, Carmen; Denzel, Philipp; Reif, Monika; Billeter, Yann; Brunner, Stefan; Forster, Oliver; Schilling, Frank-Peter; Weng, Joanna; Chavarriaga, Ricardo; et al.,

  2025.

  AI assessment in practice : implementing a certification scheme for AI trustworthiness [paper].

  In:

  Görge, Rebekka; Haedecke, Elena; Poretschkin, Maximilian; Schmitz, Anna, eds.,

  Symposium on Scaling AI Assessments (SAIA 2024).

  Symposium on Scaling AI Assessments (SAIA 2024), Cologne, Germany, 30 September - 1 October 2024.

  Schloss Dagstuhl – Leibniz-Zentrum für Informatik.

  pp. 15:1-15:18.

  Open Access Series in Informatics (OASIcs) ; 126.

  Available from: https://doi.org/10.4230/OASIcs.SAIA.2024.15

• Sultana, Mushfika; Jain, Osheen; Halder, Sebastian; Matran-Fernandez, Ana; Nawaz, Rab; Scherer, Reinhold; Chavarriaga, Ricardo; del R. Millán, José; Perdikis, Serafeim,

  2024.

  Evaluating dry EEG technology out of the lab [paper].

  In:

  2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

  IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), St. Albans, United Kingdom, 21-23 October 2024.

  IEEE.

  pp. 752-757.

  Available from: https://doi.org/10.1109/metroxraine62247.2024.10797021

• 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.

  pp. 37-40.

  Available from: 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.

  pp. 84-91.

  Available from: 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.

  pp. 26.

  Available from: 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.

  Available from: 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.

  pp. 26-31.

  Available from: 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.

  Available from: https://doi.org/10.21256/zhaw-22061

• Frischknecht-Gruber, Carmen; Denzel, Philipp; Forster, Oliver; Billeter, Yann; Iranfar, Arman; Repetto, Marco; Reif, Monika Ulrike; Schilling, Frank-Peter; Weng, Joanna; Chavarriaga, Ricardo,

  2025.

  Assessment tool for trustworthy AI systems : operational workflows for compliance assessment with regulatory requirements [poster].

  In:

  AI Days @ HES-SO, Geneva and Lausanne, Switzerland, 27–29 January 2025.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-32422

• 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.

  Available from: 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.

  Available from: 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.

  Available from: 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.

  Available from: 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), pp. 50-51.

  Available from: 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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