Publications

Journal papers:

  1. J Mladenovic, J Frey, S Pramij, J Mattout, F Lotte, Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI, IEEE Transactions in BioMedical Engineering, 2021, chosen as featured article in March 2022
  2. C Benaroch, K Sadatnejad, A Roc, A Appriou, T Monseigne, S Pramij, J Mladenovic, L Pillette, C Jeunet, F Lotte, Long-term BCI training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training, Front. Hum. Neurosci., 18 March 2021, https://doi.org/10.3389/fnhum.2021.635653
  3. Jelena Mladenovic (2021) Standardization of Protocol Design for User Training in EEG-based Brain-Computer Interface, 22 Feb 2021 J. Neural Eng. 18 011003
  4. A Roc, L Pillette, J Mladenovic, C Benaroch, B N’Kaoua, C Jeunet, F Lotte A review of user training methods in brain computer interfaces based on mental tasks, J. Neural Eng. 18 011002
  5. J Mladenovic et al. (2019) Active Inference as a Unifying, Generic and Adaptive Framework for P300-based BCI, Journal of Neural Engineering; DOI: https://dx.doi.org/10.1088/1741-2552/ab5d5c
  6. J-M Batail,.. J Mladenovic,.. F Vialatte (2019). EEG neurofeedback research: A fertile ground for psychiatry? L’Encephale
  7. A Mjirda, B Jarboui, J Mladenović, C Wilbaut, and S Hanafi (2016) “A General Variable Neighbourhood Search for the Multy-Product Inventory Routing Problem”, IMA Journal of Management Mathematics;

Book Chapters:

  1. J. Mladenovic, J. Mattout, and F. Lotte (2017) Brain-Computer Interfaces Handbook: Technological and Theoretical Advances, A generic framework for adaptive EEG-based BCI training and operation
  2. F. Lotte, C. Jeunet, J. Mladenovic, B. N’Kaoua, L. Pillette (2018) IET Book ‘Signal Processing and Machine Learning for Brain-Machine Interfaces’, Chapter 6: A BCI challenge for the signal processing community: considering the human in the loop”

Conference Papers:

  1. J Mladenovic, J Frey, J Mattout and F Lotte (2020) Biased feedback influences learning of Motor Imagery BCI, at International BCI Meeting 2020
  2. Jelena Mladenovic (2018), Considering Gut Biofeedback for Emotion Regulation, UERMMI – UbiComp/ISWC’18 Adjunct, Oct 2018, Singapore. See presentation SLIDES
  3. Jelena Mladenovic, Jérémy Frey, Jessica Cauchard (2018), Dishimo: Anchoring Our Breath , CHI ’18 Interactivity – SIGCHI Conference on Human Factors in Computing System, Apr 2018, Montreal, Canada
  4. J. Mladenovic, J. Frey, M. Bonet-Save, J. Mattout and F. Lotte (2017) The Impact of Flow in an EEG-based Brain Computer Interface, Graz BCI Conference, Austria
  5. J. Frey, C. Jeunet, J. Mladenovic, L. Pillette, F. Lotte (2017) “When HCI Meets Neurotechnologies: What You Should Know about Brain-Computer Interfaces“, Course at ACM CHI Denver, USA
  6. J. Mladenovic, M. Joffily, J. Frey, F. Lotte, J. Mattout (2017) Endowing The Machine With Active Inference: A generic Framework to Implement Adaptive BCI, Oral Presentation, NaT Conference, Berlin , slides

Posters, Workshops and Invited Talks:

  1. F Lotte, M Clerc, …, J Mladenović, …, Federica Turi Inria research & development for the Cybathlon BCI series 8th Graz Brain-Computer Interface Conference 2019
  2. Organizing conference workshops and finding sponsors for Cortico / JJ-ICON, March Lille, 2019
  3. Invited Lecture on Active Inference, Seminar for Computational Neuroscience Endowing the Machine with Active Inference in a P300 BCI , at Inria Bordeaux, november 2018
  4. Workshop co-organizer: VR/AR in BCI, with F. Putze, T. Mullen, H. Mohammed, D. Krusienski, J. Faller, A. Vourvopoulos, oral presentation: Flow as Optimal User State for Immersion and BCI Performance, at BCI Meeting Asilomar, USA, May 2018
  5. J.Mladenovic (2018) Invited Talk Combining physiological sensing and User modeling for intuitive HCI at Intelligent User Interfaces: Eye Tracking and Beyond, Workshop in Haifa University, Israel
  6. J.Mladenovic (2018) Invited Talk Taxonomy for Adaptive BCI: User and Task Modeling at Brain-computer communication: Towards real world applications, BCI Conference in IDC Herzlyia, Israel
  7. J. Mladenovic, J. Frey, E. Cristophe, J Micoulaud, R.Kronland, M. Aramaki (2018) Towards Congruent BCI Feedback, Poster at JJC-ICON 2018
  8. J. Mladenovic , J. Frey , E. Maby , M. Joffily , F. Lotte , Dr. J. Mattout (2018) Active Inference for Adaptive BCI : An application to the P300 Speller Poster at BCI Meeting, Asilomar, USA
  9. E. Christophe, J. Frey, R. Kronland, J. Micoulaud, J. Mladenovic, G. Mougin, J. Vion, S. Ystad, M. Aramaki (2018) Evaluation of a Congruent Auditory Feedback for Motor Imagery BCI, Poster at BCI Meeting, Asilomar, USA
  10. J. Mladenovic (2017) Invited talk at the Second NeuroFeedback Day in Paris — NExT Neurofeedback and Flow in BCI training
  11. J. Mladenovic (2017) Poster at JJC-ICON in Bordeaux Exploring adaptive BCI methods to favour user learning and flow statehttp://www.cortico.fr/jjc-icon/ see poster Poster
  12. J. Mladenovic (2017) Invited talk “OpenVibe and openBCI” at workshop BCI Sonification, at PRISM CNRS, Marseilles, France

Scientific Outreach/ Vulgarization Scientifique:

  1. Fête de la science (2 days) Teegi démo, Paris 2016
  2. Fête de la science (2 days) Tux démo, Musée des sciences, Bordeaux 2016
  3. BCI Science Slam, Graz Conference 2017
  4. CogTalk, presentation – Flow theory for optimizing BCI, Starfish Bordeaux 2018
  5. Seminar for PhD students – Flow theory for optimizing BCI, ISPED Bordeaux 2018

Awards:

  1. Best presentation award in BCI Meeting (online, 2021)
  2. Finalist of Complex Systems Thesis Award Paris (2020)
  3. Sephora Berrebi (Laureate for women in Science, Paris) (2019)
  4. Student Award (UbiComp conference, Singapore) (2018)
  5. Student Award (Asilomar BCI Meeting, California) (2018)
  6. Student Travel Award (Graz BCI Conference, Austria) (2017)
  7. Basileus V scholarship to study in Nice (Sophia Antipolis, PolyTech) 1 full year (2014 – 2015)
  8. EuroWeb scholarship to study in Amsterdam (Vrije University) 1 academic year (2012 – 2013)

In the Pipeline:

    1. Adaptive Model using User Personality Priors for Maximizing Performance, NeuroInformatics