Dr. Fabrice Vaussenat | Sleep Disorder | Best Scholar AwardĀ 

Dr. Fabrice Vaussenat, Ɖcole de technologie supĆ©rieure, Canada

Dr. Fabrice Vaussenat is an accomplished researcher and educator specializing in biomedical engineering, artificial intelligence, and signal processing. Based in MontrĆ©al, Canada, Dr. Vaussenat currently serves as a Chercheur Institutionnel in GĆ©nie Ɖlectrique at the Ɖcole de technologie supĆ©rieure (ETS). He earned his Diploma in Medicine and a Masterā€™s non-Thesis in Electronics, Electrotechnics, and Automation from UniversitĆ© de Montpellier II, followed by a Doctorate in Biomedical Engineering from UniversitĆ© de Technologie de CompiĆØgne. Dr. Vaussenat has been recognized for his academic and entrepreneurial achievements, notably winning the Prix du parcours le plus inspirant from COPL in 2023. His career includes significant roles such as CEO and Director of Research at Inomedis and Devinnova, where he led the development of innovative medical devices. His research focuses on physiological modeling, artificial organs, and the application of machine learning to biomedical signals. Dr. Vaussenat has also supervised several Masterā€™s and Doctorate students, contributing to advancements in EEG, ECG signal acquisition, and deep learning for health monitoring. His work has been widely published, showcasing his contributions to both academia and industry.

Professional Profile:

ORCID

 

Summary of Suitability for Best Scholar Award

Dr. Fabrice Vaussenat is a highly qualified candidate for the Research for Best Scholar Award based on his extensive academic and professional background, as well as his significant contributions to the field of biomedical engineering and related disciplines.

Degrees:

  • šŸŽ“ Diploma in Medicine: UniversitĆ© de Montpellier II (Languedoc)
  • šŸŽ“ Master’s non-Thesis in Electronics, Electrotechnics, Automation: UniversitĆ© de Montpellier II (Languedoc)
  • šŸŽ“ Doctorate in Biomedical: UniversitĆ© de Technologie de CompiĆØgne

Recognitions:

  • šŸ† 2023/6 Prix du parcours le plus inspirant: COPL
  • šŸ“œ 2021/4 Lettre de recommandation: Pr. Thibaut Desmettre, PĆ“le Urgences – SAMU – RĆ©animation MĆ©dicale
  • šŸ… 2020/9 Produit ou service de l’annĆ©e: Les Inn’Ovations
  • ā¤ļø 2019/9 Prix coup de cœur du challenge en cardiologie: e-HealthWorld Monaco
  • šŸ§’ 2018/9 Prix de la Fondation Saint-Pierre: Fondation Saint Pierre

Research Specialization Keywords:

  • Biomedical
  • Artificial Organs
  • Physiological Modeling
  • Artificial Intelligence
  • Machine Learning
  • Signal Processing

Employment:

  • šŸ“… 2022/7 – Present: Chercheur Institutionnel GĆ©nie Ɖlectrique, Ɖcole de technologie supĆ©rieure
  • šŸ„ 2020/2 – 2023/8: Chercheur AssociĆ©, Cardiologie, Centre hospitalier de l’UniversitĆ© de MontrĆ©al
  • šŸ’¼ 2017/8 – 2021/10: CEO – Directeur de Recherche – Fondateur, Inomedis
  • šŸ“ˆ 2014/2 – 2021/10: CEO – Directeur de Recherche – Fondateur, Devinnova
  • šŸ’» 2006/2 – 2014/2: CEO – Directeur de Recherche – Fondateur, SyComCare
  • šŸŒ 1996/9 – 2006/2: Responsable Europe des sciences de la donnĆ©e mĆ©dicale, Fresenius Medical Care

Student/Postdoctoral Supervision:

  • šŸŽ“ Masterā€™s Thesis (n=3)
    • 2022/9 – 2025/9: Alexandre Perroton (In Progress), ETS
    • 2022/9 – 2025/9: Emile Normand (In Progress), ETS
    • 2022/9 – 2023/6: Julie Payette (Completed), ETS
  • šŸŽ“ Doctorate (n=4)
    • 2023/9 – 2027/9: Fatemeh Javadi (In Progress), ETS
    • 2023/6 – 2026/9: Julie Payette (In Progress), ETS
    • 2022/9 – 2025/9: Manisha Mahagammulle (In Progress), ETS
    • 2022/9 – 2026/9: Abhiroop Bhattacharya (In Progress), ETS

 

Publication top Notes:

Derivative Method to Detect Sleep and Awake States through Heart Rate Variability Analysis Using Machine Learning Algorithms

Heart Rate Measurement Using the Built-In Triaxial Accelerometer from a Commercial Digital Writing Device

Continuous Critical Respiratory Parameter Measurements Using a Single Low-Cost Relative Humidity Sensor: Evaluation Study

Continuous Critical Respiratory Parameter Measurements Using a Single Low-Cost Relative Humidity Sensor: Evaluation Study (Preprint)

Dr. Fabrice Vaussenat | Sleep Disorder | Best Scholar Award

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