2810379750 bmi@hmu.gr

Members

Head of the BMI Lab

  • Tsiknakis Manolis, Ph.D., Visiting Research Professor, Computational BioMedicine Lab, FORTH

Collaborating Researchers

  • Koumakis Lefteris, Ph.D., Collaborating Researcher, Computational BioMedicine Lab, FORTH
  • Marias Konstantinos, Ph.D., Collaborating Researcher, Head of the Computational BioMedicine Lab, FORTH

Software Engineers

Doctoral Students

  • Chatzaki Roula, M.Sc.
    • Research topic: “A multimodal approach for the assessment of mental stress based on the analysis of physiological signals”
  • Chatzimina Maria, M.Sc.
    • Research topic: “Conversational agents as a new diagnostic tool: a proof-of-concept study in the field of palliative care
  • Gkikas Stefanos, M.Sc.
    • Research topic: “A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods”

Postgraduate students

  • Pavlidou Elsa, B. Sc.
    • Thesis: “Multimodal pain intensity assessment based on physiological biosignals
    • Description: The purpose of the thesis is to develop computational, predictive models and conduct validation experiments by using multimodal physiological biosignals such as Electrocardiogram, Electromyogram and Galvanic Skin Response.

Undergraduate students

  • Dogramatzaki Zaxarenia
    • Thesis: “Assessment of emotional state through video and biosignal analysis”
  • Garefalaki Magdalini
    • Thesis: “Pain detection through video analysis and biosignal analysis
  • Iatrakis Giorgos
    • Thesis: “A synchronous, digital recording and management platform for the clinical ethnographic narrative interview through a mobile device: Social network and body map implementation
  • Katis Apostolos
    • Thesis: “Development and evaluation of a multilingual mobile voice recognition application
  • Katsanevakis Aris
    • Thesis: “Usage of deep learning techniques for the development of predictive models for future disease risks by analyzing data from patients’ electronic health records
  • Kontogiannis Zacharias
    • Thesis: “A synchronous, digital recording and management platform for the clinical ethnographic narrative interview through a mobile device: Lifeline and Card Sorting implementation
  • Papadaki Maria
    • Thesis: “Analysis of freezing of gait (FOG) using smart wearable insoles