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
- Maniadi Evangelia, M.Sc.
- Tsichlaki Stella, M.Sc.
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“