Florenc
Demrozi
Ph.D. in Computer Science · Professor in Biomedical/Medical Engineering/Technology
Professor in Biomedical/Medical Engineering/Technology
Dept. Electrical Engineering and Computer Science
University of Stavanger, Stavanger, Norway
"Run towards the future without forgetting the past"
University of Stavanger
I am currently a Full Professor in Biomedical/Medical Engineering/Technology at the Department of Electrical Engineering and Computer Science, University of Stavanger, Norway, working on Machine Learning, Human Activity Recognition (HAR), Active and Assisted Living (AAL), Internet of Medical Things (IoMT), and AI-driven sensor systems for proactive healthcare. I obtained my Ph.D. in Computer Science in May 2020 under the supervision of Prof. Graziano Pravadelli, with a thesis on "An IoT-based Virtual Coaching System for Assisting Activities of Daily Life".
I am a co-founder of the IoT for Care (IoT4Care) research group at the University of Verona, and a member of the Biomedical Data Analysis Lab (BMDLab) and the Stavanger AI Lab (SAIL) at UiS. I also serve as Associate Editor of the IEEE Sensors Journal.
I currently serve as Program Chair of IEEE COINS 2026 — the IEEE International Conference on Omni-Layer Intelligent Systems, University of Bologna, September 7–9, 2026.
- Human Activity Recognition (HAR)
- Internet of Medical Things (IoMT)
- Active and Assisted Living (AAL)
- Artificial Intelligence of Things (AIoT)
- Wearable Sensing & Body Area Networks
- Machine Learning for Healthcare
- WiFi Sensing & Indoor Localization
- Parkinson's Disease Monitoring
News & Updates
General Chair — ECMS 2026
Serving as General Chair for ECMS 2026, University of Agder, Grimstad, Norway, June 23–26.
Program Chair — IEEE COINS 2026
Serving as Program Chair for IEEE COINS 2026, University of Bologna, Italy, September 7–9.
Program Chair — IEEE/IFIP VLSI-SoC 2026
Serving as Program Chair for IEEE/IFIP VLSI-SoC 2026, Limassol, Cyprus, October 11–14.
IMU-based pre-impact, impact, and post-impact fall detection dataset
Technological Advances for Gait and Balance Assessment
Distributed and Adaptive Machine Learning for Wearable Sensor Time-Series Data in Healthcare Monitoring and Human Activity Recognition: A Review
Promoted to Full Professor in Biomedical/Medical Engineering/Technology
Department of Electrical Engineering and Computer Science, University of Stavanger, Norway. June 2025.
SpareBank 1 Sør-Norge Innovation Award
Recipient of the 2025 Innovation Award, Stavanger, Norway.