Kianoosh Kazemi
 Doctoral Researcher, Health Technology

Medisiina D

TyöhuoneHealth Technology Group


Google Scholar


Biomedical Engineering, Digital Health Technology, Machine Learning, Bio-signal Processing


In 2017, he received his Bachelor’s degree from Shiraz University in Electrical Engineering. In 2019, he obtained his Master’s degree from the Amirkabir University of Technology (Tehran Polytechnic), Iran in Electrical Engineering, Telecommunication. In March 2021 he joined the Department of Computing at Turku University as a researcher. He is currently a Ph.D. candidate at the University of Turku, working on smart health monitoring frameworks based on the Internet of Things and Machine Learning Approaches.


Highly interested in smart health monitoring frameworks based on the Internet of Things and Machine Learning. My research has been focused on developing data analysis methods for biomedical signals, e.g., photoplethysmogram (PPG) and electrocardiogram (ECG). I have been working with machine-learning-based health data analytic techniques, biosignal denoising and recunstruction, and PPG peak detection techniques, to mention a few.


Acquisition and Analysis of Biosignals

Biosignal Analytics


Last updated on 2023-12-07 at 12:13