Kianoosh Kazemi
 Doctoral Researcher, Health Technology


kianoosh.k.kazemi@utu.fi



OfficeHealth Technology Group


ORCID identifierhttps://orcid.org/https://orcid.org/0000-0002-0919-8661

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

Research community or research topic
I am working at Digital Health Technology research group in Department of Computing, University of Turku.

Biography

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.



Research

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.



Teaching

Acquisition and Analysis of Biosignals

Biosignal Analytics



Publications

  •   (2025)  
    • Computers in Biology and MedicineAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
     Feli, Mohammad; Kazemi, Kianoosh; Azimi, Iman; Liljeberg, Pasi; Rahmani, Amir M.
    (
    A1 Refereed original research article in a scientific journal)


  •   (2025)  
    • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
     Kazemi, Kianoosh; Azimi, Iman; Liljeberg, Pasi; Rahmani, Amir M.
    (
    A1 Refereed original research article in a scientific journal)


  • Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach  (2024)  
    • Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Kazemi, Kianoosh; Ryhtä, Iina; Azimi, Iman; Niela-Vilén, Hannakaisa; Axelin, Anna; Rahmani, Amir M.; Liljeberg, Pasi
    (
    A4 Refereed article in a conference publication )


  •   (2024)  
    • Computers in Biology and MedicineAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
     Kazemi, Kianoosh; Abiri, Arash; Zhou, Yongxiao; Rahmani, Amir; Khayat, Rami N.; Liljeberg, Pasi; Khine, Michelle
    (
    A1 Refereed original research article in a scientific journal)


  • Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU  (2024)  ICBRA '23: Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications Kazemi Kianoosh, Azimi Iman, Liljeberg Pasi, Rahmani Amir M.
    (
    A4 Refereed article in a conference publication )


  • Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings?  (2023)  
      2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC) Kazemi Kianoosh, Azimi Iman, Liljeberg Pasi, Rahmani Amir M.
      (
      A4 Refereed article in a conference publication )


    • End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction  (2023)  
      • Proceedings (IEEE International Conference on Bioinformatics and Biomedicine)
      2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Feli Mohammad, Kazemi Kianoosh, Azimi Iman, Wang Yuning, Rahmani Amir M., Liljeberg Pasi
      (
      A4 Refereed article in a conference publication )


    • A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability  (2022)  
      • PLoS ONE
       Sarhaddi Fatemeh, Kazemi Kianoosh, Azimi Iman, Cao Rui, Niela-Vilén Hannakaisa, Axelin Anna, Liljeberg Pasi, Rahmani Amir M.
      (
      A1 Refereed original research article in a scientific journal)


    • PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network  (2022)  
        2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Wang Yuning, Azimi Iman, Kazemi Kianoosh, Rahmani Amir M., Liljeberg Pasi
        (
        A4 Refereed article in a conference publication )


      • Robust PPG Peak Detection Using Dilated Convolutional Neural Networks  (2022)  
        • Sensors
         Kazemi Kianoosh, Laitala Juho, Azimi Iman, Liljeberg Pasi, Rahmani Amir M.
        (
        A1 Refereed original research article in a scientific journal)



      Last updated on 2025-10-03 at 15:26