Vahid Farrahi

Vahid Farrahi

Assistant professor, TU Dortmund University, Germany
Adjunt professor, Univeristy of Oulu, Finland

Publications

You can find the full list of my publications on my Google Scholar profile .

Selected journal articles

  1. Sameh Alireza, Rostami Mehrdad, Oussalah Mourad, Korpelainen Raija, Farrahi Vahid. Digital phenotypes and digital biomarkers for health and diseases: a systematic review of machine learning approaches utilizing passive non-invasive signals collected via wearable devices and smartphones. Artificial Intelligence Review. 2024;58(2):66. DOI
  2. Seppänen Marjo, Lankila Tiina, Niemelä Maisa, Rautio Nina, Korpisaari Maija, Timonen Markku, Korpelainen Raija, Farrahi Vahid. Compositional associations of 24-h physical activities, sedentary time and sleep with depressive symptoms in urban and rural residents: a cross-sectional study. BMC Medicine. 2025;23:219. DOI
  3. Niemelä Maisa, Maijala Annsa, Nauha Laura, Jämsä Timo, Korpelainen Raija, Farrahi Vahid. Associations of Wearable Ring Measured Sleep, Sedentary Time, and Physical Activity With Cardiometabolic Health: A Compositional Data Analysis Approach. Scandinavian Journal of Medicine & Science in Sports. 2024;34(8):e14710. DOI
  4. Farrahi Vahid, Collings Paul J, Oussalah Mourad. Deep learning of movement behavior profiles and their association with markers of cardiometabolic health. BMC Medical Informatics and Decision Making. 2024;24(1):74. DOI
  5. Farrahi Vahid, Usman Muhammad, Rostami Mehrdad, Oussalah Mourad. AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments. International Journal of Medical Informatics. 2023;172:105004. DOI
  6. Rostami Mehrdad, Oussalah Mourad, Berahmand Kamal, Farrahi Vahid. Community Detection Algorithms in Healthcare Applications: A Systematic Review. IEEE Access. 2023;11:30247–72. DOI
  7. Farrahi Vahid, Rostami Mehrdad. Machine learning in physical activity, sedentary, and sleep behavior research. Journal of Activity, Sedentary and Sleep Behaviors. 2024;3(1):5. DOI
  8. Ahmadian Sajad, Rostami Mehrdad, Farrahi Vahid, Oussalah Mourad. A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning. Neural Networks. 2024;173:106159. DOI
  9. Farrahi Vahid, Rostami Mehrdad, Dumuid Dot, Chastin Sebastien FM, Niemelä Maisa, Korpelainen Raija, Jämsä Timo, Oussalah Mourad. Joint Profiles of Sedentary Time and Physical Activity in Adults and their Associations with Cardiometabolic Health. Medicine & Science in Sports & Exercise. 2022;54(12):2118–28. DOI
  10. Nauha Laura, Farrahi Vahid, Jurvelin Heidi, Jämsä Timo, Niemelä Maisa, Ala-Mursula Leena, Kangas Maarit, Korpelainen Raija. Regularity of bedtime, wake-up time, and time in bed in mid-life: associations with cardiometabolic health markers with adjustment for physical activity and sedentary time. Journal of Activity, Sedentary and Sleep Behaviors. 2024;3(1):2. DOI