Parisa Movahedi
Doctoral Student, Department of Computing.
parmov@utu.fi Office: 452B ORCID identifier: https://orcid.org/0000-0002-2571-9279 |
Machine learning, Data analysis, Artificial intelligence, Medical image processing
Parisa movahedi is a Ph.D. candidate and a project researcher at the University of Turku, Finland. She received here M.Sc. (Tech) degree in information and communications technology at the university of Turku, Finland. Her main research interest include machine learning model development and evaluation of Non-i.i.d data and privacy preserving AI for health data.
For the last 8 years, Parisa has been working in several projects and collaborated with different institutes (Helsinki university, medical imaging center for southwest Finland, Turku university hospital (TYKS)) specializing in machine learning applicability and performance evaluation. Currently she is a part of the PRIVASA group, researching different areas of privacy preserving AI for health data.
- Discriminating Chemoresistant and Chemosensitive Tubo‐Ovarian High‐Grade Serous Carcinoma Cells With Raman Microscopy (2026)
- Journal of Raman Spectroscopy
(A1 Refereed original research article in a scientific journal) - Evaluation of temporal preservation in synthetic longitudinal patient data (2026)
- Journal of Biomedical Informatics
(A1 Refereed original research article in a scientific journal) - Adoption of the OMOP CDM for Cancer Research: A prostate cancer use-case (2025) OHDSI Europe Symposium 2025 Hatzakis, Manos; Vidakis, Thanos; Montoya Perez, Ileana; Clinckaerts, Andries; Ettala, Otto; Högerman, Mikael; Movahedi, Parisa; Pahikkala, Tapio; Airola, Antti; Everaerts, Wouter; De Vos, Maarten; Chatzichristos, Christos
(Abstract) - Response to Letter by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)
- Methods of Information in Medicine
(B1 Non-refereed article in a scientific journal) - Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data (2024)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? (2024)
- Methods of Information in Medicine
(A1 Refereed original research article in a scientific journal) - Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project (2024)
- Applied Computing and Intelligence
(A1 Refereed original research article in a scientific journal) - Targeted and Untargeted Amine Metabolite Quantitation in Single Cells with Isobaric Multiplexing (2024)
- Chemistry - A European Journal
(A1 Refereed original research article in a scientific journal) - Evaluating Classifiers Trained on Differentially Private Synthetic Health Data (2023)
- Proceedings (IEEE International Symposium on Computer-Based Medical Systems)
(A4 Refereed article in a conference publication ) - Long-Term Autonomy in Forest Environment Using Self-Corrective SLAM (2022) New Developments and Environmental Applications of Drones: Proceedings of FinDrones 2020 Nevalainen Paavo, Movahedi Parisa, Peña Queralta Jorge, Westerlund Tomi, Heikkonen Jukka
(A4 Refereed article in a conference publication )



