Antti Airola
D.Sc. (Tech.)
ajairo@utu.fi +358 29 450 4193 +358 50 517 8711 Vesilinnantie 5 Turku Office: 456H ORCID identifier: https://orcid.org/0000-0002-1010-4386 |
artificial intelligence; data analytics; machine learning; health technology
Antti Airola, is an Associate Professor (tenure track) of data science in the area of Health Technology at the University of Turku. He has co-authored over 100 peer-reviewed articles, won multiple international data science competitions, and received several research excellence awards such as the the HATUTUS award for the best PhD thesis in the area of pattern recognition in Finland (2010 - 2011) and IEEE Computational Intelligence Society Outstanding Transactions on Fuzzy Systems Paper award (2015). He is currently working as responsible leader in several EU and Research Council of Finland funded research projects.
As of 2025, he is acting as a deputy head of the department of computing.
Airola's main research areas are in the area of machine learning and data science, especially their applications in the health domain.
Airola is currently responsible for teaching the course Data Analysis and Knowledge Discovery, as well as thesis supervision work (BSc, MSc, PhD). He has developed materials for and taught in many courses in the area of data and computer science, is responsible for developing the curriculum for both national BSc and MSc Medical and health technology programmes, as well as the international MSc programme in Health technology, and directs the AI Academy that coordinates AI related teaching between the faculties.
- Empirical investigation of multi-source cross-validation in clinical ECG classification (2024)
- Computers in Biology and Medicine
(A1 Refereed original research article in a scientific journal) - Evaluating Piezoelectric Ballistocardiography for Post-Surgical Heart Rate Monitoring (2024)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - 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) - Predicting pairwise interaction affinities with ℓ0-penalized least squares-a nonsmooth bi-objective optimization based approach∗ (2024)
- Optimization Methods and Software
(A1 Refereed original research article in a scientific journal) - Accelerating Image Processing Using Reduced Precision Calculation Convolution Engines (2023)
- Journal of Signal Processing Systems
(A1 Refereed original research article in a scientific journal) - Budget-based classification of Parkinson's disease from resting state EEG (2023)
- IEEE Journal of Biomedical and Health Informatics
(A1 Refereed original research article in a scientific journal) - Domain randomization using synthetic electrocardiograms for training neural networks (2023)
- Artificial Intelligence in Medicine
(A1 Refereed original research article in a scientific journal) - Empirical evaluation of amplifying privacy by subsampling for GANs to create differentially private synthetic tabular data (2023)
- CEUR Workshop Proceedings
(A4 Refereed article in a conference publication ) - Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data (2023)
- Body Sensor Networks Conference
(A4 Refereed article in a conference publication ) - 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 )
