Timo Knuutila
Professor
knuutila@utu.fi +358 40 019 3092 Joukahaisenkatu 1 Turku Työhuone: 456 I ORCID-tunniste: https://orcid.org/0000-0001-5390-3594 |
Machine learning; combinatorial optimization; formal languages and automata.
Professor Timo Knuutila is a proficient computer scientist, software engineer and educator with over 30 years of experience. His specialities include algorithms, optimization, machine learning and theory of automata. Knuutila has published ca. 60 internationally reviewed scientific articles,
directed 9 doctoral theses and over 50 master's theses
in the areas of computer science and software engineering.
He has been the responsible leader of ca. 15 externally funded research and education projects
and a leading researcher in several other research projects.
The main areas of the courses I have lectured have been
(1) programming languages and software engineering and
(2) artificial intelligence.
The first area includes courses like Declarative programming, Logic programming, Object-oriented
programming, Software engineering for global enterprises, Production planning and optimization, and
Programming language concepts, while the second one consists of Artificial intelligence, Data
mining, Machine learning, and Deep learning. Since the middle of the 1990’s majority of my teaching
has been given in English.
- A divide and combine method for machine configuration and workload balancing problem in multiple product PCB assembly (2022)
- International Journal of Advanced Manufacturing Technology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography (2022)
- Physiological Measurement
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
- IEEE Sensors Journal
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
- IEEE Sensors Journal
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection (2019)
- IEEE Access
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone (2018)
- IEEE Journal of Biomedical and Health Informatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Machine configuration and workload balancing of modular placement machines in multi-product PCB assembly (2018)
- International Journal of Computer Integrated Manufacturing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - MOBILE PHONE DETECTION OF ATRIAL FIBRILLATION: THE MODE-AF STUDY (2018)
- Journal of the American College of Cardiology
(O2 Muu julkaisu ) - Mobile Phone Detection of Atrial Fibrillation With Mechanocardiography The MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation) (2018)
- Circulation
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä ) - Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals (2017)
- Computing in Cardiology
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
