Timo Knuutila
Professor
knuutila@utu.fi +358 40 019 3092 Joukahaisenkatu 1 Turku Office: 456 I ORCID identifier: https://orcid.org/0000-0001-5390-3594 |
Areas of expertise
Machine learning; combinatorial optimization; formal languages and automata.
Machine learning; combinatorial optimization; formal languages and automata.
Biography
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.
Research
Teaching
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.
Publications 
1 of 2
- A divide and combine method for machine configuration and workload balancing problem in multiple product PCB assembly (2022)
- International Journal of Advanced Manufacturing Technology
(Refereed journal article or data article (A1)) - End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography (2022)
- Physiological Measurement
(Refereed journal article or data article (A1)) - Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
- IEEE Sensors Journal
(Refereed journal article or data article (A1)) - Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
- IEEE Sensors Journal
(Refereed journal article or data article (A1)) - Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection (2019)
- IEEE Access
(Refereed journal article or data article (A1)) - Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone (2018)
- IEEE Journal of Biomedical and Health Informatics
(Refereed journal article or data article (A1)) - Machine configuration and workload balancing of modular placement machines in multi-product PCB assembly (2018)
- International Journal of Computer Integrated Manufacturing
(Refereed journal article or data article (A1)) - MOBILE PHONE DETECTION OF ATRIAL FIBRILLATION: THE MODE-AF STUDY (2018)
- Journal of the American College of Cardiology
(Other (O2)) - Mobile Phone Detection of Atrial Fibrillation With Mechanocardiography The MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation) (2018)
- Circulation
(Article or data-article in scientific journal (B1)) - Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals (2017)
- Computing in Cardiology
(Refereed article in conference proceedings (A4)) - TRC-Matcher and enhanced TRC-Matcher. New Tools for Automatic XML Schema Matching (2017) Lauri Mukkala, Jukka Arvo, Teijo Lehtonen, Timo Knuutila
(Published development or research report or study (D4)) - Detecting atrial fibrillation via existing smartphones without any add-ons (2016)
- European Heart Journal Supplements
(Other (O2)) - Hidden Markov Model Inference in an Associative Memory Architecture (2016) Proceedings of the 2016 International Joint Conference on Neural Networks Jussi Poikonen, Mika Laiho, Eero Lehtonen, Timo Knuutila
(Refereed article in conference proceedings (A4)) - Mobile Application Ecosystems: An Analysis of Android Ecosystem (2016) Encyclopedia of E-Commerce Development, Implementation, and Management Sami Hyrynsalmi, Arho Suominen, Tuomas Mäkilä, Timo Knuutila
(Refereed article in compilation book (A3)) - 3D Mesh Simplification – A survey of algorithms and CAD model simplification tests (2015) Jukka Arvo, Antti Euranto, Lauri Järvenpää, Teijo Lehtonen, Timo Knuutila
(Published development or research report or study (D4)) - A New Algorithm for Segmentation of Cardiac Quiescent Phases and Cardiac Time Intervals Using Seismocardiography (2015) Mojtaba Jafari Tadi, Tero Koivisto, Mikko Pänkäälä, Timo Knuutila, Mika Teräs, Pekka Hänninen, Ari Paasio,
(Refereed article in conference proceedings (A4)) - Current State of Ontology Matching. A Survey of Ontology and Schema Matching (2015) Mukkala Lauri, Arvo Jukka, Lehtonen Teijo, Knuutila Timo
(Published development or research report or study (D4)) - Estimating the production time of a PCB assembly job without solving the optimised machine control (2015)
- International Journal of Computer Integrated Manufacturing
(Refereed journal article or data article (A1)) - Implementation of nondeterministic finite automata in an autoassociative CAM circuit (2015) Circuits and Systems (ISCAS), 2015 IEEE International Symposium on Jussi Poikonen, Eero Lehtonen, Mika Laiho, Timo Knuutila
(Refereed article in conference proceedings (A4)) - The Emerging Application Ecosystems: An Introductory Analysis of the Android Ecosystem (2014)
- International Journal of E-Business Research
(Refereed journal article or data article (A1))
UTU Research Portal