Mika Murtojärvi
University teacher, PhD
mianmu@utu.fi : 450H |
Algorithms; programming; machine learning; software engineering; databases
Mika Murtojärvi is a university teacher. He received his PhD degree in computer science in 2016. Previously he has also worked as an assistant at a university and as a software developer in a private company. He has over 10 years of teaching experience and has also studied basics of university pedagogy.
My research has mainly consisted of algorithm development for various applications. The research projects have been related to several fields including computational geometry, machine learning and parallel programming.
Currently among the most important teaching activities are the supervision BSc theses and arranging a seminar course for students starting their BSc thesis. Additionally, I have recently been involved with the following courses:
- Data structures and algorithms (lecturer in 2020)
- Basic methods of Artificial Intelligence (lecturer in 2021)
- Databases
- Several courses related to digitalization, acquisition of information systems and machine learning
Less recently, I have also arranged a seminar course in algorithmics and machine learning and taken part in the teaching of the basics of programming.
- Budget-based classification of Parkinson's disease from resting state EEG (2023)
- IEEE Journal of Biomedical and Health Informatics
- Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system (2022)
- IEEE International Conference on Advanced Learning Technologies
- Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets (2020)
- International Journal of Medical Informatics
- ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to real-world patient cohorts (2018)
- Bioinformatics
- Efficient Algorithms for Coastal Geographic Problems (2016) Murtojärvi Mika
- Performance tuning and sparse traversal technique for a cell-based fetch length algorithm on a GPU (2015)
- Concurrency and Computation: Practice and Experience
- A Parallel GPU Implementation of an Algorithm for Determining Directional Distances (2011) Murtojärvi Mika, Leppänen Ville, Nevalainen Olli
- Optimising an observational water monitoring network for archipelago sea (2011)
- Computers and Geosciences
- Suunnattujen etäisyyksien määrittäminen pyyhkäisyviivatekniikalla (2010) Publications of the University of Eastern Finland. Reports and Studies in Forestry and Natural Sciences (Tietojenkäsittelytieteen päivät 2010) Murtojärvi M, Leppänen V, Nevalainen O