Research of Mathematics, Applied Mathematics and Statistics
The main research areas of the Department of Mathematics and Statistics include discrete mathematics, theoretical computer science, number theory, analysis, optimization, mathematical modelling, insurance mathematics and in statistics latent variable models, methods for cohort and efficacy studies, and themes concerning macro and financial econometrics.
Main research areas of the Department of Mathematics and Statistics
The group studies combinatorial and algebraic coding theory as well as graph theory. In particular, the main topics include identifying codes, information retrieval and space-time codes.
Group leader: Tero Laihonen (professor)
Group members: Anni Hakanen (postdoctoral reseacher), Iiro Honkala (professor), Ville Junnila (university lecturer), Jyrki Lahtonen (university lecturer), Tuomo Lehtilä (postdoctoral researcher) and doctoral researcher Havu Miikonen
The group studies theoretical aspects of computing and discrete dynamical systems. Focus areas are combinatorics on words, automata theory and symbolic dynamics. The research involves combinatorial and algebraic topics in these areas as well as decidability problems and other algorithmic questions.
Group leader: Jarkko Kari
Group members: Vesa Halava (professor), Tero Harju (professor emeritus), Mika Hirvensalo (university lecturer), Juha Honkala (university researcher emeritus), Juhani Karhumäki (professor emeritus), Aleksi Saarela (university researcher), Ville Salo (associate professor), Ilkka Törmä (university lecturer) and doctoral researchers Risto Huovinen, Lumi Miinalainen, Katariina Paturi and Aleksi Vanhatalo
Salomaa Prize
The Developments in Language Theory (DLT) Symposium has decided to create a prize to be awarded during the DLT conference. The SALOMAA PRIZE is named to honour the scientific achievements and influence of Academician Arto Salomaa, a founder of the DLT symposium. The prize consists of a diploma and 2.000 euros, funded by the University of Turku, Finland, the home university of Arto Salomaa.
The award is given to a distinguished researcher on his/her fundamental achievements on automata theory and related topics. The achievement might be a single article, a series of articles, or a broader impact on the theory. The criteria is the scientific excellence. Any researcher on automata theory is eligible to the prize.
The first prize was awarded during DLT 2018 in Tokyo, Japan.
Please find more information about the Salomaa Prize from this page: Salomaa Prize.
The number theoretic research at the University of Turku was initiated by late professor Kustaa Inkeri (1908-1997). Nowadays the research concentrates mostly on analytic number theory, and topics studied by the research group include prime numbers, multiplicative functions and connections to additive combinatorics.
Group leader: Kaisa Matomäki (professor)
Group members: Matteo Bordignon (postdoctoral researcher), Tony Haddad (postdoctoral researcher), Mikko Jaskari (university teacher), Kunjakanan Nath (postdoctoral researcher), Timo Toivari (university teacher) and doctoral students Sarvagya Jain, Lotta Makkonen, Hongliang Wang
Turku Optimization Group is developing theory, methods and practical applications on the following areas of optimization:
- nonsmooth optimization
- multiobjective optimization
- mixed-integer nonlinear programming (MINLP)
- combinatorial optimization
- global optimization
- robust optimization and sensitivity analysis
- parameterization and regularization techniques
- scheduling, time-tabling, resource allocation, assignment
Group leader: Marko Mäkelä (professor)
Group members: Stefan Emet (university lecturer), Kaisa Joki (university lecturer), Yury Nikulin (university lecturer) and doctoral researcher Jenni Lampainen
Due to its multidisciplinary nature between statistics and economics, research on time series analysis and econometrics in the University of Turku is carried out jointly at the Department of Mathematics and Statistics (The Center of Statistics) and Turku School of Economics (especially Department of Economics, and Department of Accounting and Finance).
The research topics contain new nonlinear econometric methods applied mainly in the analysis of financial and macroeconomic time series. Equally important to the development of new econometric techniques are the empirical applications to macroeconomics and finance, shedding light on the behavior of macroeconomy and financial markets. More specifically, the ongoing research include new estimation and forecasting methods for limited dependent time series, such as binary and non-negative variables, and multivariate methods needed, for example, in structural economic policy analysis and forecasting business cycle fluctuations and financial crises.
Group leader: Henri Nyberg (University lecturer, Statistics, and Adjunct Professor, Econometrics)
Link to the research group's home page: https://sites.google.com/site/nyberghenri/