Centres of Excellence

The department of Computer Science hosts three national Centres of Excellence:

1.    The Centre of Excellence in Computational Inference Research (COIN); coordinated from CS

2.    Molecular Systems Immunology and Physiology Research (SyMMyS); partner
3.    Research on Solar Long-Term Variability and Effects (ReSoLVE); partner
 

The Finnish Centre of Excellence in Computational Inference Research

The Finnish Centre of Excellence in Computational Inference Research (COIN) develops methods for transforming the data produced by the current data revolution into useful information. The key methodology for achieving this goal is statistical and computational inference based on the data.

The emphasis is on large data collections and computationally demanding modelling and inference algorithms. The mission is to push the boundary towards both more complex problems, requiring more sructured data models, and towards extremely rapid inference. COIN brings in expertise on several different approaches to inference, with a unique opportunity to address the core computational challenges with combinations of machine learning, computational statistics, statistical physics, and constraint-based search and optimization.

COIN works on two flagship applications. In the Intelligent Information Access flagship, the challenge is to make use of massive interrelated information sources, whether in everyday life or in science, and select what information to present to the user. The inference needs to be done on-line, learning relevance from the user's responses.

In the Computational Biology and Medicine flagship, COIN develops methods for maximally utilizing the novel measurement databases and structured stochastic models in making data-driven biology cumulative. In addition to these two flagship applications, COIN works on a few additional test-bench applications in collaboration with selected top-level application partners, from science and industry.

Professor Samuel Kaski is the director of COIN. His predecessors are Aalto Distuingished Professor Erkki Oja and Academician Teuvo Kohonen.

 

Read more http://research.ics.aalto.fi/coin/

 

Parts of the Centres of Excellence in Molecular Systems Immunology and Physiology Research (SyMMyS)

The immune system responds to genetic and biochemical variations in an adaptive manner that may, however, contribute to autoimmune disease. The immune system plays an important role in many other diseases, but the interplay of the immune system and other physiological systems is poorly understood.

The overall objective of this Academy of Finland Centre of Excellence (2012-2017) is to understand the molecular mechanisms that control the immune system as well as the interactions between the immune system and other physiological systems in health and disease, and to translate this knowledge into novel treatment and prevention strategies of inflammatory/immune-mediated disorders, with specific focus on type 1 diabetes.

The studies will help establish if and to what extent the metabolic (dys)regulation regulates or is regulated by the immune system. Along the way, we will learn about the role of metabolism in early stages of autoimmune diseases as well as reveal novel molecular mechanisms controlling T-cell differentiation.

Harri Lähdesmäki is the Aalto team leader of SyMMyS.

Read more http://www.symmys.fi/

 

Research on Solar Long-Term Variability and Effects

ReSoLVE is a group of 5 research teams from University of Oulu, FMI and Aalto University focused on studying the long-term solar variability and its effects in near-Earth space, atmosphere and climate.

The Aalto DYNAMO team conducts research in the domain of computational astrophysics, developing and performing direct numerical simulations of the magnetohydrodynamic processes in astrophysical plasmas, the main area of application being the turbulent solar convection zone. The main quest during the Centre of Excellence period 2014-2019 is to resolve the detailed physical mechanisms of the solar dynamo and its long-term variations. Such an effort combines high-performance computing at peta- and exascale utilizing architectures from massively parallel CPU-based systems to accelerator platforms with extremely demanding data analysis tasks. The DYNAMO team also participates in the data analysis of the observational data of the Centre, developing and utilizing time series analysis methods especially for irregularly sampled data sets typical in astronomical settings.

A video shows the first solar-like dynamo solution obtained from global DNS simulations.


Read more http://www.spaceclimate.fi/resolve/.

Page content by: communications-cs [at] aalto [dot] fi (Department of Computer Science) | Last updated: 15.02.2016.