Complex Systems Computation Group (CoSCo)

The Complex Systems Computation Research Group investigates computational modeling issues in complex systems, and the related implementation aspects, focusing on prediction and model selection tasks. The work has both a strong basic research component, being at the intersection of computer science, information theory and mathematical statistics, and an applied component where the results are used for solving problems in various disciplines from social sciences, criminology, ecology and medicine to industrial engineering.

The research areas addressed include probabilistic modeling and data analysis, information theoretical approaches to inference, constraint reasoning and ubiquitous computing. Central themes in the applied research include information retrieval, context-awareness for ubiquitous computing, modeling for location-aware services and sensor networks. The group is a member of the Finnish Center of Excellence in Computational Inference Research (COIN).

Group leader: Petri Myllymäki

Principal Investigators and their focus areas:

• Patrik Floréen
  • Intelligent Interactive Information Access (from 2015)
  • Formerly (until 2015): Adaptive Computing
• Matti Järvisalo
  • Constraint Reasoning and Optimization
• Arto Klami
  • Multi-Source Probabilistic Inference
• Jorma Rissanen
  • Minimum Description Length (MDL)
• Teemu Roos
  • Information, Complexity and Learning

Postdoctoral researchers:

• Dorota Glowacka
• Antti Hyttinen
• Jukka Kohonen
• Markus Koskela
• Mats Sjöberg
• Johannes Wallner

Doctoral students:

• Jeremias Berg
• Ville Hyvönen
• Aditya Jitta
• Janne Leppä-aho
• Joonas Miettinen
• Jukka Perkiö
• Joel Pyykkö
• Teemu Pulkkinen
• Paul Saikko
• Joseph Sakaya

Research Assistants:

• Haibo Jin
• Johannes Sirola
• Amin Sorkhei
• Ping Wang