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:

Postdoctoral researchers:

  • Dorota Glowacka
  • Petri Kontkanen
  • Sotiris Tasoulis

Doctoral students:

  • Jeremias Berg
  • Samuli Hemminki
  • Aditya Jitta
  • Jussi Määttä
  • Jukka Perkiö
  • Teemu Pulkkinen
  • Taneli Vähäkangas
  • Yuan Zou

Research Assistants:

  • Haipeng Guo
  • Sayantan Hore
  • Janne Leppä-aho
  • Arttu Modig
  • Quan Ngyen
  • Joel Pyykkö
  • Santeri Räisänen
  • Paul Saikko
  • Joseph Sakaya
  • Johannes Sirola
  • Lasse Tyrväinen
  • Lauri Väre
  • Yina Ye
  • Yang Zhao
University of Helsinki|Department of Computer Science|Helsinki Institute for Information Technology
cosco(a)hiit.fi

 

  • Last updated: 10 Dec 2014 by Matti Järvisalo
  • Page created: 13 Jan 2007 by Webmaster