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. All in all, the work in CoSCo is organized under the following  thematic sub-areas:

• Adaptive Computing (leaders: Patrik Floréen and Petteri Nurmi)
• Computational Inference (leader: Petri Myllymäki)
• Constraint Reasoning and Optimization (leader: Matti Järvisalo)
• Information, Complexity and Learning (leader: Teemu Roos)

Group leader:

• Petri Myllymäki, Professor

Senior researchers:

• Patrik Floréen, Dr., Docent (Adjunct Professor)
• Matti Järvisalo, Dr., Docent (Adjunct Professor)
• Arto Klami, Dr., Academy Research Fellow
• Petteri Nurmi, Dr., Docent (Adjunct Professor)
• Jorma Rissanen, Professor Emeritus, HIIT Fellow
• Teemu Roos, Assistant Professor

Postdoctoral researchers:

• Dorota Glowacka
• Petri Kontkanen
• Brandon Malone

Doctoral students:

• Sourav Bhattacharya
• Jussi Määttä
• Jukka Perkiö
• Teemu Pulkkinen
• Taneli Vähäkangas
• Yuan Zou

Research Assistants:

• Jeremias Berg
• Andreas Forsblom
• Haipeng Guo
• Samuli Hemminki
• Ksenia Konyushkova
• Tony Kovanen
• Simo Linkola
• Arttu Modig
• Kalle Myllymaa
• Joel Pyykkö
• Antti Tuominen
• Lasse Tyrväinen
• Yina Ye