Research in Computer Science

In all the research areas we embrace theory and applications, enabling high impact scientific discovery as well as socially relevant applications.

Research highlights

Super Stomp. Kuva: Valo Motion.

Multiplayer bouncing exercise brings extra motivation

The game gives players an empowering experience using custom computer vision, movement exaggeration, and game design techniques.

News
Lightning strikes

Machine learning helps to predict blackouts caused by storms

A collaboration between computer scientists at Aalto University and the Finnish Meteorological Institute applies machine learning to predict how damaging a storm will be

News
Illustration of neural networks in a hospital environment

Neural network for elderly care could save millions

A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions

News
Suomessa kehitettiin tekoäly, joka ymmärtää paremmin ihmisen tavoitteita

Designing AI that understands humans’ goals better

To make a better smart assistant, we need an AI that understands its user and does not constantly need detailed instructions

News
Ana Triana Hoyos (vasemmalla) ja Talayeh Aledavood tekivät tutkimuskatsauksen mielenterveyspotilaiden unta seuraavista sovelluksista ja laitteista. Kuva Matti Ahlgren / Aalto-yliopisto

Apps and wearable technology help to track sleep of people with mental health disorders

According to the findings of a recent review article, this type of technology could even help to recognize factors that correlate with mental health disorders

News

Research areas

Research in Department of Computer Science is divided into seven research areas.

Distributed Algorithms Research group

Algorithms

The algorithms research area studies the paradigms and principles of computation.

Department of Computer Science
Aalto University/Aki-Pekka Sinikoski

Data science

The data science research area fuses computer science, statistics and applied mathematics to solve application problems in a data-driven manner.

Department of Computer Science
Aalto university / kuva: Aino Huovio

Machine Learning and Artificial Intelligence

Machine learning, the core technology underlying many recent breakthroughs in Artificial Intelligence (AI), is one of the strengths of Aalto University, with a long history starting from neural network pioneers Teuvo Kohonen and Erkki Oja.

Department of Computer Science
Aalto University/Aino Huovio

Mobile and Distributed Systems

The mobile and distributed systems research focuses on the challenges brought by the large growth in data volumes through digitalization of society, and the huge increase in connected devices through Internet of Things (IoT).

Department of Computer Science
Human-sized lamp in the shape of the Aalto logo, capital A followed by an exclamation mark, stands in a dark space / photo by Aalto University, Lasse Lecklin

Security and Privacy

Our research aims to provide both a fundamental understanding of security and privacy issues, and practical solutions to enhance the security and privacy of real-world systems.

Department of Computer Science
Three students working on laptops in the Design Factory kitchen / photo by Aalto University, Unto Rautio

Software Engineering

The software engineering field studies the activities, processes and practices that create software artifacts, as well as the actual artifacts created.

Department of Computer Science
Aalto University/Unto Rautio

Visual Computing and Human Computer Interaction

Visual computing and HCI research focuses on computer systems that perceive the world and augment human perception, with the goal of easing life.

Department of Computer Science

Research Groups

Department of Computer Science hosts several research groups. Research groups are listed in alphabetical order.

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Computer Science research, processor on table

Research infrastructure

Department of Computer Science has in-house infrastructure for computational research hosted by Aalto Science-IT. In addition, Aalto University collaborate with national super computer facilities CSC.

Science-IT

Science-IT provides infrastructure for high-level computational research at Aalto University and is coordinated by the School of Science.

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Piece of code on the computer screen, colourful text

Research outputs

Latest research outputs from Department of Computer Science.

Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games

Jan E. Snellman, Rafael A. Barrio, Kimmo K. Kaski 2021 Physica A: Statistical Mechanics and its Applications

Tropomyosin Tpm3.1 Is Required to Maintain the Structure and Function of the Axon Initial Segment

Amr Abouelezz, Holly Stefen, Mikael Segerstråle, David Micinski, Rimante Minkeviciene, Lauri Lahti, Edna C. Hardeman, Peter W. Gunning, Casper C. Hoogenraad, Tomi Taira, Thomas Fath, Pirta Hotulainen 2020 iScience

Accounting for environmental variation in co-occurrence modelling reveals the importance of positive interactions in root-associated fungal communities

Nerea Abrego, Tomas Roslin, Tea Huotari, Ayco J.M. Tack, Björn D. Lindahl, Gleb Tikhonov, Panu Somervuo, Niels Martin Schmidt, Otso Ovaskainen 2020 MOLECULAR ECOLOGY

Higher host plant specialization of root-associated endophytes than mycorrhizal fungi along an arctic elevational gradient

Nerea Abrego, Tea Huotari, Ayco J.M. Tack, Björn D. Lindahl, Gleb Tikhonov, Panu Somervuo, Niels Martin Schmidt, Otso Ovaskainen, Tomas Roslin 2020 ECOLOGY AND EVOLUTION

Relaxing the strong triadic closure problem for edge strength inference

Florian Adriaens, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt, Antonis Matakos, Polina Rozenshtein 2020 Data Mining and Knowledge Discovery

A decision-theoretic approach for model interpretability in Bayesian framework

Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski 2020 Machine Learning

Transparency of SIM profiles for the consumer remote SIM provisioning protocol

Abu Shohel Ahmed, Mukesh Thakur, Santeri Paavolainen, Tuomas Aura 2020 Annales des Telecommunications/Annals of Telecommunications

Circadian rhythms in temporal-network connectivity

T. Alakorkko, J. Saramaki 2020 CHAOS

Automated structure discovery in atomic force microscopy

Benjamin Alldritt, Hapala Hapala, Niko Oinonen, Fedor Urtev, Ondrej Krejci, Filippo Federici Canova, Juho Kannala, Fabian Schulz, Peter Liljeroth, Adam Foster 2020 Science Advances

Web Semantics for Digital Humanities

Lora Aroyo, Franciska de Jong, Eero Hyvönen, Sara Tonelli 2020 Journal of Web Semantics
More information on our research in the Research database.
Research database
School of Science

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