Forskning inom datateknik

Vi beaktar såväl teoretiska som praktiska tillämpningar inom alla delområden av vår forskning. Tack vare det är vår forskning genomslagskraftig och vi utvecklar även samhälleligt betydande tillämpningar.
PML Research Group in Department of Computer Science

Forskningsområden

Forskningen inom institutionen för datateknik är indelad i sju olika forskningsområden. Läs mer nedan (på engelska).

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.

Läs mer (på engelska)
Computer Science research, processor on table

Science-IT

Science-IT tillhandahåller en infrastruktur för avancerad beräkningsforskning på Aalto-universitetet och samordnas av Högskolan för teknikvetenskaper.

Read more
Piece of code on the computer screen, colourful text

Publikationer

Movies and narratives as naturalistic stimuli in neuroimaging

Iiro P. Jääskeläinen, Mikko Sams, Enrico Glerean, Jyrki Ahveninen 2021 NeuroImage

Archetypes of delay

Abdoul Djawadou Salaou, Daniela Damian, Casper Lassenius, Dragoş Voda, Pierre Gançarski 2021 Information and Software Technology

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

Performance analysis of sparse matrix-vector multiplication (Spmv) on graphics processing units (gpus)

Sarah Alahmadi, Thaha Mohammed, Aiiad Albeshri, Iyad Katib, Rashid Mehmood 2020 Electronics (Switzerland)
More information on our research in the Research database.
Research database
Högskolan för teknikvetenskaper

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