Department of Computer Science

Computing Systems

The study, design and development of modern computing systems.
Networks illustration by Matti Ahlgren

Internet has catalysed modern computing to evolve towards distributed architectures rapidly, creating novel technology paradigms like cloud computing and IoT. Computing Systems conducts interdisciplinary research into the infrastructure and systems that support such novel technology paradigms. The research ranges from theoretical, such as distributed systems, distributed system architectures and distributed algorithms to applied such as IoT, Web Services, Analytics, Ubiquitous Computing, Systems for Machine Learning and Distributed Multimedia systems. These research areas are intersectional in their design, underlying infrastructure and service delivery constraints. Focus areas include IoT management, networking and applications, vehicular networks, edge computing, web service design and analytics, system analytics, video delivery optimization and low latency distributed multimedia systems including cloud/edge rendered XR. The research uses empirical methodologies to leverage human factors like human visual system and human computer interaction in system design, specifically in cloud rendered XR and ubiquitous computing.

Key words: cloud computing, edge computing, IoT, performance, systems software, distributed systems, resource-aware and green computing

Informaationäytöllä on säätietoja, uutisia ja tapahtumia.

Researchers predict viewer interest, not just attention, in public screen content

New method automatically adapts content to user preferences by using easily obtainable viewing data


Mario Di Francesco elected Computer Science teacher of the year 2020

The teacher of the year was announced at the CS department’s online holiday party on Thursday 17 December 2020.

Illustration of the Internet of Things

What prevents us from making the most of the IoT? Aalto researchers developed ways to make IoT truly ubiquitous

For his doctoral dissertation, Óscar Novo Díaz researched the technical challenges that prevent us from using the full potential of the Internet of Things

photo: Aleksi Neuvonen

What if AR Navigation could help you find free coffee at Slush?

VimAI uses machine learning mixed with computer vision to bring on a new kind of augmented reality or as they say, augmented intelligence, for indoor settings. It’s all easily accessible on a smartphone, and with no hefty infrastructure investment.

Maria Montoya is establishing an info screen in computer science building at Aalto University

Algorithms make information displays more interesting

To make content shown in information displays more interesting for passers-by, computer scientists apply a theory from behavioral sciences


Related research groups

Latest publications

Candidate Solutions for Defining Explainability Requirements of AI Systems

Nagadivya Balasubramaniam, Marjo Kauppinen, Linh Truong, Sari Kujala 2024 Requirements Engineering: Foundation for Software Quality

Resumability - a New Primitive for Developing Web Applications

Juho Vepsalainen, Misko Hevery, Petri Vuorimaa 2024 IEEE Access

Analyzing Microservice Connectivity with Kubesonde

Jacopo Bufalino, Mario Di Francesco, Tuomas Aura 2023 ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Teaching Programming with Graphics: Pitfalls and a Solution

Luca Chiodini, Juha Sorva, Matthias Hauswirth 2023 Proceedings of the 2023 ACM SIGPLAN International Symposium on SPLASH-E

Arguments for and Approaches to Computing Education in Undergraduate Computer Science Programmes

Quintin Cutts, Maria Kallia, Ruth Anderson, Tom Crick, Marie Devlin, Mohammed Farghally, Claudio Mirolo, Ragnhild Kobro Runde, Otto Seppälä, Jaime Urquiza-Fuentes, Jan Vahrenhold 2023 ITiCSE-WGR 2023 - Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education

Considering Computing Education in Undergraduate Computer Science Programmes

Quintin Cutts, Maria Kallia, Ruth Anderson, Tom Crick, Marie Devlin, Mohammed Farghally, Claudio Mirolo, Ragnhild Kobro Runde, Otto Seppälä, Jaime Urquiza-Fuentes, Jan Vahrenhold 2023 ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education

Guest Editorial: Networking Challenges and Opportunities for Multi-UserXR and the Metaverse

Bo Han, Tristan Braud, Mario Di Francesco, Maria Gorlatova, Luyang Liu, Gabor Soros, Pengyuan Zhou 2023 IEEE NETWORK

Exploring the Responses of Large Language Models to Beginner Programmers’ Help Requests

Arto Hellas, Juho Leinonen, Sami Sarsa, Charles Koutcheme, Lilja Kujanpää, Juha Sorva 2023 ICER '23: Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1
More information on our research in the Aalto research portal.
Research portal
PML research gropu at department of computer science, photo Matti Ahlgren

Research in Computer Science

Research in the Department of Computer Science

Department of Computer Science
Artistic depiction of a bright light in space / made by Ray Scipak

School of Science

Science for tomorrow’s technology, innovations and businesses

  • Published:
  • Updated: