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


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

IoT Cloud Security Review

Fei Chen, Duming Luo, Tao Xiang, Ping Chen, Junfeng Fan, Linh Truong 2021 ACM COMPUTING SURVEYS

Data-driven Energy Conservation in Cellular Networks: A Systems Approach

Gopika Premsankar, Guangyuan Piao, Patrick K. Nicholson, Mario Di Francesco, Diego Lugones 2021 IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT

Using IoTCloudSamples as a software framework for simulations of edge computing scenarios

Linh Truong 2021 Internet of Things: Engineering Cyber Physical Human Systems

Foveated streaming of real-Time graphics

Gazi Karam Illahi, Matti Siekkinen, Teemu Kamarainen, Antti Yla-Jaaski 2021 MMSys 2021 - Proceedings of the 2021 Multimedia Systems Conference

Benchmarking Blockchain Interactions in Mobile Edge Cloud Software Systems

Hong Linh Truong, Filip Rydzi 2021 Benchmarking, Measuring, and Optimizing - Third BenchCouncil International Symposium, Bench 2020, Revised Selected Papers

ASRE – Towards Application-specific Resource Ensembles across Edges and Clouds

Linh Truong 2021 17th International Conference on Network and Service Management

Modeling Communication Reliability in LoRa Networks with Device-level Accuracy

Veronica Toro Betancur, Gopika Premsankar, Mariusz Slabicki, Mario Di Francesco 2021 INFOCOM 2021 - IEEE Conference on Computer Communications

On Analysis of Security and Elasticity Dependency in IIoT Platform Services

Rohit Raj, Linh Truong 2021 2021 IEEE International Conference on Services Computing (SCC)
More information on our research in the Research database.
Research database

Related units

Helsinki Institute for Information Technology HIIT (external link)

HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology.


Finnish Center for Artificial Intelligence FCAI (external link)

Nation-wide competence center for Artificial Intelligence in Finland.

Finnish Center for Artificial Intelligence
PML research gropu at department of computer science, photo Matti Ahlgren

Research areas

Research areas in the Department of Computer Science

Department of Computer Science
Aerial photo of Computer Science Building at Aalto University campus

Department of Computer Science

To foster future science and society.

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

School of Science

Science for tomorrow’s technology, innovations and businesses

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