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

Enabling Awareness of Quality of Training and Costs in Federated Machine Learning Marketplaces

Tien-Dung Cao, Linh Truong, Tram Truong-Huu, Tri Nguyen 2022 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)

A Full Lifecycle Authentication Scheme for Large-scale Smart IoT Applications

Fei Chen, Zixing Xiao, Tao Xiang, Junfeng Fan, Linh Truong 2022 IEEE Transactions on Dependable and Secure Computing

Smart Contract Enabled Decentralized Reputation System for E-Commerce Reviews

Carl Kugblenu, Petri Vuorimaa, Barbara Keller 2022 Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 21st International Conference, NEW2AN 2021, and 14th Conference, ruSMART 2021, Proceedings

Data-driven Capacity Planning for Vehicular Fog Computing

Wencan Mao, Özgür Akgul, Abbas Mehrabidavoodabadi, Byung Cho, Yu Xiao, Antti Ylä-Jääski 2022 IEEE Internet of Things Journal

Efficient and Fair Multi-Resource Allocation in Dynamic Fog Radio Access Network Slicing

Thaha Mohammed, Behrouz Jedari Ghourichaei, Mario Di Francesco 2022 IEEE Internet of Things Journal

Knowledge Sharing in AI Services: A Market-based Approach

Thaha Mohammed, Si-Ahmed Naas, Stephan Sigg, Mario Di Francesco 2022 IEEE Internet of Things Journal

Context-driven Policies Enforcement for Edge-based IoT Data Sharing-as-a-Service

Huu-Ha Nguyen, Phu Phung, Phu Nguyen, Linh Truong 2022 Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022

Quality of Service Aware Orchestration for Cloud–Edge Continuum Applications

Adrián Orive, Aitor Agirre, Hong Linh Truong, Isabel Sarachaga, Marga Marcos 2022 Sensors

Cognitive Load Theory in Computing Education Research: A Review

Rodrigo Silva Duran, Albina Zavgorodniaia, Juha Sorva 2022 ACM Transactions on Computing Education

Learning How to Configure LoRa Networks with No Regret: a Distributed Approach

Veronica Toro Betancur, Gopika Premsankar, Chen-Feng Liu, Mariusz Slabicki, Mehdi Bennis, Mario Di Francesco 2022 IEEE Transactions on Industrial Informatics
More information on our research in the Research database.
Research database

Related units

Helsinki Institute for Information Technology HIIT (external link)

Collaborative institute for research on information technology.


Finnish Center for Artificial Intelligence FCAI (external link)

International research hub for artificial intelligence

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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