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

Deep Reinforcement Learning based Reliability-aware Resource Placement and Task Offloading in Edge Computing

Jingyu Liang, Zihan Feng, Han Gao, Ying Chen, Jiwei Huang, Linh Truong 2024 The 2024 IEEE International Conference on Web Services

Novel contract-based runtime explainability framework for end-to-end ensemble machine learning serving

Minh Tri Nguyen, Hong Linh Truong, Tram Truong-Huu 2024 Proceedings - 2024 IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN 2024

Security Orchestration with Explainability for Digital Twins-based Smart Systems

Tri Nguyen, An Ngoc Lam, Phu Nguyen, Linh Truong 2024

Queueing Analysis of an Ensemble Machine Learning System

Keishin Tsutsumi, Tuan Phung-Duc, Linh Truong 2024 The 28th International Conference on Analytical and Stochastic Modelling Techniques and Applications

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
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

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