Department of Computer Science

Computing Systems

We design and develop the fundamental technologies for the convergence of computing, data, intelligence, and connectivity from distributed infrastructures that form the foundation of our modern information society. We ensure that the systems we rely on every day are fast, secure, resilient, intelligent, and sustainable.
Networks_illustration_Matti_Ahlgren-01

At the core of our research is the distributed converged "engine room" of the digital world. We develop the foundations of distributed convergence and continuum computing systems for how thousands of devices, machines and people communicate and coordinate their works, how data is processed and turned into valuable knowledge to enable intelligence and autonomy, and how we ensure such complex computing systems operate secure, reliable, and performant. 

Our expertise spans the entire spectrum of the computing continuum: from massive supercomputers and cloud services, to edge systems, to everyday smart objects, embedded systems, and the frontier of quantum computing. Our work ensures that the underlying infrastructure remains efficient, resilient, and trustworthy for the real-world massive data flows and workloads of AI, enterprises, manufacturing, sciences, and human-centric platforms. By bridging the gap between complex co-design of hardware and system software, the meaning of information, and diverse applications, we create new ways for technology to serve people and society, empowering the sovereignty of computing systems, data and AI.

Latest publications

COSMOS-Web : estimating physical parameters of galaxies using Self-Organizing Maps

Fatemeh Abedini, Ghassem Gozaliasl, Akram Hasani Zonoozi, Atousa Kalantari, Maarit Korpi-Lagg, Olivier Ilbert, Hollis B. Akins, Natalie Allen, Rafael C. Arango-Toro, Caitlin M. Casey, Nicole E. Drakos, Andreas L. Faisst, Carter Flayhart, Maximilien Franco, Hosein Haghi, Aryana Haghjoo, Santosh Harish, Hossein Hatamnia, Jeyhan S. Kartaltepe, Ali Ahmad Khostovan, Anton M. Koekemoer, Vasily Kokorev, Rebecca L. Larson, Gavin Leroy, Daizhong Liu, Henry Joy McCracken, Jed McKinney, Nicolas McMahon, Wilfried Mercier, Bahram Mobasher, Sophie Newman, Louise Paquereau, Jason Rhodes, Brant E. Robertson, Sogol Sanjaripour, Marko Shuntov, Sina Taamoli, Sune Toft, Francesco Valentino, Eleni Vardoulaki, John R. Weaver 2026 Monthly Notices of the Royal Astronomical Society

Effects of Adding Friction to Attention-Capture Patterns in TikTok

Juho Alin, Tyler Eck, Sanna Suoranta 2026 Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Asymptotic Behaviour of Galactic Small-scale Dynamos at Modest Magnetic Prandtl Number

Frederick A. Gent, Mordecai Mark Mac Low, Maarit J. Korpi-Lagg, Touko Puro, Matthias Rheinhardt 2026 Astrophysical Journal Letters

High-Resolution Modeling of Coronae and Winds in Solar-Type Stars with Varying Rotation Rates. I. X-Ray Coronae

Yue-Hong Chen, Julian D. Alvarado-Gómez, Xin Cheng, Yu Dai, Tong Shi, Katja Poppenhäger, Chen Xing, Shun Inoue, Jörn Warnecke, Maarit Korpi-Lagg, Mingde Ding 2025 The Astrophysical Journal
More information on our research in the Aalto research portal.
Research portal
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