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

XR-enabled Hybrid Doctoral Thesis Defense: Design and Real-world Deployment

Ahmad Alhilal, Kit Yung Lam, Lik-Hang Lee, Xuetong Wang, Sijia Li, Matti Siekkinen, Tristan Braud, Pan Hui 2026 IEEE Multimedia

Effects of Adding Friction to Attention-Capture Patterns in TikTok

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

CHARM : Chiplet Heterogeneity-Aware Runtime Mapping System

Alessandro Fogli, Bo Zhao, Peter Pietzuch, Jana Giceva 2026 EUROSYS 2026 - Proceedings of the 2026 European Conference on Computer 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

DISCOVER: A Solver for Distributional Counterfactual Explanations

Yikai Gu, Lele Cao, Bo Zhao, Lei Lei, Lei You 2026 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2026, Proceedings

AI Accelerator Latencies in Hybrid Vehicular Simulation

Jussi Hanhirova, Matias Hyyppä, Anton Debner, Vesa Hirvisalo 2026 1st Workshop on Emerging Deep Learning Accelerators (EDLA)

Iterative Poisson Solvers for Self-gravity with the GPU Code Astaroth

Ruben Krasnopolsky, Touko Puro, Wei Wen Li, Hsien Shang, Miikka S. Väisälä, Mordecai Mark Mac Low, Matthias Rheinhardt, Maarit Korpi-Lagg 2026 Publications of the Astronomical Society of the Pacific

Decoding correlated errors in quantum LDPC codes

Arshpreet Singh Maan, Francisco Miguel Garcia Herrero, Alexandru Paler, Valentin Savin 2026 Nature Communications

On the constant depth implementation of Pauli exponentials

Ioana Moflic, Alexandru Paler 2026 npj Quantum Information
More information on our research in the Aalto research portal.
Research portal
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