Department of Mathematics and Systems Analysis

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Department of Mathematics and Systems Analysis

Our main research areas are algebra and discrete mathematics, analysis, applied mathematics and mechanics, stochastics and statistics, and systems analysis and operations research. We offer major and minor studies at both bachelor's and master's levels and provide doctoral research training. Our graduates have been recruited by universities, research institutes, governmental agencies as well as companies in the financial, energy and transportation sectors.

Aalto University / Department of Mathematics and Systems Analysis

For full information on the department, visit:

math.aalto.fi

Our research groups:

News

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University Published:
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Appointments, Cooperation Published:

Teaching and collaborating across Europe: Aalto researchers at TU Darmstadt

Hear from Aalto researchers about their experience at TU Darmstadt.
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Awards and Recognition Published:

Seven new honorary doctors in technology at Aalto University in 2026

The ceremonial conferment takes place on university campus in June.
Juha Gogulski, kuva: Matti Ahlgren, Aalto-yliopisto
Research & Art Published:

Juha Gogulski develops personalized brain stimulation therapy for depression

Aalto University postdoctoral researcher and Instrufoundation Fellow grant recipient Juha Gogulski is developing individualized brain stimulation treatments for patients with depression.

Events

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Lectures and seminars

CS Special Seminar: Tuukka Korhonen "How Graph Structure Makes Hard Problems Tractable"

This talk is arranged at the Department of Computer Science.
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Lectures and seminars, Networking

Aalto CS Talks

Azade Farshad: Semantic and Symbolic Vision Models for General and Medical Applications
Vili Lehdonvirta: Untrusted infrastructure: why governments run on foreign platforms and what computer scientists can do about it
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Public defences

Public defence in Engineering Physics, M.Sc. Isaac Y. Miranda Valdez

Optimizing the modeling of soft materials like gels using fractional calculus and machine learning to enhance material design.
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Public defences

Public defence in Computer Science, M.Sc. Çağlar Hizli

Causality, identifiability, and representation learning for machine learning with non-i.i.d. data (title of the thesis).

Where to find us

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