Computational Science

Computational science sees the computer primarily as a tool for doing science, one that helps acquire new knowledge through computation.

Computational science covers the whole chain from theory generation to practical application 

Computational science methods are needed to study theories describing basic natural phenomena, to reliably analyse experiments and observations, and to make decisions based on computational models. Research and developing new methods in computational science provides scientific insight into the reliability of methods and sources of error.

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Our research is multidisciplinary and includes mathematical modeling and simulation, big data, quantum computing and cognitive computing.

The research area is led by ProfessorTimo Tiihonen.

Cooperation with the Faculty of IT

Research groups and projects

Research group

Collective Intelligence

Collective Intelligence research group is a team of specialists in various areas of Artificial Intelligence (AI) including Machine learning (ML) among others; and we are aiming on improving AI and ML itself (not just on applying AI and ML as such).
Research group

Computational Data Science

Discover the future with the Computational Data Science Research Group: Harnessing the power of machine learning and advanced analytics to turn complex data into innovative solutions in spectral imaging, health science, and beyond.
Research group

Human and Machine based Intelligence in Learning (Humble)

Human and Machine based Intelligence in Learning (Humble) focus on the development of data mining and machine learning methods based on human intelligence and collaboration and uses these methods to advance learning analytics about learners and learning.
Research group

Multiobjective Optimization Group

Enabling better decision making in the presence of conflicting objectives inspires the Multiobjective Optimization Group of the Ä¢¹½Ö±²¥, Finland.
Research group

Quantum Information and Computation Team

Quantum Information and Computation Team is on a mission to decode the quantum realm's computational power and to push the boundaries of what's ultimately possible in computing and communication.
Project

Academic Response to Hybrid Threats

Academic Response to Hybrid Threats
Project

ASPECT - Autonomous tree health analyzer based on imaging UAV spectrometry

UAV
Project

FireMan: Unmanned aerial systems based solutions for real-time management of wildfires

Developing disruptive AI-based technology for the fast-paced detection of wildfires and for creating situational awareness during wildfire events using autonomous unmanned aerial systems (UASs, drones).
Project

From Samples to Satellites

The project develops optical functional classification of inland phytoplankton from satellite images
Project

High performing machine learning for novel catalyst design (MLNovCat)

The consortium for the project is interdisciplinary, consisting of three groups at the Ä¢¹½Ö±²¥ that have demonstrated complementary expertise in the computational catalysis, materials science, and computational science.
Project

LearnDigi - Digitalization in and for learning and interaction

LearnDigi is a profiling area of JYU funded by Academy of Finland. We aim to examine ways in which technologies are used to support learning and knowledge construction, and the impacts of increasing digitalization on learning and interaction.
Project

MIDAS - Microalgae Digital Applications

The MIDAS consortium develops the integration and concatenation of microalgae bioprocesses by means of sensorics and modeling.
Project

qSIME - Quantum simulations and measurements for nanotechnology

qSIME strengthens JYU's position within the Finnish quantum research scene by boosting our already strong research in quantum nanomaterials with quantum computing.
Project

ROBA - Robust Algae Systems

This project focuses on carbon capture using microalgae and on-site monitoring methods of microalgae cultivations.
Project

SICSURFIS: Spectral Imaging of Complex Surface Tomographies

Spectral imaging project from device (FPI) to medical application (skin cancer diagnostics).
Project

The Finnish Quantum Flagship

The Finnish Quantum Flagship consolidate and expand the national ecosystem, promote cutting-edge research that boosts the emergence of new businesses, and secure our position as a leading quantum-enabled society.

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Research at the Faculty of Information Technology

Our key research areas form one of the strategic core fields in the Ä¢¹½Ö±²¥'s research profile: Information technology and the human in the knowledge society.

Software engineering

Software engineering research is practical and often based on solving practical problems in new and innovative ways.

Learning and Cognitive Sciences

Learning and Cognitive Sciences combines human sciences and technical subjects.