CoDAI Computational Data Analysis and Imaging
CoDAI aims to be a leading research group at the intersection of data science, computation, and imaging. Our vision is a future where advanced methods in data analysis, imaging, and especially hyperspectral imaging support, for example, medicine, environmental monitoring, and space exploration.
Table of contents
Research group type
Research group
Core fields of research
Basic natural phenomena and mathematical thinking
Information technology and the human in the knowledge society
Research areas
Computational Science
Faculty
Faculty of Information Technology
Research group description
Mission
Our mission is to:
- Develop new methods in computational data analysis and imaging that are both powerful and resource-efficient.
- Open new application areas through interdisciplinary projects piloting novel sensors and technologies to real scenarios.
- Bridge emerging technologies and application domains by creating solutions that work across different sensors, devices, and data sources.
- Educate and inspire the next generation of researchers and professionals by integrating research-driven teaching, interdisciplinary collaboration, and strong analytical foundations.
- Collaborate with society and industry to ensure our research has real-world impact—from medical diagnostics and climate resilience to technological innovation.
Impact
CoDAI will strengthen the university’s research excellence, create new educational opportunities, and contribute to solving global challenges by combining computational science, machine learning, and imaging technologies into one coherent effort.
Research group
Members
External members
PhD Monika Wolfmayr
Phd
JAMK University of Applied Sciences
PhD Samuli Rahkonen
Phd, our alumni
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PhD Leevi Lind
PhD, our alumni
-
Prof. Esen Erden
Professor
University of Ankara
Hongbo Lin
Professor
Jilin University
Kate Thompson
MSc
Madison-Wisconsis University
Zheng Zhang
Professor
University of Electronic Science and Technology of China