Research
Research
Our Research Areas
Algorithms & Theory
The research area of algorithms and theory pursues fundamental research at the synthesis of algorithmic and mathematical foundations of computing, integrating a broad range of expertise including multiple areas of algorithmics, computational complexity, cryptography, distributed computing, logic, and quantum computing.
Artificial Intelligence
The research area focuses on studying methodological issues in AI, with the goal is to produce computationally efficient, theoretically justified and reliable methods. The research area unites machine learning, artificial intelligence, and data science to build systems that learn from data, handle uncertainty, and act responsibly in the real world. The research is tightly connected to national and international AI initiatives such as the ELLIS network.
Computational Science
The research area covers the multi-disciplinary activities on computational modelling and data analysis of systems and data arising in various scientific disciplines, for example biology, chemistry, earth sciences, medicine and network science. The focus is in the development of original algorithms and models and their application in collaboration with leading national and international experts in the application fields.
Human-centric computing
Human-Centric Computing (HCC) is a research area at the intersection of computing, interaction technologies, and human-centered design. It utilizes transdisciplinary approaches to critically research, design, develop, and evaluate both current and emerging technologies (as well as the behaviors, processes, models, practices, and experiences surrounding them) across human, artificial, and non-human actors, while assessing impacts on individuals, society, and ecosystems. The field draws on scholarship and practice from computer science, cognitive science, psychology, sociology, anthropology, media and the arts, design, education, ethics, public policy, and related areas.
Software Systems
Software systems research centers on designing, engineering, and analyzing complex, secure, and intelligent digital infrastructures. Key focus areas include distributed systems, cloud/edge computing, software engineering, and AI-driven software, with a strong focus on practical, industrial, and social applications.