Fundamental and applied AI research

Applying modern computing techniques to data analysis in astroparticle physics

Uncovering the fundamental epigenetic regulation mechanisms and their role in cell differentiation and aging

Developing, verifying, testing, and benchmarking modern concurrent algorithms

Creating a dependently typed language based on the homotopy type theory

Studying collaborative processes in SE and beyond to enable next-generation collaboration tools

Merging best practices from both areas to create new ways to develop and improve code

Developing self-orientation algorithms for a mobile robot and solving the SLAM problem

Simulation modeling of neural tissue development and involved cellular processes

Deep learning–based tool for knowledge extraction from scientific biomedical papers

Supporting fundamental research into programming languages and tools

Applying formal methods in software development to creating tools based on static analysis, verification, and program transformation