Research areas at DTU Informatics

Mathematical statistics

Environmental statistics, statistical design and analysis of experiments, time series analysis, stochastic control theory, multivariate analysis and classification, stochastic processes

Image analysis & computer graphics

Biomedical imaging, industrial vision, material science, remote sensing, scientific visualisation and virtual reality, surveying, error theory

Cognitive systems

Theory and methods for machine learning/adaptive signal processing, neuroimaging, biomedical signal processing, monitor systems, multimedia, humanitarian demining

Scientific computing

Optimization, dynamical simulation and inversion algorithms. Matrix computations, parallel algorithms, partial differential equations, high-performance computing

DTU Data Analysis

DTU Data Analysis is a special section at DTU Informatics which is dedicated to support other departments at DTU with knowledge on data analysis.

Language-based technology

Network Technology (including privacy and intrusion detection), and Language-Based Technology (including static program analysis, operational semantics, process calculi and software validation)

Software engineering

Object-oriented design (including development tools), and formal specification languages (including functional, algebraic and logical descriptions)

Algorithms and logic

Knowledge engineering using formal logical methods and representations and algorithmics and computational logic, including logic programming methodology and logical analysis of programs

Embedded systems engineering

A particular focus of ESE is to use these competences for the design of embedded systems where close interaction between hardware and software components are necessary and where issues such as cost, timeliness, dependability, energy consumption, re-configurability and adaptability are often competing requirements.