Groups

The Faculty of Computer Science at TU Delft is renowned for its diverse and impactful research groups. Key areas of focus include Cyber Security, which protects information systems from threats; Data Analytics and Machine Learning, which extracts insights from large datasets for fields like healthcare and finance; Distributed Systems, which enhances the efficiency and reliability of networked computing environments; Human-Centered Design, which improves user-computer interactions and interface usability; and Software Engineering, which advances development processes to improve software quality and performance. Together, these groups drive technological innovation and address complex global challenges.

Software Technology

Quantum Computer Science

Quantum Computer Science merges quantum mechanics with computing to create powerful quantum computers capable of processing complex calculations. Research includes developing quantum algorithms, error correction, and scalable hardware.

Embedded and Networked Systems

The research of Embedded Software concerns the software side of embedded systems, which are characterized by their limited visibility, autonomous operation, real-time activities, and constrained resources making software design a challenging and fun task.

Web Information Systems

In its research and education, the Web Information Systems (WIS) group aims to make web information system engineering more effective in processing, retrieving, and interpreting human‐generated web data.

Intelligent Systems

Multimedia Computing

The Multimedia Computing (MMC) Group develops algorithms for enriching, accessing, and searching large quantities of data. Such algorithms lie at the core of tomorrow’s search engines and large-scale recommender systems.

Computer Graphics and Visualization

The Computer Graphics and Visualization (CGV) group investigates fundamental concepts and technologies for realistic, perceptual, and expressive rendering, visualization of scientific and medical data, interaction and games.

Pattern Recognition and Bioinformatics

Pattern recognition is concerned with processing raw measurement data by a computer to arrive at a prediction, which can then be used to formulate a decision or action to take.

Cybersecurity

The Cybersecurity group researches various topics, ranging from cryptography to data analytics, and focuses on improving cybersecurity.

Interactive Intelligence

The Interactive Intelligence (II) section focuses on social, intelligent agents. We research the intelligence that underlies and co-evolves during the repeated interactions of human and technology “agents” who cooperate to achieve a joint goal.

Sequential Decision Making

The Sequential Decision-Making research group focuses on developing algorithms and models for making decisions over time under uncertainty. Their research spans reinforcement learning, Markov decision processes, and optimization techniques.