Research
Research in Computer Science span five joint research themes: Decision Support, Data Management and Analytics, Software Systems Engineering, Networked and Distributed Systems, and Security and Privacy. Key areas include artificial intelligence and machine learning, where researchers work on developing intelligent systems and algorithms. The faculty also excels in data science, focusing on big data analytics and information retrieval. Cybersecurity is another significant area, with efforts to design robust systems and protocols to protect against cyber threats. Students in the computer science faculty at TU Delft gain hands-on experience with cutting-edge technologies and methodologies. They learn to develop innovative software solutions, conduct rigorous research, and address complex problems in computing and information systems. This comprehensive education equips them with the skills needed for careers in academia, industry, and beyond. Co-operative research Collaboration with companies and research institutes. Innovation Pioneering breakthroughs through cutting edge research. Diversity Fostering an inclusive environment that drives creativity and excellence Sections Following a joint Computer Science mission the 12 Sections of the INSY and ST departments work around research themes supported by a critical mass of research capacity emerging from a significant track record of excellence over the past years. Joint Research Initiatives Blockchain Lab PowerWeb Platform AI, Data and Digitalization Internet of Things Publications Access all department publications here. Research Engineering and Infrastructure Team (REIT) We are a diverse team of Research Engineers dedicated to support students and researchers with our expertise in software engineering, data science, and high-performance computing. Our mission is to enable researchers to focus on their research by providing them with the best possible research infrastructure and support. INSYGHT Lab The INSYGHT Lab of the TU Delft is a highly visible facility that hosts experimental installations for multi-modal perception and generation. The lab is equipped with multi-camera capture systems, advanced robots, a robotic arm, audio synthesis, a sound-attenuated booth, and XR equipment. This showcase lab facility is focused on interdisciplinary research on computer vision, interactive intelligence and visualization.