DSE 2.0 concerns research on DSE techniques for complex dCPS

The NEASQC project brings together academic experts and industrial end-users to investigate and develop a new breed of Quantum-enabled applications that can take advantage of NISQ (Noise Intermediate-Scale Quantum) systems in the near future. NEASQC is use-case driven, addressing practical problems…

The project XAIPre (pronounce “Xyper”) aims to develop predictive maintenance system for the maritime industry using sensor technology and artificial intelligence. The project aims at developing Explainable Predictive Maintenance (XPdM) algorithms that do not only provide the engineers with a prediction…

The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.

Your brain responds in a predictable way when it encounters new or difficult tasks. This unique book teaches you concrete techniques rooted in cognitive science that will improve the way you learn and think about code.

In CCLS several subgroups have formed, below you can find an overview of these groups with the names of the leading researchers and a short outline of the project.

The research presented in this thesis concerns one of the most important questions in software engineering of our time: how can we make sure that software is free from memory safety bugs?

NeuroSoC concentrates on multiprocessor systems on chip with in-memory neural processing units.

In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…

Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements

We examine the effect of social learning on emotional competence in children and adolescents with a typical or atypical development.

Born in Europe roughly 100 years ago, quantum physics brought forth a veritable technological revolution through semiconductors, lasers, fibre optics, and many other technologies that are today ubiquitous in our lives. Now, during the second quantum revolution, Europe can take the lead once more in…

LIACS organizes different lectures and seminars like the LCN2 Seminars and SAILS Lunch Time-seminars.

The master's specialisation Bioinformatics at Leiden University focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data.

At CWTS, we offer a range of educational and training activities designed to equip students, researchers, and professionals with the skills and knowledge to better understand the science system and its interactions with society.

Next to internships we have different ways to collaborate. See below for more information about LUdev and the AI Collaboration team.

Study of human cultures using computational approaches

Music and language both communicate through sound, including timing and pitch. While language mainly conveys semantic meaning, instrumental music does not, and is typically seen as expressing emotion. This project investigates how well listeners recognize intended expressive feelings in music, instructed…

On this page you can find information about previous CCLS events.

LCN2 hosts seminars on the last Friday of each month.

The German professor of Information Systems and Statistics Heike Trautmann accepted the Pascal chair this month at LIACS, the computer science institute of Leiden University. Trautmann’s main research areas are evolutionary multiobjective optimisation and data science, in which LIACS is strong as we…

The LIACS Media Lab has received a research grant from the worldwide leading graphics hardware company NVIDIA. The grant exists of newly developed hardware utilizing thousands of processors. LIACS researchers will use it to investigate deep learning in understanding imagery from sources such as MRI…

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

In 2021 we will start with a weekly lunch time seminar series, online on Mondays from 12 noon onwards.

This year's RISE Award goes to emeritus professor Jetty Kleijn (LIACS). According to the board of RISE, Kleijn has dedicated herself in the past years to gender equality within LIACS and the Faculty of Mathematics and Natural Sciences. It is the first time since the introduction of the award in 2018…

On 15 November Joost Visser started as Professor of Large Scale Software and Data Science at the Leiden Institute of Advanced Computer Science (LIACS). He will head the software engineering research at LIACS and becomes head of the ICT in Business and the Public Sector master's program.

The Dutch research school IPA has awarded former LIACS PhD student Jurriaan Rot with the IPA Dissertation Award 2015. In his PhD thesis Rot studies coinduction, a relatively new mathematical technique that makes it possible to define and prove properties of circular and infinite data structures.

On April 26, three separate projects from LIACS Media Technology group members were awarded a

On June 26, 2014, LIACS organizes an event where you can learn more about LIACS research on Bioscientific data processing and modelling, as well as Bioinformatics support by the BioIT team.