965 search results for “liacs” in the Public website
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Prof. G. Rozenberg
LIACS prof. Grzegorz Rozenberg is one of the world leaders in research on Theoretical Computer Science and Natural Computing. He is often called the guru of Natural Computing.
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Why Leiden University?
The Computer Science and SCS master specialisation gives you the opportunity to combine fundamental research in computer science with different aspects of science communication.
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Why Leiden University
Located in the friendly small city of Leiden in the centre of the Netherlands, Leiden University has for centuries been at the forefront of developments in science and that excellent continues today, with world-leading institutes of computer science, mathematics, physics, astronomy, and chemistry. …
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Why Leiden University?
The Computer Science and Education master specialisation gives you the opportunity to combine computer science research with an excellent education in becoming a teacher.
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Why Leiden University?
Combine research in Computer Science with different aspects of business studies and learn how to build bridges between science and business.
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Why Leiden University?
Our programmes are known for our scientifically based education and for our open atmosphere.
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HealthBox
The Metabolic syndrome affects over 5 million people in the Netherlands. The HealthBox is an initiative from LUMC and NeLL to provide an innovative solution to help prevent and manage this chronic condition.
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The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…
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Institute Council
The Institute Council consists of scientists, lecturers, support staff and students. They provide a forum for discussing the institute’s current situation and its prospects.
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Machine Learning in Quantum Sciences
Cambridge University Press has published a new book co-authored by researchers from Leiden University, offering both an introduction to machine learning and deep neural networks, and an overview of their applications in quantum physics and chemistry — from reinforcement learning for controlling quantum…
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Contact
Do you have any questions about the master’s specialisation Computer Science and Business Studies? Please contact us.
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Contact
Do you have questions (not related to admissions) about the Computer Science master's programme? Please contact us.
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Contact
Do you have any questions about the master’s specialisation Computer Science and Education? Please contact us.
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LED3 PhD/Postdoc Symposium
Conference
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SAILS Lunch Time Seminar: Flor Miriam Plaza del Arco
Lecture
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Contact
Do you have any questions about the master’s specialisation Computer Science and Science Communication & Society? Please contact us.
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Efficient and Automatic Tomographic Reconstruction Algorithms
In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.
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Automated Machine Learning for Neural Network Verification
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Rachel de JongFaculty of Science
r.g.de.jong@liacs.leidenuniv.nl | +31 71 527 4799
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Awards and Grants 2020
An overview of awards and prizes granted to our staff and students in 2020, as well as special appointments at Leiden University and other institutions.
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Elective courses
Elective courses enable students to gain deeper insight into scientific topics of their choice, and they prepare students for their individual graduation project. They can be elected from Leiden University, but also from other (inter)national universities.
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Exploring Means to Facilitate Software Debugging
In this thesis, several aspects of software debugging from automated crash reproduction to bug report analysis and use of contracts have been studied.
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
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Inaugural lecture: Data of Value
By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.
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Handbook of Natural Computing
Natural Computing investigates algorithms and phenonema based on nature to create better and new computer science innovations.
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Inaugural lecture: Where science meets business
What is and should be the role of universities in supporting business? How can business benefit more of relationships with science? And what is the role of policy makers in supporting a productive relationship between science and business? Professor Simcha Jong Kon Chin examines the interactions between…
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Prospectus
This e-Prospectus gives an overview of the education and subjects LIACS offers.
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Previous winners
Discover the outstanding researchers and educators recognised by our faculty. This page gives an overview of all prize winners.
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Pascal chair 2023
Peter Flach is Professor of Artificial Intelligence at the University of Bristol. An internationally leading scholar in the evaluation and improvement of machine learning models using ROC analysis and calibration, he has also published on mining highly structured data, on knowledge-driven and explainable…
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Contact us
If you have any questions, we’ll be happy to help you!
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Optimality
Optimality in plant properties and processing.
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Information-theoretic partition-based models for interpretable machine learning
In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.
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Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
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Microscopy
Visualising structures of life
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High-Tech Innovation Specialisation - Online Information Event
HTI
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Schedules
These are the schedules for the (Double) Bachelor, Minor and Master programmes at LIACS.
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Why Leiden University?
The programme will give you the opportunity to choose from a broad range of topics to study. You will be part of an international multidisciplinary research team at our institute.
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Minimal structure modeling
Existing work in probabilistic language modeling can be mostly divided into two categories:
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Algorithm for Structural Variant Detection
Structural variants (SVs) are the hidden architecture of the human genome, and are critical for us to understand diseases, evolution, and so on.
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PROACT
Modern society is connected through electronic and mobile devices, which we call the Internet of Things (IoT).
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Information Diffusion Analysis in Online Social Networks based on Deep Representation Learning
With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.
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From knowledge to business
The Leiden Institute of Advanced Computer Science (LIACS) aims on doing applied research with partners. You can be involved in our research, and in the knowledge transfer of our research results.
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Separating quantum and classical computing: rigorous proof and practical application
This thesis probes under what conditions quantum computing presents an advantage over classical computing.
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Contact
SAILS is a university wide initiative aimed at facilitating collaboration across disciplines on the use of Artificial Intelligence (AI).
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Interaction with sound for participatory systems and data sonification
This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.
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SAILS Lunch Time Seminar: Serban Vadineanu
Lecture
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Linking University, City and Diversity
This interdisciplinary project applies data science techniques to qualitatively and quantitatively visualize the interaction between the University and the city of Leiden (Town&Gown) from 1575 onwards. One of the possible angles for follow-up research is diversity, especially from the international…
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SAILS Lunch Time Seminar: Qinyu Chen
Lecture