A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.

A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.

Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)

Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.

It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.

Optimality in plant properties and processing.

Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.

Promotor: Prof.dr. H.A.G. Wijshoff

Microneedle-based vaccination has several advantages over vaccination by using conventional hypodermic needles.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

The goal of hit and lead optimization is to optimize suitable chemical starting points that can modulate a drug target. The methods and technologies used are similar to those in Hit Discovery, but once the compound has shown activity in an animal model, it moves from 'hit' to 'lead.'

Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.

The better teaching is for pupils and students, the more solid the basis will be that we give them for their future careers. This type of teaching requires strong instructors and insight into the best ways in which pupils can be supported, and research at Leiden University is making a contribution in…

The currently available in vitro generated human skin equivalents resemble the human skin in many aspects. However, some essential barrier characteristics do not fully mimic the native barrier. Consequently, the human skin equivalents cannot be used for screening of drugs for skin penetration.

This thesis is based on five papers on several topics.

Development of scenarios for 2050 detailed in an IO framework

Life Sciences Artificial Intelligence Data Science

Online Convex Optimization for the Effective Curvature

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.

Lecture

Plants and their pollinators form complex interaction networks. Within these networks, species differ widely in the number of species they interact with.

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

Previous research has found important inter-individual differences in the pharmacokinetics (PK) of morphine in special populations such as children, the morbidly obese or the critically ill.

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…

Promotor: E.F.A. Deprettere, Co-Promotor: A.C.J. Kienhuis

Although exposure therapy is the gold-standard treatment of posttraumatic stress-disorder (PTSD), only half of the patients adequately benefit from it. Based on recent insights into the mechanisms of extinction, this project examines strategies and techniques to improve exposure treatment outcome in…

The 14th International Global Optimization Workshop (LeGO 2018) was hosted by Leiden University in September.

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…

This thesis focuses on addressing four research problems in designing embedded streaming systems.

PhD Defence

Promotores: A.P. IJzerman, H.W.T. van Vlijmen

Promotor: S.M. Verduyn Lunel

Bispecific antibodies with one Fab arm binding to effector cells, such as T-cells and NK-cells, while the other Fab arm recognizing a tumor associated antigen (TAA) can be used to redirect these effector cells for tumor specific killing. Using bispecific antibodies to treat hematological cancers is…

Promotor: Prof.dr. A. P. IJzerman, Co-Promotor: Dr. L.H. Heitman

Researchers at LED3 are working together with biopharmaceutical company Galapagos to develop software for use in early drug discovery (funded by NWO). This software is able to design molecules with several simultaneously optimized characteristics and will also take prediction reliability into consideration…

We aim to create an innovative e-learning and virtual reality training that helps healthcare providers to optimize placebo effects and minimizes nocebo effects via their communication.

Machine Learning is becoming a more and more substantial technology for industry.

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.

Lecture

PhD Defence

PBDL favors multidisciplinary research. Depending on the problems under investigation, PBDL establishes collaborations between experts from for example molecular genetics, molecular and electro cell physiology, biochemistry, organic chemistry, analytical mathematics, mathematical statistics and computational…

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 this dissertation several settings in the Online Learning framework are studied. The first chapter serves as an introduction to the relevant settings in Online Learning and in the subsequent chapters new results and insights are given for both full-information and bandit information settings.

Leiden Institute of Advanced Computer Science (LIACS)

On a structural level, the properties featured by a majority of mechanical metamaterials can be ascribed to the finite number of soft internal degrees-of freedom allowing for low-energy deformations.