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…

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

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

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

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.

Multi-Angle Dynamic Light Scattering (MADLS) is a technique that is used to determine properties of particles in suspension. The measurements give the hydrodynamic size distribution of individual particles as well as particle clusters, and assists in the interpretation of the stability of the particles…

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

We live in a world of things and people in the past must have been as closely entangled with their material surroundings as we are now. In the Laboratory for Artefact Studies Van Gijn takes a close look at the biographies of objects: what kind of raw material an object is made off and what is its provenience,…

Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)

For centuries astronomers studied the Universe by collecting light. Nowadays, we are living in times of great technological advancements, which allow us to explore our Universe in a new way - though gravitational wave radiation.

The impact of global connections and the formation of the Roman Empire (ca. 200-30 BC)

Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…

Promotie

In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

How do museum visitors interpret the authenticity of museum objects? How can we support visitors' meaningful interactions with real objects?

From October 2, ACPA alumnus and sound artist Budhaditya Chattopadhyay will exhibit his sound installation Expanded Object.

Lezing

The aim of this project is to foster a historiography that does justice both to the realization that scientific knowledge is constructed by local, contingent, and contextual processes, and the claims of science to objective validity.

The AAM-LR project aims at building a demonstrator of a web service that will help filed researchers to annotate audio- and video-recordings.

Why does the textural gap between the music that one can improvise and that which one can practice and learn to play (as in completely written-out music) seem to be bigger in the case of the guitar than, for example, in that of keyboard instruments?

This project investigates the globalization and cultural mediation of palliative care practices, policies and discourses.

On 11 November 2021, Evelien Campfens defended the thesis 'Cross-border Claims to Cultural Objects'. The doctoral research was supervised by Prof. N.J. Schrijver and Prof. W.J. Veraart (VU Amsterdam).

The material and intellectual presence of Egypt is at the heart of Western culture, religion and art from Antiquity to the present. This volume aims to provide a long term and interdisciplinary perspective on Egypt and its mnemohistory, taking theories on objects and their agency as its main point of…

The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.

Discovery and development of Central Nervous System (CNS) drugs is hampered by high attrition rates.

The Reinforcement Learning lab conducts research into Reinforcement Learning and Intelligent Combinatorial Algorithms.

This thesis discusses the constructions relevant to Object Shift from the intonational perspective, by presenting experimental data from all the Scandinavian languages.

Promotie

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The lack of success of new CNS drugs in clinical development is in part due to the complexity of the CNS, unexpected side effects, difficulties for drugs to penetrate the brain, but also by the lack of biomarkers.

The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.

This thesis investigates the syntax of object marking in Sambaa and the Bantu languages in general, with particular focus on Swahili and Haya, as points of comparison.

Actinobacteria are Gram-positive bacteria that have a complex multicellular life cycle and are well known for their ability to produce a wide range of bioactive natural products (NPs).

Lezing

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…

Green infrastrucuture (GI) like urban farm and green roofs could provide many beneficial functions in cities. These include for example food production, flood prevention or increasing biodiversity. MultiGreen project aims at developing an integrated modelling tool to support…

In this thesis, I study 1) metabolic alterations in tuberculosis related to wasting syndrome in human patients as well as in rodent and fish animal models. 2) effects of the mutation of the leptin gene on cachexia and diabetes in rodent and zebrafish animal models.

The 2022 Centre for Global Heritage and Development summer school will focus on contested cultural objects and the role of provenance research (ownership history).

What are the behaviours of plant traits throughout various points in the growing season in a radiative transfer model framework and how well can this knowledge be integrated through data assimilation to provide priors for robust local and global vegetation products and analysis?

Where in the model of contemporary art, which can be described as a hybrid and joint undertaking between artists, institutions, curators, theory and discursivity, is the actual 'object' of art located and generated? Where and by whom and in what configuration of positions is it produced? Who or what…

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.

Identifying the gaps in the legal framework for EU activities in the maritime security domain, and specifically in the areas of combating piracy, human smuggling or trafficking and drug trafficking.

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Lezing

Episode 1: The Golden Horde in a Global Perspective: Imperial Strategies. This project intends to challenge the conventional way of considering the nomadic state organizations and the role of Nomads in world history.

Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich

Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…