552 zoekresultaten voor “algorithms decisions” in de Publieke website
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International Organisation
Het onderzoekscluster ‘International Organisation’ maakt deel uit van het onderzoeksprogramma ‘Institutions, Decisions and Collective Behaviour’. De onderzoekers in dit cluster bestuderen de oorsprong, opzet, effecten en competitie over de normen, regels, instituties en formele organisaties die grensoverschrijdend…
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Politics in the Netherlands
Binnen het onderzoeksprogramma ‘Institutions, Decisions and Collective Behaviour’ richt het onderzoekscluster ‘Politics in the Netherlands’ zich op de Nederlandse politiek. De onderzoekers bestuderen de opzet en het functioneren van de politieke instituties en kijken naar de attitudes en het gedrag…
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Natália KubalováFaculteit der Sociale Wetenschappen
n.kubalova@fsw.leidenuniv.nl | +31 71 527 2727
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Countering Jihadi Insurgencies in Africa: Repress, Resist & Reorder (COUNTERRR)
Hoe reageren de Afrikaanse landen Mali, Nigeria en Mozambique op gewapende jihadistische groeperingen in Afrika? Zien we verschillende patronen in repressie door de staat, weerstand van de gemeenschap en, in samenhang daarmee, de veiligheidssituatie in deze landen?
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Contact
Algemene contactinformatie
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615 miljoen voor quantumonderzoek
Het Quantum Delta NL-programma, waaraan de Universiteit Leiden deelneemt, krijgt 615 miljoen euro uit het Nationaal Groeifonds om Nederland te ontwikkelen tot een koploper in quantumtechnologie. Dit werd vandaag bekend gemaakt bij de presentatie van de winnende voorstellen in Den Haag.
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Joint Lectures on Evolutionary Algorithms - November 2023
Lezing
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Applications of topology to Weyl semimetals and quantum computing
This thesis covers various applications of topology in condensed matter physics and quantum information.
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On the optimization of imaging pipelines
In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…
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Automata learning: from probabilistic to quantum
This thesis advances automata learning, a key area in computer science, with applications in software verification, biological analysis, and autonomous technologies. It explores three main themes: first, it introduces a passive learning algorithm for generating compact probabilistic models from positive…
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Geometric quadratic Chabauty and other topics in number theory
This thesis is is made of three parts. The first part describes a generalization of the Chabauty's method, that can be used to determine the rational points of a curve such that s+g>r+1, where g is the genusof the curve, r is the rank of the Mordell-Weil group of the jacobian of the curve and s is…
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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Efficient tuning of automated machine learning pipelines
Automated Machine Learning (AutoML) is widely used to automatically build a suitable practical Machine Learning (ML) model for an arbitrary real-world problem, reducing the effort of practitioners in the ML development cycle for real-world applications. Optimization is a key part of a typical AutoML…
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Classical and paramagnetic NMR spectroscopy applied to different protein systems
Promotor: Prof.dr. M. Ubbink
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Anne StiggelboutFaculteit Geneeskunde
a.m.stiggelbout@lumc.nl | +31 71 526 4575
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PhD
Promotieonderzoek is veeleisend en belonend. Of het nu gaat om een stap in je academische carrière of om de laatste fase in je universitaire opleiding, promotieonderzoek vereist denkkracht, creativiteit en doorzettingsvermogen. Het Instituut Politieke Wetenschap biedt je een professionele en ondersteunende…
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Frank TakesWiskunde en Natuurwetenschappen
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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Onderzoek
Het Instituut Politieke Wetenschap heeft een zeer divers onderzoeksprogramma. Dit programma dient twee doelen: het bevorderen van de eenheid van het Instituut als een intellectuele gemeenschap van sociale wetenschappers en politicologen en om collega’s met overlappende interessegebieden in staat te…
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Grip on software: understanding development progress of SCRUM sprints and backlogs
Software development is a complex process. It is important that software products become stable and maintainable assets.
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CMLCA
CMLCA is a software tool that supports the technical steps of the Life Cycle Assessment. The focus of the program is on advanced computational aspects of life cycle inventory calculations.
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Environmental opportunities and challenges for IoT technologies in sustainable supply chain operations: from industries to products
IoT technology poses serval opportunities to supply chains. This thesis employs grey correlation and forecasting models, system dynamics, agent-based modeling, and ex-ante LCA to investigate and quantify the opportunities and risks of IoT-enabled sustainable supply chain operations from both industrial…
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Play by the rules? : coordination of EU sustainable development policies and the importance of the politico-legal context
There is an increasing amount of attention on EU and its Member States contributions to implementation of two landmark agreements: the Paris Climate Agreement and the UN Agenda 2030 with Sustainable Development Goals (SDGs). Absent from the current literature is an analysis of the political effect of…
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Babak Rezaeedaryakenari
Teaching the Future: AI-Enhanced Education for Student Engagement and Ethical Learning.
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Accountability and data-driven urban climate governance
The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.
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Publicaties
Publicaties die voortkomen uit het AFITE-project
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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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Automata-theoretic protocol programming
Promotor: F. Arbab
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The unit residue group
The unit residue group, to which the present thesis is devoted, is defined using the norm-residue symbol, which Hilbert introduced into algebraic number theory in 1897.
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Quantumcomputers
Algoritmen ontwerpen is een van de onderzoeksonderwerpen waar Leiden sterk in is. Want supercomputers moeten niet alleen gebouwd worden, maar ook geprogrammeerd. Wetenschappers van internationale faam doen hier onderzoek naar.
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Latency, Energy, and Schedulability of Real-Time Embedded Systems
Systems are called real-time systems, if the correctness of the system does not only depend on the correctness of the system output but also on whether the output is delivered on time.
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Faint Quasars at Very Low Frequencies
In this thesis, we use low-frequency and high-frequency radio observations to address the following questions regarding quasars: is the radio loud/quiet quasar dichotomy real?
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Novel approaches for direct exoplanet imaging: theory, simulations and experiments
The next generation of high-contrast imaging instruments on space-based observatories requires sophisticated wavefront sensing and control in addition to a high-performance coronagraph.
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Calculated Moves: Generating Air Combat Behaviour
By training with virtual opponents known as computer generated forces (CGFs), trainee fighter pilots can build the experience necessary for air combat operations, at a fraction of the cost of training with real aircraft.
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Chaotic dynamics in N-body systems
Promotor: Prof.dr. S.F. Portegies Zwart
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
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.
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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Casting light on the ƞ Carinae puzzle
Promotor: Prof.dr. V. Icke, Co-Promotor: T.I. Madura
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Multi Modal Representation Learning and Cross-Modal Semantic Matching
Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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Aria of the Dutch North Sea
Promotores: C. J. ten Cate; M. A. Ainslie. Co-promotor: W. Slabbekoorn
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Strategies for braiding and ground state preparation in digital quantum hardware
With the help of quantum mechanics, digital quantum hardware may be able to tackle some of the problems that are too difficult for ordinary computers. But despite these expectations and the ongoing effort of the research community, reliable quantum computers are not yet realized in a lab setting.
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Technology & Innovation
De onderzoeksgroep Business, Technology & Public Policy van de afdeling Bedrijfswetenschappen van Universiteit leiden houdt zich bezig met het onderzoeken van de dynamische wisselwerking tussen ‘nieuwe’ technologieën en de verschillende belanghebbenden die hiermee interacteren, waaronder consumenten,…
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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Strategies for Mechanical Metamaterial Design
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.
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
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…