930 search results for “optimal teaching” in the Public website
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Optimal Teaching
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…
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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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Optimality
Optimality in plant properties and processing.
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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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Optimization of quantum algorithms for near-term quantum computers
This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.
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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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A versatile tuple-based optimization framework
Promotor: Prof.dr. H.A.G. Wijshoff
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Benchmarking Discrete Optimization Heuristics
This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.
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Parameter optimization toward optimal microneedle-based dermal vaccination
Microneedle-based vaccination has several advantages over vaccination by using conventional hypodermic needles.
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Data Driven Modeling & Optimization of Industrial Processes
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.
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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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Hit and Lead Optimization
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.'
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Stochastic and Deterministic Algorithms for Continuous Black-Box Optimization
Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.
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Multicriteria Optimization and Decision Analysis
The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.
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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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Human skin equivalent barrier optimization
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.
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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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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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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
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CECILIA2050 - Optimal EU climate policy
Development of scenarios for 2050 detailed in an IO framework
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Advances in Survival Analysis and Optimal Scaling Methods
This thesis is based on five papers on several topics.
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Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
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Multi-objective Evolutionary Algorithms for Optimal Scheduling
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…
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Online Convex Optimization for the Effective Curvature (EFFECT)
Online Convex Optimization for the Effective Curvature
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Quantitative pharmacological modelling for optimizing treatment of sepsis
Sepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global healthcare systems. Bacterial infections are the primary cause of sepsis, but the growing prevalence of antimicrobial…
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The optimization and scale-up of the electrochemical reduction of CO₂ to formate
Carbon dioxide capture and utilization technologies are necessary to create a truly circular economy. The electrochemical reduction of carbon dioxide to formate is an appealing carbon utilization method as it can be performed at room temperature and pressure, it only requires two electrons, and it has…
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Optimizing antifungal treatment through pharmacometrics: dosing considerations to enhance outcome
Fungal infections pose a significant threat to individuals with compromised immune systems and despite advancements in diagnosis and treatment, they continue to jeopardize patient’s health.
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SAPPAO - Optimizing the flight times of airplanes using data science
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'.
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Beyond random and forbidden interactions : how optimizing energy gain results in morphological matching among subalpine Asteraceae and their
Plants and their pollinators form complex interaction networks. Within these networks, species differ widely in the number of species they interact with.
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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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Systems pharmacology-based optimization of postoperative morphine treatment
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.
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Estimation and Optimization of the Performance of Polyhedral Process Networks
Promotor: E.F.A. Deprettere, Co-Promotor: A.C.J. Kienhuis
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Optimal decision-making under constraints and uncertainty
We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry.
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OPENup: Optimizing exposure therapy for Posttraumatic Stress disorder
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…
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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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Generalized Strictly Periodic Scheduling Analysis, Resource Optimization, and Implementation of Adaptive Streaming Applications
This thesis focuses on addressing four research problems in designing embedded streaming systems.
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Redefining our vision on teaching and learning
In a rapidly changing world it is crucial that our teaching keeps pace with the dynamics of society.
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Optimization of Patient Flow through EMT Facilities Applying Dynamic Behavioral Simulation Models
This study aims to explore the use of a behavioral-design-based approach in simulating patient flow through EMTs. It provides a dynamic behavioral simulation model to assess the interactions between patients, staff members, and the related dynamic movements/interactions with the health care facility,…
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Teaching
As part of your assignment you are required to contribute to teaching in the Bachelor and the Master programs in Bio-Pharmaceutical Sciences of Leiden University. You will supervise Bachelor and Master students during the research projects of the students in the laboratory.
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Roeland van der Rijst
ICLON
rrijst@iclon.leidenuniv.nl | +31 71 527 6496
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Dual-Appointment PhD Candidate and Junior System Administrator, Software Optimization and Compiler
Science, Leiden Institute of Advanced Computer Science (LIACS)
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Teaching
Members of BLRN provide a wide range of teaching on all matters of business law. The teaching ranges from courses in the Leiden Law School’s bachelor programme, including the International Business Law programme, the master programme on Company Law and the advanced master in International Civil and…
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Teaching
The Department of Civil Law teaches and conducts research in the field of civil law. It is responsible for the master’s degree programme Civiel Recht (Civil Law LL.M.) which attracts many students each year from Leiden and elsewhere.
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Distance-based analysis of dynamical systems and time series by optimal transport
Promotor: S.M. Verduyn Lunel
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Clavis Aurea? Structure-enabled approaches of identifying and optimizing GPCR ligands
Promotores: A.P. IJzerman, H.W.T. van Vlijmen
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Teaching
Teaching in The Hague is firmly based on research. Alongside bachelor’s and master’s programmes, the University provides school children, professionals and others with an interest the opportunity to develop.
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Teaching
Our Centre’s teaching is concentrated in the MSc Governance of Sustainability, which is a transdisciplinary master program hosted in collaboration with the Institute of Environmental Sciences. We aim to educate future change makers who have the knowledge and the skills to develop governance solutions…
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Teaching
Disseminating to the future generation of researchers the multidisciplinary working practices, expertise and scientific view that has been developed in research within the Plant BioDynamics Lab over the past years is an important objective in our collaborative efforts. The research papers of PBDL bring…
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A culture medium based approach to optimize the stratum corneum barrier of human skin equivalents
uman skin equivalents (HSEs) are in vitro 3D-skin models that mimic many aspects of the native human skin (NHS) and can be a valuable tool.
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ZonMw – Optimizing the responsible researcher: towards fair and constructive academic advancement
Researchers are pulled in various, sometimes contradictory directions by the multiplication of performance metrics and new incentives to align with societal needs. Management structures, funding systems, and publication practices are increasingly influenced by pressures to promote only the highest quality…