Theses: Recent submissions
Now showing items 101-120 of 46483
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Human-Centric AI: Enhancing Recruitment Processes Through NLP and Visualization
(2025)The initial pre-screening phase of the hiring process is often inefficient and prone to bias due to the high volume of resumes that Human Resource (HR) professionals must manually review. While existing automated systems ... -
Mitigating racial bias across the AI life cycle in precision medicine using data science techniques
(2025)Precision medicine aims to tailor healthcare by incorporating data on a patients genomics, medical history, and lifestyle to develop personalized disease risk and treatment. The use of AI has become of increasing importance ... -
A Dual High-Throughput Approach to Enhance Drug Repurposing in Neuroblastoma: Boosting GD2 Expression and Reducing Immune Checkpoint Molecules
(2025)Neuroblastoma is the most common extracranial solid tumor in children, accounting for 8-10% of all pediatric cancers. Despite the increase in survival of high-risk neuroblastoma patients following the implementation of ... -
Hierarchical Multi-Resolution Graphs for Hyperlocal NO2 Mapping: An evaluation using Graph Neural Networks on Amsterdam Road Networks
(2025)Air pollution varies sharply at fine spatial scales, challenging traditional modeling approaches. This thesis evaluates whether Graph Neural Networks (GNNs) can improve prediction of long-term NO2 concentrations across ... -
Reducing Electricity Grid Congestion by Scheduling Electric Vehicle Charging in Medium- and Low-Voltage Grids.
(2025)Electricity grid congestion occurs at both the low- and medium-voltage levels, driven partly by the increasing adoption of electric vehicles (EVs). Upgrading low- and medium-voltage grid infrastructure is expected to take ... -
Exact-Exponential Time and FPT Algorithms for the Stable Marriage Problem and its variants
(2025)Stable matching problems, such as the Stable Roommates (SR) and Stable Marriage with Ties and Incomplete lists (SMTI), have numerous applications in economics and computer science. In this thesis, we provide a 2^O(n) time ... -
Analyzing Municipal Process Data from the Social Domain: A Process Mining-Based Approach
(2025)Municipalities deliver essential social services through complex processes that often suffer from inefficiencies and bottlenecks. Municipal information systems record detailed execution data on these processes. However, ... -
Towards a WebAssembly Backend for MicroHs
(2025)This thesis presents the design and implementation of a WasmGC backend for MicroHs, a lightweight Haskell compiler. The backend targets modern WebAssembly runtimes with native garbage collection support. Functional languages ... -
Safe In-Place Updates for ILP Fusion in Array Languages
(2025)Accelerate is a combinator based, parallel array programming language embedded in Haskell capable of targeting the CPU and GPU. To eliminate the overhead of intermediate arrays, Accelerate uses a fusion step to combine ... -
Assessing the ability of a stretched-grid deep learning weather prediction model to learn the physics of windstorm Poly
(2025)Weather forecasting has long relied on Numerical Weather Prediction (NWP) models, which simulate weather by solving the governing fluid equations. The recent emergence of global DeepLearning Weather Prediction (DLWP) models ... -
Local search for valued constraint satisfaction
(2025)Many combinatorial optimisation problems take the form of maximising a fitness func- tion subject to some valued constraints on a collection of variables, which we call a valued constraint satisfaction problem (VCSP). We ... -
Threat model learnability
(2025)This thesis examines the ways to evaluate the learnability of threat modelling methods. There currently exists no other research into this topic. Through a narrative review, we defined threat modelling learnability. We ... -
Spinning Success: Discovering Effective Strategies for University Spin-Off acquisition of public funding
(2025)Commercializing academic research, supporting innovation, and driving economic growth are key factors of university spin-offs. As the significance of these ventures continues to expand, the question arises: What is an ... -
Ground Level Propagation: A Novel Moving Object Segmentation Component to Process Ground in Multi-Level Structures
(2025)Moving Object Segmentation (MOS) in LiDAR point clouds is an essential component of autonomous driving and map cleaning applications. Existing ground segmentation algorithms - which are used as a foundational component of ... -
Informing Socially Appropriate Robot Behaviour under Data Distribution Shifts using Continual Learning
(2025)This thesis addresses the challenge of enabling robots to continuously assess the social appropriateness of their actions in dynamic, changing environments, a setting where conventional machine learning suffers from ... -
Comparing Eye-gaze and Transformer Attention Mechanisms in Reading Tasks
(2025)As transformers become increasingly prevalent in NLP research, evaluating their cognitive alignment with human language processing has become essential for validating them as models of human language. This study compares ...