PhD Theses
List of PhD theses supported by and/or related to the Flanders AI Research Program.
Ally Stijn, Reinforcement-learning-based power trading and control for wind farms and hybrid renewable energy plants, Promotor: Ann Nowé, Jan Helsen, VUB, 2026.
Cardoen Thorsten, From Pixels to Behaviour: Towards Automated Broiler Welfare Assessment through Computer Vision, Promotor: Pieter Simoens, Sam Leroux, UGent, 2026.
Dasoulas Ioannis, Knowledge Graphs for Machine Learning, Promotor: Anastasia Dimou, KU Leuven, 2026.
de Tinguy Daria, Navigating through Inference: Scalable Autonomous Navigation with Cognitive Maps and World Models, Promotor: Bart Dhoedt, Tim Verbelen, UGent, 2026.
Defrance Marybeth, Towards Better Evaluation and Understanding of Group Fairness in AI, Promotor: Tijl De Bie, Jefrey Lijffijt, UGent, 2026.
Ferraro Stefano, Structured World Models for Embodied Intelligence, Promotor: Bart dhoedt, Tim Verbelen, UGent, 2026.
Fonteyn Karel, Context-Aware Deep Learning for Biomedical Time Series Analysis, Promotor: Dirk Deschrijver, Tom Dhaene, UGent, 2026.
Friesacher Rosa, Uncertainty Quantification for Trustworthy Drug-Target Interaction Predictions, Promotor: Yves Moreau, Ádám Arany, Ola Engkvist, KU Leuven, 2026.
Heiter Edith, Navigating Imperfect Representations: Evaluating, Interpreting, and Refining Low-Dimensional Embeddings, Promotor: Jefrey Lijffijt, Tijl De Bie, UGent, 2026.
Hinns James, Human-Centred Approaches for Generating and Evaluating Explainable AI Across Modalities, Promotor: David Martens, Sofie Goethals, UAntwerpen, 2026.
Janssens Ruben, Visually Grounded Adaptive Social Dialogue for Robots, Promotor: Tony Belpaeme, Thomas Demeester, UGent, 2026.
Kok Thomas, Interpretable Machine Learning for Motor Evoked Potentials and Respiratory Time Series Data, Promotor: Sofie van Hoecke, Dirk Deschrijver, UGent, 2026.
Li Nan, Understanding, Structuring, and Fairly Allocating Consequential Resources in High-Stakes Information Retrieval, Promotor: Tijl De Bie, Jefrey Lijffijt, UGent, 2026.
Pollaris Lotte, From pixels to biology : a flexible workflow for spatial transcriptomics analysis, Promotor: Yvan Saeys, Ruth Seurinck, UGent, 2026.
Rabaey Paloma, Augmenting Bayesian Networks with Textual Evidence for ExpertBased, Uncertainty-Aware Clinical Decision Support, Promotor: Thomas Demeester, Stefan Heytens, UGent, 2026.
Röpke Willem, Thinking in Trade-offs: training agents to balance conflicting objectives under uncertainty, Promotor: Ann Nowé, Roxana Rădulescu, Diederik M. Roijers, VUB, 2026.
Soete Colin, Fault detection and process monitoring on Industry 4.0 production lines using time series analysis, Promotor: Sofie Van Hoecke, Bruno Volckaert, UGent, 2026.
Taets Jeroen, Learning-Based Approaches for Tuning of Mechatronic Systems: From Human-in-the-Loop to Autonomous Physics-Informed Approaches, Promotor: Guillaume Crevecoeur, Tom Lefebvre, UGent, 2026.
Van Soom Marnix, Bayesian Nonparametric Glottal Inverse Filtering, Promotor: Bart de Boer, VUB, 2026.
Vercheval Nicolas, Variational Autoencoders for Shape Synthesis and Counterfactual Explanation, Promotor: Aleksandra Pizurica, Hendrik De Bie, UGent, 2026.
Avila Campos Pablo Esteban, Time-Sensitive Networking without Wires: Deterministic Communication over Wi-Fi, Promotor: Jeroen Hoebeke, Ingrid Moerman, UGent, 2025.
Bagot Louis, Transfer and Zero-shot Reinforcement Learning: Learning Behaviors Without a Reward Function, Promotor: Kevin Mets, Steven Latré, UAntwerpen, 2025.
Balemans Dieter, Knowledge-Guided Adaptive Neural Network Pruning using Reinforcement Learning and Explainable AI, Promotor: Siegfried Mercelis, Jan Steckel, UAntwerpen, 2025.
Balemans Niels, Robust and Adaptive Perception for Autonomous Vehicles: A Framework for Fusing Radar and Sonar with LiDAR-based Systems, Promotor: Siegfried Mercelis, Jan Steckel, UAntwerpen, 2025.
Billast Mattias, Domain adaptation for applications in computer vision with limited data, Promotor: Kevin Mets, UAntwerpen, 2025.
Bleukx Ignace, Towards Efficient and User-oriented Explanations for Constraint Solving, Promotor: Mattias Guns, KU Leuven, 2025.
Bransen Lotte , Beyond the Scoreline: Using Machine Learning Techniques to Understand (Women's) Soccer, Promotor: Jesse Davis, KU Leuven, 2025.
Callewaert Benjamin, The Knowledge Base Paradigm gets a corporate job, Promotor: Joost Vennekens, KU Leuven, 2025.
Coppens Ine, I Like the Way I Move: Personalizing Recommendations to Motivate Daily Physical Activity, Promotor: Luc Martens, Toon De Pessemier, UGent, 2025.
Daems Rembert, Learning from Video in Continuous Time Using Physics Priors and Fractional Noise, Promotor: Guillaume Crevecoeur, Francis wyffels (IDLab - AIRO/ UGent), Tolga Birdal (Imperial College London), UGent, 2025.
Damiano Stefano, Data-Efficient Machine Learning for the Analysis of Dynamic Acoustic Scenes, Promotor: Toon van Waterschoot, André Guntoro, KU Leuven, 2025.
Deconinck Louise, On interoperability and trajectory analysis of single-cell transcriptomics data, Promotor: Yvan Saeys, Ruth Seurinck, UGent, 2025.
Decorte Thomas, Modern Tools for Cost-Sensitivity, Imputation, and Causal Inference, Promotor: Tim Verdonck, UAntwerpen, 2025.
De Smet Lennert, Unifying and Scaling Neurosymbolic AI: From Abstraction to Application, Promotor: Luc De Raedt, Pedro Zuidberg dos Martir, KU Leuven, 2025.
Devos Laurens, Verification and Reasoning for Decision Tree Ensembles, Promotor: Jesse Davis, KU Leuven, 2025.
Marković Dorde, Knowledge Representation With Partial Functions and Intensional Concepts: Theory and Applications; Kennisrepresentatie met partiële functies en intensie concepten: theorie en toepassingen, Promotor: Marc Denecker, KU Leuven, 2025.
Geubbelmans Melvin, From Whole Slide Imaging Optimization to Nuclei Segmentation: Computational Approaches for Non-Small Cell Lung Cancer Analysis, Promotor: Dirk Valkenborg, UHasselt, 2025.
Ghane Sara, Reinforcement learning-based control for collective heating systems, Promotor: Siegfried Mercelis, Ivan Verhaert, UAntwerpen, 2025.
Heintz Nicolas, Fast and Adaptive Auditory Attention Decoding with application in neurosteered hearing devices; Snelle en adaptieve auditieve aandachtsdecodering met toepassing in hersengestuurde hoorapparaten, Promotor: Alexander Bertrand, Tom Francart, KU Leuven, 2025.
Ismaeil Youmna Salah Mahmoud, Harnessing Knowledge Graphs for Explainable AI; Het benutten van kennisgrafen voor verklaarbare kunstmatige intelligentie, Promotor: Hendrik Blockeel, Trung Kien Tran, Daria Stepanova, KU Leuven, 2025.
Janssens Iris, Innovative data-driven approaches for environmental sciences, Promotor: Tim Verdonck, Steven Latré, UAntwerpen, 2025.
Justus Rajappa Anuj, Reliable and efficient low-power edge AI with application to atmospheric and space radiation, Promotor: Siegfried Mercelis, Jeroen Famaey, UAntwerpen, 2025.
Kholkine Leonid, Cook, Code, Conquer: Machine Learning Applications in Food Recommendation and Sports, Promotor: Tim Verdonck, UAntwerpen, 2025.
Konstantinos Kontras, Multimodal fusion, Promotor: Maarten De Vos, Christos Chatzichrisos, KU Leuven, 2025.
Labat Sofie, Affective threads : data-driven modeling of emotional processes in social interaction, Promotor: Veronique Hoste (LT3), Thomas Demeester (IDLab), UGent, 2025.
Liu Gaoyuan, Hybrid Solutions for Behavior Planning in Robotic Manipulation, Promotor: Bram Vanderborght, Ann Nowé, VUB, 2025.
Meire Maarten, Acoustics based condition monitoring of industrial machines using deep learning, Promotor: Peter Karsmakers, KU Leuven, 2025.
Michiels Joran, Towards Meaningful Post-Hoc Explanations for End-Users of Predictive Models, Promotor: Maarten De Vos, Johan Suykens, KU Leuven, 2025.
Parciak Marcel, Accelerating Open Data Integration of Real-World Health Data Silos, Promotor: Stijn Vansummeren, UHasselt, 2025.
Perez Sanjines Fabian, Methods Merging Artificial Intelligence and Signal Processing for Enhanced Vibration Based Fault Detection in Wind Turbines, Promotor: Ann Nowé, Jan Helsen, VUB, 2025.
Popordanoska Teodora, Advancing Calibration in Deep Learning: Theory, Methods, and Applications, Promotor: Matthew Blaschko, KU Leuven, 2025.
Poncelet Jakob, Robust Automatic Speech Recognition and Understanding with Weak or Limited Supervision / Robuuste Automatische Spraakherkenning en Gesproken Taalbegrip met Zwakke of Beperkte Supervisie, Promotor: Hugo Van hamme, KU Leuven, 2025.
Qi Jinzi, Addressing Data Scarcity and Variability for Dysarthric Speech Recognition and Understanding; Het aanpakken van dataschaarste en -variabiliteit voor dysartrische spraakherkenning en -begrip, Promotor: Hugo Van hamme, KU Leuven, 2025.
Rinaldi Giulia, A Framework for Designing Decision Support Systems to Generate Artificial Intelligence Pipelines, Promotor: Bart De Moor, KU Leuven, 2025.
Robberechts Pieter, Making intangibles actionable: Machine learning for modeling the elusive aspects of performance in sports, Promotor: Jesse Davis, KU Leuven, 2025.
Rombaut Benjamin, Expert-guided analysis of spatial omics data, Promotor: Yvan Saeys, Ruth Seurinck, UGent, 2025.
Rosseel Hannes, Spatial recording, processing, and auralization of historical worship space acoustics, Promotor: Toon van Waterschoot, KU Leuven, 2025.
Smets Laura, Classification with Binary HyperDimensional Computing, Promotor: Steven Latré, UAntwerpen, 2025.
Sun Pengfei, Incorporating Temporal Delays in Neural Networks for Enhanced Dynamic and Learning Performance in Time-Sensitive Tasks, Promotor: Dick Botteldooren, Paul Devos, UGent, 2025.
Tefera Yonas Yehualaeshet, Data-Driven Health Assessment and Prognostics of Assets with Limited Data, Promotor: Peter Karsmakers, Stijn Luca, Woldegebreal Dereje H., KU Leuven, 2025.
Tchuitcheu Willy Carlos, Representation Learning for Table Understanding in Intelligent Document Processing, Promotor: Ann Dooms, VUB, 2025.
Theunissen Lauren, Addressing uncertainty in automatic cell type annotation of single-cell transcriptomics data, Promotor: Willem Waegeman (BIOML), Yvan Saeys (DAMBI), UGent, 2025.
Upadhyaya Sreenivasa, Towards Developing Robust Sound-Based Monitoring Systems for Livestock Facilities under Varying Acoustic Conditions, Promotor: Peter Karsmakers, Wim Desmet, Wim Buyens, KU Leuven, 2025.
Valkiers Sebastiaan, Decoding the T cell receptor landscape in multiple sclerosis through sequence clustering and neighbor enrichment analysis, Promotor: Kris Laukens, Pieter Meysman, Nathalie Cools, UAntwerpen, 2025.
Van Roy Maaike, Soccer Through the Lens of Artificial Intelligence: Analyzing Actions and Tactics by Learning and Reasoning, Promotor: David Jesse, KU Leuven, 2025.
Van Baelen Quinten, Deep Learning Guided by Domain Inspired Constraints, Promotor: Karsmakers Peter, KU Leuven, 2025.
Vanbesien Linde, Algebraic Formalizations of Constructive Knowledge, Promotor: Marc Denecker, Bart Bogaerts, KU Leuven, 2025.
Van Daele Dries, Toepassingen van Relationele en Probabilistische Logica, Promotor: Luc De Raedt, Wannes Meert, Kathleen Marchal, KU Leuven, 2025.
Van der Plas Dries, Trustworthy Machine Learning Methods for the Analysis of Polysomnographies, Promotor: Jesse Davis, Johan Verbraecken, Wannes Meert, KU Leuven, 2025.
Venturato Gabriele, Relational Neurosymbolic Sequential Reasoning, Promotor: Luc De Raedt, KU Leuven, 2025.
During the opening plenary of the Flanders AI Research Day 2025, Gabriele Venturato (KU Leuven - DTAI), gives a pitch on "Next-event prediction in soccer with neurosymbolic AI".
Vercoutere Stefaan, Diversity by Design, an Exploration of News Recommender Systems and Algorithmic Nudging, Promotor: Luc Martens, Toon De Pessemier, UGent, 2025.
Verreet Victor, Probabilistic Logic for Learning and Reasoning, Promotor: Luc De raedt, KU Leuven, 2025.
Wang Wei-Cheng, Transferable and Privacy-Friendly Deep Learning Techniques for Audio-Visual Urban Surveillance: From Lab to Street, Promotor: Pieter Simoens, Bart Dhoedt, UGent, 2025.
Wang Zifu, On Neural Architectures, Loss Functions, Evaluation Metrics for Semantic Segmentation; Over neurale architecturen, verliesfuncties en evaluatiemetrieken voor semantische segmentatie, Promotor: Matthew Blaschko, KU Leuven, 2025.
Wauthier Samuel, Model Reduction in Deep Active Inference, Promotor: Bart Dhoedt, Tim Verbelen, Bram vanhecke, UGent, 2025.
Widdershoven Raphaël, Fast and Robust Methods for Noisy Overdetermined Systems of Multivariate Polynomial Equations / Snelle en robuuste methodes voor overgedetermineerde stelsels multivariate veeltermvergelijkingen met ruis, Promotor: Lieven De Lathauwer, KU Leuven, 2025.
Willekens Axel, A Robot Taskmap Operation Framework to Support Precision Crop Farming, Promotor: Francis Wyffels, Simon Cool, Jan Pieters, UGent, 2025.
Abels Axel, Resolving knowledge limitations for improved collective intelligence, Promotor Ann Nowé, Tom Lenaerts, VUB, 2024.
Botman Lola, Time series forecasting: applications in low voltage grid operations, Promotor Bart De Moor, KU Leuven, 2024.
Carbonnelle Pierre, Standard, Interactive and Lifted Model Expansions Using FO(.), Promotor Marc Denecker & Gerda Janssens, KU Leuven, 2024.
Chesterman Xavier, Condition monitoring and failure diagnosis for wind turbines in the context of rare failing and slowly progressing damage, Promotor Ann Nowé, Jan Helsen, VUB, 2024.
Chen Yiming, Communication-Efficient and Privacy-Preserving Decentralized Training of Deep Learning Methods, Promotor Nikos Deligiannis, VUB, 2024.
Couckuyt Artuur, Optimizing computational cytometry tools for clinical applications, Promotor Yvan Saeys, Tessa Kerre (UZGent), UGent, 2024.
De Bruyn Maxime, Studies in Conversational AI: Multilingual Capabilities, World Knowledge, and Evaluation Strategies, Promotor Walter Daelemans, UAntwerpen, 2024.
Dedja Klest, Supporting adoption of AI in Survival Analysis, with the use of Explainable AI techniques and Active Learning, Promotor Celine Vens, KU Leuven, 2024.
Dekker Peter, Identifying drivers of language change using agent-based models, Promotor Bart de Boer, VUB, 2024.
Delgrange Florent, Activating Formal Verification of Deep Reinforcement Learning Policies by Model Checking Bisimilar Latent Space Models, Promotor Ann Nowé, VUB, 2024.
De Meumeester Hannes, Unsupervised Representation Learning and Health Insurance Anomaly Detection;, Promotor Bart De Moor, KU Leuven, 2024.
Dens Ceder, Artificial intelligence to decode the peptide sequences driving the immune response, Promotor Kris Laukens, UAntwerpen, 2024.
Dewolf Nicolas, A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning, Promotor Bernard De Baets, Willem Waegeman, UGent, 2024.
Gevaert Arne, Unifying attribution-based explanation methods in machine learning, Promotor Yvan Saeys, Tijl De Bie, UGent, 2024.
Hou Yuanbo, Machinaal luisteren bevorderen: akoestische scènes en gebeurtenissen en de emoties die ze oproepen, begrijpen, Promotor Dick Botteldooren, Sarah Verhulst, UGent, 2024.
Jakubowski Maxime, Shapes constraint language: formalization, expressiveness, and provenance, Promotor Bart Bogaerts, Jan Van den Bussche, VUB, UHasselt, 2024.
Jiang Yiwei, Towards grounded and robust task-oriented dialogue systems, Promotor Chris Develder, Thomas Demeester, UGent, 2024.
Lee Wei-Yu, Multimodal Sensor Fusion for Vulnerable Road User Detection, Promotor Wilfried Philips, Ljubomir Jovanov, UGent, 2024.
Lenders Daphne, A Targeted Approach Against Discrimination - New Methods for Bias Detection and Mitigation in Automated Decision Making Systems, Promotor Toon Calders, UAntwerpen, 2024.
Lotfi Ehsan, Stay Grounded: Incorporating Knowledge in Open-Domain Dialogue, Promotor Walter Daelemans, UAntwerpen, 2024.
Mashayekhi Yoosof, Challenges in E-Recruitment Systems: Algorithms to Restore Balance in Competitive Markets, Promotor Tijl De Bie, Jefrey Lijffijt, UGent, 2024.
Mazzaglia Pietro, Efficient learning strategies for embodied intelligence, Promotor Bart Dhoedt, Tim Verbelen, UGent, 2024.
Meeus Quentin, From Speech to Semantics: Adapting Pretrained Transformers for Low Resource Spoken Language Understanding, Promotor Marie-Francine Moens/Hugo Van hamme, KU Leuven, 2024.
Michiels Lien, Methodologies to Evaluate Recommender Systems, Promotor Bart Goethals, UAntwerpen, 2024.
Mingxiao Li, Leveraging External Knowledge in Deep Learning and Conditional Generative Models, Promotor Marie-Francine Moens/Katrien Verbert, KU Leuven, 2024.
Montero Eladio, Analysing Strategies and Decision-Making Processes in Social Dilemmas: Insights from Social Preferences, Promotor Tom Lenaerts, VUB, 2024.
Mulamba Maxime, From Prediction to Solution: Enhancing Constraint Solvers with Machine Learning for Perceptual Decision-Making Problems, Promotor Vincent Ginis, Tias Guns, VUB, 2024.
Picron Cédric, Designing High-Performing Networks for Multi-Scale Computer Vision, Promotor Tinne Tuytelaars, KU Leuven, 2024.
Pirmani Ashkan, From Centralized to Federated: The Journey of Data in Healthcare, Promotor Yves Moreau, KU Leuven, 2024.
Pirmani Ashkan, Federated artificial intelligence for multiple sclerosis patient trajectories in a real-world setting, Promotor Liesbet Peeters, UHasselt, 2024.
Radevski Gorjan, Bridging Modalities and Transferring Knowledge: Enhanced Multimodal Understanding and Recognition, Promotor Marie-Francine Moens/Tinne Tuytelaars, KU Leuven, 2024.
Romero Raphaël, Modeling Weighted and Temporal Graphs: Methods and Evaluation, Promotor Tijl De Bie, Jefrey Lijffijt, UGent, 2024.
Rousseau Axel-Jan, Trustworthy Artificial Intelligence Methods for Image Analysis and Benchmarking of Neural Network Interpretability, Promotor Dirk Valkenborg, UHasselt, 2024.
Scott Kristen, Understanding Biased Representations of People in Algorithmic Decision Making, Promotor Bettina Berendt, KU Leuven, 2024.
Seeuws Nick, Detection of disturbances and events in biomedical signals with deep learning, Promotor Alexander Bertrand & Maarten De Vos, KU Leuven, 2024.
Theodorakos Konstantinos, Time Series Analysis and Modeling in Data Science Application Areas, Promotor Bart De Moor, KU Leuven, 2024.
Tokpo Ewoenam Kwaku, Assessing and Mitigating Bias in Natural Language Systems, Promotor Toon Calders, UAntwerpen, 2024.
Vander Mijnsbrugge David, Context Aware Deep Learning for Predictive Healthcare, Promotor Sofie Van Hoecke, Femke Ongenae, UGent, 2024.
Van Den Bulcke Laure, Optimizing DNA metabarcoding and machine learning for advanced impact assessments in the North Sea: a case study on sand extraction, Promotor Willem Waegeman, UGent, 2024.
Vandewinckele Liesbeth, Direct prediction of radiotherapy treatment plans using deep learning; Het direct voorspellen van radiotherapie behandelingsplannen m.b.v. deep learning, Promotor Wouter Crijns, Frederik Maes, Maarten Lambrecht, KU Leuven, 2024.
Vandevelde Simon, Simplifying Knowledge Base Creation for Domain Experts, Promotor Joost Vennekens, KU Leuven, 2024.
Van de Maele Toon, Active Inference for Scene Understanding, Promotor Bart Dhoedt, Tim Verbelen, UGent, 2024.
Wamba Momo Lyse Naomi, Length of Stay Prediction for Hospital Management, Promotor Bart De Moor, KU Leuven, 2024.
Wan Bo, Exploring Structural Representations in Vision and Language; Verkennen van structurele representaties in beeld en tekstdocumenten, Promotor Tinne Tuytelaars, KU Leuven, 2024.
Wolfert Andries Pieter, Co-speech gestures: evaluation and generation., Promotor Tony Belpaeme, Francis Wyffels, UGent, 2024.
Yang Xiangyu, Leveraging Deep Learning Models for Big Data Analytics, Promotor Nikos Deligiannis, VUB, 2024.
Yang Yuqing, Crafting Effective Visual Explanations by Attributing the Impact of Datasets, Architectures and Data Compression Techniques, Promotor Nikos Deligiannis, VUB, 2024.
Zhenxiang Cao, Change Point Detection based on Time-invariant Modeling of Time Series, Promotor Alexander Bertrand & Maarten De Vos, KU Leuven, 2024.
Zhu Junyi, Privacy-Preserving and Distributed Machine Learning, Promotor Matthew Blaschko, KU Leuven, 2024.
Ashtari Pooya, Brain Lesion Segmentation and Detection on Multi-parametric MRI Data: Marrying Deep Learning with Low-rank Factorization, Promotor Sabine Van Huffel, Dominique Sappey-Marinier, Frederik Maes, KU Leuven, 2023.
Bhavanasi Geethika, Machine learning with radar sensors for smart healthcare, Promotor Tom Dhaene, Ivo Couckuyt, UGent, 2023.
Brughmans Dieter, Counterfactual explanations for real-world applications, Promotor David Martens, UAntwerpen, 2023.
Buyl Maarten, Fairness Regularization in Machine Learning: Methods and Limitations, Promotor Tijl De Bie, Jefrey Lijffijt, UGent, 2023.
Convens Bryan, Certified safe real-time control of cooperative aerial robot systems with Explicit Reference Governors, Promotor Bram Vanderborght, VUB, 2023.
De Brouwer Edward, Machine Learning for Patient Trajectories, Promotor Yves Moreau, KU Leuven, 2023.
Delobelle Pieter, Towards Fairer Foundation Models: On Measures and Mitigation Strategies - Eerlijkere foundation modellen: over metrieken en mitigatiestrategieën, Promotor Luc De Raedt, Bettina Berendt, KU Leuven, 2023.
De Wel Bram, Towards trial readiness in hereditary neuromuscular diseases, Promotor Claeys K., Maes F., Dupont P., Poesen K. , KU Leuven, 2023.
Dewulf Pieter, Exploiting data compositionality using tensor products and hyperdimensional computing, Promotor Bernard De Baets, Michiel Stock, UGent, 2023.
Dimitrievski Martin, Cooperative Sensor Fusion for Autonomous Driving, Promotor Wilfried Philips, Peter Veelaert, UGent, 2023.
Eelbode Tom, Automated Data-driven Online Detection and Characterization of Endoscopic Lesions using Deep Learning, Promotor Maes F., Bisschops R. , KU Leuven, 2023.
Garbuglia Federico, Bayesian Active Learning for Modeling and Optimization of Microwave Devices, Promotor Tom Dhaene, Dirk Deschrijver, UGent, 2023.
Goetschalckx Koen, Optimizing Embedded Vision Efficiency across the Hardware-dataflow-algorithm Stack, Promotor Marian Verhelst, KU Leuven, 2023.
Hadifar Amir, Towards efficient NLP models : strategies for improving data selection, training, and inference, Promotor Chris Develder (IDLab UGent), Thomas Demeester (IDLab, UGent) and Veronique Hoste (LT3, UGent), UGent, 2023.
Hermans Tim, Improving robustness and reliability in neonatal brain monitoring, Promotor Sabine Van Huffel, Maarten De Vos, Gunnar Naulaers, Silvia Comani, KU Leuven, 2023.
Hutsebaut-Buysse Matthias, Learning to navigate through abstraction and adaptation, Promotor Steven Latré, UAntwerpen, 2023.
Iliadis Dimitrios, Automated multi-target prediction with two-branch neural networks, Promotor Bernard De Baets, Willem Waegeman, UGent, 2023.
Jain Vikram, Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning: Journey from Single-core acceleration to Multi-core Heterogeneous Systems, Promotor Marian Verhelst, Peter Karsmakers, KU Leuven, 2023.
Liu Chenyu, Condition Monitoring of Rolling Element Bearings based on Artificial Intelligence: from Kernel Methods to Simulation-based Transfer Learning, Promotor Konstantinos Gryllias, KU Leuven, 2023.
Mara Alexandru Cristian, Accelerating Progress in Network Representation Learning: Systematic Evaluations and New Approaches, Promotor Tijl De Bie, Jefrey Lijffijt, UGent, 2023.
Mazzine Barbosa De Oliveira Raphael, Novel Algorithms and applications for Counterfactual Explanations, Promotor David Martens, UAntwerpen, 2023.
Mei Linyan, Design Space Exploration of Deep Learning Accelerators, Promotor Marian Verhelst, KU Leuven, 2023.
Morales Hernandez Alejandro, Essays on Machine Learning: Advances in Forecasting and Optimization, Promotor Inneke Van Nieuwenhuyse, Koenraad Vanhoof, UHasselt, 2023.
Mortier Thomas, Efficient algorithms for set-valued prediction in classification, Promotor Willem Waegeman (UGent) and Krzysztof Dembczyński (UT Poznan), UGent, 2023.
Nasrulloh Ratu Bagus Satrio Loka, Bayesian Optimization for Engineering Design and Process Optimization, Promotor Tom Dhaene (UGent), Ivo Couckuyt (UGent), Inneke Van Nieuwenhuyse (UHasselt), UGent, 2023.
Peck Jonathan, Improving the Robustness of Deep Neural Networks to Adversarial Perturbations, Promotor Yvan Saeys (DAMBI), Bart Goossens (IPI), UGent, 2023.
Qing Jixiang, Bayesian Active Learning for Engineering Design and Optimization under Uncertainty, Promotor Tom Dhaene, Ivo Couckuyt, UGent, 2023.
Reymond Mathieu, On incorporating prior knowledge about the decision maker in multi-objective reinforcement learning, Promotor Ann Nowé, VUB, 2023.
Shah Nimish Shirishbai, Embedded Execution of Irregular Dataflow Graphs: Hardware/Software Co-optimization for Probabilistic AI and Sparse Triangular Systems, Promotor Marian Verhelst, KU Leuven, 2023.
Soenen Jonas, Semi-Supervised and Explainable Machine Learning with an Application to the Low-Voltage Grid, Promotor , KU Leuven, 2023.
Staessens Tom, Bringing Reinforcement Learning to Real-World Mechatronic Systems: A Hybrid Learning Control Approach, Promotor Guillaume Crevecoeur, Tom Lefebvre, UGent, 2023.
Totis Pietro, Declarative Modelling and Reasoning for Combinatorial Problem Solving and Argumentation under Uncertainty, Promotor Luc De Raedt, KU Leuven, 2023.
Verheyen Lara, Procedural Semantics for Human-like Language Understanding in Situated Environments, Promotor Paul Van Eecke, Katrien Beuls, VUB, 2023.
Verelst Thomas, Spatially Adaptive Neural Networks for Computer Vision, Promotor Tinne Tuytelaars, KU Leuven, 2023.
Werthen-Brabants Lorin, Quantifying Uncertainty and Improving Reliability of Time-Series Based Deep Learning Models, Promotor Dirk Deschrijver, Tom Dhaene, UGent, 2023.
Willems Siri, Learning-based Computational Strategies for Treatment Adaptation in Image-guided Radiotherapy, Promotor Maes F. , Sterpin E., KU Leuven, 2023.
Xingchen Ma, Uncertainty Estimation in Machine Learning: Applications in Neural Network Compression and Calibration, Promotor Matthew Blaschko, KU Leuven, 2023.
Xudong Zhao, Hyperspectral and LiDAR Data Fusion on Classification, Promotor Wilfried Philips, Wenzhi Liao, UGent, 2023.
Aslam Muhammad, Hardware efficient designs for deterministic and low latency wireless communication system using software-defined radio, Promotor Ingrid Moerman, UGent, 2022.
Barile Berardino, Machine Learning Methods for Multiple Sclerosis Classification and Prediction using MRI Brain Connectivity, Promotor Sabine Van Huffel, Dominique Sappey-Marnier, Frederik Maes, KU Leuven, 2022.
Catal Ozan, Deep generative models for navigation using active inference, Promotor Bart Dhoedt, Tim Verbelen, UGent, 2022.
De Brabandere Arne, Methods for automating time series analysis with applications in healthcare, Promotor Jesse Davis, KU Leuven, 2022.
De Groote Wannes, Hybrid physics-based neural network models for predicting nonlinear dynamics in mechatronic applications, Promotor Guillaume Crevecoeur, Sofie Van Hoecke, UGent, 2022.
Deruyttere Thierry, Deep Learning based Multimodal Interaction Agent for Real-life Settings with Focus on Autonomous Vehicles, Promotor Marie-Francine Moens, KU Leuven, 2022.
Diba Ali, Large Scale Video Understanding, Promotor Luc Van Gool, Tinne Tuytelaars, KU Leuven, 2022.
Eqlimi Ehsan, Novel compensation strategies for hearing-impaired auditory signal processing, Promotor Dick Botteldooren, Annelies Bockstael, UGent, 2022.
Grujičić Dusan, Multimodal Machine Learning for Natural Environments, Promotor Matthew Blaschko, Tinne Tuytelaars, KU Leuven, 2022.
Marynissen Simon, Advances in Justification Theory, Promotor Marc Denecker, Bart Bogaerts, KU Leuven, VUB, 2022.
Nieves Avendano Diego, Towards Machine Learning-Based Predictive Maintenance in Industry Using Vibration and Acoustic Data, Promotor Sofie Van Hoecke, Dirk Deschrijver, UGent, 2022.
Presenti Alice, 3D X-ray radiography-based inspection of manufactured objects, Promotor Jan Sijbers, UAntwerpen, 2022.
Schouterden Jonas, Efficient and Versatile Methods for Relational Machine Learning, Promotor Hendrik Blockeel, Jesse Davis, KU Leuven, 2022.
Vandenhende Simon, Multi-Task Learning for Visual Scene Understanding, Promotor Luc Van Gool, KU Leuven, 2022.
Villa Gomez Amalia, High-dimensional techniques for ECG Analysis, Promotor Sabine Van Huffel, Carolina Varon, Rik Willems, KU Leuven, 2022.
Zaporojets Klim, Neural Approaches to Entity-Centric Information Extraction, Promotor Chris Develder, Thomas Demeester, UGent, 2022.
Zizakic Nina, Autoencoder-Based Image Dimensionality Reduction Methods, Promotor Aleksandra Pizurica, UGent, 2022.
Angeli Andrea, A Physics-Informed Deep Learning Approach towards Multibody Digital Twins for State/Input/Parameter Estimation,, Promotor Wim Desmet, Frank Naets, KU Leuven, 2021.
Chirayil Chandrasekharan Reshma, Constructive matheuristics for combinatorial optimization problems, Promotor Tony Wauters, KU Leuven, 2021.
Hendrikx Dries, Characterization of the neurometabolic coupling in the premature brain using NIRS and EEG, Promotor S. Van Huffel, Gunnar Naulaers, Alexander Caicedo, KU Leuven, 2021.
Huysmans Dorien, Advances in unobtrusive monitoring of sleep apnea using machine learning, Promotor Sabine Van Huffel,, KU Leuven, 2021.
Jeunen Olivier, Offline Approaches to Recommendation with Online Success, Promotor Bart Goethals, UAntwerpen, 2021.
Junning Deng, Mining subjectively interesting patterns in rich data, Promotor T. De Bie, J. Lijffijt, UGent, 2021.
Moeyersons Jonathan, Advanced tools for ambulatory ECG and respiratory analysis, Promotor Sabine Van Huffel, Carolina Varon, Rik Willems, KU Leuven, 2021.
Moons Elias, Representation Learning for Automated Document Classification, Promotor Marie-Francine Moens, KU Leuven, 2021.
Morales John, Respiratory sinus arrhythmia estimation: closing the gap between research and applications, Promotor Sabine Van Huffel, Carolina Varon, KU Leuven, 2021.
Parisi Daniele, Data Integration in Drug-Target Interaction Prediction for Drug Discovery and Drug Repositioning, Promotor Yves Moreau, KU Leuven, 2021.
Piedrahita Giraldo Juan Sebastian, Embedded ML for Efficient Keyword Spotting, Promotor Marian Verhelst, KU Leuven, 2021.
Praet Stiene, Political behavior in the social media age : a data mining approach, Promotor David Martens, UAntwerpen, 2021.
Radulescu Roxana, Decision Making in Multi-Objective Multi-Agent Systems - A Utility-Based Perspective, Promotor Ann Nowé, VUB, 2021.
Roussel Tom, Compression Based on Image Features, Promotor Tinne Tuytelaars, KU Leuven, 2021.
Slembrouck Maarten, 3D reconstruction of persons and objects using multiple cameras with overlapping views in the presence of occlusion, Promotor Peter Veelaert, Wilfried Philips, UGent, 2021.
Vandecasteele Kaat, Multimodal epileptic seizure detection: towards a wearable solution, Promotor Sabine Van Huffel, KU Leuven, 2021.
Vandecappelle Michiel, Numerical Algorithms for Tensor Decompositions, Promotor Lieven De Lathauwer, KU Leuven, 2021.
Wang Kaili, Components Matter: Considering Compositionality for Visual Representations, Promotor Tinne Tuytelaars, KU Leuven, 2021.
Yperman Jan, Bridging the gap between machine learning and evoked potentials in MS, Promotors Bart Cleuren, Thijs Becker , UHasselt, 2021.
Adriaens Florian, Mining and modeling graphs using patterns and priors, Promotor Tijl De Bie, Jefrey Lijfijt, UGent, 2020.
Clauwaert Jim, Deep learning techniques for genome processing and annotation tasks in prokaryotes, Promotor Willem Waegeman, Marjan De Mey, Gerben Menschaert, UGent, 2020.
Deviaene Margot, Multimodal Signal Analysis for Unobtrusive Characterization of Obstructive Sleep Apnoea, Promotor Sabine Van Huffel, KU Leuven, 2020.
De Wel Ofelie, Advanced solutions for neonatal sleep analysis and the effects of maturation, Promotor Sabine Van Huffel, Gunnar Naulaers, KU Leuven, 2020.
Grau Isel, Self-labelling Grey-box Model: An Interpretable Semi-supervised Classifier, Promotor Ann Nowé, VUB, 2020.
Lavanga Mario, Advanced models for monitoring stress and development trajectories in premature infants, Promotor Sabine Van Huffel, KU Leuven, 2020.
Libin Pieter, Guiding the mitigation of epidemics with reinforcement learning, Promotor Ann Nowé, VUB, 2020.
Lu Tan, Homogeneity Models for Image Processing in the Cultural Heritage Sector, Promotor Ann Dooms, VUB, 2020.
Medico Roberto, Machine Learning-Based Detection of Anomalous and Discriminative Patterns in Time-Series Data, Promotor Tom Dhaene, Dirk Deschrijver, UGent, 2020.
Rannen Ep Triki Amal, Deep Neural Networks for Medical Image Analysis: Theory and Application, Promotor Matthew Blaschko, KU Leuven, 2020.
Todorov Helena, Structure learning to unravel mechanisms of the immune system, Promotor Yvan Saeys, Jacqueline Marvel (ENS Lyon), UGent, 2020.
Vandaele Robin, Topological inference in graphs and images, Promotor Tijl De Bie, Yvan Saeys, UGent, 2020.
Van Eyndhoven Simon, Tensor-based blind source separation for structured EEG-fMRI data fusion, Promotor Sabine Van Huffel, Borbála Hunyadi, Lieven De Lathauwer, KU Leuven, 2020.
Cannoodt Robrecht, Modelling single-cell dynamics with trajectories and gene regulatory networks, Promotor Yvan Saeys, UGent, 2019.