| H. B. Karaaslan | Leveraging probabilistic programming in causal inference for precision medicine | 2022 - 2024 |
| N. Salman | AI-enabled automated Artemia imagery processing: identification, counting, measurement, and life cycle monitoring | 2023 - 2024 |
| W. Demuynck | Towards an integrated pandemic model to inform policymakers - Quantifying the life years lost due to long-COVID and postponed healthcare during the 2020-2021 SARS-CoV-2 pandemic | 2022 - 2023 |
| J. Deygers | A comparative study of diversity indices for assessing food biodiversity and its relation with mortality in Europe | 2022 - 2023 |
| M. Fatjanov | The potential of hyperdimensional computing for protein sequence representation | 2022 - 2023 |
| H. Jaspaert | Modelling ecological higher-order interactions and their effect on invasions | 2022 - 2023 |
| J. Leus | Modelling chemical emissions at dredge disposal sites in the Belgian Part of the North Sea | 2022 - 2023 |
| J.-H. Nowé | Countering illegal timbering by using multimodal machine learning | 2022 - 2023 |
| N. Tourne | Two-branch neural networks for predicting protein-DNA interaction | 2022 - 2023 |
| Y. Bae | Drug-drug interaction prediction for side effects, diseases, and cell lines using three-step kernel ridge regression | 2021 - 2022 |
| A. Boey | Can an invasive species affect the response of a native seaweed to ocean warming? | 2021 - 2022 |
| J. De Landsheere | Data-driven prediction of pharmaceutical granules' size | 2021 - 2022 |
| L. De Pauw | Effect of pile driving on the seasonal and geographical distribution of the harbour porpoise (Phocoena Phocoena) in the Belgian part of the North Sea | 2021 - 2022 |
| W. Decrop | Computational prediction of bacteria-phage interactions of Escherichia coli through omics data analysis and machine learning
| 2021 - 2022 |
| B. Garré | Analysis of the circadian rhythm in dairy youngstock using computer vision | 2021 - 2022 |
| A. Merckx | The art of summarising: looking for informative statistics to calibrate agent-based models | 2021 - 2022 |
| S. Santelé | Modelling the effects of future marine heatwaves on North Sea bivalve molluscs | 2021 - 2022 |
| D. Snoeck | A data-based view for brewing | 2021 - 2022 |
| B. Spanoghe | Probabilistic programming for Bayesian modeling and its applications in biology | 2021 - 2022 |
| S. Taragola | Analysis of the Standardized Precipitation Index on droughts in Flanders | 2021 - 2022 |
| W. Van Belle | Automating the design of biological robots using MAP-Elites | 2021 - 2022 |
| L. Van Der Veken | Automatic calibration of a conceptual rainfall-runoff model | 2021 - 2022 |
| S. Van Hoye | Evolution and design of metabolic networks using quality-diversity optimization algorithms | 2021 - 2022 |
| Y. Van Laere | Detection of 5mC modification in Nanopore sequencing data using deep learning | 2021 - 2022 |
| S. Van Parys | BIOBOTS: a new type of multicellularity | 2021 - 2022 |
| M. Vandewalle | Environmental sustainability assessment of centralised and decentralised drinking water production | 2021 - 2022 |
| Q. Q. Li | Applications of differentiable dynamic programming in biology | 2020 - 2021 |
| E. Lorrez | Quantifying the environmental controls on African tropical forest dynamics through using a Granger causality framework | 2020 - 2021 |
| J. Luca | Investigation of the impact of the corona measures on the air quality in Flanders | 2020 - 2021 |
| K. Rondou | Microstructure development in semi-liquid shortenings upon storage | 2020 - 2021 |
| L. Theunissen | A comparison of flat and hierarchical classification for automatic annotation of single-cell transcriptomics data | 2020 - 2021 |
| J. Vanhaecke | De rol van predictiemodellen in de genetische vooruitgang van plantenteelt | 2020 - 2021 |
| T. Willaert | Improving classification by rejection of high epistemic uncertainty points | 2020 - 2021 |
| K. Zhang | Drug-target interaction prediction using multi-target prediction methods | 2020 - 2021 |
| L. Davey | Using artificial neural networks to uncover features in promoter sequences responsible for nonorthogonality in E. Coli | 2019 - 2020 |
| B. De Saedeleer | Combatting illegal timber trade using chemical fingerprints: the power of mathematics and mass spectrometry | 2019 - 2020 |
| S. Dierickx | Bayesian optimisation for modular design: BOMoD.jl | 2019 - 2020 |
| T. Ntumba | Prediction of water quality parameters of Flemish surface waters using machine learning techniques | 2019 - 2020 |
| S. Omar | Vochtdynamiek van biogebaseerde bouwmaterialen als levensduurbepalende parameter | 2019 - 2020 |
| M. Perneel | Gebruik van machine learning methoden voor het voorspellen van productiekengetallen bij melkvee | 2019 - 2020 |
| L. Pollaris | Protein secondary structure prediction using transformer networks | 2019 - 2020 |
| G. Tjon | Automative drinking water monitoring using flow cytometry data | 2019 - 2020 |
| L. Van de Sompel | Machine learning for empowering the bio-economy: using lower rade feedstocks for the production of fatty aids at an industrial scale | 2019 - 2020 |
| L. Van Waerebeek | How do temperature-nitrate interactions shape the sensitivity of a brown seaweed to global warming? | 2019 - 2020 |
| T. Vanneste | Predicting interactions between bacteria and their prophages based on genomic sequence data | 2019 - 2020 |
| B. Verfaillie | Pattern recognition in raman spectroscopy data for a faster labelling of subjects in multiple domains | 2019 - 2020 |
| J. Vermout | A data-driven approach to the design of new cocktail recipes | 2019 - 2020 |
| K. D'haeyer | Towards a data-driven identification of the microbial "Rammanome" | 2018 - 2019 |
| B. De Clercq | Forecasting tidal surge in the Lower Sea Scheldt using machine learning techniques | 2018 - 2019 |
| G. De Clercq | Deep learning for classification of DNA functional sequences | 2018 - 2019 |
| A. Deloose | Acoustic monitoring of bats with self-organizing maps | 2018 - 2019 |
| N. Goeders | Fight the illegal wood trade through chemical fingerprints : The power of mathematics and mass spectrometry | 2018 - 2019 |
| A. Potokin | Bayesiaanse optimalisatie voor het ontwerpen van nieuwe enzybiotica | 2018 - 2019 |
| S. Taelman | A dual computational approach to map domain architecture in phage lytic proteins | 2018 - 2019 |
| S. Top | Vertical farming of lettuce: the influence of rhizosphere bacteria and substrates | 2018 - 2019 |
| M. Van Haeverbeke | Detection of m6a modifications in native RNA using Oxford Nanopore Technology | 2018 - 2019 |
| D. Boeckaerts | A computational study of bacteria-phage interactions to reveal determinants of phage-host specificity | 2017 - 2018 |
| A. De Graeve | Detecting climate drivers for vegetation extremes | 2017 - 2018 |
| T. De Nood | Cellular automata for simulation of water transport in variably saturated soil | 2017 - 2018 |
| K. De Roos | Invloed van klimaatverandering op extreme debieten: een benadering op basis van vine-copula's | 2017 - 2018 |
| L. Hoebeke | Automated recognition of people and identification of animal species in camera trap images | 2017 - 2018 |
| R. Ingels | Understanding vegetation anomalies with machine learning methods | 2017 - 2018 |
| M. Misonne | Prediction of RNA polymerase-DNA interactions in Escherichia Coli | 2017 - 2018 |
| I. Van Bever | Ruimtelijk discrete modellering van oppervlakkige afvoer in het Bulskampveld | 2017 - 2018 |
| J. Van de Velde | Een vergelijkende studie van alternatieve retourperiodes voor hydraulisch ontwerp | 2017 - 2018 |
| Z. Van Moerkerke | Exploring the link between competition structure and long-term coexistence in in silico communities | 2017 - 2018 |
| S. Vanbesien | Machine learning and pollination networks: the right flower for every bee | 2017 - 2018 |
| T. Vanlerberghe | Hierarchical multi-label classification of food products | 2017 - 2018 |
| J. Verwilt | Modelling of Myxococcus xanthus populations and functional analysis of Pxr small RNA putative targets in Myxococcus xanthus | 2017 - 2018 |
| L. Bodyn | Exploration of deep autoencoders for collaborative filtering on cooking recipes | 2016 - 2017 |
| K. Coorevits | The spread of myxomatosis in Belgium: A model-based reconstruction | 2016 - 2017 |
| L. De Visscher | Towards a real-time dynamic wildfire simulator for Belgium | 2016 - 2017 |
| S. Decubber | Spatiotemporal optimization of Granger causality methods for climate change attribution
| 2016 - 2017 |
| J. Heyse | Development and application of single-cell analysis tools for the study of sympatric bacterial populations | 2016 - 2017 |
| T. Mortier | Modeling of climate-vegetation dynamics using machine learning techniques in a non-linear Granger causality framework | 2016 - 2017 |
| W. Quaghebeur | Individual-based modelling of biodiversity in microbial communities | 2016 - 2017 |
| D. Schaumont | Een integratieve benadering gebaseerd op random forest voor de verbeterde predictie van exon-intron juncties | 2016 - 2017 |
| X. Yin | Discovering relationships in climate-vegetation dynamics using dynamic feature selection techniques | 2016 - 2017 |
| C. Zhang | Visualization and unsupervised learning of flow cytometry data for bacterial identication | 2016 - 2017 |
| F. Zoeter | Een uitbreiding van het gewijzigde Bartlett-Lewis neerslagmodel met behulp van copulas | 2016 - 2017 |
| A. Depicker | Risk analysis and spatio-temporal modeling of wildfires in Belgium | 2015 - 2016 |
| T. Focquet | Linear algebra solver for combined sparse/dense system equations | 2015 - 2016 |
| F. Ramon | A data-driven analysis of ingredients in cooking recipes | 2015 - 2016 |
| L. Tilleman | In silico engineering van cytochroom P450 via machine learning technieken | 2015 - 2016 |
| A. Van den Hove | Het ontwerpen van een zwarte koolstof kaart van stadsregio Gent voor gebruik bij routing problemen | 2015 - 2016 |
| S. Vriens | Een habitatgeschiktheidskaart voor de oehoe: kennisgebaseerde versus datagedreven modellering | 2015 - 2016 |
| J. De Reu | Analyse van voorspellingsmodellen voor aardappelziekten en hun toepasbaarheid in Vlaanderen | 2014 - 2015 |
| T. Depraetere | Transient coexistence in non-deterministic cyclic species competition | 2014 - 2015 |
| W.K. Tsang | Assessing pathogen invasion based on community evenness and metabolic similarity | 2014 - 2015 |
| M. De Clercq | Prediction of ingredient combinations using machine learning techniques | 2013 - 2014 |
| M. Ghijs | Spatio-temporal modeling of filter cake formation in membrane bioreactors | 2013 - 2014 |
| A. Gistelinck | Enhanced spatio-temporal modelling of basal water beneath ice sheets | 2013 - 2014 |
| R. Van de Vijver | Een experimentele studie van gekoppelde, niet-lineaire chemische oscillatoren | 2013 - 2014 |
| W. Van der Meeren | Stability of stochastic cellular automata | 2013 - 2014 |
| A. Keunen | Spatio-temporele, datagedreven modellering van natuurbranden | 2012 - 2013 |
| A. De Paepe | The prediction of interaction between mRNA and miRNA using machine learning techniques | 2012 - 2013 |
| N. Nicolaï | Experimental design for multi-enzyme processes | 2012 - 2013 |
| N. Vanheuverbeke | Datagedreven modellering van dierenmigratie aan de hand van brownse bruggen | 2012 - 2013 |
| M. De Schagt | Efficiënte parallellisatie van cellulaire automaten | 2011 - 2012 |
| M. Stock | Learning pairwise relations in bioinformatics: three case studies | 2011 - 2012 |
| M. Brackx | Automatisch determineren van bomen op basis van beeldmateriaal met behulp van machine learning technieken | 2010 - 2011 |
| D. De Wilde | Modellering van mycelium netwerken in complexe substraten | 2010 - 2011 |
| L. Eyerman | Parametrisatie van een ruimtelijk expliciet epidemiologisch model CASIR | 2010 - 2011 |
| J. Vandepitte | Ontwikkeling van een gepersonaliseerde webtool voor de predictie van aarfusarium | 2010 - 2011 |
| W-J. Vanhaute | Parametrisatie van stochastische neerslagmodellen door middel van heuristische zoektechnieken | 2010 - 2011 |
| D. Van Audenhove | Analyse van spectrum- en sequentie-gebaseerde similariteitsmaten van bacteriën met behulp van machine learning technieken | 2009 - 2010 |
| P. Van der Weeën | Ontwikkeling en validatie van discrete spatio-temporele modellen ter beschrijving van scheikundige processen | 2009 - 2010 |
| J. Vandepitte | Voorspellen van Fusarium spp. aanwezigheid en DON concentraties in wintertarwe met machine learning technieken | 2009 - 2010 |
| D. Baele | Dynamische metabolische modellering: analyse van controlecoëfficiënten en evaluatie van B-spline datasmoothers | 2008 - 2009 |
| B. Debusscher | Ontwikkeling van een routeplanningstool met behulp van intelligente technieken | 2008 - 2009 |
| S. Gielen | Simulatiestudie van microbiële diversiteit bij nitrificatie in biofilmreactoren | 2008 - 2009 |
| D. Jacops | Identificatie van de kinetiek in metabolische modellen: een genetische algoritmen gebaseerde aanpak | 2007 - 2008 |
| S. Landschoot | Markov Chain Monte Carlo methodes voor verwantschapsanalyse in de plantenveredeling | 2007 - 2008 |
| S. Vandenberghe | Frequentie-analyse van de 105-jarige neerslagtijdreeks te Ukkel met behulp van copulas | 2007 - 2008 |
| D. Curvers | Modelleren van de elektro-osmotische ontwatering van afvalwaterslib | 2004 - 2005 |
| S. Lievens | Studie en implementatie van instantie-gebaseerde algoritmen voor destillatie-eenheden | 2003 - 2004 |
| E. Van Broekhoven | Toepasbaarheid van vage technieken bij de procesvoering van destillatie-eenheden | 2001 - 2002 |