Ph.D. studenten en postdocs
genealogy.math.ndsu.nodak.edu/id.php
- Current postdocs
- Current PhD students
Ph.D.Students en postdocs
- Former Ph.D. students (chronologically)
- Jan Van Impe
- Ph.D. 1993
- Modeling and optimal adaptive control of biotechnological processes
- Current position : Professor at Katholieke Universiteit Levuen, Chemical Engineering
- Johan David
- Ph.D. 1994
- Funding : FWO Ph.D. grant
- Algorithms for Analysis and Design of Robust Controllers
- Current Position : R&D engineer at NXP semiconductors, Leuven
- Jianbin Hao
- Ph.D. 1994
- Funding Ph.D. grant Research council K.U.Leuven
- Design of Neural Networks with Applications to Associative Memories, Identification and Control
- Current position : Vice-President Engineering & Chief Architect, Analogix Semiconduction Inc.
- Dirk Thierens
- Ph.D. 1995
- Analysis and Design of Genetic Algorithms
- Current position : Research Fellow, University of Utrecht, Genetische Algoritmen, The Netherlands
- Johan Suykens
- Ph.D. 1995
- Artificial Neural Networks for Modeling and Control of Nonlinear Systems
- Current position : Professor at Katholieke Universiteit Leuven, ESAT
- Peter Van Overschee
- Ph.D. 1995
- Funding FWO Ph.D. grant
- Subspace identification : Theory, implementation, applications (downloadable from http://www.esat.kuleuven.be/~sistawww/cgi-bin/pub.pl)
- Current position : CEO of IPCOS/ISMC (www.ismc.be)
- Yi Cheng
- Ph.D. 1995
- Funding Ph.D. grant Research Council K.U.Leuven
- Robustness Analysis and Controller Design for Systems with Structured Uncertainties
- Current position : Dynamic Control Systems, inc., Delta, Canada
- Geert Schelfhout
- Bart De Schutter
- Paul Vanvuchelen
- Ph.D. 1997
- Funding: IWT research project
- Virtual engineering for design and control of continuously variable transmissions
- Current position : Chief Research Officer at Arcelor-Mittal, Genk
- Lieven De Lathauwer
- Vincent Ryckaert
- Ph.D. 1998
- Funding : IWT Ph.D. Grant
- Model based optimisation and control of Bioprocesses
- Philippe Lemmerling
- Wouter Favoreel
- Jairo Espinosa
- Ph.D. 2001
- Fuzzy modelling and control
- Current position : Ass. Prof. at Univ. Nactional de Colombia, Fac. de Minas
Abstract
- Tony Van Gestel
- Ph.D. 2002
- Funding FWO Ph.D.Grant
- From linear to kernel based methods in classification, modelling and prediction
Abstract - Current position: Research and Development Engineer at Dexia
- Katrien De Cock
- Frank Verstraete
- PhD 2002
- A study of entanglement in quantum information theory
Full Text - Abstract - Current position: Professor at U.Gent
- pers : Professor krijgt miljoenenbeurs
Geldpot lokt onderzoekers naar Vlaanderen
Campuskrant 23 Nov. 2005 : Prijs Academische Stichting Leuven Exacte Wetenschappen - Winner Francqui Prize 2018
- Axel Nackaerts
- Tom Bellemans
- Gert Thijs
- Stein Aerts
- Frank De Smet
- Bart Hamers
- Patrick Glenisson
- Geert Fannes
- Tijl De Bie
- Kristiaan Pelckmans
- Kristof Engelen
- Maarten Van den Nest
- Oscar Mendoza Barrero
- Ivan Markovsky
- Ph.D. 2005
- Exact and approximate modeling in the behavioral setting
Published as book - Abstract - Slides
(received the second Alston Househoulder Prize (Honorable Mention), 2008) - Current position : Professor at University of Southampton, Signal, Images, Systems, School of Electronics and Computer Science
- Ivan Goethals
- Bert Pluymers
- Qizheng Sheng
- Joke Allemeersch
- Bert Coessens
- Ph.D. 2006
- Data integration techniques for molecular biology research
Full text - Abstract - Slides - Current position: Spin-off K.U.Leuven (Cartagenia)
- Steffen Durinck
- Ph.D. 2006
- Microarray compendia and their implications for bioinformatics software development
Abstract - Current position : National Health Institute, USA
- Marcelo Espinoza
- Sven Maerivoet
- Ph.D. 2006
- Modelling traffic on motorways : state-of-the-art, numerical data analysis and dynamic traffic assignment
Full Text - Abstract - Slides - Current position : Transport and Mobility Leuven (spinoff)
- Pieter Monsieurs
- Nathalie Pochet
- Ruth Van Hellemont
- Frizo Janssens
- Steven Gillijns
- Erik Hostens
- Ph.D. 2007
- Quantum entanglement distillation in the stabilizer formalism
Full Text - Abstract - Current position: FMTC, Leuven
Dagkrant : Preciezere veldbewerking door zelflerende autonome tractor
- Peter Antal
- Tom Van Herpe
- Ph.D. 2008
- Blood glucose control in crictically ill patients : Design of assessment procedures and a control system
Full Text - Abstract - Slides (part 1 - part 2) - Current position : Postdoc KULeuven, ESAT/SCD and CME
- Pers : Diabets Info : tête-a-tête, juli-augustus, 2012 - Reuters Health
- Peter Van Loo
- Bart Vanluyten
- Karen Lemmens
- Ph.D. 2008
- Reconstruction of regulatory modules based on heterogeneous data sources
Slides - Current position : Cropdesign NV, Zwijnaarde
- Olivier Gevaert
- Tim Van den Bulcke
- Steven Van Vooren
- PhD Sept. 2009
- Data Mining for molecular karyotyping : linked analysis of array-CCH data and biomedical text
Full Text - Abstract - Slides - Current Position :Spin-off K.U.Leuven (Cartagenia)
- Mauricio Agudelo
- Shi Yu
- PhD November 2009
- Kernel-based data fusion for machine learning : methods and applications in bioinformatics and text mining.
Full Text - Abstract - Slides - Current position : Postdoctoral scholar at the Institute for Genomics and Systems Biology, Dept. Medicine, University of Chicago, Knapp Center for Biomedical Discovery, USA
- Tom Coen
- 2009
- Model-based predictive control to increase the capacity of harvesting machinery in uncertain conditions
- Hui Zhao
- Raf Van de Plas
- Anneleen Daemen
- Toni Barjas Blanco
- Riet De Smet
- Valerie Storms
- Kris De Brabanter
- Léon-Charles Tranchevent
- Fabian Ojeda
- Julian Bonilla
- Hong Sun
- Niels Haverbeke
- Xinhai Liu
- Peyman Zarrineh
- Toon Van Gorp
- 2012
- The evalution of new biomarkers in gynaecological tumours. The emerging role of proteomics.
- Tillmann Falck
- Maarten Breckpot
- Kim Batselier
- Philippe Dreesen
- Bart Huyck
- Arnaud Installé
- Dusan Popovic
- Nico Verbeeck
- Marc Claesen
- December 2015
- Machine Learning on Belgian Health Expenditure data : data-driven screening for Type 2 diabetes
Full Text - Abstract - Slides - Ziekenfondsen kunnen helpen om de diagnose van ouderdomsdiabetes te vervroegen
- Minta Thomas
- Oliver Lauwers
- January 2021
- Time Series Clustering
- Tina Smets
- October 2021
- Manifold learning for visualization, prioritization, and data fusion of Mass Spectrometry Imaging data
- Xi Shi
- December 2021
- An automated clinical decision support system with better interpretability
- Thibaut Vaulet
- February 2022
- Data-driven Diagnostic Decision Support Systems: a Secondary Use for Early Pregnancy and Kidney Transplant Databases
- Algorithm for classification of kidney transplant pathology, with automatic calculation of an "activity index" and "chronicity index".
- Jan Van Impe
Postdocs and Visiting Guest Professors
- Dr. José Ramos
- 1993-1995
- Funding : Research Council, K.U.Leuven
- Current : professor, Purdue, USA
- Keywords : System identification
- Dr. Soren Jensen
- 1995-1996
- Funding : Postdoc EU Human Capital and Mobility
- Current : Professor, Denmark
- Keywords : Signal processing
- Dr. Li Baibing
- 1997-1999
- Funding : Postdoc research fellow Research Council, K.U.Leuven
- Current : Professor University of Newcastle, U.K.
- Keywords : Traffic modelling and control
- Dr. Delin Chu
- 1999-2000
- Funding postdoc research council K.U.Leuven
- Current : Professor at National University of Singapore
- Keywords : Generalized SVD
- Dr. Remco Devries
- 1996-1998
- Funding : Postdoc TMR Alapedes
- Current : Teacher, Amsterdam, The Netherlands
- Keywords : Traffic modelling and control
- Dr. Santiago Egido
- 1998-2000
- Funding : Postdoc TMR Alapedes
- Keywords : Traffic modelling and control
- Dr. Nickolay Trandafilov
- 1998-1999
- Visitor
- Keywords : Numerical linear algebra
- Dr. Koenraad Audenaert
- 1999-2002
- Funding : Postdoc on projects
- Quantum Information Theory
- Current : Professor University of London, Dept. Mathematics
- Dr. Mik Staes
- 2001-2002
- Funding : Postdoc on projects
- Current : Terumo Europe
- Keywords : bioinformatics
- Dr. Alexander Kukush
- 2001-2002
- Visitor
- Keywords : Numerical linear algebra
- Prof. Jan Willems
- 2001-2013
- Guest Professor
- Keywords : Systems and Control
- Personal Website - In Memoriam Website
- Liber Amicorum at the occasion of his 70th birthday (workshop Open and interconnecte systems modeling and control. Celebrating Jan Willem's 70th birthday, Sept. 2009, Brugge
- In Memoriam Presentation at 33rd Benelux Meeting on Systems and Control, Heijen, The Netherlands
- Prof. Hugo Woerdeman
- 2001-2002
- Guest Professor
- Keywords : Systems and control
- Prof. A.C. Antoulas
- 2003
- Guest Professor
- Keywords : Systems and Control
- Prof. Danny Sorensen
- 2003
- Guest Professor
- Keywords : Numerical linear algebra
- Prof. Michael Overton
- 2008
- Guest Professor
- Keywords : Optimization
- Prof. Erik Verriest
- 2008
- Guest Professor
- Keywords : Systems and control
- Dr. Bert Coessens
- 2001-2008
- Funding : Postdoc on Bioscope-IT
- Keywords : Bioinformatics
- Dr. Lieven Thorrez
- 2007-2010
- Funding : postdoc on SymBioSys
- Keywords : Bioinformatics
- Dr. Kristiaan Pelckmans
- 2000-2010
- Postdoc position at Upsalla, Sweden
- Keywords : Support vector machines
- Dr. Inge Thijs2017present
- Research Manager
- IBBT-K.U.Leuven Future Health Department
- Dr. Steven Vandeput
- 2010-2018
- Research Manager
- IBBT-K.U.Leuven Future Health Department
ex-PhD students (zonder doctoraat)
Willem Minten (1991-1999) ; Christiaan Moons (1991-1995) ; Jan Briers (1993-1996) ; Wim Van Brempt (1994-1997); Peter De Gersem (1995-1997) ; Herman Verrelst (1996-2001) ; Stan De Schepper (1995-1997) ; Sam Raspoet (1998-2000) ; Ana Isabel Guttierez (1999-2002) ; Emil Muresan (2000-2006) ; Sven Vranckx (2001-2005) ; Wim Ermans (1999-2000) ; Tom Schouten (1998-2001) ; Johan Cambré (1996-2000) ; Steven Bex (2001-2004) ; Dries Van Dromme (2001-2006) ; Maarten Duhoux (1999-2002) ; Jelle Geerits (2000-2002) ; Bert Schiettecatte (2002-2003) ; Evelyne Dewitte (2002-2005) ; Xander Warnez (2006-2007) ; Thomas Dhollander (2004-2008) ; Kevin Bruggeman (2008), Jeroen Boets (2003-2008), Wouter Van Delm (2004-2008), Liesbeth Van Oeffelen (2006-2009), Michaël Peeters (2009), Peter Clerinx (2008-2010), Pieter Schuddinck (2008-2011), Adefioye Adeshola (2007-2012), Antoine Vandermeesch (2014-2015), Peter Roelants (2014-2015), Brecht Coghe (205-2016)
Ph.D. Jury Member
- K.U.Leuven
- 1989 : Herman Van de Straete
- 1990 : Marc Moonen
- 1991 : Jan Vanderschoot, Johan Nuyts, Guido Tijskens
- 1992 : Jan Swevers, Lieven Vandenberghe
- 1993 : Colin Price, Marc Engels, Chwan-Hsen Chen
- 1994 : Pieter Vandenabeele, Patrick Dejagere
- 1995 : Dirk Torfs, Filiep Vanpoucke, Jeroen Dehaene, Johansson Tor-Björn,
- 1996 : Karl Meerbergen
- 1998 : Jean-Marie Vandeursen, Indrawanto, Karl Meerbergen, Yves Moreau, Gorik De Samblanckx, Stefaan Van Haute
- 1999 : Piet Vandaele, Geert Uytterhoeve, Karl Janssens, Herman Van de Straete
- 2000 : Geert Leus, Jan Anthonis, Bart Peeters
- 2001 : Kathleen Van Acker, Jairo Espinosa, Bashir Nouri. Nicola Mastronardi
- 2002 : Koen Eneman, Ilse Smets, Wim Michiels
- 2003 : Geert Rombouts, Kris Verstreken, Steven Logghe, Piet Van Assche, Kurt Stockman, Vincent Lampaert , Serban Catalin Dragu
- 2004 : Geert Ysebaert, Bram Demeulenaere, Wim Symens, Olivier Rousseaux
- 2005 : Luc Hoegaerts, Patrick Van Gucht, Els Vanbleu, David Vaes, Konrad Purchala,
- 2006 : M. Schuermans, Thong Vu Van, Diana Sima
- 2007 : Yperman Isaak, Michiel Debruyne, Kris Smolders
- 2008 : Filip Logist, Tom Coen (werktuigkunde, co-promotor)
- 2009 : Joris Vertommen, Dirk Depril, Carlos Alzate (promotor J. Suykens), Tom Coen, Tillman Falck, Ernesto Iaccuci, Léon Tranchevent
- 2010 : Abeer Fadda, Edwin Reynders
- 2011 : Joris D'Hondt, Marco Signoretto (promotor J. Suykens), Daniela Nitsch (Promotor Y. Moreau)
- 2012 : David Bekaert (Promotor : R. Belmans, G. Dekonick), Kris Van Hees (promotor : J. Engelen), Meng Sun (Promotor H. Van hamme)
- 2013 : Ernesto Iacucci (Promotor Y. Moreau en C. Verfaillie), Jiqiu Cheng (Promotor : Y. Moreau)
- 2014 : Marleen Claeys (Promotor K. Marchal), Roel Henckaerts (genomineerde Vlaamse Scriptieprijs)
- andere universiteiten
- 1992 : Hugo Van Hamme (VUB, Brussels)
- 1993 : Liang Wang (Mons)
- 1994 : Heinz Falkus (TU Eindhoven), Richard Hakvoort (TU Delft)
- 1996 : Victor Sorin Grigorascu (Paris),
- 1997 : Francky Debruyne (UCL), Thierry Bastogne (Nancy), Nelson Chui (Cambridge), Magnus Jansson (opponent, Stockholm)
- 1999 : Maurice Heemels (TU Eindhoven)
- 2000 : Benoit Codrons (UCL)
- 2001 : Mehmet Kanat Camlibel (K.U. Brabant, The Netherlands), Thomas De Hoog (T.U. Delft, The Netherlands)
- 2002 : Mario Balenovic (TU Eindhoven), Peter Verboven (VUB) , Karel J.G. Hinnen (T.U. Delft)
- 2003 : Pierre-Antoine Absil (Liege)
- 2004 : Bart Cauberghe (VUB), Hugo Cornelis (UA), A.A. Tyagunov (T.U. Eindhoven)
- 2007 : Karl Hinten (TU Delft)
- 2008 : K.J.G. Hinnen
- 2015 : Alejandro Bahnsen
- 2016 : Mihaly Varadi (VUB)
Master theses @ K.U.Leuven
- Promotor van meer dan 120 master thesissen in verschillende faculteiten (onderstaande lijst is niet volledig)
- Ingenieurswetenschappen (WIT), Master of Artificial Intelligence, Bio-Ingenieurswetenschappen, Statistics, Electrical Engineering
- 2023-2024
- Filing the gaps in time-series : Generative models applied to air-quality data imputation
Barouyr Demirjian, Luis Caminal Diaz - Probabilistic electricity consumption and peak forecasting : is deep learning taking over?
Valentin Duprez - Peak learning for denoising mass spectrometry imaging data
Chris Butcher, Serkan Shentyurk - Deep learning for clinical outcome prediction using high-resolution waveform data
Sounak Ghosh, Federico Soldati - Automatic image annotation for Decision Support System
Ishika Jain, Axl Wynants - Investigating the role of AI in improving image quality for medical applications
Siu Lam, Milan Ribel - Towards data-driven musicology : sequence-to-sequence error correction techniques for a complete transcription pipeline
Ran Vautmans - Towards resilient energy models : detecting and adapting to concept drift in household electricity forecasting with AI
Eline Michiels - Graph respresentation learning for medical vision
Thibault Heintz
- Filing the gaps in time-series : Generative models applied to air-quality data imputation
- 2022-2023
- Model accuracy estimation methods for residential electricity consumption forecasting
Emil Vermeiren - Benchmarking GAN models for synthetic medical data generation
Lore Van Santvliet - Data-enabled predictive control for artificial pancreas systems
Wout Van Droogenbroeck - Using Kalman filtering techniques to obtain a better State of Charge-estimation of the battery pack of a Solar car
Frederik Vanmaele - Active learning for Medical image segmentation
Ran Huo, Bilige Wuyun - Machine learning approach towards optimal temperature prediction for enzymes
Aralyn Jusupova - Apply machine learning in data quality assessment for medical time series
Linhan Liu, Ytong Li - Representation learning in histopathological images via deep learning-based models
Anja Denic, Juan Felipe Salcedo Escobar - Representation learning in histopathological images via Deep Learning based models
David Thonnard - Synthetic data generation for privacy preserving lung disease classification
Petros Tzanakakis
- Model accuracy estimation methods for residential electricity consumption forecasting
- 2021-2022
- Linear algebra view on nonlinear system identification
Thibault Van bocxlaer - Short-term particulate matter forecasting using deep learning/support vector machines techniques
Maurits Descamps - Design of an energy management system using model predictive control and AI techniques
Stefaan Tysebaert - Subspace methods for the block Macaulay framework. Tackling large-scale multiparameter eigenvalue problems from PDEs and system identification
De Sarthak - Wind Turbine Multivariate Time-Series Forecasting
Erikas Svazas - Microscopy and mass spectrometry imaging towards a combination of imaging modalities
Qiming Sun - Residential individual load forecasting using 1-D convolutional neural networks
Seif Nasreldin Mohamed Ahmed Elgazar - Contrastive Learning Strategies for Ovarian Cancer Detection
Steffi Van Hees - Day-ahead Time Series Forecasting of the Electricity Consumption in the Low Voltage Distribution Grid using External Variables and Custom Objective Function
Maximillian Weil - Internship report: leveraging AI to improve the prediction regarding the replacement of spare parts. A data-driven approach in the context of TV repairs
Louis Van Looy - Short-term electricity load forecasting of individual households using a Time Series Transformer
Ward Habraken - Topological data analysis for mass spectrometry imaging
Helena Derwae
- Linear algebra view on nonlinear system identification
- 2020-2021
- Peak Picking in MALDI MSI using spatial randomness
Yamini Chitale - Automated data cleaning of electronic health records
Charlotte Prins - Statistical measures for evaluating generative models with an application to fraud detection
Blazej Herbert Makosa - Wind turbine multivariate time-series forecasting
Francisco Javier Jara Avila - Evaluating different learned representations as preprocessing techniques on clinical data
Xin Zheng - Stable feature selections to find risk factors of disease
Hankun Ding - The application of ensemble models in intelligent decision support system
Ruiman Zhong - Probabilistic classification of kidney transplant biopsies using mixtures approaches
Manuel Borja Lopez Pelaez - A new globally optimal approach to solve multivariate polynomial optimization problems
Sibren Lagauw - Safety in deep reinforcement learning - applied to autonomous highway driving
Mathias Born - identificeren van realisatiemodellen door middel van multiparametereigenwaardeproblemen
Toon Huyck - Diversity in generative adversarial networks
Xugui Zhu - Short-term smart meter consumption forecasting, using deep learning/support vector machines techniques
George-Alexandru Mateescu - Neural networks with polynomial activation functions are eigenvalue problems
Shana Reynders - Particulate matter (PM) calibration and prediction in the city of Leuven
Luis Garcia-Baquero - Get in the groove : symbolic music classification based on bass, drums and chords
Hugo Enrique Montano Castillo - Multi-class prediction of tumor heterogeneity in mass spectrometry imaging (MSI) data
Shabnam Ebrahimi - Representation learning in histopathological images via deep learning based models
Pieter Dujardin - Biomedical data analysis : An in-depth study of potential of heat-diffusion for affinity-based trajectory embedding (PHATE) for mass spectrometry imaging data
Karel De Smet - Short-term forecasting of individual household electrical consumption
Stijn Staring - Application of Bayesian approach in decision support system
Ben Ameur Tarak - Semantic segmentation of aerial images for construction year determination of buildings
Thomas Decoster - Marchine learning for rapid classification of hyperspectral data
Ellen Raeymaekers
- Peak Picking in MALDI MSI using spatial randomness
- 2019-2020
- Longitudinal and functional analysis on early pregnancy data
Yao Ku - Deep learning based software for automated diagnosis of ovarian cancer
Pascal Leon Wiltschko - Optimal identification of ARMAX models via multiparameter eigenvalue problems
Bruno Nicola Esposito Acosta - Development of a machine learning based prescriptive maintenance systems for oil wells
Lotte Segers - Deep learning-based segmentation of ovarian lesions in ultrasound images
Axel Geysels - Multivariate time series data by machine learning algorithms for survival prediction
Alexander Damen - A quantum application for air traffic control
Sofie Goethals - Train a digital twin within reinforcement learning and transfer it to the real world
Gilles Janssens & Robbe Bresseleers - Analyzing early music : from manuscript to transcription
Yoeri Uytendaele - Active noise control for ego-noise suppression in an unnamed aerial vehicle
Shana Reynders - Full symbol detection of handwritten music scores using deep neural networks
Joren Reynaert
- Longitudinal and functional analysis on early pregnancy data
- 2018-2019
- Hybride modelleringstechniek die descriptieve en datagedreven modelling combineert
Joke Claeys - Multivariate polynomiale optimalisatieproblemen oplossen via numerieke lineaire algebra
Ruben Coppens - Mining health records using machine learning methods
Tingyu Qu - Joint latent class modelling to dynamically predict the risk for a miscarriage
Helene Vermeulen - Software for automated diagnosis of ovarian cancer
Jan Benisek - Missing musical note prediction
Apoorva Radhakrishnan - Improved classification of partially labeled data in imaging mass spectrometry through integration of morphological information
Wim Tiest - Prediction of cardiovascular disease in patients with Type 2 diabetes mellitus
Hyewon Koo - Mining regulatory elements from bacteriophages for the development of novel synthetic biology tools
Lucas Coppens
- Hybride modelleringstechniek die descriptieve en datagedreven modelling combineert
- 2017-2018
- On the use of autoencoders for sound texture transformation
Gregoria Nuevo Castro - Transfer learning on mass spectrometry imaging data
Wanqiu Zhang - Fuzzy semi-supervised machine learning with partially labelled data : application to PCR data
Ivana Pejeva - The falling rule list algorithm : an examination through miscarriage risk stratification
Olivier Heyndrickx - Privacy-preserving distributed learning of imaging mass spectrometry data
Genghua Dong - A duality between time series and complex networks
Danai Kafetzaki - Multidimensionale uitbreiding van een cepstrale afstandsmaat voor clustering van ingangs-/uitgangssystemen
- Clusteren van tijdreeksen, een nieuw agoritme herbekeken
Maarten Sprengers - Multidimensional system theory and its challenges
Thomas Michiels - Using a deep learning model for optical music recognition on early music manuscripts
Peter De Clercq - Fixed-size multi-output LSSVM for nonlinear system identification
Denis Dumoulin - Classification of partially labelled data in imaging mass spectrometry
Jonas Dehairs
- On the use of autoencoders for sound texture transformation
- 2016-2017
- Enhanced analysis of non-small cell lung cancer via deep learning with medical images and genomic data
Hannes Demeulemeester - Evaluating the effect of pre-processing mass spectrometry imaging data on the performance of the t-SNE algorithm
Tina Smets - Simultaneous segmentation and detection of metatases in lymph node sections using deep convolutional neural networks
Bram Geelen - An effective tool for databases of curated protein sequences and experimentally-validated molecular weights
Mohamed Hakim Elakhrass - Imaging mass spectrometry data analysis using deep learnng : network optimisation, behaviour and effects of sampling
Karel De Gendt - Feature selection in neural networks
Sofie Van Goidsenhoven - Representing and generating multi-layered music
Graham Spinks - Exploration of the semantic web through DBpedia
Fernando Lovera - Using machine-learning to improve endometrial cancer diagnosis
Diego Nieves Avendano - Detection of differential expression in time series gene expression data
Yang Hong - Mining public health data records using various machine learning methods
Xi Shi - Predictive Modeling under severe data missingness : The use-case of pregnancy complications prediction
John Wright - Revealing intact biochemical features via extracting latent signals from imaging mass spectrometry data.
Annelies Agten - Tijdreeksen en complexe netwerken : een duaal probleem ?
Joni Allaert - Modeling user engagement in digital newspapers
Lien Michiels - FIGARO : A fast and interpopulational genetic algorithm for receptor optimization
Pieter Noyens
- Enhanced analysis of non-small cell lung cancer via deep learning with medical images and genomic data
- 2015-2016
- A fully automated pipeline for computer vision tasks
Kumiko Suzuki - Identificeren van multivariabele lineaire parameter variërende modellen toegepast op fluttermetingen
Bob Vergauwen - Evolution of the Kidney Function with Blood Pressure
Evgeniya Korneva - Semi-supervised machine learning with partially labelled data : Application to PCR data
Duowei Tang - Clustering time series : a comparative survey
Jen-Yin Keung - Long-term outcome prognostic modelling of MS patients based on large datasets of short term MRI biomarker data.
Romanillos Botella Adrian - Kernel data fusion for miscarriage predictions
Thibault Vaulet - Early warnings for anomalies in industrial processes
David Clijsters - Time Series clustering based on system dynamics
Thomas Devenyns - Gaining insights of DB/DB diabetic mouse model by functional analysis on mass spectrometry imaging data
Ellen Borms - Drug target voorspelling met neveneffecten
Vereno Adriano - Mapping time series to graphs : Identifying periodicity
Lisa Van Gorp
- A fully automated pipeline for computer vision tasks
- 2014-2015
- Reducing Redundancy in deep convolutional neural networks
Pau Rodriguez Lopez - Effects of Refractoriness and adaptation on the dynamics of neuronal populations
Tomas Van Pottelbergh - Deep learning with labeled and unlabeled data : application on imaging mass spectroscopy
Brecht Coghe
- Reducing Redundancy in deep convolutional neural networks
- 2013-2014
- System identification based on deconvolution approaches
Yuanyuan Wang - Modeling, predicting and controlling epileptic seizures
Roel Henckaerts
Genomineerde Vlaamse Scriptieprijs - Classification of partially labeled data in imaging mass spectrometry
Zhenkai Yang - Improving endometrial cancer diagnosis through machine-learning
Lucas Denys - MSIdea : A tool for analysis and exploration of Mass Spectrometry Imaging data
Xian Mao
- System identification based on deconvolution approaches
- 2012-2013
- Application of LS-SVM to PM10 forecasting in Belgium
Charikleia Gklava - Application to LS-SVMs to Ozone Forecasting in Belgium
Johanna Orellana Alvear (AI) - Data Assimilation toolbox for Matlab
Wannes Van den Bossche (WIT) - Exploration of Tensor Decomposition for pattern analysis in imaging mass spectrometry
Antoine Vandermeersch (Bio-informatics) - Anatomical Atlas-based segmentation of mass spectral imaging data
Anastasia Karachalia-Sandri (Statistics)
- Application of LS-SVM to PM10 forecasting in Belgium
- 2009-2010
- A benchmark on microarray analysis with support vector machines for the prediction of cancer outcome
Dusan Popovic - Modellering van glucosedynamica bij kritiek zieke patiënten
Dries Telen, jan Bouckaert
- A benchmark on microarray analysis with support vector machines for the prediction of cancer outcome
- 2008-2009
- Geautomatiseerde kennisextractie uit industriële processing : raamwerk voor rule mining analyse van alarm- en operator actiedata
Nick Van Damme - Regeling van de Demer met een model predictieve regelaar
Maarten Breckpot - Niet-Lineaire dynamica in vermogenelektronische omvormers
Jeroen Tant (WIT) - Development of a real-time ridematching algorithm for dynamic carpooling
Tim Van Hoeck - Learning cancer biology : the combination of Bayesian networks and prior information
Nico Verbeeck - Chemoinformatics methods for aiding drug discovery
Marja Driesen (Master Bioinformatics) - Detection of novel 3' UTR extensions with microarrays
Hui-Ju Chang - Modelling the genome of ovarian cancer patients
Masoud Zamani Esteiki
- Geautomatiseerde kennisextractie uit industriële processing : raamwerk voor rule mining analyse van alarm- en operator actiedata
- 2007-2008
- Modale Analyse van vliegtuigen : Systeemidentificatie en onafhankelijke-componenten-analyse
Jelle Peeters - Interactieve visualisatie van overlappende genmodules
Tim Bottelbergs
- Modale Analyse van vliegtuigen : Systeemidentificatie en onafhankelijke-componenten-analyse
- 2006-2007
- Analyse en ontwikkeling van methoden voor modelvrij regelaarontwerp
Kris De Brabanter en Philippe Dreesen - Control of non-isothermal tubular reactor by means of proper orthogonal decomposition (POD) and state-space feedback techniques
Brecht Schoors - Het infereren van genetische netwerken aan de hand van moleculair-biologische data
Robert Emerencia - Recursive set-Membership state estimation : design and assessment
Radoslaw Kloska - Internship : Layout and visualization of gene module networks
Jan Bollen - Datamining in de ziekteverzekering een onderzoek naar het voorschrijfgedrag van huisartsen
Joachim Jacobs - De transductieve zoektocht, met datafusie, naar hartspierspecifieke cis-regulatorische modules
Marijn Spillebeen - Modeling of protein and peptide fragmentation pathways for mass spectrometry
Geert Vandeweyer - Generation of heterogeneous 'omics' data using synthetic biological networks
Chen Shang - Predictive genes with text mining and one class support vector machine
Nan Li - Mogelijkheden en beperkingen van fysiologische modellen voor het glucoregulatorisch systeem van patiënten op intensieve zorgen
Anneleen Daemen
- Analyse en ontwikkeling van methoden voor modelvrij regelaarontwerp
- 2005-2006
- De detectie van cis-regulatorische modules in DNA met behulp van verborgen Markov modellen en parametrische inferentie
Peter Loomans - Modelleren van ovariumtumoren met Bayesiaanse netwerken
Xavier Woot de Trixhe - Mogelijkheden en beperkingen van fysiologische modellen voor het glucoregulatorisch systeem van patiënten op intensieve zorgen
An Elen en Anneleen Daemen - Onderzoek naar een intelligente MPC-regelaar ter normalisatie van de glycemie bij patiënten op intensieve zorgen
Anne Delanote & Filip Dammekens - Model Predictive control met binaire beperkingen
Koen Timmermans en Ann Sniekers - Modelpredictieve controle met LS-SVM gebaseerde eindkost voor niet-lineaire systemen
Niels Haverbeke - Modularized learning of genetic networks
Paola Pilozzi - Machine learning in bioinformatics : implicit DNA-feature extraction with SVMs for detection of transcription factor binding sites (TFBSs)
Qi Chen en Xu Zhang - Classification and clustering of integrated textual and bibliometric information
Tran Quoc Viet - Moving object tracking from videos using a statistical based method
Kristof Op De Beeck - Using probabilistic relational models to identify cellular processes from gene expression data
Xiaolong Lai
- De detectie van cis-regulatorische modules in DNA met behulp van verborgen Markov modellen en parametrische inferentie
- 2004-2005
- Ontwikkeling van een regelaar ter normalisatie van de glycemie bij patiënten op Intensieve Zorgen
Dominique De Caluwé & Tom Vanderwegen - Gebruik van datamining voor de identificatie van genetische netwerken
Mieke Robijns en Els Raskin - Modelpredictieve controle met LS-SVM gebaseerde eindkost voor niet-lineaire systemen
Niels Haverbeke - Een vergelijking tussen lineaire en niet-lineaire identificatie technieken in aanwezigheid van seizoensgedrag
Jeroen Coppens - Ontwikkeling van een language user interface voor de softwaretoepassing videoCoach
- Normalizing microarray data : estimating absolute expression levels
Kristof Engelen - Least squares support vector machine for short-term load forecasting
Zhi Li
- Ontwikkeling van een regelaar ter normalisatie van de glycemie bij patiënten op Intensieve Zorgen
- 2003-2004
- Modelleren van het verband tussen menselijke waarneming en Sound Quality parameters gebruik makende van LSSVMs
Noël Jans en Tom Coen - Development of an MZXML composer
Robrecht Van Zandweghe - Gene hunting for human brain diseases by using multiple gene data sources and artificial neural networks
Ying Zhang - Een simulator voor dynamica in gen-regulatienetwerken
Thomas D'Hollander, Dirk Valkenborg - Online system identification during test flights
Jun Mai - Zangstem analyse en synthese met behulp van formant functies
Tom Francaert - Improving the Gibbs biclustering algorithm by use of supervized discretization
Michael Boehlen - Microarray data analysis using transductive kernel methods
Tijl De Bie - Overdracht van real-time 3D data
Koen Muylkens
- Modelleren van het verband tussen menselijke waarneming en Sound Quality parameters gebruik makende van LSSVMs
- 2002-2003
- Link analysis in bioinformatics co-authorship in scientific literature
Dong Yanju - All for text mining
Xiaodong Lu - Text Mining & Bio-informatics : A profiling of gene clusters by automated literature analysis
Steven Van Vooren - Acronym and abbreviation normalization in medical texts by maximum entropy modelling
Hannelore Houzet
- Link analysis in bioinformatics co-authorship in scientific literature
- 2001-2002
- Bio-Informatica : gebruik van Bayesiaanse netwerking voor genetische netwerkinferentie
Wouter Van Delm - Lineaire en niet-lineaire modellering van markgebaseerde liquiditeitsrisico
Roel Derom - Ontwerp en implementatie van een intelligente LUI voor VideoCoach
Bram Vercammen - Hard- en software implementaties van positie-extractiealgoritmes herberekenen
Pieter Hermans - Technical term Detection
Steven De Bruyn - Design of an intelligent interface : interfacing a bibliographic database
Frizo Janssens, Thomas Spiessens
- Bio-Informatica : gebruik van Bayesiaanse netwerking voor genetische netwerkinferentie
- 2000-2001
- Ontwerp, implementatie en performantie-analyse van aanbevelingssystemen
Bart De Ceulaer, Joris De Kelver - Grafisch modelleren van verkeer op snelwegen
Kristof Stroobants - Support Vector Machines for Advanced Clustering in Bio-Informatics
Bjorn Houtmeyers - Clustering van microrooster data : evaluatie van de Gene Shaving Methode
Erik Van den Enden - An iterative motif-finding method based on collapsed Gibbs sampler
Qizheng Sheng - Studie van entanglement van quantumsystemen
Peter Thury - Gemengd geheeltalige programmatie voor optimale botsingsvrije padplanning van autonome voertuigen
Tom Schouwenaars - Gebruik van lineaire matrixongelijkheden in robuuste identificatie en regelingen
Simon Vandemoortele - Autonomous cleaning using an AGV
Jeroen De Winter - Een intelligente tracker voor sinusoidale analyse van audio mbv HSVD
Johan Laneau
- Ontwerp, implementatie en performantie-analyse van aanbevelingssystemen
- 1999-2000
- Predictie van financiële tijdreeksen met Bayesiaanse Least Squares Support Vector Machines
Gert Lanckriet, Annemie Lambrechts - Support Vector Machines for large data sets. The sequential miminal optimization algorithm
Maciek Kusy - Ontwerp van een Kalmanschatter voor de baan- en positiebepaling van een satelliet op basis van magnetometer-sensoren
Lies Dries, Jo Mostes - Optimalisatie van een warmtekrachtkoppelingsinstallatie met model gebaseerde technieken
Frank Alaerts - Predictie van economische tijdreeksen
Bruno Vandaele - De kwantummechanische interpretatie van informatie
Pieter Abbeel, Tijl De Bie - Toepassing van geavanceerde controle op een batch reactor
Tim Wouters, Tom Marivoet - Studie van de benaderde kwantum-Fouriertransformatie in kwantumcomputers
Stefaan Seys, Johan Theunis
- Predictie van financiële tijdreeksen met Bayesiaanse Least Squares Support Vector Machines
- 1998-1999
- Detecteren van G-box in DNA met behulp van een ensemble van neurale netwerken
Bart Goeminne - Het technologiebeleid van de vlaamse regering en vlaamse verankering
Frederik Pieters (TEW) - Linear optimal control using semidefinite programming
Oscar Barrero - Support Vector Machines
Maarten Duhoux
- Detecteren van G-box in DNA met behulp van een ensemble van neurale netwerken
- 1997-1998
- Support Vector Machines vs. Neural Networks
Yu Wang & Yumin Wei
- Support Vector Machines vs. Neural Networks
- 1996-1997
- De kabeltoekomst : de nieuwe ontwikkelingen in de telecommunicatiesector en de reactie van de kabelmaatschappijen
Dieter Mattelin (TEW)
- De kabeltoekomst : de nieuwe ontwikkelingen in de telecommunicatiesector en de reactie van de kabelmaatschappijen