Research Projects
Below is a list of fundamental research in Big Data. For applied research see example projects in industry.
LIRIS
- Developing process analytics-based real-time personalized feedback for smart learning environments (C2-project, 2016-2020, Promotor: Jochen De Weerdt, co-promotor: Monique Snoeck)
- Advancing trace clustering beyond traditional objectives in process mining (Internal project, 2015-2019, Promotor: Jochen De Weerdt, Researcher: Pieter De Koninck)
- COMPACT: Compliant Predictive Actuarial Models, KU Leuven, Promotors: Katrien Antonio, Bart Baesens, Caroline Van Schoubroeck
ML
STADIUS
- MIDAS - Meaningful Integration of Data, Analytics and Services
- nD - Multidimensional dynamical systems, multi-linear numerical algorithms and tensor data
- Implementatie van een niet-lineair Model Predictive Control Sturingssysteem voor het Demerbekken
- Clusteren van tijdreeksen: Een inzichtelijke afstand
- Tensor-based data similarity - Tensor-based study of data similarity
- DYSCO II - Dynamical systems, control and optimization
- BIOTENSORS - Biomedical Data Fusion using Tensor based Blind Source Separation
- Symbiosys II - From variome to phenome
- ERC A-DATADRIVE-B - Advanced Data-Driven Black-box modelling