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

• IWT-SBO Hypermodeling strategies on multi-stream time-series data for operational optimization

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