Doctoral project Jan Verwaeren

AI-Driven Image Analysis for Improved Cultivation Decisions in Horticulture

Computer vision and network analysis methods for studying interaction patterns of farm animals based on video monitoring

Development and Aggregation of Animal Welfare Indicators Based on Distributed Data

Development of an expert system for optimizing the formulation of tablets

Development of Learning-based Surrogate Models for Predicting the Fluid Dynamics in a Pharmaceutical Bioreactor.

Doctoral project Arne Deloose

Doctoral project Maarten Perneel

Hybrid modeling of surface water quality

Hybrid models for wastewater treatment processes through integration of image analysis

Advanced machine learning methods for spatio-temporal modelling

Automated visual inspection using deep learning approaches for enhanced quality control of pharmaceutical products.

Automatic and unsupervised detection of weeds based on high resolution UAV imagery

Bayesian lot inspection plans

Combining network science and artificial intelligence for analysis and prediction of interactions among animals and humans

Doctoral project Michiel Elewaut

Probabilistic models of plant growth

Smart classification of Congolese timbers

A probabilistic programming approach to the analysis of high-dimensional biological monitoring data.

Automated monitoring of pig behavior using multi-modal sensing and its application to study social interactions and stress

Hybrid water quality forecasting using sensor data and mechanistic models

Integration of expert knowledge in time-series analytics as leverage for improved monitoring and decision support in complex agricultural systems

New technologies and AI for optimal crop management in ornamental horticulture

SmartWoodID: Smart classification of Congolese timbers: deep learning techniques for enforcing forest conservation

Continuous linear powder blender for processing of pharmaceuticals