Doctoral project Jan Verwaeren

AI-Driven Image Analysis for Improved Cultivation Decisions in Horticulture

A knowledge-based machine learning framework for pharmaceutical direct compression

Development and Aggregation of Animal Welfare Indicators Based on Distributed Data

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

Understanding Hierarchy Formation in Animal Groups through Probabilistic Modelling and Computer Vision

Advanced machine learning methods for spatio-temporal modelling

Advancing sustainability assessment of emerging pharmaceuticals via data-driven and hybrid 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

Identification of Congolese wood species by use of anatomical images and artificial intelligence

NutriTwin: a digital twin for sustainable pig production

Probabilistic models of plant growth

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

Computer vision and knowledge integration into self-learning systems

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

Combining network science and artificial intelligence for analysis and prediction of animal and human interactions

Continuous linear powder blender for processing of pharmaceuticals

NutriTwin: a digital twin for sustainable pig production - Empowering sustainbale pork through data integration and data-driven animal nutrition