Artificial Intelligence for Energy Applications

Building-Integrated User-Empowered Flexibility Trading

Data-Driven Self-Learning Algorithms for Control in Smart Energy Grids

Data-Driven Self-Learning Algorithms for Control in Smart Energy Grids

Data-Driven Value Stacking in a Consumer-Centric Power System: A home Perspective

Deployable Data-Driven Control Algorithms for Residential Demand Response: A Study on Specialized, Problem-Specific Neural Architectures

Doctoral project Arun Narayanan

Doctoral project Emiel Maes

Doctoral project Frederik Bode

Doctoral project Ioannis Bekoulis

Doctoral project Juan Luis Aparicio Ojea

Doctoral project Kevin Mets

Doctoral project Lucas Sterckx

Doctoral project Matthias Feys

Doctoral project Nasrin Sadeghianpourhamami

Doctoral project Sergio Zambrano Perilla

Doctoral project Thong Hoang Van Duc

Graph Neural Networks and Generative Models for Energy Applications

Interpreting and Aligning Large Language Models

Language Model Adaptation with Applications in Artificial Intelligence for Education

Model-Free and Physics-Informed Reinforcement Learning for Control in Demand Response and Energy Efficiency Applications

Monitoring of Photovoltaic Systems and Forecasting of Power System Imbalance Using Neural Networks

Neural Approaches to Entity-Centric Information Extraction

Physics-Informed Machine Learning Based Identification and Reinforcement Learning Based Control of Flexibility in Smart Grid Applications

Resource-Efficient Data Annotation and Augmentation Methods for Conversational Agents

Towards Efficient NLP Models: Strategies for Improving Data Selection, Training, and Inference

Battery Storage Applications for Enterprise Users

Doctoral project Leen De Baets

For one can always start something new: a conceptual-qualitative study on patient agency

Neuro-symbolic information extraction on clinical data

Community-empowered Sustainable Multi-Vector Energy Islands

Design and analysis of multilingual-learning based models for advanced natural language understanding applications

Design and analysis of multilingual-learning based models for advanced natural language understanding applications

Developing Applied Building Photovoltaics for Performance and Reliability

InduFlexControl-2 - Control algorithms for flexibility in power-to-X and industrial processes

InduFlexControl - Control algorithms for flexibility in power-to-X and industrial processes

Multimodal and Knowledge-Grounded Dialogue Systems

Optimal and Scalable Management of Smart Energy Networks Plug-In Hybrid Electric Vehicles

INCREASE - Increasing the penetration of renewable energy sources in the distribution grid by developing control strategies and using ancillary services

The role of patient agency in the psychotherapeutic process: a mixed methods study.

Dimensioning, routing and switching algorithms for optical (media) grid architectures.