/
The team

Smart Tech Lab Manager
Charlotte is the coordinating manager of HITLAB, AI Lab and Energy Lab. Charlotte is responsible for networking with companies and organizations, monitoring and coordinating projects, and managing the different project teams. Charlotte obtained a master's degree in educational sciences (UGent), and a master-after-master in international business economics and policy (KU Leuven). She pursued a joint doctoral degree in pedagogical and computer sciences at KU Leuven and Université de Lille.

AI/CS Researcher, Teamlead
Kyra Van Den Eynde has a bachelor's degree in Cyber Security and one in Artificial Intelligence. Within Howest's research groups, she therefore mainly focuses on projects that investigate what the added value of AI could be for today's cyber security. In addition, she mainly has a background in computer vision, but also does general AI projects.

Automation & AI researcher, Teamlead
A full-stack researcher with extensive knowledge of both front-end and back-end development as well as software architecture. His profile has led him to handle the automation and integration of AI in various projects, particularly in environments that make use of MLOps, AIOps, and DevOps tools. Jens serves as one of the team leads within the AI lab


AI & XR researcher
Jens Eeckhout is an XR Developer with an interest and passion for AI. During his bachelor studies at Digital Arts & Entertainment Jens came into contact with the possibilities that game technology can offer for industry use-cases. After starting as a researcher at DAE Research, he transferred in 2022 to our team to combine his knowledge of Game/Immersive technologies with AI.

Researcher AI Lab
Being both a researcher in AI Lab and a teacher at Creative Technologies & AI, Gilles strives to obtain as much experience as possible in all different fields of Applied AI Research. Focusing on AI modeling and data preprocessing, he makes the link between research and education in the fast-changing world of AI. His main topics of interest are Computer Vision, Energy and Time Series forecasting and Generative AI.


Lecturer XR and MLOps
Combining AI and XR research with teaching at Howest MCT, offers Nathan the best options of both worlds. Doing innovative research in MLOps and quickly delivering it to the students is a great combination. His specialities include Lifelong learning, MLOps, Mixed Reality, Full Stack Web Development, Docker & Kubernetes and DevOps.

Lecturer data engineering & infrastructure engineering
Passionate about data and infrastructure engineering, Esli is a dedicated lecturer and proud professional nerd. He thrives on staying at the forefront of technology, whether it's building robust data pipelines or optimizing infrastructure for scalability. Let's shape the future together, one line of code at a time.

Lise Vanhoutte
Administrative Officer
In a data-driven world that is constantly changing, our administrative assistant Lise makes sure everything runs smoothly behind the scenes. Her organisational skills support our team of passionate experts in applying AI to solve challenges. With her help, we can fully focus on developing and implementing the latest AI innovations and what benefits it can bring to your organisation.