AILab Howest

Charlotte Larmuseau

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.

Gilles Depypere

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.

Esli Heyvaert

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.

Nathan Segers

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.

Jens Krijgsman

Automation researcher

A full-stack researcher with a strong grasp of both front-end and back-end development. A passionate automation enthusiast and love working in environments that use MLOps, AIOps, and DevOps tools. This passion is driven by their love of learning new things, making sure they always know the latest advancements in the IT world.

Jens Eeckhout

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.

Lore Leenknegt

Researcher AI Lab

Specialized in computational modeling, Lore likes to apply her knowledge of mathematics, physics and AI to different areas like energy management, bio-sciences, and cyber security. After graduating as a Master in Biophysics, she continued to do a PhD in Applied Mathematics where the focus was on modeling cardiac electrograms. In addition, she likes to spread her enthusiasm for sciences and technology to the general audience.

Thijs Pirmez

Android & iOS developer, AI researcher

Thijs Pirmez is an Android and iOS developer, as well as an all-around AI researcher. He embarked on his technology journey as a self-taught coder, and from that point onward, he has never looked back.

Kyra Van Den Eynde

AI/CS Researcher, AI Lead

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.

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.

Thomas Huyghebaert

AI Researcher

Thomas is an AI and coding enthusiast with a focus on modeling and a knack for writing clean, efficient code. In addition to his interest in AI, he likes to explore MLOps and cloud technologies. His work is driven by a curiosity for innovation and continuous learning.