Welcome to this homepage, which contains mostly work-related information. Since I am an associate professor (universitair hoofddocent) in stochastic operations research, this page may be interesting ...

A Blender add-on that generates organic, vine-like paths across a mesh's vertices/edges using real pathfinding algorithms (Dijkstra, A*, Greedy Best-First, BFS), with live-updating distance control, ...

In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...

Getting ready for a HackerEarth assessment can feel a bit daunting, right? You want to show what you know, but the format and the pressure can be a lot. This guide is here to break down how to ...

As we all know, ChatGPT is a large language model (LLM) that is trained on a wide variety of massive data. It includes data from general knowledge, common sense, reasoning, mathematical problems, ...

Abstract: Large-scale low Earth orbit (LEO) satellite networks are characterized by massive node populations, rapid topology changes, and resource-constrained individual satellites. Existing routing ...

Got Tech, Data, AI and Media, and not afraid to use them. Are graphs really the new star schema? What do graphs look like to non-insiders, and what is it that attracts them to the graph community, ...

Bioinspired network designs are widely exploited in biointegrated electronics and tissue engineering because of their high stretchability, imperfection insensitivity, high permeability, and biomimetic ...

If you're a CS student, chances are you've dreamt at some point of getting a chance to work with the FAANG/MAANG — Meta, Amazon, Apple, Netflix, or Google. I know preparing for these internships in 3 ...

Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...