I try to understand things properly: how a disease shows up in an image, how a machine can move like a person, how a structure fails under test. Then make something out of it worth putting into the world.
Thinking out loud — about how we come to know things, and what that costs.
First posts in progress.
Things I have built, mostly with other people.
Where to put sensors on a large structure under test, so that damage is observable at all.
Hardware that moves a real mouse, trained on human movement. Nothing runs on the host computer.
The host machine sees an ordinary mouse moving; everything else happens on the desk. Movement is learned from recorded human traces, so the paths look like a person's rather than generated ones.
A chest X-ray classifier that shows where it looked and how sure it is.
Accuracy alone says nothing about a single case. Every prediction carries a confidence and the region it was read from, so the failures can be seen rather than averaged away.
Whether a busy train platform can be described with physical phases. Mostly it cannot, and where it breaks is the interesting part.
A week of LiDAR trajectories from Eindhoven Centraal platform 2.1, cut into 3 m × 3 m cells over 5-second windows and clustered without labels. Of five features, only density and mean velocity order the way physical phases predict, and the states sit close together — real, but not cleanly separated.

A farm robot in simulation with a live twin beside it, mirroring its state as it drives.
A TurtleBot3 drives a simulated field while a command centre mirrors zone moisture, nutrients, battery and fertiliser. Weather and faults are injected from the twin to see what the robot does about them.

A Pomodoro tracker in Java that ties every session to a task.
A session cannot exist without a task, so the record afterwards says what the time went into, not just how much of it there was.
I am a computer science and data science student at TU Eindhoven. The subjects change — robotics, medicine and disease, econometrics — but the pattern does not: learn one far enough to build something with it, then find out whether the thing survives contact with the world.
hello@abdelkassar.com