Mats Petter Wallander

I did a summer internship at C-Technologies AB together with a friend, where our task was implementing the first prototype of a new product idea. The idea was to print a fine dot position-coding pattern on writing paper and have a pen position itself relative to the paper using a tiny camera in the front, thus creating a digital copy of what was written.

We were handed the patent application for the dot pattern, and their existing product, a camera-based translation pen, with a glued-on ballpoint pen. During the summer, we both improved the properties of the pattern itself and developed algorithms for the pen to position itself. This became a demo that was used by C-Technologies to raise funding for developing the pen technology in the new subsidiary Anoto AB.

At Flatfrog AB, I implemented code to optimize the component placement in their displays, reducing the number of components needed to achieve required detection accuracy.

The optimizer's results lead to new insights into the component geometry, leading to several new patent applications for the company.

I am the co-founder of a solar energy company, where I have mostly been active in writing a simulator to test and optimize design ideas. The simulator is written in C++ with SWIG Python bindings.

Throughout my university years, I have enjoyed participating in the Nordic Collegiate Programming Contest (NCPC), a team-programming contest for students (part of the ACM ICPC). After graduating, I have some years contributed as a problem constructor and judge and some years competing in the open, non-student, class.

In 2011, my team consisting of me and two friends came in first place, out of over 200 teams in the Nordic region, solving all ten problems in less than five hours.

I wrote a Wordfeud helper app for Android together with a friend. He implemented the Android UI and I implemented the basic search algorithm that is guaranteed to find the available move with the highest score in an efficient manner (something that most other similar apps could not do).

We are no longer supporting the app, but it did receive great reviews in its day and was a nice exercise in building compact word trees and implementing an efficient search algorithm.