Planning for a Licentiate degree

A common thing to do at the department of Automatic control, where I work, is to write a Licentiate thesis halfway through the Ph.D. The Licentiate degree is an academic degree used as a “declaration of future research in the Ph.D.“. I plan to present in about a year, but the planning starts now. ItContinue reading “Planning for a Licentiate degree”

Mathematics for Machine Learning

Few books that I read give me the feeling that they are written for me, but the book Mathematics for Machine Learning does. The book’s authors start from the basics and present advanced mathematical concepts in an understandable way. If you ever want to get “under the hood” of machine learning, I suggest you start here.

vBCI – reflections

I visited my first conference this spring. I presented a poster (abstract and video) for an adaptive approach to the calibration of BCI systems. I was very nervous before it started, but it was great – so much inspiration and new ideas. Some thoughts that I bring to the next conference I visit: Don’t be afraid toContinue reading “vBCI – reflections”

Summer BCI project

So far during the summer, a colleague (Martin Gemborn Nilsson) and I have been working on setting up a real-time BCI system. We had our struggles, but in the end, we managed. We used Timeflux and Psychopy. The BCI system detects the user’s workload (“how hard is the user thinking”). To calibrate, the user does an n-back experiment where theContinue reading “Summer BCI project”

Preparations for more teaching

The teaching for this semester has soon reached its end. As I have said before, I love teaching. I have gotten a lot of positive feedback for my webinars and for the labs I have supervised. Teaching has genuinely been one of the few glimpses of light in these dark Corona times. But more teaching willContinue reading “Preparations for more teaching”