Dmitriy KolyukhinÂ
Algorithms Design Engineer
Luxembourg office
My work in the FPGA group is related both to solving daily arising work issues and to long-time research. For example, I studied the comparative accuracy of scan results for surface points with different geometric characteristics.
Last months I also have been working on the characterization and statistical generation of various noise models. In particular, with spatially correlated speckle noise modeling. In turn, these results can be used to estimate the impact of different sources of errors and limitations on the accuracy of scanning results. In general, this comes down to solving mathematical problems such as sensitivity analysis and uncertainty quantification. One more example of my recent research activity is the comparative analysis of different commonly used methods of multiplicative noise filtering.
What I appreciate most about my job is the opportunity to engage in mathematical modeling, allowing me to pursue something I genuinely enjoy. The creative nature of the work enables me to test hypotheses and explore new ideas in a supportive team environment.
Throughout my career, I've worked already in Germany and Norway, and now I'm preparing to relocate to Luxembourg. While European countries share similarities, I hope my move will be relatively smooth.
Outside of work, I have a passion for reading, with John Steinbeck, Sergei Trifonov, and the Strugatsky brothers ranking among my favorite authors. I also enjoy jogging and have recently developed an interest in Fantasy football. If I were to recommend a movie, I'd suggest “Dead Poets Society”, "Swing Kids" or "The Big Short".
All of them. Long time I've always lived in a private house, we've had both cats and dogs. But cats are probably a little bit closer to me.
2/ If you would like to pick up any famous person to have a drink in a bar, who would it be?
Ilya Sobol is one of the most famous mathematicians who worked on the Monte Carlo methods. His research concerned several fields of study including e.g. nuclear physics and astrophysics. His results in quasi-Monte Carlo techniques are widely used in rendering software. He has also made outstanding contributions to global sensitivity analysis.
I would also talk to Bradley Efron, who made a decisive contribution to the development of the bootstrap method, based on a new approach to the use of data in statistics.
3/ If not working in algorithm design, what would you like to do?