Rate My Professor Serge Kruk

Serge Kruk is an Associate Professor of Mathematics in the Department of Mathematics and Statistics at Oakland University, where he has been a faculty member since the early 2000s. He holds a Ph.D. from the University of Waterloo in Canada. Before entering academia full-time, Kruk worked for nearly fifteen years in the industrial sector, specializing in software development at companies like Bell-Northern Research. In 2006, he earned promotion to Associate Professor with tenure. He currently chairs the department's Computer Committee and has been involved in various university initiatives, including research grants from the National Science Foundation on computational and numerical statistics and mathematics. He received a university fellowship award for his project on a flow model related to teaching at Oakland University.

His primary research interests encompass optimization, constraint programming, numerical analysis, algorithms, linear programming, scheduling, mathematical programming, logistics, modeling, optimization modeling, and network optimization. Kruk's scholarly output includes over 28 publications. Notable works feature the 'Extrapolation algorithm for affine-convex feasibility problems' published in Numerical Algorithms in 2006 with H.H. Bauschke and P.L. Combettes, 'Reflection-projection method for convex feasibility problems with an obtuse cone' in the Journal of Optimization Theory and Applications in 2004 with H.H. Bauschke, 'A robust algorithm for semidefinite programming' in Optimization Methods and Software in 2012 with X.V. Doan and H. Wolkowicz, and 'The Gauss-Newton direction in semidefinite programming' in Optimization Methods and Software in 2001 with M. Muramatsu, F. Rendl, R.J. Vanderbei, and H. Wolkowicz. He contributed chapters to 'Practical Python AI Projects' in 2018 and has supervised Ph.D. students, including five listed in the Mathematics Genealogy Project.