Education Profile

  • Nanodegree, Machine Learning, 2018
  • Ph.D., Mathematics, Belarusian State University, 2013
  • M. Sc., Theoretical Physics, Belarusian State University

Honors & Awards

  • ACM SIGSAM Award, 2017
  • Graduation with Distinction, Belarusian State University, 2009

Professional Memberships

  • Association for Computing Machinery (SIGSAM and SIGGRAPH) 
  • Foundations of Computational Mathematics 

Dmitry Lyakhov is a Postdoctoral Research Fellow at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST), working with Professor Dominik Michels in the Computational Sciences Group (CSG).

Education and Early Career

Dmitry Lyakhov graduated from Belarusian State University with master degree in Theoretical Physics and, later on, a Ph.D. in Mathematics. He is also an alumnus of the National Academy of Sciences of Belarus and visiting scholar of von Karman Institute for Fluid Dynamics. In 2018, he received a Nanodegree in Machine Learning.

Before joining KAUST, Dmitry was a researcher in the Joint Institute for Nuclear Research with Professor Vladimir Gerdt, and a lecturer at the Belarusian State University.

Research Interest

His research comprises algebraic algorithms, mathematical modeling, symbolic computation, and theoretical aspects visual computing. In industrial context he was working on development of rigorous algorithmics for robust mesh generation in CFD (at Numeca International).

Honors and Awards

Dmitry graduated with distinction from Belarusian State University in 2019. Later in 2017, he was aworded the CM SIGSAM Award on his distinguished Paper with Vladimir Gerdt and Dominik Michels.

Selected Publications

Dmitry has many publication in his field of research. The most resent paper in 2018 under the title “A Strongly Consistent Finite Difference Scheme for Steady Stokes Flow and its Modified Equations” at Cornell University Library, co-authored by Yury A. Blinkov, Vladimir P. Gerdt, Dmitry A. Lyakhov, Dominik L. Michels