Gennady Yu. Kulikov

Senior Research Fellow
(Investigador Principal)


Gennady Yu. Kulikov (b. in 1965, Russian Federation) graduated from Faculty of Mechanics and Mathematics of Moscow State University in 1988 (Diploma Cum Laude), and earned his Ph.D. ("candidate degree") from Computer Engineering Center of Russian Academy of Sciences in 1994. He obtained his Habilitation (Russian "Dr. of Sciences") in 2002.

He worked at Faculty of Mechanics and Mathematics of Ulyanovsk State Univerity in Russia from 1993 till his relocation to South Africa in 2004, where he became a Senior Lecturer and, then, a Reader at University of the Witwatersrand (School of Computational and Applied Mathematics, Faculty of Science). In 2009, he emigrated to Portugal and became a full-time Researcher (Investigador Auxiliar under 5-year "Ciência 2008" contract) at CEMAT, Instituto Superior Técnico, Universidade de Lisboa. In 2013, he was granted a new 5-year full-time contract at the same institution as a Senior Research Fellow (Investigador Principal under "FCT Investigador 2013" contract). For many years, he has served as a referee for a number of international peer reviewed journals and a reviewer for Mathematical Reviews of the AMS. Also, he was an Associate Editor of the Editorial Board of the Journal of Applied Mathematics and Computing from 2000 till 2003. Dr. Kulikov has published widely in national and international peer-reviewed journals and obtained a number of research grants. Over the years, he taught several undergraduate and graduate courses in computational mathematics, numerical methods for differential equations, computational linear algebra, and prepared a number of M.Sc. and Ph.D. students. He also supervised post-doctoral research projects in his area of expertise. 

Current research interests focus mainly on the theory of numerical methods for differential and differential-algebraic equations with special emphasis to global error estimation and control techniques. They also include application of adaptive ODE solvers with global error control to fluid mechanics and nonlinear Kalman filtering.