Prof. Ramaz Botchorishvili


  Professor Ramaz Botchorishvili is KIU Program Supervisor for Mathematics. Up to this point, he has had ample pleasure working as a researcher, a professor, and a dean at various academic institutions in Europe such as Ivane Javakhishvili Tbilisi State University (Georgia),  National Institute for Research in Digital Science and Technology  (France), Laboratory of Jacques Luis-Lions at University of Pierre and Marie Curie (France), Fraunhofer Institute of Algorithms and Scientific Computing (Germany), Institute of Energy and Climate Research at Forschungszentrum Juelich (Germany).

For over a decade Prof. Botchorishvili has served as the Dean of Faculty of Mechanics and Mathematics, and as the Dean of Faculty of Exact and Natural Sciences at Tbilisi State University. In this position, he has gained extensive experience in developing and managing bachelor’s, master’s, and doctoral programs.
On the whole, Prof. Botchorishvili is systematically creating new projects and acquiring grants to open up new opportunities for his students. He has been integral to initiating bachelor degree programs of University Paris 8 (France) and San Diego State University (United States) at TSU.

Moreover, he has helped establish SMART AtmoSim Laboratory of TSU and Forschungszentrum Juelich. Some of his other contributions include projects funded by Swiss National Science Foundation, Shota Rustaveli National Science Foundation, Volkswagen Foundation, Erasmus+, and TEMPUS.
Prof. Ramaz Botchorishvili received his Candidate of Science degree in 1989 and his Doctor of Science degree in 1996. He holds an award of Georgian Mathematical Union (1994), fellowship of the President of Georgia (1998), NATO Fellowship (1999), WSEAS F-and-B best paper award (2009), and Medal of Tbilisi State University (2016).

In line with his academic interests, Prof. Botchorishvili has held the position of Chair of Numerical Analysis and Computational Technologies at TSU. His current research interests reside in numerical partial differential equations for deep artificial neural networks and applications for environmental modeling.


Prof. Boris Vexler