Abstract:

Brief Biography of the Speaker: Prof. Temur Jangveladze graduated from Ivane Javakhishvili Tbilisi State University, Department of Applied Mathematics and Cybernetics in 1977. Post graduate study under supervision Prof. Andria Bitsadze. T. Jangveladze was Junior Researcher (1977-1983), Researcher (1983-1988), Senior Researcher (1988-1998), Leading Researcher (1998-present) at Ilia Vekua Institute of Applied Mathematics of Ivane Javakhishvili Tbilisi State University. Invited Assistant (1981-1984) and Invited Docent (1984-1988), Docent (1988-1998), Professor (1998-2009), Invited Professor (2009-present) at Ivane Javakhishvili Tbilisi State University. Professor at Ilia State University (2006-2010). Invited Professor (2001-2010), Professor (2010-present) at Caucasus University. Since 1977 till now read the lectures in Numerical Analysis, Numerical Solutions of Differential Equations, Nonlinear Partial Differential and Integro-differential Models, Mathematical Modeling and etc. In 1984 defended Ph.D. thesis in specialty "Computational Mathematics". In 1998 defended a thesis for a Doctor of Science (Habilitation) Degree in specialty "Theoretical Bases of Mathematical Modeling, Numerical Methods, Program Complexes". Field of his scientific interests is Differential and Integro-Differential Equations and Systems, Mathematical Modeling, Numerical Analysis, Nonlocal Boundary Value Problems and etc. The full list of publications comprises more than 110 scientific papers and text books. He is editor of journal “Reports of Enlarged Session of the Seminar of I.Vekua Institute of Applied Mathematics” and member of editorial board of several international scientific journals. Was the member of international program committee and the participant of many international scientific conferences. Prof. T. Jangveladze is a head of Department of Informatics of Tbilisi International Centre of Mathematics and Informatics (TICMI). Chair of the Enlarged Sessions of the Seminar of Ilia Vekua Institute of Applied Mathematics, Section of Ordinary and Partial Differential Equations and Optimal Control.