I am a Post Doctoral Research Associate at University of Utah , Dept. of Geology and Geophysics , Consortium for Electromagnetic Modeling and Inversion .
This is my resume page. For questions and comments please send e-mail to dapavlov@mines.utah.edu
Address:
University of Utah, Dept. of Geology and Geophysics, 717 WBB, Salt Lake City, Utah, 84112. Work phone: (801) 585-9723, fax: (801) 581-7065
Education:
M.V.Lomonosov Moscow State University, Moscow, Russia, Ph.D. in Physics and Mathematics (Speciality: Theotetical principles of Mathematical Modeling, Numerical Methods and Complexes of Programms), December 1994
Faculty of Computational Mathematics and Cybernetics, M.V.Lomonosov Moscow State University, Moscow, Russia, M.S. with Honours in Mathematics (Speciality: Applied Mathematics, Specialization: Applying of Computational Technique Tools), June 1991
Professional Career:
Consortium for Electromagnetic Modeling and Inversion, Department of Geology and Geophysics, University of Utah, SLC, USA, 1997-present (Post Doctoral Fellow).
Department of Mathematical Physics, Faculty of Computational Mathematics and Cybernetics, M.V.Lomonosov Moscow State University, Moscow, Russia, 1996 - 1997 (Assistant Professor)
Department of Mathematical Physics, Faculty of Computational Mathematics and Cybernetics, M.V.Lomonosov Moscow State University, Moscow, Russia, 1994 - 1996 (Research Assistant)
Teaching Experience:
M.V.Lomonosov Moscow State University, Moscow, Russia, 1994 - 1997 (Assistant Professor). Seminars in Mathematical Physics Methods, Ordinary Differential Equations, Computerpractice
M.V.Lomonosov Moscow State University, Moscow, Russia, 1991 - 1994 (Teaching Assistant). Seminars in Mathematical Analysis, Ordinary Differential Equations.
Professional Experience:
Qualitative and quantitative investigations of systems of linear and non-linear PDE as applied to the electromagnetic modeling in particular. Development and analysis of numerical methods for solution of time-dependent systems of differential and integral equations. In particular, finite-difference, finite elements and projection-difference methods. Solution of extremal problems for controlled time-dependent PDE-systems by gradient methods. Solution inverse problems for differential and integral equations.
Programming Skills: platforms - Sun, PC; operating systems - UNIX, MS Windows, DOS; languages - C/C++, Fortran, Pascal
Professional Interest:
Inverse problems. Integral equations. Application of Mathematical Modeling methods for interpretation of electromagnetic data for mining and oil & gas exploration.