Professor Anatoly Yagola

Permanent (and mailing) address: Vernadsky Avenue 18, Bld. 1B, Apt. 13, Moscow 119415,  Russia.

    Tel.: (7)(499) 7928374 (home). E-mail: yagola@physics.msu.ru

Education: graduated (University diploma in Physics, 1968) and Graduate School (1971) from Physical Faculty, Lomonosov Moscow State University. Ph.D.(Phys., Math.)(1971, Lomonosov Moscow State University), Doctor of Science (Physics and Mathematics) (1982, Moscow Lomonosov State University).

Publications (Google citations 5132; H-index: 25; H10-index: 72): author, coauthor of more than 450 publications, including 14 monographs, within mathematical physics, applied mathematics and education. See, e.g., monographs in English;

1) A.N.Tikhonov, A.V.Goncharsky, V.V.Stepanov, A.G.Yagola. Numerical methods for the solution of ill-posed problems. - Kluwer Academic Publishers, Dordrecht, 1995; Springer, 2013,  p. 1-253.

2) A.N.Tikhonov, A.S.Leonov, A.G.Yagola. Nonlinear ill-posed problems. V.1 - Chapman and Hall, London, 1998, p. 1-222.

3) A.N.Tikhonov, A.S.Leonov, A.G.Yagola. Nonlinear ill-posed problems. V.2 - Chapman and Hall, London, 1998, p. 223-387.

4) A.G.Yagola, I.V. Kochikov, G.M. Kuramshina, Yu.A. Pentin. Inverse problems of vibrational spectroscopy. – Utrecht, VSP, p. 1-298.

Main publications (2016-2020):

Monographs:

1. A.N. Tikhonov, A.S. Leonov, A.G. Yagola. Nonlinear ill-posed problems. – Moscow, KURS, 2017, 400 pp., ISBN 978-5-906923-36-3 (in Russian).

2. I.V. Kochikov, G.M. Kuramshina, Yu.A. Pentin, A.G. Yagola. Inverse problems of vibrational spectroscopy. – Moscow, KURS, 2017, 336 p., ISBN 978-5-906923-38-7 (in Russian).

Papers:

1. I.V. Kochikov, S.A. Sharapova, A.G. Yagola and A.V. Tikhonravov. Correlation of errors in inverse problems of optical coatings monitoring. – Journal of Inverse and Ill-Posed Problems, 2020, published online, pp. 1-7, DOI: 10.1515/jiip-2020-0079 (impact factor 0.926).

2. A.S. Leonov, A.N. Sharov, A.G. Yagola. Solution of the three-dimensional inverse elastography problem for parametric classes of inclusions. – Inverse Problems in Science and Engineering, 2020, published online, pp. 1-14 https://doi.org/10.1080/17415977.2020.1817006 (impact factor 1.314).

3. A. Tikhonravov, I. Kochikov, I. Matvienko, T. Isaev, A. Yagola. Strategies of Broadband Monitoring Aimed at Minimizing Deposition Errors. – Coatings,  2019, 9(12), 809; https://doi.org/10.3390/coatings9120809 (impact factor 2.436).

4. Y. Wang, L. Rong, L. Qiu, D. V. Lukyanenko, A.G. Yagola. Magnetic susceptibility inversion method with full tensor gradient data using low‐temperature SQUIDs. – Petroleum Science, 2019, v. 16, published online, pp. 1-14, https://doi.org/10.1007/s12182-019-0350-6 (impact factor 2.096).

5. A.A. Borzunov, V.Y Karaulov, N.A. Koshev, D.V. Lukyanenko, E.I. Rau, A.G. Yagola, S.V. Zaitsev. 3D surface topography imaging in SEM with improved backscattered electron detector: arrangement and reconstruction algorithm. – Ultramicroscopy, 2019, v. 207, published online, pp. 1-9,  https://doi.org/10.1016/j.ultramic.2019.112830 (impact factor 2.550).

6. M.V. Klibanov, A.G. Yagola. Convergent numerical methods for parabolic equations with reversed time via a new Carleman estimate. – Inverse Problems, 2019, published online https://doi.org/10.1088/1361-6420/ab2777 (impact factor 1.985).

7. A.S. Leonov, Y. Wang, A.G. Yagola. Piecewise uniform regularization for the inverse problem of microtomography with a-posteriori error estimate. – Inverse Problems in Science and Engineering, 2019, v. 27, pp. 1-11, https://doi.org/10.1080/17415977.2018.1561676 (impact factor 1.314).

8. A.V. Tikhonravov, I.V. Kochikov, and A.G. Yagola. Investigation of the error self-compensation effect associated with direct broad band monitoring of coating production. – Optics Express, 2018, v. 26, No 19, pp. 24964-24972. DOI: 10.1364/OE.26.024964 (impact factor 3.669).

9. A. Tikhonravov, I. Kochikov, T. Isaev, D. Lukyanenko and A. Yagola. On-line characterization algorithms for optical coating production with broad band monitoring. – Coatings, 2018, v. 8, № 323, pp. 1-11. DOI: 10.3390/ coatings8090323 (impact factor 2.436).

10. Y. Wang, D. Lukyanenko, A. Yagola. Magnetic parameters inversion method with full tensor gradient data. - Inverse Problems and Imaging, 2019, 13 (4), pp. 745-754. DOI: 10.3934/ipi.2019034 (impact factor 1.373).

11. A.V. Tikhonravov, I.V. Kochikov, and A.G. Yagola. Error self-compensation mechanism in the optical coating production with direct broad band monitoring. – Optics Express, 2017, v. 25, No 22, pp. 27225-27233 (impact factor 3.356).

12. A. Tikhonravov, I. Kochikov and A. Yagola. Mathematical investigation of the error self-compensation mechanism in optical coating technology. – Inverse Problems in Science and Engineering, 2017, online; 2018 v. 26, issue 86 pp. 1214-1229, DOI: 10.1080/17415977.2017.1395424 (impact factor 1.125).

13. Y. Zhang, D.V. Lukyanenko, A.G. Yagola. Using Lagrange principle for solving two-dimensional integral equation with a positive kernel. - Inverse Problems in Science and Engineering, 2016, v.24, issue 5, pp. 811-831, DOI: 10.1080/17415977.2015.1077445 (impact factor 1.314).

Topics of scientific research:  Ill-posed problems: theory, numerical methods and applications.

Present position: Professor, Department of Mathematics, Physical Faculty, Lomonosov Moscow State University, Moscow 119992, Russia.  Tel.: (7)(495)9391033. Fax: (7)(495)9328820. E-mail: yagola@physics.msu.ru

Previous positions (all of them at Department of Mathematics, Physical Faculty, Lomonosov Moscow State University, Moscow 119992, Russia):  Junior Researcher (1971-1975), Assistant (1975-1979), Associate Professor (1979-1986), Professor (from 1986).

Lecture courses: 1) Programming for computers; 2) Numerical methods; 3) Calculus; 4) Functions of complex variables; 5) Differential and integral equations, calculus of variations; 6) Methods of the mathematical physics; 7) Extremal problems; 8) Integral equations, calculus of variations; 9) Ill-posed problems; 10) Mathematical models in biology; 11) Inverse problems in geophysics; 12) Inverse problems in astronomy; 13) Introduction to the theory, numerical methods and applications of ill-posed problems.

Supervisor: 13 PhD and 1 DrSc dissertations. During last 5 years a scientific advisor of 7 PhD students.

Awards: State Award for Young Scientists, Soviet Union (1974); Lomonosov Award (Lomonosov Moscow State University, 1988); Russian State Scholarship (1997-2003); Soros Professor and/or Moscow government grant (2001, 2003, 2005); Honorary Medal “250th  Anniversary of the Moscow State University” (2005); Honorary Member of the Higher Education, Russian Federation (2005); Distinguished Professor of Lomonosov Moscow State University (2009); Award in Education of the Government of the Russian Federation (2012);  the Medal of the Order of Merit 'For Services to the Motherland', II class (2017).

Membership: 1) Numerical Methods and Programming, Member of the Editorial Board; 2) Inverse Problems in Science and Engineering, Member of the Advisory Board; 3) Physics of the Solid Earth, Member of the Editorial Board; 4) Journal of Inverse and Ill-Posed problems, Member of the Editorial Board;  5) Moscow University Physics Bulletin, Member of the Editorial Board; 6) Global Journal on Technology and Optimization, Member of the Advisory Board; 7) Academic Notes of the Physical Faculty, Moscow University, Member of the Editorial Board; 8) Eurasian Journal of Mathematical and Computer Applications, Member of the Editorial Board; 9) International Journal of Energy Optimization and Engineering Member of the Editorial Boar; 10) Mathematics in Higher Education, Member of the Editorial Board; 11) Computational Mathematics and Mathematical Physics, Member of the Editorial Board; 12) Science and Technologies: Mathematical Modelling. Computer Technologies, Member of the Editorial Board; 13) Member, Chair or Vice-Chair of Organizing or Program Committees of 40 international and All-Russian conferences on inverse and ill-posed problems (2016-2020 years)..

Projects manager (2014-2020):

1. Project RFBR 14-01-00182 «Locally extraoptimal methods for solving multidimensional ill-posed problems with discotinuous solutions» (2014-2016).

2. Project RFBR – NSCF (China) 10-01-91150 «Numerical optimization and regularization for the solution of ill-posed  geophysical inverse problems» (2010-2011).

3. Project RFBR – NSCF (China) 12-01-91153 «Forward Simulation of Magnetic Gradient Model and Optimization and Regularization for Magnetic Inversion» (2012-2013).

4. Project RFBR – NSCF (China) 14-01-91151 «Full Tensor Magnetic Gradient Data Simulation and Regularizing Inversion» (2014-2015).

5. Project RSF 16-11-10219 "Algorithms for solving inverse problem in monitoring of nanoscale optical coatings deposition" (2016-2018).

6. Project RFBR 17-01-00159  "Regularizing algorithms with globally and locally extra-optimal quality for solving multidimensional ill-posed problems" (2017-2019).

7. Project RFBR – NSCF (China) 17-51-53002  "Large scale scientific computing with applications to three-dimensional magnetic inversion and micro-CT imaging in shale structure" (2017-2018).

8. Project RFBR – NSCF (China) 19-51-53005  "Accelerated Nano-CT imaging with phase correction in shale structure analysis" (2019-2020).