October 22, 2009

 

Sergey V. Lototsky

Department of Mathematics
University of Southern California
3620 S. Vermont Avenue, KAP 108
Los Angeles, CA 90089-2532
tel.: 213--740-2389, fax: 213--740-2424,
e-mail: lototsky (at) usc (dot) edu

CURRENT POSITION: Professor, Department of Mathematics , University of Southern California, Los Angeles, CA.

PREVIOUS POSITIONS AND APPOINTMENTS:

VISITING POSITIONS:

EDUCATION:

AWARDS

RESEARCH INTERESTS:

TEACHING

PROFESSIONAL SERVICES

UNIVERSITY SERVICES, USC

OTHER SERVICES

GRADUATE STUDENTS SUPERVISED:

INVITED CONFERENCE TALKS

  1. Workshop on Filtering, Center for Research in Scientific Computing, NC State University, December 1996.
  2. Workshop on Stochastic Partial Differential Equations, MSRI, September 1997.
  3. Conference "Stochastic Control and Filtering", USC, December 1997.
  4. Workshop on Filtering, Center for Mathematical Sciences, UW Madison, July 2000.
  5. Workshop "Stochastic Partial Differential Equations: Statistical Issues and Applications", University of Copenhagen, January 2001.
  6. Workshop on Stochastic Partial Differential Equations, University of Warwick, UK, July 2001.
  7. Twelfth International Colloquium on Differential Equations, Plovdiv Technical University, Bulgaria, August 2001.
  8. Southern California Probability Symposium, UCI, November 2001.
  9. International Conference "Stochastic Partial Differential Equations and Applications - VI", Levico Terme (Trento), Italy, January 2002.
  10. First Joint AMS/UMI Meeting, Section "Kolmogorov Equation", Pisa, Italy, June 2002.
  11. Fifteenth International Symposium on Mathematical Theory of Networks and Systems (MTNS 2002), Section "Stochastic Control and its Applications", University of Notre Dame, August 2002.
  12. Workshop on SPDEs and Related Topics, University of Warwick, UK, August 2003.
  13. 4-th Southern California Applied Mathematics Symposium, Claremont, April 2004.
  14. International Workshop on Nonlinear Dynamics and Stochastic Partial Differential Equations, Beijing, China, May 2004.
  15. SPA (Stochastic Processes and Applications), UCSB, June 2005.
  16. Conference on Differential and Difference Equations and Applications, Florida Tech., August 2005.
  17. SPDE Workshop, Brown University, October 2006.
  18. SAPS VI, University du Maine, March 2007.
  19. SPDE workshop, Cornell University, April 2007.
  20. Large Deviations Conference, University of Michigan, June 2007.
  21. SPDE Workshop, Institut Mittag-Leffler, September 2007.
  22. Workshop on applications of SPDEs, Institut Mittag-Leffler, November 2007.
  23. International Conference "Stochastic Partial Differential Equations and Applications - VIII", Levico Terme (Trento), Italy, January 2008.
  24. SIAM Annual Meeting 2008, MS 97, July 2008.
  25. SAPS VII, University du Maine, March 2009.
  26. International Conference on Random Dynamical Systems, Chern Institute of Mathematics, Tianjin, China, June 2009.
  27. Workshop on Stochastic Multiscale Methods, USC, August 2009.
  28. AMS Meeting No. 1051, special session on SPDEs, Baylor University, Waco, TX, October 2009.

SEMINAR TALKS

  1. Probability seminar, University of Minnesota, April 1997.
  2. Probability seminar, North-Eastern University, April 1998.
  3. Probability and Statistics seminar, Michigan State University, June 1998.
  4. PDE/Analysis seminar, MIT, April 1999.
  5. Center for Mathematical Sciences seminar, University of Wisconsin, Madison, June 1999.
  6. Numerical Stochastics seminar, USC, August 1999.
  7. Applied Mathematics seminar, Tel-Aviv University, December 2000.
  8. Probability seminar, UCI, January 2001.
  9. Probability seminar, NC State University, May 2001.
  10. Statistics Colloquium, UNC Chapel Hill, May 2001.
  11. Statistics Colloquium, Purdue University, October 2001.
  12. Analysis Seminar, USC, October 2001.
  13. Probability and Stochastic Processes Seminar, Technion - Israel Institute of Technology: December 2001, December 2007.
  14. Special Probability and Stochastic Processes Seminar, Technion - Israel Institute of Technology, December 2001.
  15. Probability and Statistics seminar, USC, November 2002.
  16. Mathematics Colloquium, CSULB, March 2003.
  17. Seminar on stochastic processes, informal session, University of Washington, March 2003.
  18. Scientific Systems Company, Inc., Woburn, MA: April 2004, April 2007.
  19. Finance and Stochastics Seminar, Boston University, April 2004.
  20. Statistics/Probability Seminar, UC Santa Barbara, October 2004.
  21. Colloquium, Department of Mathematical Sciences, WPI, January 2005.
  22. Colloquium, Department of Statistics, University of Michigan, November 2005.
  23. Stanford Probability Seminar, January 2007.
  24. Optimization Seminar, CU Denver, January 2007.
  25. Probability and Statistics Seminar, Wayne State University, February 2007.
  26. Stochastic Systems Seminar, Brown University, March 2007.
  27. Probability Seminar, University Paris VI, March 2007.
  28. Joint Applied Mathematics/Probability Seminar, Wayne State University, June 2007.
  29. The Mittag-Leffler Seminar, Institut Mittag-Leffler, September 2007.
  30. Financial Mathematics Seminar, Uppsala University, November 2007.
  31. Stochastics Seminar, Georgia Institute of Technology, March 2008.
  32. Applied Mathematics Colloquium, Illinois Institute of Technology, March 2009.
  33. Special Seminar, Huazhong University of Science and Technology, Wuhan, China, June 2009.
  34. Special Lecture, South-Central University for Nationalities, Wuhan, China, June 2009.

EDITORIAL ACTIVITIES

  1. V. Kaloshin, S. Lototsky, and M. Roekner, Editors. Stochastic Dynamics in Finite and Infinite Dimensions: Theory and Applications. A special issue of the journal Discrete and Continuous Dynamical Systems, Series B, Vol. 6, No. 4, July 2006.
  2. P. Baxendale and S. Lototsky, Editors. Stochastic Differential Equations: Theory and Applications. A volume in honor of Professor B. L. Rozovskii. Volume 2 of the series ``Interdisciplinary Mathematical Sciences''. World Scientific, 2007.

BOOKS

  1. E. K. Blum and S. V. Lototsky. Mathematics of Physics and Engineering. World Scientific, 2006. At Amazon.com
    At Barnes and Noble

PUBLICATIONS IN REFEREED JOURNALS AND VOLUMES

  1. R. Sh. Liptser and S. V. Lototsky. Diffusion Approximation and Robust Kalman Filter, Journal of Mathematical Systems, Estimation and Control, Vol. 2, No. 3, pp. 263-274, 1992.
  2. O. V. Gulinskii, R. Sh. Liptser, and S. V. Lototsky. Large Deviations for Unbounded Additive Functionals of Markov Processes with Discrete Time (non-compact case), Journal of Applied Mathematics and Stochastic Analysis, Vol. 7, No. 3, pp. 423-436, 1994.
  3. S. V. Lototsky. Robust Algorithms of the Type of Stochastic Approximation (continuous time), Teoriya Veroyatnostei i ee Primeneninya. (Russian), Vol. 40, No. 2, pp. 324-346, 1995. English translation: Theory of Probability and its Applications (SIAM translation of the Russian journal), Vol. 40, No. 2, pp. 309-328, 1996.
  4. S. V. Lototsky, C. Rao, and B. L. Rozovskii. Fast Nonlinear Filter for Continuous-Discrete Time Multiple Models, Proceedings of the 35th IEEE Conference on Decision and Control, Kobe, Japan, Dec. 11-13, 1996, Vol. 4, pp. 4071-4076, Omnipress, Madison, WI.
  5. S. V. Lototsky, R. Mikulevicius, and B. L. Rozovskii. Nonlinear Filtering Revisited: a Spectral Approach, II, Proceedings of the 35th IEEE Conference on Decision and Control, Kobe, Japan, Dec. 11-13, 1996, Vol. 4, pp. 4060-4064, Omnipress, Madison, WI.
  6. S. V. Lototsky, R. Mikulevicius, and B. L. Rozovskii. Nonlinear Filtering Revisited: a Spectral Approach , SIAM Journal on Control and Optimization, Vol. 35, No. 2, pp. 435-461, March 1997.
  7. S. V. Lototsky and B. L. Rozovskii. Recursive Multiple Wiener Integral Expansion for Nonlinear Filtering of Diffusion Processes . In: J. A. Goldstein, N. E. Gretsky, and J. J. Uhl (editors), Stochastic Processes and Functional Analysis, pp. 199-208. Lecture notes in pure and applied mathematics, Vol. 186, Marcel Dekker, Inc., 1997.
  8. M. Huebner, S. V. Lototsky, and B. L. Rozovskii. Asymptotic Properties of an Approximate Maximum Likelihood Estimator for Stochastic PDEs. In: Yu. M. Kabanov, B. L. Rozovskii, and A. N. Shiryaev (editors), Statistics and Control of Stochastic Processes (the Liptser festschrift), pp. 139-155. World Scientific, 1997.
  9. S. V. Lototsky and B. L. Rozovskii. Recursive Nonlinear Filter for a Continuous - Discrete Time Model: Separation of Parameters and Observations, IEEE Transactions on Automatic Control, Vol. 43, No. 8, pp. 1154-1158, August 1998.
  10. N. V. Krylov and S. V. Lototsky. A Sobolev Space Theory of SPDEs with Constant Coefficients on a Half Line. SIAM Journal on Mathematical Analysis. Vol. 30, No. 2, pp. 298-325, March 1999.
  11. S. V. Lototsky and B. L. Rozovskii. Spectral Asymptotics of Some Functionals Arising in Statistical Inference for SPDEs. Stochastic Processes and Their Application, Vol. 79, No. 1, pp. 69-94, 1999.
  12. N. V. Krylov and S. V. Lototsky. A Sobolev Space Theory of SPDEs with Constant Coefficients in a Half Space. SIAM Journal on Mathematical Analysis, Vol. 31, No. 1, pp. 19-33, 2000.
  13. S. V. Lototsky. Dirichlet Problem for Stochastic Parabolic Equations in Smooth Domains. Stochastics and Stochastics Reports, Vol. 68, No. 1-2, pp. 145-175, 2000.
  14. M. Huebner and S. V. Lototsky. Asymptotic Analysis of the Sieve Estimator for a Class of Parabolic SPDEs. Scandinavian Journal of Statistics, Vol. 27, No. 2, pp. 353-370, 2000.
  15. S. V. Lototsky and B. L. Rozovskii. Parameter Estimation for Stochastic Evolution Equations with Non-commuting Operators. In: V. Korolyuk, N. Portenko, and H. Syta (editors), Skorokhod's Ideas in Probability Theory, pp. 271-280. Institute of Mathematics of the National Academy of Sciences of Ukraine, Kiev, Ukraine, 2000.
  16. S. V. Lototsky. Sobolev Spaces with Weights in Domains and Boundary Value problems for Degenerate Elliptic Equations. Methods and Applications of Analysis, Vol.7, No. 1, pp. 195-204, 2000.
  17. M. Huebner and S. V. Lototsky. Asymptotic Analysis of a Kernel Estimator for Parabolic SPDEs with Time-Dependent Coefficients. Annals of Applied Probability, Vol. 10, No. 4, pp. 1-13, 2000.
  18. S. V. Lototsky. Linear Stochastic Parabolic Equations, Degenerating at the Boundary. Electronic Journal of Probability, Vol. 6, paper number 24, 2001.
  19. S. V. Lototsky. Small perturbation of stochastic parabolic equations: a power series analysis . Journal of Functional Analysis, Vol. 193, No. 1, pp. 94-115, 2002.
  20. S. V. Lototsky. Parameter Estimation for Stochastic Parabolic Equations: Asymptotic Properties of a Two-Dimensional Projection Based Estimator. Statistical Inference for Stochastic Processes, Vol. 6, No. 1, pp. 65-87, 2003. Also available on the journal web site.
  21. S. V. Lototsky. Nonlinear Filtering of Diffusion Processes in Correlated Noise: Analysis by Separation of Variables. Applied Mathematics and Optimization, Vol. 47, No. 2, pp. 167-194, 2003. Also, posted on the journal web site and the archive site.
  22. S. V. Lototsky. Optimal Filtering of Stochastic Parabolic Equations. In: S. Albeverio, Z-M. Ma, and M. Roeckner (editors), Recent Developments in Stochastic Analysis and Related Topics (Proceedings of the First Sino-German Conference on Stochastic Analysis), pp. 330-353, World Scientific, 2004.
  23. S. V. Lototsky and B. L. Rozovskii. Passive Scalar Equation in a Turbulent Incompressible Gaussian Velocity Field. Russian Mathematical Surveys, Vol. 59, No. 2, pp. 297-312, 2004. See also the journal web page
  24. S. V. Lototsky and B. L. Rozovskii. Stochastic Differential Equations: A Wiener Chaos Approach. In: Yu. Kabanov, R. Liptser, and J. Stoyanov (editors), From Stochastic Calculus to Mathematical Finance: The Shiryaev Festschrift, pp. 433-507, Springer, 2006.
  25. S. V. Lototsky and B. L. Rozovskii. Wiener Chaos Solutions of Linear Stochastic Evolution Equations. Annals of Probability, Vol. 34, No. 2, pp. 638-662, 2006. See also the journal web page.
  26. S. V. Lototsky. Wiener Chaos and Nonlinear Filtering. Applied Mathematics and Optimization, Vol. 54, No. 3, pp. 265-291, 2006. On-line (on the official journal web page).
  27. S. V. Lototsky. A Random Change of Variables and Applications to the Stochastic Porous Medium Equation with Multiplicative Time Noise. Communications on Stochastic Analysis, Vol. 1, No. 3, pp. 343-355, 2007.
  28. S. V. Lototsky and B. L. Rozovskii. Stochastic Parabolic Equations of Full Second Order. IMA Vol. 145, pp. 199-210, 2007.
  29. S. V. Lototsky and K. Stemmann. Solving SPDEs Driven by Colored Noise: a Chaos Approach. Quarterly of Applied Mathematics, Vol. 66, No. 3, pp. 499-520, 2008. Arxive Journal
  30. S. V. Lototsky. Statistical Inference for Stochastic Parabolic Equations: A Spectral Approach. Publ. Mat. (Publicacions Matematiques), Vol. 53, No. 1, pp. 3–45, 2009.
  31. S. V. Lototsky and K. Stemmann. Stochastic Integrals and Evolution Equations with Gaussian Random Fields. Applied Mathematics and Optimization, Vol. 59, No. 2, pp. 203-232, 2009.
  32. Ig. Cialenco, S. V. Lototsky, and Jan Pospisil. Asymptotic Properties of the Maximum Likelihood Estimator for Stochastic Parabolic Equations with Additive Fractional Brownian Motion. Stochastics and Dynamics, Vol. 9, No. 2, pp. 169-185, 2009.
  33. S. V. Lototsky and B. L. Rozovskii. Stochastic Differential Equations Driven by Purely Spatial Noise. SIAM J Math. Anal., Vol. 41, No. 4, pp. 1295-1322, 2009.
  34. Ig. Cialenco and S. V. Lototsky. Parameter Estimation in Diagonalizable Bilinear Stochastic Parabolic Equations. Statistical Inference for Stochastic Processes, to appear.
  35. S. V. Lototsky and B. L. Rozovskii. A Unified Approach to Stochastic Evolution Equations Using the Skorokhod Integral. Theory of Probability and its Applications, to appear.

OTHER PUBLICATIONS

  1. S. V. Lototsky. Problems in Statistics of Stochastic Differential Equations, Ph.D. thesis, University of Southern California, Los Angeles, CA 90089, Aug. 1996.
  2. C. P. Fung and S. Lototsky. Nonlinear Filtering: Separation of Parameters and Observations Using Galerkin Approximation and Wiener Chaos Decomposition, IMA Preprint Series # 1458, February 1997.
  3. S. Lototsky. Parameter Estimation for Stochastic Parabolic Equations: Asymptotic Properties of a Two-Dimensional Projection Based Estimate. IMA Preprint Series # 1486, June 1997.
  4. S. V. Lototsky and B. L. Rozovskii. Time Evolution of a Passive Scalar in a Turbulent Incompressible Gaussian Velocity Field. July 2003.
  5. S. V. Lototsky and K. Stemmann. From Random Processes to Generalized Fields: A Unified Approach to Stochastic Integration. October 2007.
  6. W. Liu and S. V. Lototsky. Estimating Speed and Damping in the Stochastic Wave Equation. October 2008.
  7. W. Liu and S. V. Lototsky. Parameter Estimation in Diagonalizable Stochastic Hyperbolic Equations. June 2009.