Mark M. Meerschaert

East Lansing MI 48823

Mark M. Meerschaert
is a University Distinguished Professor in the Department of Statistics and
Probability at Michigan State
University. Meerschaert
has professional experience in the areas of probability,
statistics, statistical physics, mathematical modeling, operations
research, partial differential equations, and applications. He
started his professional career in 1979 as a systems analyst at
Vector Research, Inc. of

Click here for a short video clip about my research, originally shown at the Michigan State University Distinguished Professor ceremony on 2 Novermber 2017.

RECENT TALKS and PAPERS in PDF format:
Click below to download. Click here for a free
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- Anomalous diffusion and
turbulence, MURI Annual Review, Aberdeen Proving Ground,
Maryland, 4 December 2018 (with James F. Kelly, Department of
Statistics and Probability, Michigan State University; Mohsen
Zayernouri, Ehsan Kharazmi, Eduardo Moraes, and Mehdi Samiee,
Department of Computational Mathematics, Science, and
Engineering, Michigan State University; Anna Lischke, Guofei
Pang, Mamikon Gulian, Fangying Song, Xiaoning Zheng,
Zhiping Mao, Mark Ainsworth, and George Em Karniadakis, Division
of Applied Mathematics, Brown University; Christian Glusa,
Center for Computing Research, Sandia National Laboratory; Wei
Cai, Department of Mathematics, Southern Methodist University,
Dallas, TX; Svenja Lage and Peter Kern, Mathematical Institute,
Heinrich-Heine-University Düsseldorf, Germany).

- Fractional calculus and turbulence, ARO Fluid Dynamics Program Review, Research Triangle Park, North Carolina, August 2018 (with B. Baeumer, Maths & Stats, University of Otago, New Zealand; D. Benson, Geological Engineering, Colorado School of Mines; J. Kelly, Statistics and Probability, Michigan State University; M. Kovács, Chalmers U. Technology, Sweden; T. Luks, Mathematics, Uni. Paderborn, Germany; M.S. Phanikumar, Civil & Envir. Eng., Michigan State U; F. Sabzikar, Department of Statistics, Iowa State University; M. Samiee, Comput. Math. Sci. Eng., Michigan State U; H.-P. Scheffler, Math, Universität Siegen, Germany; R. Schumer, Hydrology, Desert Research Institute, Reno, Nevada; A. Sikorskii, Statistics and Probability, Michigan State U; C. Tadjeran, happily retired; S. W. Wheatcraft, Geological Sciences, U. Nevada, Reno; M. Zayernouri, Comput. Math. Sci. Eng., Michigan State U; A. Zeleke, Lyman Briggs College, Michigan State U; and Y. Zhang, Department of Geological Sciences, U. Alabama).

- Relaxation patterns and semi-Markov dynamics, Stochastic Processes and their Applications, to appear (with Bruno Toaldo, Department of Statistical Sciences, Sapienza - University of Rome).
- Semi-fractional diffusion equations, Fractional Calculus and Applied Analysis, to appear (with Svenja Lage and Peter Kern, Mathematical Institute, Heinrich-Heine-University Düsseldorf, Germany).
- Space-Time Duality and Fractional Hyperdiffusion , Physical Review E, to appear (with James F. Kelly, Department of Statistics and Probability, Michigan State University).
- What Is the
Fractional Laplacian? (with Anna Lischke, Guofei Pang,
Mamikon Gulian, Fangying Song, Xiaoning Zheng, Zhiping
Mao, Mark Ainsworth, and George Em Karniadakis, Division of
Applied Mathematics, Brown University; Christian Glusa, Center
for Computing Research, Sandia National Laboratory; and Wei Cai,
Department of Mathematics, Southern Methodist University,
Dallas, TX).

- Petrov-Galerkin Method for Fully Distributed-Order Fractional Partial Differential Equations (with Mohsen Zayernouri, Mehdi Samiee, and Ehsan Kharazmi, Department of Computational Mathematics, Science and Engineering, Michigan State University).
- The
fractional d'Alembert's formulas (with Cheng-Gang Li,
Department of Mathematics, Southwest Jiaotong University;
Miao Li, Department of Mathematics, Sichuan University; and
Sergey Piskarev, Science Research Computer Center, Lomonosov
Moscow State University).

- Boundary Conditions for Tempered Fractional Diffusion (with Anna Lischke, Division of Applied Mathematics, Brown University; and James F. Kelly, Department of Statistics and Probability, Michigan State University).
- An Integrated Sensitivity-Uncertainty Quantification Framework for Stochastic Phase-Field Modeling of Material Damage (with Eduardo A. Barros de Moraes and Mohsen Zayernouri, Department of Mechanical Engineering, Michigan State University).