Faculty & Staff Directory
- Director of the Industrial Immersion program
- PhD, Mathematics, Pennsylvania State University, 2005
- MS, Moscow State University, Russia, 2001
I am an interdisciplinary mathematician whose work is focused on applying mathematical theory to a wide range of applied problems. I serve as a Director of the Industrial Immersion program (http://math.gmu.edu/iip.php) and a Director of Graduate Studies for the Mathematics department.
My work lies at the interface between mathematics and other areas of science and engineering, such as materials science, chemistry and biology. I develop new predictive models and simulations for smart materials design and design fast data analysis algorithms in collaboration with interdisciplinary colleagues. My research is problem driven and utilizes a wide spectrum of mathematical tools from optimization, numerical analysis, stochastic processes, PDEs and statistics.
I teach a variety of courses ranging from undergraduate differential equations to advanced graduate courses on numerical analysis, linear algebra, data science and ODE.
J. Snider, I. Griva, X. Sun, M. Emelianenkoâ€Set-based framework for Gibbs energy minimizationâ€, CALPHAD,48 (2015), p. 18â€“26
K. Barmak, E. Eggeling, M. Emelianenko, Y. Epshteyn, D. Kinderlehrer, R. Sharp, S. Ta'asan "Critical events, entropy, and the grain boundary character distribution", Physical Review B, Vol. 83, 134117 (2011)
Q. Du, M. Emelianenko and L. Ju â€œConvergence properties of the Lloyd algorithm for computing the centroidal Voronoi tessellationsâ€, SIAM J. Numer. Anal.,44, Issue 1 (2006), p. 102â€“119
- PSU Graduate School Alumni Society Early Career Award, 2014
- Mason Emerging Researcher/Scholar/Creator Award, 2013
- NSF CAREER award, 2011
- ORAU Ralph E. Powe Junior Faculty Enhancement Award, 2009