About Me
Michael Siegel joined the NJIT faculty as an Assistant Professor of Mathematics in 1995, advanced to the rank of Associate Professor in 1998, and on to Professor of Mathematics in 2005. He was also Associate Director and Director of NJIT’s Center for Applied Mathematics and Statistics (CAMS) for 13 years. He is currently the Associate Director for Graduate Studies in the Department of Mathematical Sciences. He is also the university Faculty Athletics Representative (FAR).
Siegel earned his BS in Physics and in Mathematics from Duke University in 1984, and later earned PhD in Mathematics (1989) from New York University’s Courant Institute of Mathematical Sciences. He was also a graduate student in the PhD Program in Physics at Massachusetts Institute of Technology in 1986-87.
In addition to his posts at NJIT, he has been a visiting researcher at the Courant Institute of Mathematical Sciences at NYU and at Oxford University. He had an appointment as Wallenberg Guest Professor at KTH, Stockholm in 2015-2016. Prior to NJIT, he held a National Science Foundation (NSF) Postdoctoral Fellowship and was a Postdoctoral Research Fellow at Ohio State University. He also served as van Karman Instructor in Applied Mathematics at the California Institute of Technology from 1989 to 1991.
Siegel served on the editorial board of the SIAM Journal of Applied Math for nine years. He currently is an Associate Editor for the Journal of Engineering Mathematics.
Siegel has worked with multiple grants, including being a PI or Co-PI on over 20 grants from the NSF since 1996. His research is focused on the analysis and numerical computation of moving boundary problems that arise in fluid mechanics, materials science, and biology. He is the recipient of the NJIT CSLA Excellence in Research Award.
Siegel earned his BS in Physics and in Mathematics from Duke University in 1984, and later earned PhD in Mathematics (1989) from New York University’s Courant Institute of Mathematical Sciences. He was also a graduate student in the PhD Program in Physics at Massachusetts Institute of Technology in 1986-87.
In addition to his posts at NJIT, he has been a visiting researcher at the Courant Institute of Mathematical Sciences at NYU and at Oxford University. He had an appointment as Wallenberg Guest Professor at KTH, Stockholm in 2015-2016. Prior to NJIT, he held a National Science Foundation (NSF) Postdoctoral Fellowship and was a Postdoctoral Research Fellow at Ohio State University. He also served as van Karman Instructor in Applied Mathematics at the California Institute of Technology from 1989 to 1991.
Siegel served on the editorial board of the SIAM Journal of Applied Math for nine years. He currently is an Associate Editor for the Journal of Engineering Mathematics.
Siegel has worked with multiple grants, including being a PI or Co-PI on over 20 grants from the NSF since 1996. His research is focused on the analysis and numerical computation of moving boundary problems that arise in fluid mechanics, materials science, and biology. He is the recipient of the NJIT CSLA Excellence in Research Award.
Education
Ph.D.; New York University; 1989
B.S.; Duke University; 1984
2026 Fall Courses
MATH 725 - INDEPENDENT STUDY I
MATH 792B - PRE DOCTORAL RESEARCH
MATH 337 - LINEAR ALGEBRA- HONORS
MATH 790A - DOCT DISSERTATION & RES
Past Courses
Research Interests
- Applied mathematics, analysis, and scientific computation for nonlinear PDE's and integro-differential equations, especially as a model for free and moving boundary problems in fluid dynamics.
- Moving boundary problems in materials science and biology
- Well-posedness theory and singularity formation
- Numerical analysis
- Moving boundary problems in materials science and biology
- Well-posedness theory and singularity formation
- Numerical analysis
In Progress
Analysis and computations of moving boundary problems
Michael Siegel's research is primarily on the mathematical analysis and numerical computation of moving boundary problems in fluid dynamics, materials science, and biology. He is developing new boundary integral algorithms for the fast and accurate numerical computation of moving boundaries. This includes multiscale methods for the computation of interfacial flow with surfactant, and electrokinetic flow. He has also developed well-posedness theory for moving boundary problems, and investigated singularity formation.
Michael Siegel's research is primarily on the mathematical analysis and numerical computation of moving boundary problems in fluid dynamics, materials science, and biology. He is developing new boundary integral algorithms for the fast and accurate numerical computation of moving boundaries. This includes multiscale methods for the computation of interfacial flow with surfactant, and electrokinetic flow. He has also developed well-posedness theory for moving boundary problems, and investigated singularity formation.
Journal Article
Conference Abstract
Technical Report
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