Michael Cromer Headshot

Michael Cromer

Associate Professor

School of Mathematics and Statistics
College of Science

585-475-4078
Office Hours
In person: M 12-1, T 9-12 Zoom: F 8-9 & 2-3
Office Location

Michael Cromer

Associate Professor

School of Mathematics and Statistics
College of Science

Education

BS, York College of Pennsylvania; MS, Ph.D., University of Delaware

Bio

Dr. Cromer received his B.S. in Mathematics from York College of Pennsylvania in 2005, and his Ph.D. in Applied Mathematics from the University of Delaware in 2011. During his time in Delaware, he spent several months at the Institute for Mathematics and its Applications at the University of Minnesota during a special semester on complex fluids, and was awarded the University Dissertation Fellowship. Upon graduation, he was a postdoctoral scholar in Chemical Engineering and the Materials Research Lab at the University of California, Santa Barbara 2011-2013. In 2013, he was awarded a National Research Council Research Associateship and spent the following year conducting research at the National Institute of Standards and Technology. He began teaching at Rochester Institute of Technology (RIT) in 2014. His research focuses on the modeling, analysis, and simulation of complex fluids. He is interested in a wide range of materials (e.g., wormlike micellar solutions, polymer solutions, and colloidal dispersions), which have a wide range of applications (e.g., oil recovery, soft body armor, materials processing).

585-475-4078

Areas of Expertise

Select Scholarship

Journal Paper
Wojcik, Brian, et al. "The Role of Elasticity in the Vortex Formation in Polymeric Flow around a Sharp Bend." Applied Sciences 11. 14 (2021): 6588. Web.
Kalb, Arthur, Larry A. Villasmil, and Michael Cromer. "Elastic Instability and Secondary Flow in Cross-Slot Flow of Wormlike Micellar Solutions." Journal of Non-Newtonian Fluid Mechanics 262. (2018): 79-91. Web.
Cromer, Michael, Glenn H. Fredrickson, and L. Gary Leal. "Concentration Fluctuations in Polymer Solutions Under Mixed Flow." Journal of Rheology 6. 14 (2017): 711-730. Print.
Kalb, Arthur, et al. "Role of Chain Scission in Cross-Slot Flow of Wormlike Micellar Solutions." Physical Review Fluids 2. (2017): 1-10. Print.
Cromer, M. and L. P. Cook. "A Study of Pressure-Driven Flow of Wormlike Micellar Solutions through a Converging/Diverging Channel." Journal of Rheology 60. (2016): 953-972. Web.
Peterson, J. D., et al. "Shear Banding Predictions for the Two-Fluid Rolie-Poly Model." Journal of Rheology 60. (2016): 927-951. Web.

Currently Teaching

MATH-181
4 Credits
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals.
MATH-233
4 Credits
This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise.
MATH-495
1 - 3 Credits
This course is a faculty-directed project that could be considered original in nature. The level of work is appropriate for students in their final two years of undergraduate study.
MATH-498
1 - 3 Credits
This course is a faculty-guided investigation into appropriate topics that are not part of the curriculum.
MATH-790
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
MATH-791
0 Credits
Continuation of Thesis
MATH-799
1 - 3 Credits
Independent Study

In the News

  • June 1, 2021

    screenshot of 19 people on a Zoom videoconference call.

    RIT seniors use mathematical modeling to explore COVID-19 questions for policymakers

    Mathematical modeling has been a powerful tool for policymakers grappling with COVID-19 to help predict how targeted actions can impact the rates of infections, minimize the risk of exposures, increase recovery rates, and much more. Fifteen seniors who took the Senior Capstone in Math course this spring put their modeling skills to the test to help officials evaluate past policies and predict future outcomes.