BS, University of Rochester; MS, Ph.D., University of Pennsylvania
Dr. Steven Weinstein received his B.S. in Chemical Engineering from the University of Rochester and his MS and Ph.D. in Chemical Engineering from the University of Pennsylvania. He worked for Eastman Kodak Company for 18 years after receiving his Ph.D.. He is well published in the field of coating, and has focused on thin film flows, die manifold design, wave stability, curtain flows (flows in thin sheets of liquid), and web dynamics; he also has 7 patents in these areas. He co-authored a well-cited invited review article on Coating Flows in the prestigious Annual Reviews of Fluid Mechanics (2004, Vol. 36). Dr. Weinstein won the CEK Mees award for excellence in research and technical writing (1992; honorable mention 1998), the highest research award bestowed by Eastman Kodak Company, and was recipient of the Young Investigator Award from the International Society of Coating Science and Technology in 2000. He has served on the board of directors of this society since 2004. While at Kodak, Dr. Weinstein was also an Adjunct Professor of Chemical Engineering at the University of Rochester, an Adjunct Professor of Mechanical Engineering at the Rochester Institute of Technology (RIT), and an Adjunct Professor of Chemical and Biomolecular Engineering at Cornell University.
Dr. Weinstein joined the faculty of the Department of Mechanical Engineering at Rochester Institute of Technology (RIT) in January of 2007, and along with teaching graduate and undergraduate courses in fluid mechanics and applied math, founded the Department of Chemical Engineering Weinstein in fall of 2008, and served as the department head until summer of 2023. In addition to serving on a variety of college and university committees, he has taught chemical engineering courses on material balances in reactive systems, fluid dynamics, chemical thermodynamics, reactor design, separation processes, and applied mathematics. Dr. Weinstein also serves as a core faculty member in the Mathematical Modeling Ph.D. Program at RIT. He maintains his adjunct position at Cornell University, providing guest course lectures and performing research with collaborators there.
Dr. Weinstein's current research areas are varied, collaborative, and often theoretical, although much of his recent work involves experimental coating applications. One recent theoretical focus is the examination of instabilities in spatially developing flows; this work is motivated by a need to control such flows in a variety of manufacturing processes with exacting tolerances that are disrupted by small disturbances. His work has examined long-time algebraic growth/decay in linear systems, a type of instability that has been largely unexamined in the prior literature, as well as the response of continually-forced absolutely and convectively unstable fluid systems. He has also recently co-developed the technique of asymptotic approximates that has been applied to a variety of problems in mathematical physics; asymptotic approximates are a new and highly powerful analysis technique that couples divergent series expansions about a given point, often with few terms, with an asymptotic behavior away from this point to obtain highly accurate analytical equations.
For more details on these research areas, see the Barlow/Weinstein Asumptotics and Wave Instability Group.
Other theoretical areas in which he has focused via his collaborations are mapping techniques for ensemble averaging in statistical mechanics, coating die manifold design for shear thinning fluids, analysis of thermoelectric systems, adsorption of organic molecules on carbon nanotubes, oxygen diffusion into titanium dioxide nanotubes. Dr. Weinstein has focused his experimental work on liquid curtain flows, and also on the benchtop scaleup of novel fluids to enable roll-to-roll coating.
In the News
May 28, 2020
RIT scientists develop method to help epidemiologists map spread of COVID-19
Nathaniel Barlow, associate professor in RIT’s School of Mathematical Sciences, and Steven Weinstein, head of RIT’s Department of Chemical Engineering, outline a solution to the SIR epidemic model, which is commonly used to predict how many people are susceptible to, infected by, and recovered from viral epidemics, in a study published in Physica D: Nonlinear Phenomena.