John J. Hwalek
Associate Professor
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B.S. Clarkson College of
Technology, 1977 |
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M.S. University of Illinois,
1980 |
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Ph.D. University of Illinois,
1982 |
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Research Interests
Process
information systems • heat transfer
Dynamic Modeling Using Neural Networks
Dynamic models of chemical engineering operations are powerful tools which can be used
for control, optimization and simulation. Models of complex operations are difficult to
formulate particularly when the constitutive relationships (e.g., heat transfer
coefficients, kinetic rate equations, etc.) used in the model are not well known. Neural
networks have been used to model the dynamics of chemical engineering operations.
Typically, the neural network model replaces the first principles model. The neural
network in then trained using data for a specific system. The neural network model can not
be extended to other similar systems unless it is retrained. My research interest is in
exploring hybrid models in which neural networks replace only those parts of the first
principles model that are unknown (constitutive equations, physical property variation,
etc.) while retaining known relationships (material and energy balances, etc.). Of
primary interest is how to train the embedded neural network models and how to extended
them to similar systems.
Engineering Education
My other research interest in engineering pedagogy. In particular, I am interested in
three areas: integration of modern computing tools, integration of design across the
curriculum and the use of cooperative learning and teaming to enhance learning.
Modern computing tools (mathematical analysis programs, spreadsheets, dynamic
simulators, etc.) give students a powerful way to explore concepts and carry out design
calculations. I am investigating ways to integrate these tools into the curriculum that
allow students to focus on developing higher order learning skills instead of lower level
computations.
Engineering education is often criticized for waiting until late in the curriculum to
introduce design. The result of delaying the introduction of design is that students have
difficulties connecting the science and mathematics they learn early in the curriculum to
engineering problem solving. I have been developing and testing design experiences that
require students to apply the knowledge they have gained to solve engineering problems.
The major challenge is formulating problems that require analysis and synthesis but are at
a level appropriate to the students’ current knowledge and skill base.
Many research studies have shown the benefits of cooperative learning. Cooperative
learning can be implemented formally through team projects and informally in the classroom
or in study groups. My interest is to promote cooperative learning by educating students
about its advantages and instituting it through formal and informal methods.
Cutlip, Michael B., Hwalek, John J., Nuttall, H. Eric,
Shacham, Mordechai, Brule, Joseph, Widmann, John, Han, Tae, Finlayson, Bruce,
Rosen, Edward M., and Taylor, Ross, “A Collection of Ten Numerical Problems in
Chemical Engineering Solved by Various Mathematical Software Packages”, Computer
Applications in Engineering Education, Vol. 6, No. 3, 1998.
J. Hwalek, “The Use of Mathematical Software in Chemical
Engineering”, Chemical Engineering Summer School, Snowbird, Utah, August,
1997.
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