Transcript Document

SIAM/IMA Special Workshop
Careers and Opportunities in Industry for
Mathematical Scientists
Notes on posed questions
Emmanuel M. Tsimis, Ph. D.
Free Form Modeling Dpt.
SIEMENS PLM
(just retired on Feb 07, 2014)
April 7-9, 2014
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Academia vs Industry: my case
• 1977 Ph. D., Applied Mathematics, SUNY at Stony Brook.
• 1977-1981 Tenure track Assistant Professor of Mathematics
Wayne State University, Detroit, Michigan.
• 1983-2014 CAD development for GM –> EDS –> SIEMENS.
Left Academia due to:
– Did not get tenure.
– Family constraints
• Feb 2014 Retired.
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Mathematicians in the industrial world
Often an industry may face pressing technical problems, they cannot
solve internally.
Moreover, when no established field of knowledge exists to solve a
technical problem, mathematicians are called in.
Examples:
• At my time, 1983, that was data exchange between CAD systems.
• Wall street, early ‘80s: Financial Engineering did not exist to
handle the new financial instruments. So, mathematicians were
called in to establish the new field, and some became billionaires!
• Early ‘90, biology needed the modeling of protein molecules and
more. Mathematicians left the money poor at the time,
manufacturing sector to serve the rich biological research.
That is why they are respected by management and coworkers.
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What can under-graduate and graduate school in
Math and Engineering sciences do differently in order
to prepare students for an industry experience? Any
specific courses?
They do a great job, already!
Two minor suggestions:
- Bring back Differential Geometry into the basic requirements.
- Teach students, to some abstraction, the concepts:
- Constrained optimization.
- Ill-posed vs well posed problems and regularization methods.
- Sensitivity analysis of a Math Model with respect to a parameter.
- The gradually being established Computational Science and
Engineering, (CSE), as an approach to Applied Mathematics, is promising.
The SIAM NEWS magazine of SIAM is a good source.
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Can middle and high schools do anything different to
interest kids (especially girls) in math?
Computational Science and Engineering can be
taught with simple mathematical models, which
high school students can handle. For example,
linear systems.
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In a hypothetical situation where I got to go back to
my alma mater, what courses would I take?
• Differential Geometry (possibly with a modern
approach).
• Functional Analysis
• Approximation Theory
• Numerical Analysis
• Differential Equations, (ODE and PDE).
• Constrained optimization, (Calculus of variation)
• Object oriented computer programming.
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Ensuring a smooth transition between academia
and industry – what makes this successful?
• Success requires an established continuous
engagement between the two. Chief
Technologists of industrial establishments should
be assigned that role.
• Was personally involved in two small scale
successful projects. Yes, it took time to supervise
the projects, but that was worthy.
• There are academic departments, which deliver
close to production solutions to problems.
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What are the makings of a “good scientist” or
“good mathematician” in your organization?
Projects involve:
• User Interface Design,
• Data Base Design,
• ‘Math’, (established term including all except the above).
For the first two parts a B.S. degree in Computer Science
suffice.
For the ‘Math’ part Ph. D. or M.S. is required, mostly from:
Mathematics, Engineering, Computer Science, with
• Strong Mathematics background,
• Representation of curves/surfaces in NURBS/Subdivision.
• Knowledge of an object oriented computer language (C++).
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As a potential interviewer of industry
candidates, what qualities I would value highly
in an interview, apart from strength in technical
area and communication?
- Integrity of character.
- Cooperation with coworkers in a project,
(Work is done under strict project
management process).
- Adoptive, (projects change almost every year).
- Confidence in himself and his work.
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Work satisfaction: Sisyphus paradigm
Life is a pleasant game
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