Engineering and Industrial Applied Mathematics Clinic


Overview

  Embracing the Mathematics Clinics at CGU and at the highly regarded undergraduate Claremont Colleges, the Claremont Mathematics Clinic has proven to be an effective "two-way street" between applied mathematicians at the colleges and scientists and mathematicians in industry or government laboratories in need of amplified mathematical experience.

In the 170-plus year-long projects that have been completed by Clinic teams over the last two decades, students and faculty have gained an opportunity to apply their mathematical skills to an impressive variety of real-world, current problems. Client scientists and engineers who propose projects benefit from useful, relevant solutions. Recent projects led to two patents and a computational model that outperforms the current industry standard.

     

Goals

  Mathematics Clinic goals are to:

provide students with experience for a career in industry
 or government

provide students with experience far beyond normal
 university training

sustain a curriculum attuned to real-world applications

foster an ongoing dialog between faculty and scientists,
 bring industrial trends to campus, and alert industry to
 new techniques developed in academia

allow business and industry to draw upon the intellectual
 and physical resources of The Claremont Colleges

develop specific projects to be addressed by joint teams of
 faculty members, students, and industry

     

Description

  Clinic teams address problems of sufficient magnitude and complexity that their analysis, solution and exposition require substantial effort over the course of an academic year or full-time involvement over a summer. If problems require expertise from disciplines other than mathematics--such as engineering, physics or economics--advanced undergraduate or graduate students from these disciplines may join the Clinic team. The Mathematics Clinic works closely with its counterpart, the Engineering Clinic at Harvey Mudd College.

The creative resources of the Mathematics Clinic often far exceed those normally available even to a fairly large organization.

The Claremont Colleges' mathematics programs stress creative thinking. This means that students and faculty members are exceptionally well equipped to address problems. Many faculty members have considerable background in industry.

The Clinic includes specialists actively engaged in research in nearly all phases of applied mathematics, with established reputations in areas such as mathematical modeling of physical and economic systems; differential and integral equations; numerical analysis; Monte Carlo methods; operations research; scheduling; mathematical programming and optimization; probability theory; applied statistics; and computer science.

Recognizing the value of the Mathematics Clinic, the National Science Foundation has provided two major grants: one to develop the Clinic, and the other to bring new mathematicians to Claremont. To date, 52 post-doctoral mathematicians have participated in and benefited from the Clinic experience.

Students receive credit for their work in the Mathematics Clinic.

     

Current Projects

 

 Credit Risk in a Network Economy
    Sponsor: Filch Rating

 Gate to Base Capacitance Modeling for Nano-scale MOSFETs
    Sponsor: USC Information Sciences Institute

Practical Semi-Analytic Model for the Substrate Current of Short Channel MOSFETs with LDDs
 Sponsor: USC Information Sciences Institute

Pipeline capacitance tomography
 Sponsor: Instituto Mexicano del Petroleo

Fast Optimization Algorithms for Mars Relay Network Planning and Scheduling
 Sponsor: Jet Propulsion Laboratory

     

Clinic Report
  

   Gate to Base Capacitance Modeling for Nano-scale MOSFETs (pdf)
    USC Information Sciences Institute -- 2007

 
   

Sample
Projects

  Some of the more than 170 projects conducted by the Mathematics Clinic over the last 30 years are:

Modeling Junction Capacitance
 Information Sciences Institute -- 2001-02

Modeling Wind Turbine Power Generation
 Southern California Edison -- 2001-02

Depth from Defocus
 Newport Corporation -- 2000-01

Modeling of Short Channel MOSFET Devices for Use in
 VLSI Simulations
 USC Information Sciences Institute -- 1992-93

Genetic Algorithms
 Hughes Aircraft Company -- 1992-93

Sizing an Artifact Neural Network
 Naval Health Research Center -- 1991-92

Mathematical Analysis of Parameter Extraction from a Non-Linear
 MOSFET Model
 Jet Propulsion Laboratory -- 1987-88

Vibrating Element Densitometer
 ITT Barton -- 1982-83

Automatic Word Recognition
 Interstate Electronics -- 1981-82

Evaluation of Nuclear Safety Code Efficiency Schemes
 Department of Energy / Atomics International -- 1979-80

Caltech President's Fund Search for Extraterrestrial Intelligence
 Computing Techniques
 Jet Propulsion Laboratory -- 1977-78

Mathematical Modeling of Air Pollution Transport
 Rockwell International Science Center -- 1974-75


     

Clinic Faculty

  The areas of expertise of The Claremont Colleges faculty members who participate in the Mathematics Clinic cover an impressive range of mathematical applications. In addition to those faculty members listed below, more than 50 post-doctoral mathematicians from such institutions as Purdue University, Indiana University, The University of Guelph (Canada) and Trinity College (Ireland) have served as Mathematics Clinic advisors during year-long visits to Claremont

John Angus: Probability, statistics, neural networks, genetic algorithms,
 computer-intensive methods in statistics.

Ellis Cumberbatch: Fluids, solids, transistor modeling, asymptotics.

Richard Elderkin: Mathematical modeling, differential equations.

Henry Krieger: Probability, statistics, operations research.

Mario Martelli: Non-linear analysis, chaos, applied mathematics.

Hedley Morris:

Janet Myhre: Statistics, operations research, simulation.

Ali Nadim: Applied mathematics, fluid dynamics, scientific computing

Ami Radunskaya: Dynamical systems, stochastic processes,
 applications of dynamical systems to instrument modeling, sound
 generation, interactive composition.

Adolfo Rumbos: Partial differential equations, bifurcation techniques.

Jerome Spanier: Numerical analysis, Monte Carlo methods, fractional
 calculus, transport and diffusion applications.

     
     

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