Staff

Jens Mueller

Jens Mueller, Ph.D.

58 Upham Hall
513-529-0817
muellej@MiamiOH.edu

Jens has 15+ years of experience in multi-language software development for numerical engineering analysis. Application areas of these tools are as diverse as the simulation of micro-electro-mechanical systems to cardiovascular flow. Specifically, he has worked on finite element mesh adaptation procedures and their parallelization for the use on high-performance computing platforms. He joined the Research Computing group in 2008 from SCOREC at RPI. Jens received his Ph.D. in MEMS Engineering from Freiburg University/Germany.



Skills

  • C
  • C++
  • Fortran programming
  • MPI
  • Unix shells
  • Latex
  • Python

Research interests

  • Numerical simulation methods and high-performance computing
  • Finite elements and adaptive meshing
  • Numerical simulation application support
  • MEMS simulation development and application

Jon Patton

Jon Patton, Ph.D.

64A Upham Hall
513-529-8751
pattonjm@MiamiOH.edu

A mathematician by training, Jon has been working with Miami University since 1989 and has extensive experience with simulation and statistical forecasting. Jon also holds a visiting professor position with the decision sciences and computer science departments and has taught several courses in these departments over the years. Jon has a Ph.D. in mathematics from Purdue University.





Skills

  • Simulation
  • General linear models
  • Forecasting
  • Structural equation modeling
  • Survey processing and design
  • Operations research
  • SAS
  • Fortran
  • Perl
  • Unix
  • SPSS
  • LISREL
  • Microsoft Office

Research interests

  • Computational linguistics
  • Inventory systems
  • Celestial mechanics
  • Project management

Greg Reese

Greg Reese, Ph.D.

63 Upham Hall
513-529-1411
greg.reese@MiamiOH.edu

Greg has been working with the group since 2005 and has over 20 years of experience in scientific programming and algorithm development in industry and at various research laboratories. He has extensive experience in digital image processing, human vision, and pattern recognition and has worked on software for several NASA projects, written three general-purpose image processing suites, and created a commercial molecular biology program for the PC. He is the author of C++ Standard Library Tips and co-author of an industry-wide, medical, electronic data standard. Greg has a Ph.D. in Electrical Engineering from the University of California at Irvine.


Skills

  • High-performance computing
  • C++
  • MATLAB
  • Latex
  • Application support
  • Computational biology
  • Image processing.

Research interests

  • Bioinformatics
  • Mathematical modeling of the visual system
  • Human spatial vision