1 / 17

Academia and Industry

Academia and Industry. Oil and Water or Bread and Cheese? Michael Kirby Department of Mathematics Colorado State University. Expand frontiers Open discussions Basic research Run overnight Make Money Mission Statement. Pillage Plead 5th Time to market Every op counts Make Money

greta
Télécharger la présentation

Academia and Industry

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Academia and Industry Oil and Water or Bread and Cheese? Michael KirbyDepartment of MathematicsColorado State University

  2. Expand frontiers Open discussions Basic research Run overnight Make Money Mission Statement Pillage Plead 5th Time to market Every op counts Make Money Mission Statement Two Cultures?

  3. Potential Benefits of Relationship between University and Industry • Impact on Education • Impact on Research • Program Development: CSU niche?

  4. Industry and Education • Real World Problems • Very practical definition of an “answer” • Non-traditional class: industrial seminar • Introduction to Intellectual Property • Student Benefit: Get a job.

  5. Program for IndustryApplied and Computational MS • Computing skills (4 courses) • Modeling (2 courses) • Statistical tools (2 courses) • Project development and communication(1) • Area of specialization (2 courses)

  6. Industrial Seminar 2003: SRC • Brain Storming • Group activities • Patent Literature • Software Project • Mathematical Analysis • Innovation

  7. The Problem • When is a sensored system behaving nominally? Failure modes. Time to failure. • Examples of systems • Nuclear power plants • X-ray tube data • Turbines • Space shuttle

  8. The Solution • Explore Data Representations (E.g.) • MSET (Patented) • SVD • MNF • CCA • PLS • Wavelets

  9. The Implementation • Matlab: not ideal but fast implemenation • Graphical User Interface: Platform for discovery • Data Structure: function handles • Distributed code development • Code development system

  10. Matlab code demo

  11. Code development system

  12. Summary: Course Goals Simulate industrial work environment • Interacting groups on large project • Exercise ability to contribute in group brainstorming • Innovation • Interim reporting • Code development and documentation • Frustrations of having an idiot boss

  13. Industry and Research • Real World Problems • Student Research Support • Technology Transition

  14. Research Interests • Optimal Modeling of Massive Data • Model reduction • Geometric and Nonlinear Signal Processing • Image processing and visualization

  15. Industrial Collaboration • Honeywell Corporation • Technical Concepts Management Inc. • IBM • Euclid Discoveries, LLC • Siemens Corporate Research • US Forest Service • Raytheon

  16. Oil and Water • Short term support (no 3 year contracts) • Problem a good match? • Academic freedom • Publishing results, Intellectual property • Patent ownership • Basic research versus development • Can’t talk about results (NDAs)

  17. Bread and Cheese • Real World Problems • Drives mathematics • Develops problem solving ability • Support for Research in Mathematics • Realistic Preparation for Students

More Related