Industrial Mathematics
The Pattern Analysis Lab invites interactions and collaborations with partners in industry and National Labs. Industrial problems are often the most challenging and require new techniques (and new mathematics) that do not scale from techniques suitable for "toy" problems.
The collaborations to date include:
- IBM -- improved printing algorithms (current)
- Los Alamos National Lab -- data reduction algorithms (current)
- National Forest Service -- scale dependent spatial data analysis (2003 -- current)
- SIEMENS -- novelty detection (2001-2002)
- Honeywell, INC, -- failure prediction and fault detection (1998-2000)
Note that it is the policy of Colorado State University to retain rights to the intellectual property generated by its faculty.
Powerful if broken down mountain rig.
