Social Science Bldg., Room 401
Phone: (406) 243-2883
Computer Science Faculty and Staff
Fall 2016: CSCI 491-01 (ST) Big Data Science
- 1995 University of Wisconsin, PhD. Computer Science
- 1988 Montana Tech. BS. Mathematics & Computer Science (double major)
Machine Learning, Deep Neural Networks, Interdisciplinary Research
- Participated in roughly 30 grants and contracts for approximately $12 million.
- PI/Lead Scientist on 9 Phase I SBIRs, and 6 Phase IIs SBIRs
- NSF CAREER grant recipient
(of 65 scientific refereed; and over 100 publications)
- Opitz D., and Blundell, S. (2008) “An Automated Feature Extraction Approach for LIDAR and Color Imagery.” American Society for Photogrammetry and Remote Sensing International Conference.
- Brewer, K. Winne, C., Redmond, R, Opitz, D. and Mangrich, M. (2005) “Classifying and Mapping Wildfire Severity: A Comparison of Methods.” Journal of the American Society for Photogrammetry and Remote Sensing. Vol 71. #6 (pp 1311-1320).
- Opitz, D, Morris, M, and Blundell, S. (2004). “A Change Detection System for Natural Resource Applications.” 10th Biennial Forest Service Remote Sensing Applications
- Basak S, Grunwald G, Gute B, Balasubramanian K, Opitz D. (2002) “Use of statistical and neural net approaches in predicting toxicity of chemicals.” Journal of Chemical Info and Computer Sciences.
- Opitz, D., et al. (2001) “Classifying and Mapping Wildfire Severity,” Imaging Notes. Vol 81, (pp. 24-25).
- Opitz D, Maclin R, (1999). “Popular Ensemble Methods” Journal of Artificial Intelligence Research 11 (1), 169-198.
- Opitz D, Shavlik J, (1999). “Actively Searching for an Effective Neural-Network Ensemble.” Springer-Verlag Series on Perspective in Neural Computing, 79-97.
- Opitz D, Shavlik J, (1997). “Connectionist Theory Refinement: Genetically Searching the Space of Network Topologies" Journal of Artificial Intelligence Research 6, 177-209.
- Opitz D, Shavlik J, (1996). “Searching for Effective Neural-Net Ensembles” Connection Science 8, 337-353.
- Opitz D, Shavlik J, (1995). “Dynamically Adding Symbolically Meaningful Nodes to Knowledge-Based Neural Networks.” Journal of Knowledge-Based Systems 8, 301-311.
- NSF CAREER award for Faculty Early Career
- Distinguished Alumni Award for outstanding achievement (Montana Tech)
- Textron Systems Chairman’s Award for Innovation.
- University of Wisconsin-Madison Computer Science Outstanding Student Award; Fellowship
- (VLS) State of Montana SBIR Company of the Year presented at the Max Baucus Economic Summit
- (VLS) Tibbetts Award exemplifying the very best in SBIR achievement (2006)
- (VLS) Army SBIR and STTR Quality Award (2006)
- (VLS) Feature Analyst, voted ESRI’s Most Innovative Solution of over 1400 business partners (lead designer of software)
- Profiled on CNBC on “Power Lunch.” Show was prime time and broadcast globally.
- Machine Learning (I and II)
- Artificial Intelligence
- Big Data Science
- Computer Architecture (I and II)
- Computer Networks
- Computer Theory
- Data Structures
- Computers and Business capstone course
- Several different programming courses and languages
- Several math courses
- Serial Entrepreneur
- Sarinjo Technologies, LLC (Founder and Owner)
- Dearborn Property Management (Founder and Owner)
- Frontier Angel Funds I & II (Member)
- Canyon River Golf Course and Development (Minority coowner)
- Writer: Fiction series, Technical Writing, Editing.
- Service: Volunteer, Help High-Tech Startups; Non-profit and For-profit Boards; Coach.
- Visual Learning Systems. Co-founder & President. Software company focused on using machine learning for automatic digital image interpretation. Became world leader in industry after only 4 years. Sold to Textron in 2006.
Entrepreneurship, Golf, Bike, Coach, Volunteer, Travel, Music, Read & Write Fiction