Future Infrastructure Group Lead Software Developer. I work with next generation network operations and security, edge computing, web services, machine learning, and a little bit of everything else. I have worked with Python, C/C++, Node.js, and Java in the last two years. I am fluent in MongoDB, MySQL, PostgreSQL, and Oracle, as well as JSON, XML, RDF/OWL, and YAML. 26 years as a Linux/Unix expert.

Research areas: Ontologies/Knowledge Bases, Unsupervised Learning algorithms, Intent Based Networking, and Intelligent Agents.

Publications:

Schrimpsher, Dan, and Letha Etzkorn. "A model to predict quality of a reduced ontology for Web service discovery on mobile devices." The Knowledge Engineering Review 29.2 (2014): 201-216.

Schrimpsher, Dan, Zhiqiang Wu, Anthony M. Orme, and Letha Etzkorn."Dynamic ontology version control." Proceedings of the 48th Annual Southeast Regional Conference. ACM, 2010.

Schrimpsher, Dan, and Letha Etzkorn. "An empirical quality model for web service ontologies to support mobile devices." 2009 3rd International Symposium on Empirical Software Engineering and Measurement. IEEE, 2009.

Schrimpsher, Dan, and Letha Etzkorn. "Sub-graphing web service ontologies to support resource constraints of mobile devices." Proceedings of the 47th Annual Southeast Regional Conference. ACM, 2009.

Narayanan, N. Hari, and Dan J. Schrimpsher. "Extending eye tracking to analyse interactions with multimedia information presentations." People and Computers XIV—Usability or Else!. Springer, London, 2000. 271-286.

Hansen, Steven R., N. Hari Narayanan, and Dan Schrimpsher. "Helping learners visualize and comprehend algorithms." Interactive Multimedia Electronic Journal of Computer-Enhanced Learning 2.1 (2000): 10.

Patents:

Levensalor, R., Pisarski, S.M., Corcimiglia, C.J. and Schrimpsher, D., Cable Television Labs Inc, 2018. Systems and methods for disaggregated software defined networking control. U.S. Patent Application 16/000,721.

Padden, J., Williams, T.H., Dennis, J.R., Malas, D.W., Schrimpsher, D. and Jones, D.D., Cable Television Labs Inc, 2019. Smart taps. U.S. Patent Application 16/154,935.