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.

Python   Node.js   C/C++   Java   MongoDB   MySQL   Ontology/Knowledge Bases   API design   Java   SQL   REST   Technical Architecture   Machine learning  

Research Areas:

• Ontologies/Knowledge Bases
• Unsupervised Learning algorithms
• Intent Based Networking
• 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.