Faculty Bio
John Sheehan
John Sheehan
Title(s): Computer Science Instructor and Coordinator
Department: STEM: Science, Technology, Engineering & Mathematics
Contact Information
Phone: 845-688-6017
Office location: Stone Ridge campus, Hardenbergh 109D
Email: sheehanj@sunyulster.edu
Links: Linked In and Website
Degree Information
Doctor of Philosophy / Computer Science, Rensselaer Polytechnic Institute, (in progress)
Master of Business Administration / Management & Technology, Rensselaer Polytechnic
Institute, 1999
Master of Engineering / Computer and System Engineering, Rensselaer Polytechnic Institute,
1991
B.S. Electrical Engineering, SUNY New Paltz, 1990
Courses Taught
CSC 131 - Web Application Development I
CSC 132 - Web Application Development II
CSC 150 - Computer Science I
CSC 180 - Computer Science II
CSC 201 - Computer Science III / Data Structures
CSC 205 - Software Engineering Practices
CSC 210 - Android App Development
CSC 215 - Apple iOS App Development
CSC 260 - Theory & Practice of Object-Oriented Programming
Primary Area of Expertise
Research interests include Healthcare Informatics and Medical Applications of Semantic Web Technologies, Software Engineering and Technical Entrepreneurship.
Honors and Awards
Presidential Graduate Research Fellowship, Rensselaer Polytechnic Institute, 2015-2016
Recent Projects
Researcher for Data Analytics collaboration between Rensselaer and Mount Sinai, funded by the NIH called CHEAR: Child Health Environmental Assessment Resource Program: See link here
Researcher for the Healthy birth, growth and development (HBGD) Data Analytics initiative funded by the Bill and Melinda Gates Foundation: See link here
Recent Presentations
Semantic Workflows: Capturing and Using Provenance from Scientific Workflows: Rensselaer Polytechnic Institute Tetherless World Constellation: https://tw.rpi.edu/web/TWC
Applications of the Semantic Web for Healthcare: Poughkeepsie Chapter of the Association for Computing Machinery: http://pok.acm.org/meeting15.11.html
Recent Publications
“Addressing Scientific Rigor in Data Analytics using Semantic Workflows” John S. Erickson, John Sheehan, Kristin P. Bennett and Deborah L. McGuinness. ProvenanceWeek 2016.
