Faculty Bio - John Sheehan

John Sheehan

Title(s): Computer Science Instructor and Coordinator
Department: STEM: Science, Technology, Engineering & Mathematics

 

John Sheehan
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 Institiute 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.

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