Registered user since Wed 22 Oct 2014
Name: Julian Dolby
Bio: I have been a Research Staff Member at IBM’s Thomas J. Watson Research Center since 2000. I work on a range of topics, including static program analysis, software testing and the semantic web. I have also worked on the Jikes Research Virtual Machine (Jikes RVM).
My testing work has been primarily focused on Web applications in the Apollo project, and on finding concurrency bugs using both dynamic execution and model checking.
My semantic Web work has been on scalable inference with the SHER project; more recently, I have focused on representing RDF data efficiently in an RDBMS, semantics of SPARQL, and extending SPARQL to integrate Web data. You can see a summary of our work in this area in a keynote I gave at the Semantic Big Data workshop at SIGMOD 2017.
I was educated at the University of Wisconsin-Madison as an undergraduate, and at the University of Illinois at Urbana-Champaign as a graduate student where I worked with Professor Andrew Chien on programming systems for massively-parallel machines.
Country: United States
Affiliation: IBM Thomas J. Watson Research Center
Personal website: http://researcher.watson.ibm.com/researcher/view.php?person=us-dolby
Research interests: Programming languages, Program analysis, Software testing, Semantic Web
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