Staff information

Biography

Dr. Paulo Pinheiro is a Staff Scientist and a leader on semantic technology in support of large-scale data management at the U.S. Department of Energy's Pacific Northwest National Laboratory since 2011. Paulo was the head of the Trust Lab and an Associate Professor in the Department of Computer Science at the University of Texas at El Paso (UTEP) until December 2012. Prior to joining UTEP, Paulo was a postdoctoral fellow at the Knowledge Systems, Artificial Intelligence Laboratory at Stanford University. Paulo holds a Ph.D. in Computer Science, 2002 (University of Manchester, U.K.), an M.Sc. in Computer Science, 1998, and a BA in applied mathematics, 1996 (Federal University of Minas Gerais, Brazil). Before joining the University of Manchester's Ph.D. program in 1998, Paulo had over 15 years of practical experience with Big Data as an IT manager, IT consultant, and software developer for public and private companies in Brazil. For further information see http://paulopinheiro.info

Research Interests

• Semantic Technology
• Provenance
• Databases
• Artificial Intelligence

Education and Credentials

• Postdoctoral Fellow Training, Stanford University, 2002-2005
• Ph.D. in Computer Science, University of Manchester, 2002
• M.Sc. in Computer Science, Universidade Federal de Minas Gerais, 1998
• B.Sc. in Mathematics, Universidade Federal de Minas Gerais, 1996

PNNL Publications

2013

• Kleese van Dam K, JP Carson, AL Corrigan, DR Einstein, ZC Guillen, BS Heath, AP Kuprat, IT Lanekoff, CS Lansing, J Laskin, D Li, Y Liu, MJ Marshall, EA Miller, G Orr, P Pinheiro da Silva, S Ryu, CJ Szymanski, and M Thomas. 2013. "Velo and REXAN - Integrated Data Management and High Speed Analysis for Experimental Facilities." In Proceedings of the IEEE 8th International Conference on EScience, October 8-12, 2012, Chicago, Illinois.  IEEE Press, Los Alamitos, CA.  doi: 10.1109/eScience.2012.6404463

2012

• Del Rio NR, and P Pinheiro da Silva. 2012. "Capturing and Using Knowledge about the Use of Visualization Toolkits." In Discovery Informatics: The Role of AI Research and Innovating Scientific Processes: Papers from the 2012 AAAI Fall Symposium, November 2–4, 2012, Arlington, Virginia, no. Technical Report FS-12-03, pp. 14-20.  The AAAI Press, Menlo Park, CA. 
• Salayandia L, AQ Gates, and P Pinheiro da Silva. 2012. "An Approach to Evaluate Scientist Support in Abstract Workflows and Provenance Traces." In Discovery Informatics Symposium: The Role of AI Research in Innovating Scientific Processes: Papers from the 2012 AAAI Fall Symposium, November 2–4, 2012, Arlington, Virginia, no. Technical Report FS-12-03, pp. 45-51.  AAAI Press, Menlo Park, CA. 

2011

• Gandara AG, G Chin, Jr, P Pinheiro Da Silva, SK White, C Sivaramakrishnan, and TJ Critchlow. 2011. "Knowledge Annotations in Scientific Workflows: An Implementation in Kepler." In 23rd Scientific and Statistical Database Management Conference (SSDBM 2011), July 20-22, 2011, Portland, Oregon. Lecture Notes in Computer Science, vol. 6809, ed. JB Cushing, J French and S Bowers, pp. 189-206.  Springer-Verlag, Berlin.  doi:10.1007/978-3-642-22351-8_11

2010

• Stephan EG, TD Halter, TJ Critchlow, P Pinheiro Da Silva, and L Salayandia. 2010. "Using Domain Requirements to Achieve Science-Oriented Provenance ." In Provenance and Annotation of Data and Processes - Third International Provenance and Annotation Workshop, IPAW 2010: Lecture Notes in Computer Science, vol. 6378, ed. DL McGuinness, JR Michaelis and L Moreau, pp. 301-303.  Springer, New York.  doi:10.1007/978-3-642-17819-1_40