NIST Big Data Program

 

Welcome to NIST Big Data Public Working Group (NBD-PWG)!
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   Wo Chang
     NIST / ITL
     Digital Data Advisor
     
   James St Pierre
     NIST / ITL
     Deputy Director
     
 

Co-Chairs Information...
NBD-PWG Co-Chairs

Dr. Chaitan Baru, Distinguished Scientist and Associate Director Data Initiatives, San Diego Supercomputer Center, University of California San Diego; Director, Center for Large-scale Data Systems Research (CLDS) and Lead of Big Data Benchmarking Community Working Group
Dr. Baru has played a leadership role in a number of national-scale cyberinfrastructure R&D efforts across a wide range of science disciplines from earth sciences to ecology, biomedical informatics, and healthcare. Dr. Baru's interests are in research and development in the areas of parallel database systems, scientific data management, data analytics, and the challenges of data-driven science and data-driven enterprises.

Prior to joining SDSC, Dr. Baru was one of the group leaders in the development team for IBM's UNIX-based shared-nothing database system (DB2 Parallel Edition, released in Dec 1995). He contributed to the definition of the TPC-D decision support performance benchmark and led a performance team at IBM that produced the first result for TPC-D. Recently, Dr. Baru has helped establish a community effort to create a Big Data Benchmark, leading to the proposed BigData Top100 List (bigdatatop100.org), borrowing benchmarking ideas from the high-performance computing and transaction processing and database communities.


Dr. Robert Marcus, Chief Technology Officer at ET-Strategies, Co-Chair of Big Data Working Group at Cloud Standards Customer Council
Dr. Robert Marcus has been active for many years in software standards. He has worked with the DMTF, SNIA, OGF, OMG, Open Group, OCC, NCOIC, and TM Forum to organize major Cloud Workshops and coordination activities such as Cloud-Standards.org. He is currently the Co-Chair of the Cloud Standards Customer Council's Big Data Working Group. In March 2013, he organized a "Big Data in the Cloud" Conference that brought togethers executives from governments with leaders from the standards, industry associations, and vendor communities.

His previous experience includes Director of Technology Transformation and Deployment at General Motors, CTO of Rogue Wave Software, VP of Technical Strategy at the MCC Research Consortium, Director of the Colorado Grid Computing Initiative, Director of Object Technology at American Management Systems, Coordinator of Object Technology at Boeing, Advanced Technology Software Engineer at HP, and Professor of CS at City University of New York. In 2003, he published a book on "Great Global Grid: Emerging Technology Strategies".


Mr. Wo Chang, Digital Data Advisor for the NIST Information Technology Laboratory (ITL), Convernor of ISO/IEC JTC 1/WG9 Working Group on Big Data, Chair of ISO/IEC JTC/1 SC29 WG11 (MPEG) Multimedia Preservation AHG
Mr. Wo Chang is Digital Data Advisor for the NIST Information Technology Laboratory (ITL). His responsibilities include, but are not limited to, promoting a vital and growing Big Data community at NIST with external stakeholders in commercial, academic, and government sectors. Mr. Chang currently chairs the ISO/IEC JTC 1/WG9 Working Group on Big Data and ISO/IEC JTC/1 SC29 WG11 (MPEG) Multimedia Preservation AHG.

Prior to joining ITL Office, Mr. Chang was manager of the Digital Media Group in ITL and his duties included overseeing several key projects including digital data, long-term preservation and management of EHRs, motion image quality, and multimedia standards. In the past, Mr. Chang was the Deputy Chair for the US National Body for MPEG (INCITS L3.1) and chaired several other key projects for MPEG, including MPQF, MAF, MPEG-7 Profiles and Levels, and co-chaired the JPEG Search project. Mr. Chang was one of the original members of the W3C's SMIL WG and developed one of the SMIL reference software. Furthermore, Mr. Chang also participated in the HL7 and ISO/IEC TC215 for health informatics and IETF for the protocols development of SIP, RTP/RTPC, RTSP, and RSVP. Mr. Chang's research interests include digital data preservation, cloud computing, big data analytics, content metadata description, digital file formats, multimedia synchronization, and Internet protocols.


Subgroup Co-Chairs

Dr. Nancy W. Grady, Co-Chair of NBD-PWG Big Data Definitions and Taxonomies Subgroup, Principal Data Scientist and Technical Fellow, SAIC
Dr. Nancy Grady has 35 years of experience specializing in data mining and data analytics. Her expertise includes data and text mining for credit card bankruptcy, and patent search, and end-to-end biosurveillance analytics solutions for CDC and DHS. Dr. Grady has done big data and data science consulting for a county HR department, a State CIO, a NASA strategic safety analytics roadmap, and for the Office of the CIO, Department of Defense. She leads SAIC's Internal Research and Development (IR&D) to develop big data analytics applications including Deep Learning and GPU computing for cyber and IoT. Dr. Grady is the lead editor for the ISO standard 20546 "Information Technology - Big Data - Overview and Vocabulary". She served on the senior industry track program committee for ACM's Knowledge Discovery in Data conference, and is on the IEEE Big Data Conference Industrial Track Program Committee. Dr. Grady was a Wigner at Oak Ridge National Laboratory, and her PhD is in physics from the University of Virginia.


Prof. Geoffrey Charles Fox, Co-Chair of NBD-PWG Use Cases and Requirements Subgroup, Distinguished Professor of Computer Science and Informatics, Indiana University
Dr. Fox received a Ph.D. in Theoretical Physics from Cambridge University and is now distinguished professor of Informatics and Computing, and Physics at Indiana University where he is director of the Digital Science Center, Chair of Department of Intelligent Systems Engineering and Director of the Data Science program at the School of Informatics and Computing. He previously held positions at Caltech, Syracuse University and Florida State University after being a postdoc at the Institute of Advanced Study at Princeton, Lawrence Berkeley Laboratory and Peterhouse College Cambridge. He has supervised the PhD of 67 students and published around 1200 papers in physics and computer science with an hindex of 70 and over 27000 citations.

He currently works in applying computer science from infrastructure to analytics in Biology, Pathology, Sensor Clouds, Earthquake and Ice-sheet Science, Image processing, Deep Learning, Manufacturing, Network Science and Particle Physics. The infrastructure work is built around Software Defined Systems on Clouds and Clusters. The analytics focuses on scalable parallelism. He is involved in several projects to enhance the capabilities of Minority Serving Institutions. He has experience in online education and its use in MOOCs for areas like Data and Computational Science. He is a Fellow of APS (Physics) and ACM (Computing).


Dr. Arnab Roy, Co-Chair of NBD-PWG Security and Privacy Subgroup, Member of Research Staff, Fujitsu Laboratories of America
Dr. Arnab Roy is a Member of Research Staff at the Fujitsu Laboratories of America since 2012. From 2010-11, he was a post-doctoral researcher at the IBM Thomas J. Watson Research Center. Arnab obtained his PhD in Computer Science from Stanford University in 2009, where he was a Siebel Scholar. He completed undergraduate studies from Indian Institute of Technology Kharagpur in 2004, where he was awarded the Prime Minister of India Gold Medal for academic excellence. His primary research interest is in construction and formal analysis of cryptographic protocols and primitives. He has published several papers in this field, received the Best Paper Award at Asiacrypt 2013, and is serving on the Program Committee of Eurocrypt 2016. He was also awarded a Certificate of Recognition by NIST for outstanding volunteer contributions to the development of the NIST Cloud Computing Security Reference Architecture.


Mr. Russell Reinsch, Co-Chair of NBD-PWG Standards Roadmap Subgroup, Analyst for Center for Government Interoperability
Mr. Russell Reinsch serves as an Analyst with the Center for Government Interoperability. He is responsible for examining and coordinating project plans and championing CFGIO to government and university offices. Prior to his current role Russell was a Project Manager on the Student Programmers project. From 2012 to 2014 Russell was an Analyst and core team member of a DC startup building a link analysis technology similar to Quid and Deltasight. Working on both design and business aspects of the project, Russell provided extensive competitive intelligence and market understanding as well as user research for organizational strategy. He was also instrumental in developing the information architecture for the product interface. Russell's experience also includes SREDIM, PEST factoring, and project feasibility and scoping analysis. He has twenty years of diagnostics experience in a variety of industries ranging from military communications to automotive and facilities maintenance. Russell holds a Bachelor of Science degree in Science and Technology Studies from Arizona State University. His most recent continued education credits were earned in Challenges of Big Data through Massachusetts Institute of Technology.

 

Upcoming/Past Events

2nd NIST Big Data Workshop, NIST,
June 1 & 2, 2017
IEEE NBD-PWG Workshop, October 27, 2014
1st NIST Big Data Workshop, NIST, September 30, 2013

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Last updated: January 11, 2017

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