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/SC 42/WG2 Working Group on Big Data, Chair of IEEE Big Data Governance and Metadata Management
Mr. 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/SC 42(Artificial Intelligence)/WG 2 Working Group on Big Data, IEEE Big Data Governance and Metadata Management, NIST Big Data Public Working Group, and NIST representative to the ISO/IEC AI standards development.
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 SMIL WG and developed one of the SMIL reference software. Furthermore, Mr. Chang also participated in the Research Data Alliance for data infrastructure related WGs, HL7 and ISO/IEC TC215 for health informatics and IETF for the protocols development of SIP, RTP/RTPC, RTSP, and RSVP networking protocols. Mr. Chang research interests include, Open Data, FAIR Data, Big Data, big data analytics, big data quality, AI Data, machine learning, deep learning, high performance and cloud computing, content metadata description, digital file formats, multimedia synchronization, digital data preservation, and Internet protocols.
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 where he was Senior Wrangler. He is now a distinguished professor of Engineering, Computing, and Physics at Indiana University where he is the director of the Digital Science Center. He previously held positions at Caltech, Syracuse University, and Florida State University after being a postdoc at the Institute for Advanced Study at Princeton, Lawrence Berkeley Laboratory, and Peterhouse College Cambridge. He has supervised the Ph.D. of 73 students and published around 1300 papers (over 520 with at least ten citations) in physics and computing with a hindex of 78 and over 36000 citations. He is a Fellow of APS (Physics) and ACM (Computing) and works on the interdisciplinary interface between computing and applications.
Current application work is in Biology, Pathology, Sensor Clouds and Ice-sheet and Earthquake Science, and Particle Physics. His architecture research involves High-performance computing enhanced Software-Defined Big Data Systems on Clouds and Clusters with open source software Twister2. The analytics focuses on scalable parallel machine learning. He is an expert on streaming data and robot-cloud interactions and deep learning applied to geospatial time series and to improve performance and capabilities of large scale computations – called MLaroundHPC. 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.
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. Mark Underwood, Co-Chair of NBD-PWG Security and Privacy Subgroup, AVP, Information Security Innovation at Synchrony
Mark Underwood is currently AVP, Information Security Innovation at Synchrony. Interests include Big Data security & privacy, ontologies for model-based software engineering, DevSecOps, DevOps for Ops and domain-specific frameworks. He has promoted the use of ontology-based systems to support cybersecurity and has published two chapters in software engineering; they cover the use of social media in intranets and complex event processing for cybersecurity in IoT. Previously Underwood has served as lead engineer or principal investigator on artificial intelligence projects for DARPA and for Army and Air Force research laboratories. He is a collaborator in standards organizations to foster information assurance, transparency and algorithmic ethics for autonomous systems. Since 2013, Underwood has served as co-chair of the NIST Big Data Public Working Group’s security and privacy subgroup, and was co-chair of the 2015 Ontology Summit focused on the Internet of Things. In 2014, he served on the workshop committee for the IEEE Big Data Conference and moderated several panels, and is currently engaged with IEEE P2675, P7001, P7003, and P7000 standards committees. Underwood holds certificates from ASQ (Certified Software Quality Engineer), ISACA (CRISC), Scaled Agile (SAFe4 Agilist). He is an occasional electric violinist and poet. Invited presentation have included DevSecOps Days 2019 (Washington DC), keynote co-presenter (with Leo Obrst) at Semantic Technology for Intelligence Defense Security (STIDS 2016). Expressed views reflect his own, not employers or professional associations. @knowlengr
Mr. David Boyd, Co-Chair of NBD-PWG Reference Architecture Subgroup, Vice President, Data Solutions
With over 35 years experience in developing, integrating, and deploying complex data intensive systems for the federal government. Mr. Boyd’s focus is on transitioning technology into operational capabilities for users. Mr. Boyd is a leading expert in Big Data systems and architectures serving as the chair for the ANSI/INCITS Big Data technical committee and as contributor and editor for several parts of ISO/IEC 20547 Information Technology – Big Data: Reference Architecture standard and as editor for ISO/IEC 20546 Information Technology – Big Data: Overview and Vocabulary. Mr. Boyd was also a contributing author and editor for NIST Special Publications 1500-6 Big Data Interoperability Framework: Reference Architecture and 1500-7 Big Data Interoperability Framework: Standards Roadmap. Mr. Boyd has an extensive background in software development and data science with specializations in geospatial systems and unstructured data analysis. Mr. Boyd holds a B.S. in Computer Science from the University of Maryland and an M.S. Information Technology from Capella University. Mr. Boyd serves as on the board of the US STEM foundation, a non-profit focused on developing a community based model to give young people access to Science, Technology, Engineering, and Mathematics activities and encourage future education and careers in related disciplines.
Dr. 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, responsible for examining and coordinating project plans and championing CFGIO to government and university offices. Russell’s interests include research on data management and information system technologies. He has thirty plus years of experience in a variety of roles ranging from military communications, to engineering, to business analysis. 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.
Dr. Claire C. Austin, Editor of NBDIF Volume 9 on Adoption and Modernization, Physical Science Senior Officer, Department of the Environment, Canada
Dr. Austin has published extensively in the peer-reviewed literature and at international conferences on environmental exposure and occupational health. Her strong quantitative background has led her to develop a research interest in the institutional facilitators and barriers to integrating and implementing the principles of Open Science, FAIR data, and reproducible research within organizations. Claire has served in leadership positions in a wide range of national and international bodies: Secretary (IEEE Big Data Governance and Metadata Management); co-Chair (RDA Assessment of Data Fitness for Use); Chair (CODATA IRiDiuM International Research Data Management glossary); co-Chair (RDC Standards & Interoperability Committee); Editorial Board member (Data Science Journal); technical advisor (ISO and NFPA); expert panel member (WHO/IARC carcinogenicity of smoke and firefighting); and, Discipline Committee member (Quebec Order of Chemists). Dr. Austin currently leads a multi-year scientific data modernization initiative targeting the wide range of monitoring, research, modelling, inventory, and regulatory data and associated computer code developed and maintained by the Science & Technology Branch.