Computational & Statistical Analytics
PNNL has been advancing computational and mathematical foundations to enable next-generation technologies for over two decades. We build multi-disciplinary teams, utilizing the best solutions and brightest minds to address our nation's greatest challenges.
Computational & Statistical Analytics Division capabilities are organized into five areas:
- Applied Statistics & Computational Modeling
- Data Sciences & Analytics
- Software Engineering & Architectures
- Visual Analytics
IEEE Homeland Security Technology Symposium Best Paper
A team of PNNL researchers was recently honored with the Cyber Security Track Best Paper Award during this year's IEEE Homeland Security Technology Symposium. IEEE HST is an annual forum that addresses areas of Cyber Security, Attack and Disaster preparation, Land and Maritime Border Security, and Biometrics & Forensics. Sam Chatterjee, a scientist in the Operations Research team, co-authored "Quantifying Mixed Uncertainties in Cyber Attacker Payoffs" with Mahantesh Halappanavar , Ramakrishna Tipireddy, Matthew Oster, and Virginia Tech's Sudip Saha. The paper addresses uncertainty quantification in attacker payoffs within the context of cyber security games. Their research was supported by the Asymmetric Resilient Cybersecurity (ARC) initiative.
Greaves Selected for Editorial Board
Mark Greaves, Technical Director for Analytics, has been selected to serve a three-year term on the Editorial Board of Elsevier's Journal of Web Semantics, the leading interdisciplinary journal of research and applications which contribute to the development of a knowledge-intensive and intelligent service web. Mark, an expert in the areas of artificial intelligence and knowledge systems, noted that inclusion to this international board of industry experts is "concrete evidence of PNNL's increasing reputation in the areas of semantic technology and artificial intelligence."
PNNL Team Charts a New Map
A team of PNNL staff recently completed the development and delivery of a large-scale information graphic called Visualizing Maritime Containerized Cargo Pathway Difficulty for the U.S. Department of Homeland Security, Domestic Nuclear Detection Office, Architecture and Plans Directorate. The ~3' x 11' infographic intended to visually portray the holistic difficulty of shipping a container from a foreign location, through a foreign port via maritime containerized cargo, into the United States. Approximately 90 steps involved in containerized cargo shipments are contained within the infographic which is intended to enable dialogue and convey insights on the Global Nuclear Detection Architecture and maritime containerized cargo.