CCRi takes on technically challenging projects that give our clients the informational leverage they need to attain new levels of speed, accuracy, and productivity.

We bring to bear a variety of advanced analytical techniques, and we render our solutions in software that our clients can apply immediately. Whether you operate a container terminal, conduct marketing intelligence, or track criminal gangs, CCRi can help you break through your constraints.

Although we adjust our process to the requirements of each client, CCRi has developed a number of techniques over the last 20 years that enable us to take on projects with tight deadlines and deliver results efficiently and effectively.

Our Process

Our first objective is to spin up quickly, mastering the relevant domain knowledge, determining the metrics, and articulating the problem in ways that are amenable to solution. We spend time with our clients, interviewing, observing, and modeling their procedures, while constantly checking to ensure that our vision of the problem is broad enough to encompass all the issues involved.

Thanks to extensive connections with researchers and professional societies, we bring to our work the latest techniques and insights. This knowledge gives us the ability not simply to find the most appropriate approach for each project, but to build a solution that provides more power and insight than if we were to rely exclusively on traditional methods.

We get a jumpstart on a solution by delivering prototypes to our clients early on for testing. Our goal is to encourage the early feedback that is critical for keeping our development efforts on track and ensuring that our software meets the requirements of its users.

Key Personnel

Donald Brown, is President of CCRi. He is also the William Stansfield Calcott Professor of Engineering and Applied Science and director of the Applied Predictive Technology Laboratory at the University of Virginia. His research focuses on predictive modeling, statistical learning, and data fusion with applications to security and safety. Dr. Brown has been a principal investigator or co-principal investigator for over 80 research contracts with federal, state, and private organizations.

Dr. Brown is a fellow of the IEEE and the National Institute for Aerospace and the recipient of many awards. The Governor of Virginia presented him with the Governor’s Technology Award for enabling rapid crime analysis by local law enforcement agencies. He has also received numerous awards from the IEEE, including the Joseph Wohl Career Achievement Award for his work in systems engineering and data fusion, the Norbert Wiener Award for Outstanding Research in systems engineering, data fusion, and information analysis, the Intelligence and Security Informatics Award for outstanding research in information for security, law enforcement, and intelligence, the Outstanding Contribution Award, and the Millennium Medal.

Dr. Brown has served on the National Research Council (NRC) Committee on Transportation Security as well as its Committee on Surface Transportation Infrastructure Security.  He was also a member of the National Academy of Sciences panel on High Performance Computing and Crisis Management.

Louis Pittard is Vice President of Operations for CCRi.  He is responsible for all facets of the company’s operations including financial, security, project development, and contract administration. Mr. Pittard has 20 years of experience using C and C++ to solve significant problems on platforms ranging from personal computers to parallel supercomputers. His areas of specialization include operations research, real-time systems, evidence-based reasoning systems, pattern recognition, and clustering.

Mr. Pittard has contributed to a variety of significant projects at CCRi. He led a team that created a large-scale tracking system that cross-correlates millions of observations from disparate sources daily and operates in super-real time on historical databases.

For another project, he developed a tracking system that combined sparse tracking algorithms for exploiting nonstandard and complex data with a Bayesian framework for reasoning about target identity.  In conjunction with other CCRi staff, he developed an object-oriented, imagery fusion system for DARPA’s Dynamic Database (DDB) program. Mr. Pittard also led the effort to develop software for scheduling yard resources for the Hong Kong International Terminal (HIT).  The software searched for optimal job assignments for all the resources in the yard and employed advanced artificial intelligence techniques.

David E. Sappington is Vice President for Engineering at CCRi. Mr. Sappington has worked on a number of intensive computing projects, including data fusion algorithms in support of the U.S. Army. He has designed and implemented computer-based tools for application in the analysis of large data sets and has extensive experience in spatial data management, geographic information systems, simulation, optimization, and computational linguistics.

His experience in software engineering for scientific and technical applications spans both serial and parallel computers. He designed and implemented electronic intelligence data fusion algorithms, along with an associated test bed, a tactical electronic intelligence analysis, and a full graphical user interface. More recently, Mr. Sappington has spearheaded the development of a transcription and text recognition tool, addressing a significant technical challenge that had been pursued for many years.

James H. Conklin is the Director of Operations of CCRi. His responsibilities include business development, project management, and hiring. Mr. Conklin has designed, developed, and tested spatial incident prediction and analysis systems for the US Army, Virginia Department of Criminal Justice Services, Virginia State Police, Department of Homeland Security, and the US Navy. Mr. Conklin has a Masters Degree in Systems and Information Engineering from the University of Virginia.

Mr. Conklin has focused his career on transitioning research-based technologies into operational systems. Through close work with soldiers and police officers, he has helped identify new requirements for research and development, and subsequently implemented operational tools in support of their needs. Mr. Conklin’s experience spans primary research of new analysis techniques and implementing systems for deployment in Iraq and Afghanistan. His work has taken him as far as Baghdad, Iraq to support the deployment, training, and operation of predictive tools for the US Army.

Prior to working at CCRi, Mr. Conklin was a research scientist on the faculty of the University of Virginia in Charlottesville, VA and a member of the technical staff at The Aerospace Corporation in Chantilly, VA. At The Aerospace Corporation, he developed and supported a long-range planning effort for future satellite ground systems.

Anthony D. Fox is Director of Data Science and System Architecture for CCRi. He has extensive experience in the design, development, and architecture of software systems that incorporate mathematical modeling and statistical analysis components. Mr. Fox received his masters degree in Systems Engineering from the University of Virginia where he studied in the Computational Statistics group.

Mr. Fox has conducted a number of projects for the Department of Defense, the financial industry, and other commercial clients. For the Department of Defense, he has worked extensively with Pathfinder, a data mining and information visualization tool. Among other efforts, he integrated it into the Distributed Common Ground System architecture and analyzed system metrics from customer deployments in order to identify inefficient components. For the commercial sector, Mr. Fox worked on distributed computing platforms that enabled large scale analytics. Primary clients included major financial institutions who used the platform to parallelize and distribute pricing algorithms.

Senior Systems Engineer Carsten D. Clark has been a member of the team at CCRi since 2001.  He managed the team of four engineers that developed and improved tracking algorithms for an airborne radar tracking system. Among his contributions, he designed and implemented a discrete event simulation of the system and created a software framework for efficient development and evaluation of the algorithms. He presented the project at the 2009 Navy Opportunity Forum.

Mr. Clark also designed and implemented a computer model for extremely fast calculation of sailing distances between arbitrary points on the world’s oceans. In addition, he has assisted with the testing and improvement of a software application for optimizing the placement of radio frequency (RF) equipment. As part of this effort, he designed and implemented improvements to the model that predicted RF signal propagation over rough terrain.