CCRi takes on technically challenging projects that give our clients the informational leverage they need to attain new levels of speed, accuracy, and productivity.
At CCRi, our clients look to us to solve their hardest problems, and we have a long history of exceeding their expectations. With clients ranging from the private sector to the government, we provide a variety of advanced analytical techniques, and we render our solutions in software that our clients can apply immediately. Whether you conduct marketing intelligence or track criminal gangs, CCRi can help you break through your constraints.
With projects ranging from optimizing the world's largest container port to predicting future asymmetric warfare events, CCRi has no shortage of experience in diverse client expectations. As a small company, we are able to adjust our process to the requirements of each client. In addition, over the last 20 years CCRi has developed a number of reliable techniques that enable us to take on projects with tight deadlines and deliver results efficiently and effectively.
At CCRi, we apply numerous machine learning techniques to textual, spatial, and numeric data sets to answer key questions posed by our clients. We then implement these solutions into software systems with a strong focus on scalability, usability, and data visualization. We typically follow a three-phase process that encourages the critical early feedback that ensures our software meets user requirements.
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. Our clients will typically experience a prototype of a tool we developed using a small sample of client data, which we then use to begin an in-depth discussion of the solution that will best fit their needs. We take the time to interview and observe our clients so that we can model their own procedures, while ensuring that our vision of the problem is broad enough to encompass all the issues involved.
We cultivate extensive connections with researchers and professional societies to ensure we bring to our work the latest techniques and insights. We carry this knowledge into our second phase, where we do not simply find the most appropriate approach for each project; rather, we roll out a powerful, insightful solution that exceeds traditional methods and expectations.
Following successful delivery of a solution, CCRi will offer continued support and expertise to ensure client success.
Donald Brown, in addition to being President of CCRi, 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.
Drawing from his extensive expertise, Dr. Brown has been a principal or co-principal investigator for over 80 research contracts with federal, state, and private organizations. He has published over 100 research papers and two edited books on data fusion and statistical learning.
Dr. Brown is a fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the National Institute for Aerospace, and is 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. From the IEEE, Dr. Brown received 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.
Vice President of Operations
Louis Pittard is responsible for all facets of the company’s operations, including finance, 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 daily observations from disparate sources and operates in super-real time on historical databases. Another one of his projects developed a tracking system that combined sparse algorithms for exploiting nonstandard and complex data with a Bayesian framework for reasoning about target identity. He was also part of the CCRi team that developed an object-oriented, imagery fusion system for DARPA’s Dynamic Database (DDB) program. In addition, Mr. Pittard led the effort to develop software for scheduling yard resources for the Hong Kong International Terminal (HIT). The software his team developed searched for optimal job assignments for all yard resources and employed advanced artificial intelligence techniques.
David E. Sappington
Vice President for Engineering
David 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.
Mr. Sappington’s experience in software engineering for scientific and technical applications spans both serial and parallel computation. He has 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
Director of Operations
James H. Conklin is responsible for matters of business development, project management, marketing and human resources at CCRi. He 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 afield as Baghdad, Iraq to support the deployment, training, and operation of predictive tools for the US Army. Mr. Conklin has designed, developed, and tested spatial incident prediction and analysis systems for the US Army, US Navy, Virginia Department of Criminal Justice Services, Virginia State Police, and the US Department of Homeland Security.
Prior to working at CCRi, Mr. Conklin was a research scientist on the faculty of the University of Virginia and a member of the technical staff at The Aerospace Corporation in Chantilly, Virginia. At The Aerospace Corporation, he developed and supported a long-range planning effort for future satellite ground systems. Mr. Conklin has a Master’s Degree in Systems and Information Engineering from the University of Virginia.
Anthony D. Fox
Director of Data Science and System Architecture
Anthony Fox has extensive experience in the design, development, and architecture of software systems that incorporate mathematical modeling and statistical analysis components. At CCRi, he has led efforts in spatio-temporal event prediction, distributed geospatial databases, and streaming distributed data fusion algorithms. Mr. Fox developed GeoMesa, a distributed spatio-temporal database built on top of column family databases such as HBase, Google BigTable, and Accumulo, to support a parallelized event prediction model.
Mr. Fox received his Master’s Degree in Systems Engineering from the University of Virginia, where he studied in the Computational Statistics group.
Carsten D. Clark
Senior Systems Engineer
Carsten Clark has been a member of the CCRi team since 2001, and has extensive experience in software system engineering, cyber security, data analysis, algorithm design, and simulation development and optimization.
Among his many contributions, Mr. Clark has led CCRi’s work on DARPA’s Content-Based Mobile Edge Networking (CBMEN) program. He also managed the team that developed and improved tracking algorithms for an airborne radar tracking system, and presented the project at the 2009 Navy Opportunity Forum.
Mr. Clark 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.
Mr. Clark has contributed heavily to internal CCRi libraries for geospatial and statistical analysis and cross-platform programming.
Senior Software Engineer
Kevin Corby has an extensive background in software development, data analysis, and machine learning. His experience includes the development of new software applications from the ground up, within a variety of architectures and application domains.
During his time at CCRi, Mr. Corby has contributed in many roles, including developing new software solutions, creating innovative statistical models, managing successful engineering teams, and developing new business opportunities and areas of technical expertise within the company.
Prior to his time at CCRi, Mr. Corby was a senior developer and technical lead at Presearch, Inc. (later SAIC), where he primarily worked on the Pathfinder system, an application for information retrieval and text mining. He was also an application developer at Tradeworx, Inc., where he developed financial analysis tools for securities traders.