Round Table: Enhancing Safety with Big Data: How Data Analytics Tackles Homeland Security Challenges
Dr. Brian Ricks
Postdoctoral Associate at the DIMACS/CCICADA Center of Excellence
Lunch will be provided at 11:30 a.m. The talk begins at noon.
As the Department of Homeland Security addresses threats ranging from intelligent enemies (terrorists, drug smugglers, poachers, etc.) to natural phenomena (massive flooding, super storms, Arctic thawing, etc.), researchers are turning to data analysis for the answers. Stadium and transit security is one of DHS’s specific concerns that is vulnerable to both of these kinds of threats. To resolve these dangers, data analytics and crowd simulation are being used to improve the security of venues across the country. This talk discusses the DHS-funded data analysis tools actively used by NFL venues to make better patron screening decision. Additionally, this talk covers crowd simulation advances used by transit facilities to improve safety. This talk concludes with a short and long-term view of how academics can use data analytics to address these and other homeland security challenges.
Dr. Brian Ricks received his PhD in computer science from Brigham Young University and is currently a postdoctoral associate at the DIMACS/CCICADA Center of Excellence at Rutgers University. Dr. Ricks’ research focuses on crowd simulation for homeland security and virtual reality applications. This draws on his background in graphics, data analytics, and artificial intelligence. Dr. Ricks distinguishes himself among academic researchers by working directly with real, crowded venues to collect data and generate simulations. These industry partners include NFL and NBA venues and a large transit facility in New York City. He has published in the Transactions on Visualization and Computer Graphics and the Visual Computer journals. He has also traveled widely in North America and Europe to present at such conferences as EuroGraphics, Computer Graphics International, and the Symposium on Computer Animation.
Dr. Ricks is a candidate for the Big Data faculty position.