The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory

Biography

FRED S. ROBERTS is a Distinguished Professor of Mathematics at Rutgers University and Director of the Command, Control, and Interoperability Center for Advanced Data Analysis (CCICADA), a Dept. of Homeland Security University Center of Excellence. He has worked with DHS since 2006 when he became director of the earlier DHS Center of Excellence, the Center for Dynamic Data Analysis (DyDAn). For 16 years, he directed DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science, which was founded as one of the original National Science Foundation Science and Technology Centers, one of the most prestigious awards given out by NSF. Roberts holds the title Emeritus Director and Senior Advisor of DIMACS.

Roberts’ four authored books and 25 edited books have been used world-wide and translated into French, Russian, Chinese, and Vietnamese. His book “Applied Combinatorics” was revised with a new edition in 2024. His recent edited books include the first book on maritime cyber security in 2017, a 2019 book on “Mathematics of Planet Earth,” a 2021 book on “Resilience in the Digital Age,” and a 2022 book on “Mathematics for Action: Supporting Science-based Decision-making.” His work applies mathematical modeling, knowledge-based decision tools, and data science methods to such varied topics as measurement, epidemiology, sustainability, large venue security, supply chain resilience, disasters and pandemics, maritime cyber security, mathematical psychology, and global environmental change. In recent years, he has worked on applications of intelligent machines to emergency management, data science and resilience, facial recognition of animals, mechanisms and algorithms to augment human decision making, analysis of dynamic digital twins of sports stadiums and transit facilities, best practices for stadium security (widely used by all major sports leagues), minimizing the impact of complex disruptions to the marine transportation system, and getting early warning of criminal disruptions of supply chains.