Bernard Brooks

Associate Professor


Contact Information

Office8 2350
Phone(585) 475-5138
Emailbpbsma@rit.edu


Bernard Brooks has been invited to present his rumour propagation research at numerous research institutions including the S.N.Bose National Centre For Basic Sciences in Calcutta, the Princeton Plasma Physics Laboratory and the Institute for Advanced Studies in Vienna. He has been featured in the popular media as well on programs such as World Business on CNBC Europe and National Public Radio's Science Friday: Using Math to Track Terrorists. Bernard is a member of the Center for Applied and Computational Mathematics at RIT and a founding Fellow in the Consortium for Mathematical Methods in Counterterrorism.
Bernard earned a BSc from the University of Toronto in Biology, Physics and Mathematics, an MSc in Biophysics and PhD in Applied Mathematics from the University of Guelph and an MBA in Finance from RIT.  He won the Eisenhart Award for Outstanding Teaching in 2011-12.

Research Interests

My research focuses on two areas, modeling ancient populations as dynamical systems and modeling rumour propagation on social networks. Both areas lend themselves well to student participation. The dynamical system models of Easter Island provide opportunity for students with a background in differential equations to use linear stability analysis on systems exhibiting the flavor of logistic growth. The rumour research allows students to simulate the formation of social networks and to use agent based models on those networks.


Selected Publications

Brooks, B.P., DiFonzo, N., Ross, D., GBN-Dialogue Model of Outgroup-Negative Rumor Transmission: Group Membership, Belief, and Novelty, Nonlinear Dynamics, Psychology and Life Sciences. (2013) April Vol. 17, Iss. 2, pp. 269-293.
 
Brooks, B.P.  Linear Stability Conditions for a First Order 3-Dimensional Discrete Dynamic, Applied Mathematics Letters, (2004) 17(4), 463-466.
 
Brooks, B.P.  Rumour Propagation on Social Networks as a Function of Diversity, Advanced Dynamic Modeling of Economic and Social Systems: Studies in Computational Intelligence, (2013), Volume 448/2013, 49-60.