
Silvia Ferrari
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Contact Information
Silvia Ferrari
Expertise
Intelligent control; autonomous systems; learning and intelligent systems
Current Research Interest
Multi-scale sensing and adaptation; estimation of information value in images; inferential decision making under pressure; dynamic and active localization of fugitive emissions; decentralized perception and navigation
Distinction
mAIRsure Advisory Board Member and Partner
Robohub’s One of the Top 25 Women in Robotics You Need to Know About
Presidential Early Career Award for Scientists and Engineers (PECASE)
International Crime Analysis Association Research Award
National Science Foundation CAREER Award
Office of Naval Research Young Investigator Award
Selected Publications
Rudd, Keith, Greg Foderaro, Pingping Zhu, and Silvia Ferrari. “A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems.” IEEE Transactions on Robotics 33, no. 5 (2017): 1226-1232.
Wei, Hongchuan, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omidshafiei, and Jonathan P. How. “Information Value in Nonparametric Dirichlet-Process Gaussian-Process (DPGP) Mixture Models.” Automatica 74 (2016): 360-268.
Cornell Research Website Article
Autonomous Vehicles for Air, Land, and Sea