Silvia Ferrari is a Professor of MAE at Cornell University. Prior to that, she was Professor of Engineering and Computer Science, and Founder and Director of the NSF Integrative Graduate Education and Research Traineeship (IGERT) and Fellowship program on Wireless Intelligent Sensor Networks (WISeNet) at Duke University. She is the Director of the Laboratory for Intelligent Systems and Controls (LISC), and her principal research interests include robust adaptive control of aircraft, learning and approximate dynamic programming, and optimal control of mobile sensor networks. She received the B.S. degree from Embry-Riddle Aeronautical University and the M.A. and Ph.D. degrees from Princeton University. She is a senior member of the IEEE, and a member of ASME, SPIE, and AIAA. She is the recipient of the ONR young investigator award (2004), the NSF CAREER award (2005), and the Presidential Early Career Award for Scientists and Engineers (PECASE) award (2006).
Professor Ferrari's research focuses on design and analysis of methods and algorithms for computational intelligence and sensorimotor learning and control. Her contributions include the development of new theories and algorithms on the learning and approximation properties of graphical models, such as neural and probabilistic networks, as well their applications in many areas of science and engineering, such as reconfigurable aircraft control and robotics. Professor Ferrari developed new methods for adaptive dynamic programming, reinforcement learning, optimal control, and information-driven planning and control for distributed systems and mobile sensor networks. Recent contributions also include the development of new mathematical models of learning and plasticity uncovered from biological brains, as well as cognitive models of complex decision making derived from data.
Optimal control theory, intelligent systems, multivariable control, feedback control of dynamic systems, sensor networks.
- 2014. "A Geometric Transversals Approach to Analyzing the Probability of Track Detection for Maneuvering Targets." IEEE Transactions on Computers 63 (11): 2633-2646. .
- 2012. "Emergent Bursting and Synchrony in Computer Simulations of Neuronal Cultures." Frontiers in Computational Neuroscience 6 (15). .
- 2015. "In-tegrated Simulation of Gas Dispersion and Mobile Sensing Systems." Rome, Italy July (3rd Quarter/Summer). .
- 2015. "A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks." Neurocomputing 155: 277-285. .
- 2015. "Multi-kernel probability distribution regression." .
Selected Awards and Honors
- Presidential Early Career Award for Scientists and Engineers (PECASE) 2006
- International Crime Analysis Association Research Award 2005
- National Science Foundation CAREER Award (NSF) 2005
- Office of Naval Research Young Investigator Award 2004
- NC Space Grant Consortium Research Seed Award 2003
- BS (Aerospace Engineering), Embry-Riddle Aeronautical University, 1997
- MA (Mechanical and Aerospace Engineering), Princeton University, 1999
- Ph D (Mechanical and Aerospace Engineering), Princeton University, 2002