Silvia Ferrari
Silvia Ferrari is an aerospace engineer and AI researcher whose work connects learning and control with aircraft, sensors, and robotics. She coauthored neural-network flight control with Robert Stengel in 2004 and received three research awards from 2004 to 2006. In 2019, she studied moth brains for principles that could improve drone flight and collaborated with Georgia Tech and Carnegie Mellon researchers on AI methods for autonomous vehicles; her 2021 book with Thomas Wettergren presents algorithms for active sensing. In 2024, she applied robotics to scuba technology for diver safety. As of October 2026, she directs LISC and co-directs Cornell’s Věho Institute on Vehicle Intelligence.
- Now at
- Cornell-Unibo Věho Institute on Vehicle Intelligence
- Born
- 1973
Years link to their sources.
Timeline
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1997–2002
Degrees at Embry-Riddle and Princeton
She earns a B.S. in aerospace engineering at Embry-Riddle in 1997, an M.A. in mechanical and aerospace engineering at Princeton in 1999, and a Ph.D. in the same field at Princeton in 2002.
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2004
Adaptive critic flight control
In 2004, she coauthors “Online adaptive critic flight control” with Robert F. Stengel. The paper presents a two-phase learning procedure for a neural-network controller and tests it on a six-degree-of-freedom business-jet simulation. The controller improves performance when it faces unexpected conditions.
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2004–2006
Three research awards
She receives the ONR Young Investigator Award in 2004, the NSF CAREER Award in 2005, and the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2006.
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2019
Moth brains and autonomous vehicles
She receives a $400,000 grant from the Air Force Office of Scientific Research in 2019 to study moth brains for principles that could improve drone flight. In related work in 2019, she collaborates with researchers from Georgia Tech and Carnegie Mellon University on a $1.8 million grant from Georgia Tech to develop a method of combining data from different sources, including AI algorithms, for autonomous vehicles.
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2021
Information-driven planning and control
In 2021, she and Thomas A. Wettergren publish Information-Driven Planning and Control through The MIT Press. The book presents planning and control algorithms for active sensing, with examples of applications for specific sensor technologies.
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September 2022
Associate dean at Cornell
Before joining Cornell, she serves as a professor of engineering and computer science at Duke, where she founds and directs an NSF Integrative Graduate Education and Research Traineeship and Fellowship program on Wireless Intelligent Sensor Networks. In September 2022, Cornell names her its inaugural associate dean for cross-campus engineering research.
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2024
Robotics for diver safety
In 2024, she applies her work on complex systems to integrating scuba-diving technology with robotic systems. Her work on underwater robotics and autonomous underwater vehicles includes robots that assist divers with complex underwater tasks and help make them safer.
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As of October 2026
Directing LISC and Věho
As of October 2026, she directs Cornell’s Laboratory for Intelligent Systems and Controls (LISC) and co-directs the Cornell-Unibo Věho Institute on Vehicle Intelligence at Cornell Tech.
Career
- NowCornell UniversityAssociate dean for cross-campus engineering research
- NowCornell-Unibo Věho Institute on Vehicle IntelligenceCo-director
- Until 2022Duke UniversityProfessor of engineering and computer science
Education
- 2002Princeton UniversityPh.D. in mechanical and aerospace engineering
- 1999Princeton UniversityM.A. in mechanical and aerospace engineering
- 1997Embry–Riddle Aeronautical UniversityB.S. in aerospace engineering
Sources and credits
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- Silvia Ferrari | Cornell Duffield Engineering
- Online adaptive critic flight control - Princeton University
- Study explores moth brains to improve drone flight - Cornell Chronicle
- Information-Driven Planning and Control - Penguin Random House
- New position to intensify cross-campus engineering research - Cornell Chronicle
- Silvia Ferrari - Divers Alert Network