Dr. Silvia Ferrari

Professor

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Biography

Silvia Ferrari is a John Brancaccio Professor in Mechanical Aerospace Engineering at Cornell University. She previously served as a Professor of Engineering at Duke University, where she was the Founder and Director of the NSF Integrative Graduate Education Research Traineeship (IGERT) Fellowship program in Wireless Intelligent Sensor Networks (WISeNet). She is currently the Director of the Laboratory for Intelligent Systems Control (LISC) at Cornell University and co-Director of the Cornell-Unibo Věho Institute for Vehicle Intelligence at Cornell Tech. Her principal research interests include active perception, robust adaptive control, learning, and approximate dynamic programming for controlling multiscale dynamical systems. Professor Ferrari has authored the book “Information-driven Path Planning Control” published by MIT Press in 2020 and delivered a TED talk titled “Robots Dream of Electric Sheep.” She has received numerous accolades including the ONR Young Investigator Award, NSF CAREER Award, and the Presidential Early Career Award for Scientists and Engineers (PECASE). Her contributions lie in areas of computational intelligence, sensorimotor learning, and new theoretical methods for adaptive dynamic programming and reinforcement learning.

Research Interests

Awards

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Outstanding Research Award

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Elected Fellow

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Elected Fellow

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Presidential Early Career Award for Scientists and Engineers (PECASE)

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International Crime Analysis Association Research Award

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National Science Foundation CAREER Award

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Office of Naval Research Young Investigator Award

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NC Space Grant Consortium Research Seed Award

Requirements for Cornell University

Master Program
Requirements
TOEFL
Listening
Required:15
Reading
Required:20
Writing
Required:20
Speaking
Required:22
Total
Required:100
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree in Architecture or related field
Application Checklist
  • Online application
  • Portfolio (SlideRoom)
  • Academic Statement of Purpose
  • Personal Statement
  • Transcripts
  • Two letters of recommendation
  • Resume/CV
Specialization Notes

Department of Architecture