Dr. Francesco Borrelli

Professor

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Biography

Francesco Borrelli received his Laurea degree in Computer Science Engineering in 1998 from the University of Naples Federico II, Italy. He earned his PhD in 2002 from the Automatic Control Laboratory at ETH-Zurich, Switzerland. Currently, he is a Professor in the Department of Mechanical Engineering at the University of California, Berkeley, USA. He is the author of more than one hundred fifty publications in the field of predictive control and has published a book titled 'Predictive Control' through Cambridge University Press. He is a winner of the 2009 NSF CAREER Award and the 2012 IEEE Control System Technology Award. In 2016, he was elected as an IEEE Fellow and in 2017 he received the Industrial Achievement Award from the International Federation of Automatic Control (IFAC) Council. His professional experience includes serving as a consultant for major international corporations and founding BrightBox Technologies Inc., a company focused on cloud-computing optimization for autonomous systems, which was acquired by Flex, Inc. in 2016. He co-directs the Hyundai Center of Excellence in Integrated Vehicle Safety Systems and Control at UC Berkeley and is a co-founder of WideSense, Inc., a UC Berkeley spinoff focused on Mobility Contextual Intelligence.

Research Interests

Experience

Professor

— Present

University of California, Berkeley • Berkeley, CA

Teaching and researching in the Department of Mechanical Engineering.

Awards

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NSF CAREER Award

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IEEE Control System Technology Award

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IEEE Fellow

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Industrial Achievement Award

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.