Dr. Pierluigi Nuzzo

Associate Professor

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Biography

Pierluigi Nuzzo is an Associate Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He received his Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley in 2015 and holds B.S. and M.S. degrees in electrical computer engineering from the University of Pisa and the Sant'Anna School of Advanced Studies in Italy. His research focuses on high-assurance design of cyber-physical systems and systems-on-chip, emphasizing the entire spectrum of mathematical foundations, design tools, and applications, particularly in compositional methods for system design and requirement engineering. His research interests include methodologies and tools for design certification, artificial intelligence, autonomous systems, secure and trustworthy hardware design, as well as mixed-signal electronic design automation. Nuzzo has held faculty positions at the University of Southern California where he was the Co-Director of the USC Center for Autonomy and Artificial Intelligence, and has worked in research roles at the University of Pisa and IMEC in Leuven, Belgium, specializing in analog mixed-signal integrated circuit design. He has received several notable awards including the NSF CAREER Award and the DARPA Young Faculty Award.

Research Interests

Experience

Associate Professor

— Present

University of California, Berkeley • Berkeley, CA

Teaching and research in electrical engineering and computer sciences.

Awards

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NSF CAREER Award

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DARPA Young Faculty Award

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IEEE Technical Committee Cyber-Physical Systems Early-Career Award

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Okawa Foundation Research Grant

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IEEE Council Electronic Design Automation Ernest S. Kuh Early Career Award

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UC Berkeley EECS David J. Sakrison Memorial Prize

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UC Berkeley Outstanding Graduate Student Instructor Award

Courses

EECS 144. Introduction to Design Automation EECS 244. Introduction to Design Automation

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.