Nelson Bighetti

Nelson Bighetti

Professor of Artificial Intelligence

Stanford University

Biography

Nelson Bighetti is a professor of artificial intelligence at the Stanford AI Lab. His research interests include distributed robotics, mobile computing and programmable matter. He leads the Robotic Neurobiology group, which develops self-reconfiguring robots, systems of self-organizing robots, and mobile sensor networks.

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Interests
  • Artificial Intelligence
  • Computational Linguistics
  • Information Retrieval
Education

  • PhD in Artificial Intelligence, 2012

    Stanford University

  • MEng in Artificial Intelligence, 2009

    Massachusetts Institute of Technology

  • BSc in Artificial Intelligence, 2008

    Massachusetts Institute of Technology

Skills

R

90%

Statistics

100%

Photography

10%

Experience

 
 
 
 
 
GenCoin
CEO
GenCoin
Jan 2021 – Present California

Responsibilities include:

  • Analysing
  • Modelling
  • Deploying
 
 
 
 
 
University X
Professor of Semiconductor Physics
University X
Jan 2016 – Dec 2020 California
Taught electronic engineering and researched semiconductor physics.

Accomplish­ments

Coursera
Neural Networks and Deep Learning
Coursera Jan 2021
See certificate
edX
Formulated informed blockchain models, hypotheses, and use cases.
See certificate
DataCamp
Object-Oriented Programming in R
DataCamp Jul 2020 – Dec 2020
See certificate

Recent Posts

Welcome to Wowchemy, the website builder for Hugo
Welcome 👋 We know that first impressions are important, so we’ve populated your new site with some initial content to help you get familiar with everything in no time.
Nelson Bighetti, 吳恩達
Dec 13, 2020 3 min read Demo, 教程
Welcome to Wowchemy, the website builder for Hugo

Projects

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Model based automatic code generation for nonlinear model predictive control
Symbolic computation methods are employed to generate optimized C code for nonlinear model predictive controllers.

Recent & Upcoming Talks

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Jun 1, 2030 1:00 PM — 3:00 PM Wowchemy HQ
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Recent Publications

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Nelson Bighetti, Robert Ford (2013). An example conference paper. In ICW.

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Popular Topics

Academic code generation computer algebra system Deep Learning Maple nonlinear model predictive control 开源

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