Added basic info and layout
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@@ -1,39 +1,45 @@
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---
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# Display name
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title: Nelson Bighetti
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title: Francisco Penedo Álvarez
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# Is this the primary user of the site?
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superuser: true
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# Role/position/tagline
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role: Professor of Artificial Intelligence
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role: PhD Systems Engineering
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# Organizations/Affiliations to show in About widget
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organizations:
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- name: Stanford University
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url: https://www.stanford.edu/
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- name: Boston University
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url: https://www.bu.edu/
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# Short bio (displayed in user profile at end of posts)
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bio: My research interests include distributed robotics, mobile computing and programmable matter.
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bio: My research interests include formal methods, temporal logics and optimization.
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# Interests to show in About widget
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interests:
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- Artificial Intelligence
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- Computational Linguistics
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- Information Retrieval
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- Formal Methods
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- Temporal Logics
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- Optimization
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- Machine Learning
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- Path Planning
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- Meta-Materials
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# Education to show in About widget
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education:
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courses:
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- course: PhD in Artificial Intelligence
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institution: Stanford University
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year: 2012
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- course: MEng in Artificial Intelligence
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institution: Massachusetts Institute of Technology
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year: 2009
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- course: BSc in Artificial Intelligence
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institution: Massachusetts Institute of Technology
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year: 2008
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- course: PhD in Systems Engineering
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institution: Boston University
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year: 2020
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- course: MEng in Systems Engineering
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institution: Boston University
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year: 2020
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- course: BSc in Computer Science
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institution: Universidad Autónoma de Madrid
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year: 2014
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- course: BSc in Mathematics
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institution: Universidad Autónoma de Madrid
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year: 2014
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# Social/Academic Networking
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# For available icons, see: https://sourcethemes.com/academic/docs/page-builder/#icons
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@@ -43,18 +49,18 @@ social:
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- icon: envelope
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icon_pack: fas
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link: '/#contact'
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- icon: twitter
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icon_pack: fab
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link: https://twitter.com/GeorgeCushen
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- icon: graduation-cap # Alternatively, use `google-scholar` icon from `ai` icon pack
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icon_pack: fas
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link: https://scholar.google.co.uk/citations?user=sIwtMXoAAAAJ
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# - icon: twitter
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# icon_pack: fab
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# link: https://twitter.com/GeorgeCushen
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# - icon: graduation-cap # Alternatively, use `google-scholar` icon from `ai` icon pack
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# icon_pack: fas
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# link: https://scholar.google.co.uk/citations?user=sIwtMXoAAAAJ
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- icon: github
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icon_pack: fab
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link: https://github.com/gcushen
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link: https://github.com/fran-penedo/
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- icon: linkedin
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icon_pack: fab
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link: https://www.linkedin.com/
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link: https://www.linkedin.com/in/francisco-penedo-alvarez-b90468203/
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# Link to a PDF of your resume/CV.
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# To use: copy your resume to `static/media/resume.pdf`, enable `ai` icons in `params.toml`,
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@@ -70,8 +76,8 @@ email: ""
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highlight_name: false
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---
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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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I am a recent graduate from [Boston University](http://www.bu.edu), where I obtained my PhD in Systems Engineering in 2020 from the [Division of Systems Engineering](http://www.bu.edu/eng/departments/se/), where I worked in the [BU Robotics Laboratory](http://sites.bu.edu/robotics/). In 2014, I obtained a BS degree in Computer Science from the [Polytechnic School](http://www.uam.es/ss/Satellite/EscuelaPolitecnica/es/home.htm), as well as a BS degree in Mathematics from the [College of Science](https://www.uam.es/Ciencias/Home.htm), both part of the [Autonomous University of Madrid](http://uam.es/UAM/Home.htm).
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My research centers around the development of a framework to automatically synthesize and verify physical systems, specifically those modeled by partial differential equations, with constraints expressed in a user-friendly language. To this end, I employ tools and techniques from formal methods, temporal logics, optimization, machine learning and control theory.
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{{< icon name="download" pack="fas" >}} Download my {{< staticref "media/demo_resume.pdf" "newtab" >}}resumé{{< /staticref >}}.
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