Skip to main content
MIT Corporate Relations
MIT Corporate Relations
Search
×
Read
Watch
Attend
About
Connect
MIT Startup Exchange
Search
Sign-In
Register
Search
×
MIT ILP Home
Read
Faculty Features
Research
News
Watch
Attend
Conferences
Webinars
Learning Opportunities
About
Membership
Staff
For Faculty
Connect
Faculty/Researchers
Program Directors
MIT Startup Exchange
User Menu and Search
Search
Sign-In
Register
MIT ILP Home
Toggle menu
Search
Sign-in
Register
Read
Faculty Features
Research
News
Watch
Attend
Conferences
Webinars
Learning Opportunities
About
Membership
Staff
For Faculty
Connect
Faculty/Researchers
Program Directors
MIT Startup Exchange
Back to Faculty/Researchers
Prof. Pablo A Parrilo
Joseph F and Nancy P Keithley Professor of Electrical Engineering
Associate Director, Laboratory for Information and Decision Systems (LIDS)
Primary DLC
Department of Electrical Engineering and Computer Science
MIT Room:
32-D724
(617) 324-1542
parrilo@mit.edu
http://www.mit.edu/~parrilo/
Areas of Interest and Expertise
Convex and Algebraic Optimization
Control and Identification of Uncertain Complex Systems Robustness Analysis and Synthesis Development and Application of Computational Tools Based on Convex Optimization and Algorithmic Algebra to Practically Relevant Problems in Engineering, Economics and Physics
Recent Work
Projects
May 9, 2018
Department of Electrical Engineering and Computer Science
Lifts of Polytopes and Matrix Factorization
Principal Investigator
Pablo Parrilo
December 21, 2016
Department of Electrical Engineering and Computer Science
Algebraic Proof Systems, Convexity, and Algorithms
Principal Investigator
Pablo Parrilo
July 18, 2008
Department of Electrical Engineering and Computer Science
Advanced Optimization Methods: Theory and Computation for Emerging Applications
Principal Investigator
Pablo Parrilo
Related Faculty
Geoffrey X Yu
Graduate Student
Wengong Jin
Graduate Student
Prof. Phillip John Isola
Class of 1948 Career Development Associate Professor of Electrical Engineering and Computer Science