Jacob Mattingley

Jacob Mattingley () Ph.D. Candidate Department of Electrical Engineering Stanford University Advisor: Professor Stephen Boyd

Contact

Packard 243, Stanford, CA 94305
jacobm@stanford.edu

Interests and current research

• Automatic code generation for real-time embedded convex optimization

• Computer modelling of convex problems

• Engineering applications of convex optimization

• Signal processing

Papers

• Real-Time Convex Optimization in Signal Processing, J. Mattingley and S. Boyd, submitted to IEEE Signal Processing Magazine.

• Automatic Code Generation for Real-Time Convex Optimization, J. Mattingley and S. Boyd, chapter in Convex Optimization in Signal Processing and Communications, Y. Eldar and D. Palomar, Eds., Cambridge University Press, 2009.

Talks

• CVXMOD: Convex optimization in Python, a talk at the INFORMS Annual Meeting in Washington DC, 2008.

Software

• CVXMOD, a Python tool for convex optimization (currently in alpha)

• jemdoc, a light, equation supporting, text-based markup language for creating websites

Teaching

Instructor for:

• Introduction to Linear Dynamical Systems (EE263s), Summer 2009

Teaching assistant for:

• Introduction to Linear Dynamical Systems (EE263), Autumn 2006, 2007 and 2008

• Linear Dynamical Systems (EE363), Winter 2009

• Convex Optimization I (EE364a), Winter 2008

• Convex Optimization II (EE364b), Winter 2007 and Spring 2008

Education

• M.S., Electrical Engineering, Stanford University, June 2007

• B.E. (Hons) (First class), Electrical and Computer Engineering, Canterbury University, April 2005

Random stuff

• 80 character Matlab LP solver.

• vim:essentials, a short page describing some of the essential features of the vim text editor.

• Matrix multiplication speeds in C.

• Various computation speeds in C.

• Some notes about various computer-related things (for my reference as much as anyone else’s).