Matt Kraning

Matt Kraning Ph.D. Candidate Department of Electrical Engineering Stanford University Advisor: Professor Stephen Boyd

Contact

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

Interests and current research

• Convex optimization

• Control for the smart grid

• Machine learning and large-scale data analysis

• Message passing algorithms and graphical models

Publications

• Dynamic Network Energy Management via Proximal Message Passing. M. Kraning, E. Chu, J. Lavaei, and S. Boyd. Submitted, To Appear: Foundations and Trends in Optimization 1(2).

• The Set of Solutions of Random XORSAT Formulae. M. Ibrahimi, Y. Kanoria, M. Kraning, and A. Montanari. Proceedings ACM-SIAM Symposium on Discrete Algorithms (SODA), 2012.

• Wind Turbine Pitch Optimization. B. Biegel, M. Juelsgaard, M. Kraning, S. Boyd, and J. Stoustrup. Proceedings 2011 IEEE Multi-Conference on Systems and Control, pages 1327–1334, September 2011.

• Operation and Configuration of a Storage Portfolio via Convex Optimization. M. Kraning, Y. Wang, E. Akuiyibo, and S. Boyd. Proceedings IFAC World Congress, pages 10487–10492, August 2011.

Teaching

Teaching assistant for:

• Convex Optimization I (EE364a), Spring 2010

• Convex Optimization II (EE364b), Spring 2011

• The Fourier Transform and Its Applications (EE261), Fall 2008, Fall 2009

• Linear Systems II (EE102B), Spring 2009

• Applied Quantum Mechanics II (EE223), Winter 2009

Education

• M.S., Electrical Engineering, Stanford University, June 2009

• B.S., Physics (w/ Distinction), Stanford University, June 2009