Almir Mutapcic

Hello!

Almir Mutapcic

Ph.D.
Department of Electrical Engineering,
Stanford University
Advisor: Prof. Stephen P. Boyd

Office:
Packard 243, Stanford, CA 94305
Phone: (650) 723-9833
Email: almirm@stanford.edu
More about me

Home:
P.O. Box 19807, Stanford, CA 94309
Cell: (314) 680-6377

Resume

Interests and current research

Practical methods for robust optimization
Design of distributed algorithms for optimization and control
Energy and temperature aware operation of multi-processor systems
Convex optimization and its applications in engineering

Publications

Robust optimization methods in engineering:

Robust design of slow-light tapers in periodic waveguides (A. Mutapcic, S. Boyd, A. Farjadpour, S. Johnson, and Y. Avniel, 2006)

Robust beamforming and signal processing:

Robust beamforming via worst-case SINR maximization (S.-J. Kim, A. Magnani, A. Mutapcic, S. Boyd, and Z.-Q. Luo, 2006)
Beamforming with uncertain weights (A. Mutapcic, S.-J. Kim, and S. Boyd, 2006)
Array signal processing with robust rejection constraints via second-order cone programming (A. Mutapcic, S.-J. Kim, and S. Boyd, 2006)
Robust Chebyshev FIR equalization (A. Mutapcic, S.-J. Kim, and S. Boyd, 2007)

Energy and temperature aware processor systems:

Processor speed control with thermal constraints (A. Mutapcic, S. Boyd, S. Murali, D. Atienza, G. De Micheli, and R. Gupta, 2007)

Optimized slowdown in real-time task systems via geometric programming (A. Mutapcic, S. Murali, S. Boyd, R. Gupta, D. Atienza, and G. De Micheli, 2007)
Temperature-aware processor frequency assignment for MPSoCs using convex optimization (S. Murali, A. Mutapcic, D. Atienza, R. Gupta, S. Boyd, and G. De Micheli, 2007)

Network routing:

Dynamic routing and queue management via bundle subgradient methods (A. Mutapcic, M. Emami, and K. Mohajer, 2004)
Estimation-pruning (EP) algorithm for point-to-point travel cost minimization in a non-FIFO dynamic network (K. Mohajer, A. Mutapcic, and M. Emami, 2003)

Software

GGPLAB, A Simple Matlab Toolbox for Geometric Programming (GP)
GPPOSY, A Matlab primal-dual interior-point solver for GPs in posynomial form (K. Koh, S.-J. Kim, A. Mutapcic, and S. Boyd, 2005)

Last updated: September, 2007.