Profile

Stephen P. Boyd is the Samsung Professor of Engineering, and

Chair of the Electrical Engineering Department at Stanford

University. He holds courtesy appointments in the

departments of Computer Science and Management Science

and Engineering, and is a member of the Institute for

Computational Mathematics and Engineering.

His current interests include convex optimization applications

in control, machine learning, signal processing, and finance. He

received an AB degree in Mathematics, summa cum laude,

from Harvard University in 1980, and a PhD in EECS from U.

C. Berkeley in 1985. He holds honorary doctorates from Royal

Institute of Technology (KTH) and Catholic University of

Louvain (UCL). He is the author of many papers and several

books, including Introduction to Applied Linear Algebra,

Convex Optimization, Linear Matrix Inequalities in Systems

and Control, and Linear Controller Design: Limits of

Performance.

His group has created many open source software packages,

including the widely used packages for convex optimization

CVX, CVXPY, and Convex.jl. He is a fellow of IEEE, SIAM,

and INFORMS, a member of the National Academy of

Engineering, a foreign member of the Chinese Academy of

Engineering, and a foreign member of the National Academy

of Engineering of Korea.

(See https://web.stanford.edu/~boyd/)