Diego Cifuentes is postdoctoral researcher at MPI MiS. He completed his Ph.D. in the Electrical Engineering and Computer Science department at MIT under the supervision of Pablo Parrilo.
His main interests lie in polynomial optimization problems and their applications in engineering and the sciences. Though polynomial optimization is very hard in general, quite often can be approximated efﬁciently through a technique known as semideﬁnite programming. The effectiveness of this approximation is intricately connected to Hilbert’s 17th problem: writing nonnegative polynomials as sum of squares.
June 26, 2018