Pablo A. Parrilo is affiliated with MIT in the United States. Their research spans multiple fields including Computer Science, Engineering, and Mathematics, with a focus on several subfields such as Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics, Artificial Intelligence, and Computer Vision and Pattern Recognition.
The main areas of study addressed by Pablo A. Parrilo include Advanced Optimization Algorithms Research, Sparse and Compressive Sensing Techniques, Complexity and Algorithms in Graphs, Stochastic Gradient Optimization Techniques, Robotic Path Planning Algorithms, Polynomial and Algebraic Computation, and Optimization and Search Problems.
They have authored several recent papers, among them:
Common co-authors frequently collaborating with Pablo A. Parrilo include:
They have published extensively in venues such as:
In addition to journal articles, Pablo A. Parrilo has contributed to book publications. One known work is Sum of Squares: Theory and Applications, published by the American Mathematical Society in 2020.
Professional recognition includes being named a SIAM Fellow in 2018 for foundational contributions to algebraic methods in optimization and engineering, as well as being an IEEE Fellow in 2016 for work on semidefinite and sum-of-squares optimization.
Benjamin Recht;Maryam Fazel;Pablo A. Parrilo
Pablo A. Parrilo
A. Nedic;A. Ozdaglar;P.A. Parrilo
Pablo A. Parrilo
Venkat Chandrasekaran;Benjamin Recht;Pablo A. Parrilo;Alan S. Willsky
Venkat Chandrasekaran;Sujay Sanghavi;Pablo A. Parrilo;Alan S. Willsky
Grigoriy Blekherman;Pablo A. Parrilo;Rekha R. Thomas
S. Prajna;A. Papachristodoulou;P.A. Parrilo
Venkat Chandrasekaran;Pablo A. Parrilo;Alan S. Willsky
Andrew C. Doherty;Pablo A. Parrilo;Federico M. Spedalieri
A. C. Doherty;Pablo A. Parrilo;Pablo A. Parrilo;Federico M. Spedalieri
Karin Gatermann;Pablo A. Parrilo
S. Prajna;A. Papachristodoulou;P. Seiler;P.A. Parrilo
Venkat Chandrasekaran;Sujay Sanghavi;Pablo A. Parrilo;Alan S. Willsky
S. Prajna;P.A. Parrilo;A. Rantzer
Pablo A. Parrilo;Bernd Sturmfels
Dimitris Bertsimas;Dan A. Iancu;Pablo A. Parrilo
Erin M. Aylward;Pablo A. Parrilo;Jean-Jacques E. Slotine
Dimitris Bertsimas;Dan A. Iancu;Pablo A. Parrilo
Parikshit Shah;Pablo A. Parrilo
If you think any of the details on this page are incorrect, let us know.
For students interested in Mathematics, numerous related online degrees can complement and expand career opportunities. Those aiming for leadership roles in business might consider the fastest MBA programs online, which offer flexible study options and accelerated timelines.
Additionally, pursuing advanced specialization in finance can be highly advantageous. Programs such as the cheapest online masters in finance provide a cost-effective path to gaining expertise in financial analysis, risk management, and quantitative modeling—key skills for mathematically inclined professionals.
For those interested in combining business acumen with deep research capabilities, exploring the cheapest DBA online might be worthwhile. Doctorate degrees in business administration can open doors to executive roles or academic careers.
Finally, master's programs like the masters in marketing offer strong career prospects by merging analytical skills with market strategies. These programs often attract those with a quantitative background seeking to integrate data-driven insights into marketing.
Technical University of Denmark
Tsinghua University
University of Kansas
Harvard Medical School
École Polytechnique Fédérale de Lausanne
Statens Serum Institut
Istituto Neurologico Carlo Besta
National Institute on Drug Abuse
National Institute for Environmental Studies
University of California, San Diego
University of Birmingham
Newcastle University
University of Sheffield
San Diego State University
Erasmus University Rotterdam
University of Oxford
