### Boris Krämer

I am very excited to start as an Assistant Professor in Mechanical & Aerospace Engineering at the University of California, San Diego, this Fall.

I am broadly interested in ** computational methods and numerical analysis for control, optimization, design and uncertainty quantification of complex and large-scale dynamical systems **. I have worked on using reduced-order models in the context of multifidelity and data-driven modeling, optimization and control, uncertainty quantification, reliability-based design, and design under uncertainty. My postdoc supervisor is Professor Karen Willcox. More information on my CV.

I am currently involved in the Air Force Center of Excellence Multi-Fidelity Modeling of Rocket Combustion Dynamics.

You can find papers and citations on this webpage, and on Google Scholar and ResearchGate. My professional profile is at LinkedIn. I have a persistent digital identifier as my ORCiD profile and my peer-reviewing service profile is at Publons.

### Contact

Postdoctoral Research Associate

Department of Aeronautics and Astronautics

Aerospace Computational Design Lab (ACDL)

Massachusetts Institute of Technology

77 Massachusetts Avenue :: 37-312

Cambridge, MA 02139, USA

### News

07/28 - 08/01/2019: I'll attend the 15th U.S. National Congress on Computational Mechanics in Austin, TX and will be presenting Multifidelity Estimation of Risk Measures in Robust Design on July 31 from 3:40pm-4:00pm in MS#205 Multilevel/Multifidelity Strategies for Uncertainty Quantification.

Two papers that I co-authored are on the most-cited list of SIAM Journal of Uncertainty Quantification (accessed 06/17/2019), see Conditional-Value-at-Risk Estimation via Reduced-Order Models (with Matthias Heinkenschloss, Timur Takhtaganov, Karen Willcox) and Multifidelity Preconditioning of the Cross-Entropy Method for Rare Event Simulation and Failure Probability Estimation (with Benjamin Peherstorfer, Karen Willcox).

06/17/2019: Our conference paper Transform & Learn: A data-driven approach to nonlinear model reduction. (with Elizabeth Qian, Alexandre Marques and Karen Willcox) appeared in the proceedings of the AIAA Aviation 2019 Forum.

05/06/2019: Our paper Multifidelity probability estimation via fusion of estimators (with Alexandre Marques, Umberto Villa, Benjamin Peherstorfer and Karen Willcox) is now published at the Journal of Computational Physics, link.

04/23/2019: We posted a paper on Adaptive reduced-order model construction for conditional value-at-risk estimation (with Matthias Heinkenschloss and Timur Takhtaganov).

04/22/2019: Our paper Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition (with Karen Willcox) appeared online at AIAA Journal, link.

01/29/2019: We posted a paper on Information reuse for importance sampling in reliability-based design optimization (with Anirban Chaudhuri and Karen Willcox).

12/04/2018: After 3.5 years of review, our patent finally got granted: US10145576B2: System and method for controlling operations of air-conditioning system.