### Boris Krämer

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 Mechanis in Austin, TX and will be presenting Multifidelity Estimation of Risk Measures in Robust Design.

04/04 - 04/05/2019: I'll attend the East Coast Optimization Meeting 2019 at George Mason University and will be presenting recent results on conditional-value-at-risk estimation via reduced models.

02/01/2019: Our paper Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition (with Karen Willcox) got accepted to AIAA Journal. A preprint is posted on arxiv here.

01/29/2019: We just posted a paper on Information Reuse for Importance Sampling in Reliability-Based Design Optimization.

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.