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Ignas Satkauskas


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Ignas Satkauskas's LinkedIn profile

DisclaimerAny opinions expressed on LinkedIn are the author’s own, made in the author's individual capacity, and do not necessarily reflect the views of NREL.

Ignas Satkauskas is a postdoctoral researcher in the Complex Systems Simulation and Optimization Group in NREL's Computational Science Center.  At NREL, Ignas takes part in various projects including operations of electrical grids under uncertainty, optimization of turbine design, coupling of computational fluid dynamics algorithms, modeling of hybrid energy systems, and design and analysis of synthetic power grids with large renewable energy penetrations.

Ignas has a strong background in numerical analysis, probability, statistics. His interests include stochastic and deterministic optimization, uncertainty quantification, complex network theory, data science, machine learning, visualization, and high-performance computing. He received his doctorate in Applied Mathematics from University of Colorado where he developed advanced numerical calculus of probability density functions.

Research Interests

Renewable energy and electric grid operations 
Stochastic and deterministic optimization  
Accurate approximation methods and multiresolution 
Complex network theory 
Data analytics and machine learning 
Computational fluid dynamics 
High-performance computing  

Professional Experience

Postdoctoral Researcher, NREL (2018–present)

Research/Teaching Assistant, University of Colorado (2012–2017)

Education/Academic Qualification

PhD, Applied Mathematics, University of Colorado

Master, Applied Mathematics, University of Colorado

Bachelor, Mathematics, University of Colorado


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