Nikolaj Takata Mücke Email & Phone Number
Who is Nikolaj Takata Mücke? Overview
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Nikolaj Takata Mücke is listed as Postdoctoral Researcher at Delft University of Technology, a with 10059 employees, based in Amsterdam, North Holland, Netherlands. AeroLeads shows a matched LinkedIn profile for Nikolaj Takata Mücke.
Nikolaj Takata Mücke previously worked as AI Lead at Spatialise and Postdoc at Centrum Wiskunde & Informatica. Nikolaj Takata Mücke holds Master Of Science In Engineering (M.Sc. Eng), Mathematical Modelling And Computation, Gpa: 10.9/12 from Dtu - Technical University Of Denmark.
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About Nikolaj Takata Mücke
Mathematics is, in many ways, the ideal tool for understanding and making the best of the world surrounding us. Whether it is chemical reactions, image recognition, optimal shape design or social graphs, mathematics make up an amazing framework to analyze and study these phenomena. That is why I have chosen to specialize in applied mathematics. With my background, I have built up a giant toolbox of methodologies and frameworks that works as an abstract playground for problems from various areas. While I have a strong mathematical foundation which enables me to quickly learn and adapt to new areas, I am primarily specialized in scientific computing and machine learning. Currently, I am particularly active in the following research areas:- Physics-Informed Deep Learning- Generative Models- Digital Twins- Data Assimilation- Reduced Order Modeling- Uncertainty Quantification - Fluid DynamicsFurthermore, I have experience in the following topics:- Optimization and Control- High-Perfomance Computing- Functional Analysis
Listed skills include Mathematical Modelling, Dynamical Systems, Matlab, Optimization, and 4 others.
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Nikolaj Takata Mücke work experience
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Ai Lead
Postdoc
Phd Candidate
The name of my project is "Physics based ICT: The digital twin in pipelines".In short, we are working on developing a digital for pipelines with a special focus on leak detection. In order to have a digital twin working in real-time it needs to be able to assimilate data in real-time. This is, in general, not possible for large scale applications where simulations take a long time. Therefore, a major part of the project is about utilising deep learning for surrogate modelling… Show more The name of my project is "Physics based ICT: The digital twin in pipelines".In short, we are working on developing a digital for pipelines with a special focus on leak detection. In order to have a digital twin working in real-time it needs to be able to assimilate data in real-time. This is, in general, not possible for large scale applications where simulations take a long time. Therefore, a major part of the project is about utilising deep learning for surrogate modelling. Furthermore, the modelling of the uncertainty plays a crucial role. Every estimate needs to be accompanied by a probability distribution so the reliability can be taken into account as well. For such modelling, we make use of Bayesian inference and generative deep learning. Show less
Ai Lead
We collect, combine, analyze and visualize spatial data to extract practical insights for you
Research Assistant
The research project deals with low noise supercontinuum sources for ultra-high resolution 800nmoptical coherence tomography for glaucoma diagnosis. I am working on GPU acceleration of a C++implementation of the 4th order Runge-Kutta Interaction Picture method to solve the generalizednonlinear Schrodinger Equation.
Student Assistant In Numerical Competence Centre
Assisting in the development and improvement of new and/or existing computational tools for various tasks within wind energy R&D. For example decreasing the computation time as well as improving the precision of the computation of buckling in wind turbine foundations and analysing various methods for taking hindcast weather and wave data into account for optimal planning of wind turbine farm constructions.
Teaching Assistant
Teaching assistant in the courses:01035 - Advanced Engineering Mathematics 2 (Fall 2018) - Awarded TA of the year02685 - Scientific Computing for Differential Equations (Spring 2018)02687 - Scientific Computing for Differential Equations 2 (Spring 2018)
Nikolaj Takata Mücke education
Master Of Science In Engineering (M.Sc. Eng), Mathematical Modelling And Computation, Gpa: 10.9/12
Exchange Semester, Applied And Computational Mathematics
Bachelor Of Science In Engineering (B.Sc. Eng), Mathematics And Technology, Gpa: 10.5/12
Exchange Semester, Pure And Applied Mathematics
International Graduate Summer School On "Frontiers Of Applied And Computational Mathematics"
Experiencing China 2017, Chinese Studies
Studentereksamen, Krop Og Kultur, Gpa: 10.4/12
Frequently asked questions about Nikolaj Takata Mücke
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What company does Nikolaj Takata Mücke work for?
Nikolaj Takata Mücke works for Delft University of Technology.
What is Nikolaj Takata Mücke's role at Delft University of Technology?
Nikolaj Takata Mücke is listed as Postdoctoral Researcher at Delft University of Technology.
Where is Nikolaj Takata Mücke based?
Nikolaj Takata Mücke is based in Amsterdam, North Holland, Netherlands while working with Delft University of Technology.
What companies has Nikolaj Takata Mücke worked for?
Nikolaj Takata Mücke has worked for Delft University Of Technology, Spatialise, Centrum Wiskunde & Informatica, Dtu - Technical University Of Denmark, and Ørsted.
How can I contact Nikolaj Takata Mücke?
You can use AeroLeads to view verified contact signals for Nikolaj Takata Mücke at Delft University of Technology, including work email, phone, and LinkedIn data when available.
What schools did Nikolaj Takata Mücke attend?
Nikolaj Takata Mücke holds Master Of Science In Engineering (M.Sc. Eng), Mathematical Modelling And Computation, Gpa: 10.9/12 from Dtu - Technical University Of Denmark.
What skills is Nikolaj Takata Mücke known for?
Nikolaj Takata Mücke is listed with skills including Mathematical Modelling, Dynamical Systems, Matlab, Optimization, Simulation, Statistics, Numerical Computations, and R.
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