Applied Mathematics
Applied Analysis
Dr. Christian Seifert (TUHH)
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applied functional analysis
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mathematical physics
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partial differential equations
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evolution equations
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approximation
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influence of randomness
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uncertainty quantification
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neural networks
Potential Match-Making Fields
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data science
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machine learning
Publications
Applied Mathematics
Prof. Nihat Ay (TUHH)
- information geometry and its applications to biology
- mathematical theory of learning in the context of neural networks, cognitive systems, and robotics
- machine learning
- graphical models (Bayesian networks) and their applications to causality theory
- complexity and information theory
- geometric structures in quantum information theory
Potential Match-Making Fields
- inverse problems (in particular, in the context of scattering and diffraction patterns)
- neuronal representation and inference of physical structures and laws
- causal inference
- prediction and active inference
Publications
Prof. Martin Burger (DESY/UHH)
- inverse problems
- computational imaging
- regularization methods
- partial differential equations
- variational methods
- numerical methods for differential equations
- mathematical modeling
- many particle systems
- uncertainty quantification
- convex optimization
Potential Match-Making Fields
- inverse problems and image reconstruction
- machine learning
- simulation and modelling of imaging techniques
- numerical algorithms for differential equations
- signal and image processing
Publications
Computational Mathematics
Prof. Sabine Le Borne (TUHH)
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numerical linear algebra
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iterative solvers
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preconditioners
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rank structured/hierarchical matrices
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data fitting
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radial basis functions
Potential Match-Making Fields
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modeling and simulation with partial differential equations
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population balance equations
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multivariate aggregation
Publications
Prof. Daniel Ruprecht (TUHH)
- computational mathematics and numerical algorithms
- high-performance computing
- parallel-in-time integration methods
- time-dependent differential equations and initial value problems
- optimization
Potential Match-Making Fields
- modeling and simulation with partial differential equations
- modelling and simulation with time-dependent differential equations
- simulations of fast ion trajectories
Publications
Discrete Mathematics
Prof. Anusch Taraz (TUHH)
- discrete mathematics
- combinatorial optimization
- random discrete structures
- randomized algorithms
- probabilistic and extremal combinatorics
Potential Match-Making Fields
- complex networks
- random graphs
- average-case analysis of algorithms
- positional games
Publications
Intelligent Process Control
Prof. Annika Eichler (DESY/TUHH)
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control theory
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feedback controller design for stability and robustness
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fault diagnosis
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supervisory control
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mode predictive control
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merging data-driven with model-based control and diagnosis techniques
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reinforcement leaning and dynamic programming
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distributed control concepts and distributed optimization
Potential Match-Making Fields
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machine learning
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data sciences
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predictive maintenance
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optimization
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computer science
Publications
Machine Learning Methods, Data Analysis Methods, Dynamical Systems
Prof. Sarah Hallerberg (HAW)
Research Interests and Expertise
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dynamics of learning networks
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automated analysis of (bio-)acoustic data
Potential Match-Making Fields
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data analysis
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machine learning
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dynamical systems
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time-series analysis
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predictability of rare events and critical transitions
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predictive maintenance
Publications
Numerical Mathematics
Prof. Michael Breuer (HSU)
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fluid mechanics
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turbulence
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fluid-structure interaction
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multiphase flows
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particle-laden flows
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computational fluid dynamics
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large-eddy simulation
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direct numerical simulation
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high-performance computing
Potential Match-Making Fields
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modeling and simulation with partial differential equations
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numerical algorithms for continuum mechanics and particle tracking
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multiphysics
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high-performance computing
Publications
Prof. Armin Iske (UHH)
- approximation theory and algorithms for mathematical data analysis
- kernel-based multivariate scattered data approximation
- meshfree methods for partial differential equations
- geometrical methods in dimensionality reduction
Potential Match-Making Fields
- applications of particle methods in fluid flow simulation
- mathematical signal processing
- adaptive approximation for sparse data representations
Publications
Dr. Jens-Peter Zemke (TUHH)
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numerical linear algebra
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Krylov subspace methods
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eigenvalue problems
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perturbation theory
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round-off error analysis
Potential Match-Making Fields
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structure and symmetries
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initialization and training of neural networks
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fast implementation of numerical schemes
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optimization and regularization
Publications
Optimization
Prof. Winnifried Wollner (UHH)
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optimization, inverse problems, large scale optimization
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optimization involving differential equations/inequalities
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shape optimization, optimization under uncertainty
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regularization
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coupling of data driven and finite element simulations
Potential Match-Making Fields
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mechanical engineering
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material physics
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new states of matter
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others may also be possible depending on the needed input
Publications
Scientific Computing
Prof. Jörn Behrens (UHH)
- numerical methods for (geophysical) fluid flow
- adaptive mesh refinement
- multiscale numerical methods
- efficient algorithms
- uncertainty treatment in numerical simulations
Potential Match-Making Fields
- adaptive two- and three-dimensional tracer dispersion
- multiscale representation of subgrid processes in transport dominated flows
- structure-preserving numerical methods for conservation laws
- methods for wetting and drying boundary conditions
Publications