Supervisor Profiles

You are looking for supervisors interested in developing an interdisciplinary project proposal? Then, have a look at our MatchMaking profiles which list the research interests and collaboration interests of our DASHH Principal Investigators in Applied Mathematics, Computer Science, and the Domain Sciences related to the structure of matter.

Prof. Sadia Bari (DESY)
Research Interests and Expertise
  • synchrotrons
  • free-electron lasers
  • (X)UV and X-ray spectroscopy
  • mass spectrometry of biomolecular ions
  • molecular physics
Potential Match-Making Fields
  • molecular dynamics simulations of biomolecules
    (peptides, proteins etc., interaction with water)
  • machine learning
  • pattern recognition algorithms
  • spectral calculations
Publications
Prof. Jan Baumbach (UHH)
Research Interests and Expertise
  • systems biology
  • network medicine
  • OMICS data analysis
  • artificial intelligence
  • machine learning
  • big data
  • combinatorial optimization
Potential Match-Making Fields
  • structural biology
  • protein structures
  • small compound structures
  • cell biology
  • quantum computing
Publications
Prof. Markus Ilchen (DESY/UHH)
Research Interests and Expertise
  • ultrafast dynamics in chiral matter
  • ultrafast dynamics in atomic and small molecular systems
  • charged-particle spectroscopy of transient and ionic matter
  • nonlinear spectroscopy in the X-ray regime
  • (X)FEL-based studies of fundamental electron dynamics
  • attosecond X-ray science
  • dichroic behavior of matter under circularly polarized laser, synchrotron, and free-electronlaser radiation
  • fundamental quantum mechanics in atomic and molecular systems
  • beam diagnostics using photoemission spectroscopy
  • ultrafast electron diffraction on small and chiral molecules
  • dynamics in small water-doped molecules
Potential Match-Making Fields
  • machine learning
  • signal processing, filtering, and denoising
  • pattern recognition
  • automization algorithms of control systems
  • image processing in spectroscopy
Publications
Prof. Robert Meißner (Hereon/TUHH)
Research Interests and Expertise
  • advanced molecular dynamics simulations
  • free energy calculations
  • nanofluidics
  • amorphous and hierarchical electrode materials
  • nanomechanics
  • corrosion of magnesium
  • machine learning in atomistic simulations
Potential Match-Making Fields
  • polymers
  • electrochemistry
  • X-ray crystallography
  • liquid-solid interfaces
  • nanoconfinement
Publications
Prof. Matthias Mnich (TUHH)
Research Interests and Expertise
  • algorithms
  • optimization
  • scheduling
  • artificial intelligence
  • data science
  • machine learning
  • computational complexity
  • quantum computing
Potential Match-Making Fields
  • crystallography
  • experiment scheduling
  • Ising models
  • design problems in bioinformatics
Publications
Prof. Matthias Rarey (UHH)
Research Interests and Expertise
  • algorithms and data management systems for small organic compounds, navigating chemical space
  • combinatorial and numerical optimization problems on molecular systems
  • chemical pattern matching, pattern generation and analytics
  • molecular docking with a focus on protein-ligand complexes, structure-based virtual screening
  • algorithms for generating, handling and comparing three-dimensional molecular models
  • database systems for managing and searching large collections of three-dimensional molecular structures
  • machine learning applications on small molecules and proteins
  • visual analytics of complex molecular data
  • user interface design for scientific software
Potential Match-Making Fields
  • computational problems in x-ray crystallography
  • computational problems in cryo electron microscopy
  • algorithms, databases, and visual analytics for molecular data
  • tricky combinatorial problems in natural sciences
Publications
Prof. Alexander Schlaefer (TUHH)
Research interests and expertise
  • robotics
  • navigation
  • machine learning
  • treatment planning
  • motion compensation
  • optical coherence tomography (OCT)
  • ultrasound
Potential match-making fields
  •  
Publications
Prof. Peer Stelldinger (HAW)
Research interests and expertise
  • Machine Learning
  • Computer Vision
  • Point Cloud Processing
  • Discrete Geometry and Topology
  • (Auto-)Stereoscopy
Potential match-making fields
  • Non-Standard Algorithms for Computer Vision Problems
  • Theory of Artificial Neural Networks
  • Efficient Processing of Point Cloud Data
  • Digitization and Topological Sampling Theorems
Publications
Prof. Winnifried Wollner (UHH)
Research Interests and Expertise
  • optimization, inverse problems, large scale optimization
  • optimization involving differential equations/inequalities
  • shape optimization, optimization under uncertainty
  • regularization
  • coupling of data driven and finite element simulations
Potential Match-Making Fields
  • mechanical engineering
  • material physics
  • new states of matter
  • others may also be possible depending on the needed input
Publications