Computer Science

Prof. Marina Tropmann-Frick (HAW)
Research interests and expertise
  • Visual Analytics
  • Machine /Deep Learning
  • Data modeling and engineering
  • Predictive Analytics
  • Decision Support
  • Explainable AI/ML and Human-in-the-Loop
Potential match-making fields
  • data acquisition, engineering and analysis of massive data sets
  • explorative visual techniques for processing and analysis of data
  • privacy and ethics in Data Science

Algorithms and Complexity

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.

Bioinformatics / Cheminformatics

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

Bioinformatics / Computational Biology / Medical Informatics

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

Computational Science

Prof. Hans Fangohr (MPSD)
Research interests and expertise
  • simulation of magnetic nanostructures (micromagnetic and atomistic models)
  • user interfaces for scientific software
  • computational workflows and reproducibility
  • domain-specific languages in science
  • automatic code generation for computer simulation
  • application of machine learning techniques in science
  • research software engineering
  • data analysis and visualisation
Potential match-making fields
  • machine learning expertise
  • applications of topics listed above
  • visualisation

Computer Engineering

Prof. Görschwin Fey (TUHH)
Research interests and expertise
  • Computer Aided Design of Circuits and Systems
    • within this area: dependability, debugging, formal verification
Potential match-making fields
  • dependability
  • embedded systems
  • anomaly detection

Computer Vision

Prof. Simone Frintrop (UHH)
Research interests and expertise
  • computer vision, especially biologically inspired approaches
  • saliency modelling, visual attention, eye fixation predition
  • robot vision, especially algorithms for autonomous mobile robots such as service robots
  • prioritized data processing and active perception
  • deep learning in computer vision
  • computer vision for virtual and augmented reality
Potential match-making fields
  • object detection and classification
  • segmentation and semantic segmentation

Computational Material Science

Prof. Robert Meißner (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

Medical Technology and Intelligent Systems

Prof. Alexander Schlaefer (TUHH)
Research interests and expertise
  • robotics
  • navigation
  • machine learning
  • treatment planning
  • motion compensation
  • OCT
  • ultrasound
Potential match-making fields

Networking, Distributed Systems, Embedded Systems and Security

Prof. Thomas C. Schmidt (HAW)
Research interests and expertise
  • Computer Networks/Internet Technologies
  • Internet Measurement/Measurement Data Analysis
  • Internet Security/Security Measurement & Analysis
  • Internet of Things/Sensing and Embedded Systems
  • Internet Standards/Protocol Engineering
  • Distributed Systems/Large-scale Distributed Software
Potential match-making fields
  • IoT applications: Sensing and Control for Machinery and Maintenance
  • Real-time Data Analysis/Scalable Event Processing
  • Large-scale Distributed Simulation

Adaptive Distributed Systems, Agent-Oriented Software Development, Energy Informatics

Prof. Jan Sudeikat (HAW)
Research interests and expertise
  • Design of Adaptive, Distributed Systems
  • Selforganization in Distributed Systems
  • Multiagentsystems
  • Agent-oriented Software Engineering
  • Energy Informatics
Potential match-making fields
  • Design of adaptive control systems
  • Adaptive mechanisms for Cyber-Physical Systems (resource / task allocation, Scheduling, data preprocessing, … )
  • Self-X-Properties, via decentralized coordination
  • Mapping: agents & organization ßà phys. entities
  • Energy-management
  • Meta-heuristics for Optimization / Configuration of Cyber-Physical Systems

Human-Computer Interactions

Prof. Frank Steinicke (UHH)
Research interests and expertise
  • Virtual, Augmented and Mixed Reality
  • Natural User Interfaces
  • Spatial and 3D Interaction
  • Human-centered Artificial Intelligence
  • Multi-Touch Interaction
  • Human-Robot Interaction
  • Interactive Media and Devices
  • Interactive Computer Graphics
  • Intelligent/Smart Environments
  • Haptics and Weaarbles
Potential match-making fields
  • Perceptual and Social Psychology
  • Cognitive Science
  • Health applications
  • Neuroscience

Machine Learning

Prof. Gregor Kasieczka (UHH)
Research interests and expertise
  • Collider-based experimental particle physics
  • Searches for exotic new physics
  • Deep learning for object classification (images/point clouds/graphs)
  • Unsupervised anomaly detection/density estimation
  • Generative models for fast simulation
  • Uncertainty quantification via Bayesian networks
  • Decorrelation for robust of predictions
Potential match-making fields
  • Mathematics: e.g. analysis of latent spaces: topology, dimensionality
  • Other application domains: joint applications of unsupervised anomaly detection
  • Computer Science: Architecture development,
    e.g. for weakly supervised/unsupervised classification, uncertainty quantification, generative models for point-clouds
  • Applied Computer Science: adaptation of deep learning models to FPGAs for fast inference

Software Engineering

Prof. Walid Maaley (UHH)
Research interests and expertise
  • Software Engineering,
  • Requirements Engineering,
  • Applied Machine Learning,
  • DevOps,
  • Data-Driven Software Engineering,
  • Digital Design,
  • Machine Learning Engineering,
  • Mining Software Repositories
  • API Usability
  • End User Programming
  • Analytics
  • Recommender Systems
Potential match-making fields
  • Material Science
  • Experimental Physics (in particular virtualized experiments)
  • Applied Mathematics (in particular stochastic and approximation)
Prof. Sibylle Schupp (TUHH)
Research interests and expertise
  • Automated Software Engineering
  • Software Correctness
  • Domain-Specific Languages
  • Software-Implemented Hardware Fault Tolerance
  • Compiler Front-Ends
Potential match-making fields
  • Algorithms
  • Optimization
  • Data Cleaning
  • Software Renovation
  • Software Testing

Signal Processing

Prof. Timo Gerkmann (UHH)
Research interests and expertise
  • Noise reduction
  • Signal Processing
  • Source Separation
  • Speech Enhancement
  • Phase retrieval
  • Machine Learning
Potential match-making fields
  • Probabilistic Machine Learning
  • Generative Models
  • Phase Retrieval

Theoretical Computer Science, Computer Vision and Machine Learning

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