Computer Science

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

Prof. Michael Köhler-Bußmeier (HAW)
Research interests and expertise
  • Adaptive Multi-Agent Systems
  • Petri Nets and Process Algebra
  • Inter-Organisational Workflows
  • Executable Specifications
  • Model Transformations
  • Analysis of Concurrent Systems
  • Self-X properties, Self-organisation
  • models@run.time
  • Emergence and Autopoiese
  • Social Networks
  • Complexity Theory
Potential match-making fields
  • Agent-Oriented Software Engineering
  • Cyber-Physical Systems
  • Dynamic System Architectures
  • Acting under Uncertainty
  • Real-Time and On-Line Learning
Publications
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 <--> phys. entities
  • Energy-management
  • Meta-heuristics for Optimization / Configuration of Cyber-Physical Systems
Publications

AI Engineering

Prof. Walid Maalej (UHH)
Research interests and expertise
  • Software Engineering for Data Science and AI
  • AI for Software Engineering
  • Requirements and Design
  • Human-AI Teaming
  • Applied Machine Learning
  • Trustworthy AI 
Potential match-making fields
  • Material Science
  • Experimental Physics (in particular virtualized experiments)
  • Applied Mathematics (in particular stochastic and approximation)
Publications

AI & Cyber-Physical Systems

Prof. Oliver Niggemann (HSU)
Research interests and expertise
  • AI and ML in engineering applications
  • Digital twins and intelligent automation
  • Fault diagnosis and anomaly detection
Potential match-making fields
  • Machine learning for industrial and engineering systems
  • Interdisciplinary applications of AI
  • Cyber-physical system diagnostics
Publications

AI, Computer Engineering, Robotics

Prof. Tim Tiedemann (HAW)
Research Interests and Expertise
  • sensor data processing, pre-processing, feature generation and selection
  • machine learning (ML), incl. hardware-based (FPGA, uC) implementation
  • robotics (underwater, space, drones, autonomous driving)
  • biologically-inspired and cognitive psychologically-inspired robotics
Potential Match-Making Fields
  • hardware-based ML implementations
  • robot/experimental setup control by online domain science evaluation
  • robotic and/or sensor applications
Publications

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.
Publications

Applied Computer Science

Prof. Robin Wilke (HAW)
Research interests and expertise
  • X-ray diffraction microscopy
  • ptychography
  • tomography
  • inverse problems
  • high-performance computing
  • medical computed tomography
  • magnetic resonance imaging (MRI)
  • parallel imaging MRI
  • real-time MRI
  • data science
Potential match-making fields
  • machine learning
  • data science
  • computer vision
Publications

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
Publications

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
Publications

Computational Materials Science

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

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
Publications

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
Publications

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
Publications

Data 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
Publications

High Performance Computing

Prof. Philipp Neumann (DESY/UHH)
Research interests and expertise
  • scientific computing
  • high performance computing
  • data science
  • numerical simulation
  • molecular simulation
  • machine learning
  • multiscale methods
  • coupled simulations
  • green computing
Potential match-making fields
  • fluid dynamics
  • high energy physics
  • photon science
Publications

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
Publications

Machine Learning

Dr. Alexander Itin (TUHH)
Research interests and expertise
  • machine learning (predictive and generative models)
  • asymptotic methods
  • nonlinear dynamics
  • ex-Bosch research
Potential match-making fields
  • photonics
  • metameterials
  • ultracold qunatum gases
Publications
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
Publications
Prof. Sören Laue (UHH)
Research interests and expertise
  • Machine Learning (ML; Classical and Deep Learning)
  • Efficient Algorithms
  • Optimization (Nonlinear and Combinatorial)
  • Artificial Intelligence
  • Quantum Computing
Potential match-making fields
  • Application of ML to Physics
  • Efficient ML Methods for Specialized Hardware
Publications

Machine Learning Methods, Data Analysis Methods, Dynamical Systems

Prof. Sarah Hallerberg (HAW)
Research interests and expertise
  • Dynamics of Learning Network
  • Automated Analysis of (Bio-)Acoustic Data
Potential match-making fields
  • Data Analysis
  • Machine Learning
  • Dynamical Systems
  • Time-Series Analysis
  • Predictability of Rare Events and Critical Transitions
  • Predictive Maintenance
Publications

Medical Technology and Intelligent Systems

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

Natural Language Processing

Prof. Anne Lauscher (UHH)
Research interests and expertise
  • Artificial Intelligence
  • (Multimodal) Natural Language Processing
  • AI Safety and Ethics
  • Computational Argumentation
  • Machine Learning
  • Multilinguality
  • Domain Adaptation
  • Scientific Document Processing 
Potential match-making fields
  • Photon Science
  • Accelerator Science
  • Particle Physics
  • Structural Biology
  • Materials Science
Publications

Networked and Distributed Systems

Prof. Olaf Landsiedel (TUHH)
Research interests and expertise
  • TinyML
  • Edge AI
  • Distributed Data Analytics
Potential match-making fields
  • ???
Publications

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
Publications

Quantum Computing

Prof. Martin Kliesch (TUHH)
Research interests and expertise
  • Quantum and quantum inspired algorithms
  • Quantum system characterization (a.k.a. QCVV)
  • Computational complexity theory
Potential match-making fields
  • Quantum simulation of physical systems with strong quantum correlations
  • Combinatorial optimization using QUBO solvers
  • Solving differential equations using tensor network methods
Publications

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
Publications

Software Engineering

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
Publications
Prof. Walid Maalej (UHH)
Research interests and expertise
  • Software Engineering for Data Science and AI
  • AI for Software Engineering
  • Requirements and Design
  • Human-AI Teaming
  • Applied Machine Learning
  • Trustworthy AI 
Potential match-making fields
  • Material Science
  • Experimental Physics (in particular virtualized experiments)
  • Applied Mathematics (in particular stochastic and approximation)
Publications

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
Publications