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
  • multiagent systems
  • 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 & 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. 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
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

Computer Engineering

Prof. Görschwin Fey (TUHH)
Research Interests and Expertise
  • computer-aided design of circuits and systems
    • 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 wearables
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 quantum 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 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 networks
  • 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

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