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Browsing by browse.metadata.outype "tuhharbeitsgruppe"

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  • Institution
    Angewandte Polymerphysik M-EXK 6
    Director:
    Lissel, Franziska  
    Type: TUHH Workinggroup
  • Institution
    Vocational Education and Digitalization T-EXK1
    Das Institut für Berufliche Bildung und Digitalisierung (IBBD) der Technischen Universität Hamburg (TU Hamburg) untersucht die Chancen und Herausforderungen der Digitalisierung im Kontext der beruflichen Bildung, um angehende Lehrkräfte auf diese Entwicklung vorzubereiten. Die digitale Transformation spielt eine wichtige Schlüsselrolle für die Zukunft von Arbeit und Beruf. Im Rahmen der Forschung und Lehre besteht daher ein großes Anliegen, die Attraktivität beruflicher Bildung zu stärken und neue Forschungszugänge und -perspektiven auf die Weiterentwicklung der Berufsbilder zu ermöglichen. Ein Fokus richtet sich hierbei auf die begleitende Erforschung neuer Technologien. Dazu gehören auch die Rolle und die Bedeutung von KI-gestützten Anwendungen, beispielsweise der Einsatz von Sprachmodellen. Dieser eröffnet neue Perspektiven auf die Gestaltung und Reflexion von Lehren und Lernen in Schule und Betrieb.
    Director:
    Baumhauer, Maren  
    Type: TUHH Workinggroup
  • Institution
    Electron Microscopy Unit BEEM
    Director:
    Ritter, Martin  orcid-logo
    Type: Central Services
  • Institution
    Data-Driven Innovation W-EXK2
    The working group of Data-Driven Innovation at the Technical University of Hamburg (TUHH) conducts research at the intersection of innovation management, engineering sciences, and the healthcare sector, with a specific focus on data-driven innovations. Within their research, Moritz Göldner, Amanda Baum and team explore digital health applications (DiGAs) and the challenges of digitalization in the context of future healthcare systems. Additionally, their emphasis lies in understanding the interplay between sustainability and the healthcare sector, examining the corresponding datasets that link these two areas. Moreover, their attention is directed towards exploring how (large) datasets can contribute to the improved development of user-centered innovations in the future.
    Director:
    Göldner, Moritz  orcid-logo
    Type: TUHH Workinggroup
  • Institution
    Development and Modelling of Novel Nanoporous Materials V-EXK2
    Director:
    Gurikov, Pavel  
    Type: TUHH Workinggroup
  • Institution
    Engineering Education Research Group E-26
    Die Abteilung für Fachdidaktik der Ingenieurwissenschaften an der Technischen Universität Hamburg (TUHH) beschäftigt sich mit der wissenschaftlichen Beschreibung des Lehrens und Lernens in den Ingenieurwissenschaften. Ein besonderer Schwerpunkt unserer Arbeit liegt in der Untersuchung des Verständnisses zentraler Fachbegriffe und inhaltlicher Zusammenhänge in ingenieurwissenschaftlichen Grundlagenfächern. Hierfür verwenden wir sowohl qualitative als auch quantitative empirische Methoden wie z. B. semi-strukturierte Interviews und Diagnostiktests. Aufgrund der engen Zusammenarbeit mit dem Zentrum für Lehre und Lernen können die in unseren Untersuchungen gewonnenen Ergebnisse unmittelbar für die Lehre an der TUHH nutzbar gemacht werden. Die Abteilung für Fachdidaktik der Ingenieurwissenschaften trägt daher durch ihre Forschung zur Verbesserung der Lehre und der Reduzierung der Studienabbrüche bei.
    Director:
    Kautz, Christian  
    Type: TUHH Workinggroup
  • Institution
    Interface Physics and Engineering M-29
    Director:
    Meißner, Robert  orcid-logo
    Type: TUHH Institute
  • Institution
    Human-centric Machine Learning E-EXK7
    Director:
    Murena, Pierre Alexandre  
    Type: TUHH Workinggroup
  • Institution
    Integrated Ceramic-based Materials Systems M-EXK3
    The Integrated Materials Systems research group is an interdisciplinary group embedded in the Institute of Advanced Ceramics at TUHH. Our main research interest lies in the tailoring and precise functionalization of interfaces of ceramics and metal-ceramic hybrids for relevant applications, building a bridge between materials science and manufacturing engineering. Our main focus is to understand and control the microscale and nanoscale processes at interfaces and/or within microstructures, to be able to tailor the macroscopic materials’ properties. Here, we differentiate between “bulk phase or design properties” and “nano- to microscale-driven properties”, where nanoscale size effects and interfaces play a fundamental role. We strive to study and understand the fundamental structure-processing-properties’ relationships to be able to develop integrated materials systems targeting three main trusts: - optical (photonics) properties, including structural colors (visible range) and reflective thermal barrier coatings (IR range) - “chemical” properties, including photocatalysis, dark catalysis and water splitting for energy generation - advanced and innovative manufacturing, including the development of additive manufacturing combined with self-assembly of hybrid and hierarchical materials systems, as well as atomic layer deposition onto powders and 3D structures For further details and to learn more about our current as past projects, check https://www.tuhh.de/materials/research
    Director:
    Pagnan Furlan, Kaline  orcid-logo
    Type: TUHH Workinggroup
  • Institution
    Integrated metallic Nanomaterialssystems M-EXK4
    Director:
    Shi, Shan  
    Type: TUHH Workinggroup
  • Institution
    Machine Learning in Virtual Materials Design M-EXK5
    Director:
    Aydin, Roland C.  
    Type: TUHH Workinggroup
  • Institution
    Concrete Structures B-7
    The Institute of Concrete Structures has been conducting research for a long time on the shear capacity of reinforced and prestressed concrete components, in particular deck slabs of bridges. More accurate design models are developed on the basis of tests and numerical calculations. Another research focus is numerical modeling of concrete structures as well as stress transfer in concrete cracks.
    Director:
    Faron, Adrian  
    Type: TUHH Workinggroup
  • Institution
    Massively Parallel Systems E-EXK5
    The institute of Massively Parallel Systems (MPS) investigates and teaches in the field of computer architecture, focussing on massively parallel systems. These days massively parallel systems are present everywhere – in our smartphones, cars, supercomputers. They help us to do many things which were not possible before. For example, the recent stupendous success of machine learning, especially deep learning, is mainly due to the exponential increase in computational power. As such, machine learning is not new. Machine learning methods are around since the 1950s. What has predominately changed now is the computing power, with many-core processors such as GPUs as the main drivers. If these massively parallel processors are not utilized properly, they are very expensive in terms of power and energy consumption, which is not good as we aspire to reduce our carbon footprint. At MPS, we are working to make computing devices more performance and energy-efficient from the architecture perspective, and improve their programmability from a programmer’s perspective.
    Director:
    Lal, Sohan  
    Type: TUHH Workinggroup
  • Institution
    Resilient and Sustainable Operations and Supply Chain Management W-EXK1
    Die Arbeitsgruppe Resilient and Sustainable Operations and Supply Chain Management (W-EXK1) wurde im Januar 2023 gegründet und ist am Studiendekanat Management-Wissenschaften und Technologie der Technischen Universität Hamburg angesiedelt. In enger Zusammenarbeit mit dem Institut für Logistik und Unternehmensführung beschäftigten wir uns mit betriebswirtschaftlichen Fragestellungen des Operations und Supply Chain Managements mit besonderem Fokus auf Nachhaltigkeit und Resilienz.
    Director:
    Thies, Christian  orcid-logo
    Type: TUHH Workinggroup
  • Institution
    Marine Engineering M-12
    Director:
    Wirz, Friedrich  
    Type: TUHH Workinggroup
  • Institution
    Smart Sensors E-EXK3
    The research focus of the Smart Sensors Group is digital data and signal processing, real-time data processing, energy-efficient processing, as well as reliability, fault tolerance and embedded fault diagnosis in the context of 'smart' sensor technology.
    Director:
    Kulau, Ulf  
    Type: TUHH Workinggroup
  • Institution
    Structural Dynamics M-14
    Dynamics Group - Institute for Structural Dynamics We focus on complex system dynamics. One research field is complex dynamics in machines and structures, which we analyze through network, complexity and machine learning methods. A second field is nonlinear wave physics, including ocean rogue waves. A third field is highly efficient physics based computing in engineering. All our work is conducted with national and international partners. Prof. Hoffmann, who directs the group, is also a visiting professor at Imperial College London.
    Director:
    Hoffmann, Norbert  orcid-logo
    Type: TUHH Workinggroup
  • Institution
    Theoretische Informatik E-EXK6
    The research group for Theoretical Computer Science is dedicated to the investigation of questions related to the nature of computation and its complexity. The main focus points are constraint satisfaction problems, complexity theory, and algebraic and logical methods used for their study.
    Director:
    Mottet, Antoine  
    Type: TUHH Workinggroup
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