Cyber-physical systems (CPS) are networked information-processing systems that interact directly with their surrounding physical environment. CPS record environmental information via sensors, process this information with computer support, and in turn influence their environment via actuators. CPS are therefore in a continuous control loop and in many application areas must perform time-critical and safety-relevant calculations and communicate with other technical systems or humans across domains.

Today, CPS are the basic technology for many "smart" products and applications worldwide. For example, they are indispensable in the fields of vehicle and aircraft construction, Industry 4.0, medical technology, automation technology, robotics and mechatronics.

TUHH's research on cyber-physical systems is characterized by the fact that it encompasses all relevant aspects - from sensors and actuators, hardware and networking, through the software of a CPS to its real applications and their certification.

► Contributions of the EIM School (selection): Secure and reliable hardware and software, novel sensor technology, networked and autonomous systems, optimization of energy efficiency and real-time capability.

► Participating institutes and collaborations: 

• Microsystems Technology (E-7), High Frequency technology (E-3), Communications (E-8), Communication Networks (E-4), Electrical Power ad Energy Technology (E-6), Software Systems (E-16), Secure CPS (E-16), Software Security (E-22), Embedded Systems (E-13), Autonomous CPS (E-24)
• Hamburg-weite Informatik-Plattform ahoi.digital
• Deutsches Elektronen-Synchrotron DESY
• MLE@TUHH
• DFG Research Training Group CAUSE (Concepts and Algorithms for – and Usage of – Self-Explaining Digitally Controlled Systems)

► The research topic is reflected in the following research cluster:

• Cyber-Physical Systems

► Interdisciplinary bundling with other topics takes place in the research field:

• Cyber-Physical & Medical Systems

► These study programs take up contents of the research topic:

• Elektrotechnik und Informationstechnik, B.Sc./ M.Sc.
• Mechatronik, B.Sc. /M.Sc.
• Theoretischer Maschinenbau, M.Sc.
• Computer Science, M.Sc.
• Informatik-Ingenieurwesen, B.Sc. / M.Sc.
• Information and Communication Systems, M.Sc.
• Microelectronics and Microsytems, M.Sc.

Challenge - From data to knowledge:

Smart devices are equipped with numerous sensors and produce enormous amounts of data. In practice, however, the question arises: Which data is relevant for applications such as detecting obstacles in autonomous driving or early diagnosis or prediction of diseases? Relevant data must be filtered from raw data and converted into information from which models can then be learned and knowledge built.

► Contributions of EIM School (Selection): 

• Efficient storage,
• communication and processing of large data volumes,
• mathematical and algorithmic foundations of machine learning,
• distributed data storage, distributed machine learning,
• Machine learning for solving inverse problems,
• Development of Data Science applications in engineering and medical technology.

► Participating institutes and cooperations: 

• Data Science Foundations (E-21), Data Engineering (E-19), Medical Technology and Intelligent Systems (E-1), Biomedical Imaging (E-5), Stochastics (E-10), Autonomous CPS (E-24), Algorithm and Complexity (E-11), Computational Mathematics (E-10), Electromagnetic Theory (E-18), Quantum Inspired and Quantum Optimization (E-25)
• DESY-RTG DASHH
• MLE@TUHH
• Center for Data and Computing in Natural Sciences

► The research topic is reflected in the following main research clusters:

• Advanced Materials
• Cyber-Physical Systems
• Environmental & Energy Systems
• Logistics Management & Technology
• Medical Technology & Biomechanics

► Interdisciplinary bundling with other topics takes place in the research fields:

• Advanced Materials & (Bio-)Processes
• Cyber Physical & Medical Systems
• Environmental & Energy Systems
• Logistics, Mobility & Infrastructure 
• Methods of Research in Science and Engineering

► These study programs take up contents of the research topic:

• Data Science, B.Sc.. M.Sc.
• Computer Science, B.Sc., M.Sc.
• Technomathematik, B.Sc.

A world without electrical energy is unthinkable today, and global electricity generation is constantly increasing. At the same time, new challenges are arising from the envisaged energy turnaround. The phase-out of nuclear energy and coal-fired power generation is drawing ever closer. Wind power and photovoltaic plants are now a natural part of our landscape. In this context, the use of hydrogen to generate energy has been the subject of particularly intensive research for some time. A prerequisite for a positive contribution to climate protection is the production of hydrogen from renewable energy sources.

Consequently, the energy systems of the modern world must be profoundly transformed.

► Comtributions of the EIM School (sleection): Intelligent electrical energy networks (smart grids), Integration of power-electronically coupled systems, Efficient on-board energy systems for modern aircraft and ships, Operation and planning for integrated/sector-coupled energy systems.

• Research in electrical energy technology at TUHH focuses on overcoming central challenges that arise from this. The goal is an optimal system-technical interaction of components and technologies for the generation, transmission, storage, distribution and consumption of electrical energy. The research of future electrical energy networks of terrestrial as well as on-board energy systems plays a special role.
• The competences of the deanery are in the field of modeling, optimization and operation management of electrical energy networks and extend in particular to the application of information and communication technology (ICT), control and automation technology as well as methods of artificial intelligence (AI).
• The dynamics, stability and control of electrical power systems form a special focus of competence. The focus is on systems with power-electronically coupled components and increasingly sector-coupled systems with multiple energy sources.

► Participating institutes and collaborations:

• Elektrische Energietechnik (E-6), Kommunikationsnetze (E-4), Regelungstechnik (E-14), Telematik (E-17), verschiedene Institute der Dekanate M, V und W
• Helmholtz-Zentrum Hereon
• Regionale und überregionale Energienetzbetreiber

► The research topic is reflected in the following research clusters:

• Environmental & Energy Systems
• Cyber-Physical Systems

► Interdisciplinary bundling with other topics takes place in the research fields:

• Environmental & Energy Systems
• Cyber-Physical and Medical Systems

► These study programs take up contents of the research topic:

• Elektrotechnik, M.Sc.
• Microelectronics and Microsystems, M.Sc.

Modern patient care has already been decisively improved by the continuous development of medical technology. Diseases can now be detected at an early stage and treated more effectively.

Future improvements require the fusion of various disciplines from computer science, engineering, mathematics and medicine. Here, the combination of modern imaging methods and sensor technologies with methods for image processing and machine learning as well as the methods for planning and support in treatment processes are crucial building blocks.

► Contributions of the EIM School (selection):

• Development of medical technology systems and human-machine interfaces
• Multi-dimensional imaging and image processing
• Development of sensors and sensor systems
• Modeling of electromagnetic fields in tissue
• Safety of cyberphysical medical technology systems
• Method development for the use of robotics and navigation in medicine

► Participating institutes and collaborations:

• Medical Technology and Intelligent Systems (E-1), Biomedica Imaging (E-5), Integrated Circuits (E-9), Microsystems Technology (E-7), High Frequency technology (E-3), Smart Sensors (E-EXK3), Software Systems (E-16), Electromagnetic Theory (E-18), Applied Analysis (E-10)
• UKE, Forschungszentrum Medizintechnik FMTHH, ICCIR
• MLE@TUHH

► The research topic is reflected in the following research cluster:

• Medical Technology & Biomechanics

► Interdisciplinary bundling with other topics is carried out in the research field:

• Cyber-Physical & Medical Systems

► These study programs at the TUHH take up contents of this research topic.

• Computer Science and Engineering (Informatik-Ingenieurwesen) (B.Sc./M.Sc.)
• Electrical Engineering (Elektrotechnik) (B.Sc./M.Sc.)
• Technomathematics (Technomathematik) (B.Sc.)
• Computer Science (B.Sc./M.Sc.)
• Data Science (B.Sc./M.Sc.)
• Engineering Science (Allgemeine Ingenieurwissenschaften) (B.Sc.)
• Biomedical Engineering (Mediziningenieurwesen) (M.Sc.)
• Mechatronics (M.Sc.)

Many scientific and engineering objects/processes can be described approximately by mathematical models. Based on theoretical analyses and efficient numerical solutions of these usually very complex models, the processes of the real world can then be digitally simulated and thus better understood and, if necessary, optimized (e.g. with regard to performance, energy efficiency, safety).

► Contributions of the EIM School (selection):

•     Research on numerical methods in engineering (digital twin)
•     Approximation and optimization of complex engineering systems
•     Formal verification of safety-critical properties of hardware and software                
•     Modeling and simulation of communication channels and transmission of digital data
•     Theoretical foundations of computer science and design of efficient algorithms                     
•     Stochastic models for complex networks and random spatial structures
•     Computer architectures for machine learning accelerators, energy-efficient GPUs

► Participating institutes and collaborations:

• Communications (E-8), Computational Mathematics (E-10), Numerics (E-10), Applied Analysis (E-10), Discrete Mathematics (E-10), Stochastics (E-10), Algorithm and Complexity (E-11), Optic and Electronic Materials (E-12), Embedded Systems (E-13), Software systems (E-16), Electromagnetic Theory (E-18), Massively Parallel Systems (E-EXK5), Theoretical Computer Science (E-EXK6), Quantum Inspired and Quantum Optimization (E-25)
• DFG-RTG 2583 with UHH
• DESY-RTG DASHH
• MLE@TUHH

► The research topic is reflected in the following research clusters:

• Advanced Materials
• Aviation Technologies
• Biobased Processes & Reactor Technologies
• Civil Infrastructure Systems
• Cyber-Physical Systems
• Environmental & Energy Systems
• Logistics Management & Technology
• Maritime Systems
• Medical Technology & Biomechanics

► Interdisciplinary bundling with other topics is carried out in the research field:

• Methods of Research in Science and Engineering

► All courses of study at the TUHH take up contents of this research topic.