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Department of Electrical Engineering and Computer Science


Electrical engineering and computer science - a strong pair! Few other scientific disciplines stand together like electrical engineering and computer science for the infrastructure that forms the lifeline of modern industrial societies.
From power plants to microprocessors, from ICE trains to small cars, from rolling mill control systems to cell phones, everywhere hardware and software, electrical engineering and computer science ensure the smooth, safe and convenient use of technology.

The Department of Electrical Engineering and Computer Science at the University of Siegen is one of the few institutions in Germany that combines research and teaching in electrical engineering and computer science in one unit.

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Smart Production_Services

"Smart Production and Services" - Online-Webinar

Researchers from six faculties of the University of Maribor provide a compact insight into current work on Smart Production and Services – ranging from circular economy and sustainable construction to tourism and entrepreneurship, as well as ESG / Green Transition and smart polymers. The aim is to connect partners within the ATHENA network and to initiate joint research and teaching activities.

 

Date: Thursday, September 4, 2025
Time: 1:00 – 2:30 PM (CET)
Location: Online (MS Teams) – access link after registration

 

Further information about the program can be found here.

Register now: Registration link

For questions / registration, please contact: Mladen Kraljic

Prospective students

Studierende mit Laptop programmieren ein Auto

Information technology

Bachelor

Going down the rabbit hole - When studying computer science at the University of Siegen, you can specialize early on - and delve into the topics that really appeal to you.

Studentinnen auf dem Schloßplatz

Electrical engineering

Bachelor

The Bachelor's degree course in Electrical Engineering is geared towards basic principles and methods. Within 6 semesters of study, it teaches all the professional fundamentals and methods required to solve problems in the field of electrical engineering.

Student mit Platine in der Hand

Digital Engineering - Electrical Engineering

Bachelor

Study Digital Engineering and overcome the boundaries between engineering and computer science. Choose the specialization that suits you: Mechatronics, Mechanical Engineering or Electrical Engineering.

Mehrere Studieren sitzen auf den Treppenstufen vor der Nikolaikirche

Computer Science (Informatics)

Master

In the Master's degree program in Computer Science, you will study core topics of computer science in depth and learn how to (further) develop and properly apply methods and procedures to solve computer science problems.

Drei Studierende lernend in der Mensa

Electrical engineering

Master

The Master's degree program in Electrical Engineering is research-oriented and deepens the scientific foundations and methods of electrical engineering.

Campus Unteres Schloss

Mechatronics

Master

Mechatronics merges multiple disciplines of engineering research, leading to innovative products and systems with less mechanical complexity but greater abilities.

Student mit Fahrrad

Nanoscience and Nanotechnology

Master

If you would like to study nanoscience and nanotechnology, then the Master's degree course in Nanoscience and Nanotechnology is perfect for you.

 

 

Studierende im Hörsaal

Embedded Intelligence Nanosystems Engineering (EMINENT)

Master

The English-language degree program "Embedded Intelligence Nanosystems Engineering (EMINENT)" is offered jointly by 5 universities: University of Siegen, Hellenic Mediterranean University (HMU, Greece), NOVA Lisbon (Portugal), University of Orléans (France) and Vilnius Gediminas Technical University (Lithuania).

Focal points of the Department of Electrical Engineering and Computer Science

The Department of Electrical Engineering and Computer Science stands for future-oriented education in the fields of automation, communication technology, embedded systems, software development and artificial intelligence. The focus is on practical teaching, interdisciplinary research and close cooperation with industry. In this way, we prepare our students specifically for the technological challenges of tomorrow.

Focus on automation

LS Regelungs und Steuerungstechnik

Regulation and Control Technology

Prof. Dr. Michael Gerke

The Chair of Control Engineering develops autonomous driving and flying robots. Modern sensor technology, hardware, software and control technology are combined for this purpose. One focus is autonomous driving, for which work is being carried out on journey planning, map generation and obstacle avoidance.

Zuverlässigkeit Technischer Systeme & Elektrische Messtechnik

Reliability of Technical Systems & Electrical Measurement

Prof. Dr. Frank Gronwald

In the "Reliability of Technical Systems & Electrical Measurement Technology" department, we impart important knowledge of electrical measurement technology and process measurement technology in lectures and practical courses. We are also active in other courses on the fundamentals of electrical engineering. In research, we concentrate on the cross-sectional topics of "Reliability of Technical Systems" and "Electromagnetic Compatibility", for which we also offer lectures and work together with partners in industry and other institutions. On site in Siegen, we have a laboratory specifically for investigations into electromagnetic compatibility as well as simulation software for calculating and analyzing high-frequency electromagnetic fields."

Interconnected Automation Systems

Interconnected Automation Systems

Prof. Dr. Oliver Wallscheid

The Interconnected Automation Systems (IAS) Chair researches and teaches in the field of distributed systems with a focus on power electronics, drive technology and mechatronics. This includes hardware and software aspects relating to the modeling, design, integration and control of such systems at the intersection of engineering and data science methods. In addition to basic academic research, the transfer to experimental studies and industrial applications is of particular importance.

Focus on didactics and vocational training

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Didactics of Computer Science

Dr. Steffen Jaschke

 

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Technology Didactics at Vocational College

Prof. Dr. Ralf Dreher

The "Technology Didactics" department at the vocational college was established as an endowed chair of Siegerland industry in order to counter the substantial shortage of teachers for industrial-technical vocational training in the region. The chair has implemented a nationwide study concept for the vocational fields of metal technology, electrical engineering and technical computer science, which has the core of acquiring independent and sustainable work process knowledge through teaching development projects in the technical didactic laboratories in order to develop teaching units (learning situations) based on this.

Similarly, in close cooperation with regional industry in particular, research is being conducted into the structures and content of work processes in a working reality characterized by the transformation of industrial work through the use of Industry 4.0, AI and additive manufacturing technologies. Research here includes the recording and description of prototypical work processes, the development of the necessary measures for teacher training and forms of internal differentiation of vocational training for the traditionally very heterogeneous groups of teachers in cooperation with social associations and the employment agency.

Focus on embedded systems

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Operating Systems and Distributed Systems

Prof. Dr. Roland Wismüller

The chair is concerned with system-oriented programming, distributed systems and electronic practice and examination systems. Specifically, we are currently developing a virtual machine for secure collaboration in component-based systems, a system for the simple visualization of algorithms, as well as learning and tutoring systems for programming training. A particular focus is on automated feedback generation using large language models (LLMs).

Embedded Systems

Embedded Systems

Prof. Dr. Roman Obermaisser

The Chair of Embedded Systems is concerned with real-time capability, reliability, security and adaptivity in distributed embedded systems and at the chip level. In addition to basic research in the field of system architectures, design methods and fault tolerance, this also includes applications in medical technology, the automotive industry, avionics, energy systems and industrial automation. For example, the chair develops scheduling algorithms for the temporal and spatial planning of safety-relevant applications with their calculations and communication in the cloud edge continuum. The components and services developed include software, hardware and tools, which are evaluated experimentally in simulations and physical systems. One focus is on techniques for embedded artificial intelligence with reliable AI accelerators for safety-critical applications.

LS Modellbasierte Entwicklung

Model-Based Engineering

Prof. Dr. Malte Lochau

The Model-Based Development (MBE) group researches and teaches in the areas of software engineering and database systems, with a particular focus on techniques and tools for the holistic use of formal models in the software development process. Special emphasis is placed on the areas of configurable software and variant management, the assurance of software quality through software testing and quantum software engineering.

Ubiquitous Computing

Ubiquitous Computing

Prof. Dr. Kristof Van Laerhoven

Our research aims at a new generation of small and embedded computing systems equipped with basic processing and sensing modules that are able to detect, monitor, react to and learn from phenomena in their environment. We are particularly interested in obtaining multiple simple (and therefore more difficult to use) sensor signals in low-power devices, rather than solutions that focus on a few high-quality signals, which tend to be more expensive, complex and/or vulnerable.

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Theoretical Computer Science

Prof. Dr. Markus Lohrey

The Theoretical Computer Science group deals with algorithmic and complexity-theoretical questions from automata theory, algebra (especially group theory) and database theory. One focus is on algorithms that work directly on compressed data without first decompressing it. In particular, we investigate grammar-based compression methods that decompose complex objects hierarchically and identify recurring patterns and replace them with macros. We are also interested in algorithms on data streams (streaming algorithms).

Focus on Sensorics and Communication

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Analogue Circuits and Image Sensors

Prof. Dr. Bhaskar Choubey

The chair deals with the development and research of analog and integrated circuits, in particular for image processing systems, CMOS image sensors and microelectromechanical systems. The current focus is also on the hardware implementation of artificial intelligence, for example using memristors, with applications in the financial and economic sectors.

Chair for Computational Sensorics

Computational Sensorics

Prof. Dr. Ivo Ihrke

The Chair of Computational Sensing / Communications Engineering deals with the research field of computational imaging - the development and implementation of imaging systems in which algorithmic processing plays a central role.

The focus is on a holistic approach: from experimental planning and modeling through numerical methods to practical implementation, data acquisition, algorithm development and evaluation. By considering the entire imaging chain, the full optimization potential of such systems is to be exploited.

Forschung Höchstfrequenztechnik und Quantenelektronik

High-Frequency Technology and quantum Electronics

Prof. Dr. Peter Haring-Bolivar and Prof. Dr. Bernd Buxbaum

The focus of teaching and research is on the development and analysis of photonic and quantum electronic components for high-frequency applications, particularly in security-relevant and information technology systems as well as in life science applications.

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Theoretical Electrical Engineering and Photonics

Prof. Dr. Elmar Griese & Dr. Thomas Kühler

The Chair of Theoretical Electrical Engineering and Photonics conducts research into short-range optical interconnects for electrical environments. The focus is on the design and development of processing techniques for optical waveguides in thin glass by diffusion - i.e. ion exchange technologies - for integration into electrical circuit boards. In particular, optical directional couplers for bidirectional connections are the subject of research work. Optical waveguides provide significantly higher data rates than can be achieved with electrical connections. The chair is also a point of contact for solving electrodynamic field problems using adapted numerical methods for practical applications. Teaching covers the areas of "Fundamentals of Electrical Engineering", "Fundamentals of Signal and System Theory", "Numerical Methods", "Electromagnetic Field Theory" and "Optical and Electrical Signal Transmission" in German and English.

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Communications Engineering / Cryptography and Security

Prof. Dr. Christoph Ruland

 

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Digital integrated systems

Prof. Dr. Bing Li

 

Focus on Visual Computing

SPH

Computer Graphics and Multimedia Systems

Prof. Dr. Andreas Kolb

The Chair of Computer Graphics and Multimedia Systems deals with all aspects of image synthesis, starting with the generation of 3D models of complex objects and scenes (modelling), the generation of geometric objects from real situations or abstract data fields (visualization), the simulation of visual natural phenomena and physically based lighting calculation through to efficient methods of image generation (rendering).

BoxImage Computer Vision

Computer Vision

Prof. Dr. Michael Möller

The Computer Vision Group conducts research in the field of mathematical image processing, machine vision and machine learning with a special focus on the combination of machine learning and energy minimization methods. In this context, we are interested in efficient optimization techniques, convex relaxations, inverse problems and provable properties of deep neural networks in the above mentioned areas.

Intelligente Systeme

Intelligent Systems

Prof. Dr. Jöran Beel & Prof. Dr. André Klahold

The Intelligent Systems Group (ISG) conducts research in the areas of recommender systems (RecSys), personalization and information retrieval (IR) as well as automated machine learning (AutoML), meta-learning and algorithm selection. Areas we are particularly interested in include smart places, eHealth, manufacturing (Industry 4.0), mobility, visual computing and digital libraries.

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Media Informatics

Prof. Dr. Volker Blanz

The Chair of Media Informatics deals with various aspects of machine and human vision, including in the context of image segmentation, face recognition and the three-dimensional reconstruction of faces from individual images. One focus of current research is on biologically motivated models and architectures.

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Visual Computing

Junior Professor Dr. Jovita Lukasik

The Visual Computing Group deals with machine vision and learning. One focus is on the automatic development of neural networks. We want to find out how such networks can become more efficient and remain robust against disturbances in images. We are also researching new approaches to better understand how neural networks make decisions - and how to bring them closer to human decision-making.

Department spokesperson

Personal profile photo

Univ.-Prof. Dr. rer. nat. Ivo Ihrke

Professor
Personal profile photo

Univ.-Prof. Dr. Malte Lochau

Professor

Department Secretariat

Christiane Rhode

Department Secretary ETI

Contact

department@eti.uni-siegen.de
0271/ 740-4428
H-A 4104/2
Hölderlinstraße 3

Opening hours

Monday:
8:30-11:30
Tuesday:
11:00-13:00
Wednesday:
11:00-13:00
Thursday:
8:30-11:30

Address and directions

Logo Fakultät IV: Naturwissenschaftlich-Technische Fakultät

Adresse

University of Siegen
Department of Electrical Engineering and Computer Science
Hölderlinstraße 3
57076 Siegen