Chairs and Research Groups

The institute consists of four departments: HOCOS, CA, ES and STAR

The Chair of Hardware-oriented Computer Science develops circuit and system architectures based on traditional and on emerging principles, including neuromorphic, stochastic and approximate architectures. Our second area is the systematic design methodology and design automation, with a strong focus on security and reliability. The Chair covers the mentioned topics in research and in teaching. Our members are present in the top conferences of these areas, and we are collaborating with outstanding international scientists. With regard to teaching, we are offering introductory courses in the Bachelor program Computer Science, several advanced lectures in different Master programs, seminars and practical lab courses. We are looking forward to cooperation with partners from industry, academia and other public organizations; please contact us if interested! We are also offering interesting Master and Bachelor thesis topics, projects and research- and teaching-assistance opportunities.


Chair of Hardware Oriented Computer Science: HOCOS

Research efforts within the Chair of Computer Architecture pay special attention to topics related to test, reliability and fault tolerance of digital systems as well as innovative architectures for approximative and heterogeneous computing. A part of our work is done in cooperation with various partners coming both from national and international universities and from industry. Master theses address current research of the group, possibly also at the partners' sites.


Chair of Computer Architecture: CA

The Chair of Embedded Systems is concerned with architectures and design methods for hardware/software systems in technical applications. It pursues research in modelling and simulation of such systems as well as system optimization considering tradeoffs between cost, performance, energy and robustness.


Chair of Embedded Systems: ES

The Chair of Semiconductor Test and Reliability is devoted to research in Machine Learning for Computer-Aided Design (MLCAD) with a primarily focus on design for reliability and design for testing in cutting-edge nanotechnologies. Our work covers both advanced sub-10nm technologies such as nanowires and nanosheets transistors as well as emerging technologies such as negative capacitance transistors and ferroelectric transistors for future ultra-low power circuits and memories. In addition, we develop different novel techniques to increase the reliability and efficiency of neural processing units, which are essential for all applications of artificial intelligence.

Chair of Semiconductor Test and Reliability STAR


Mirjam Breitling


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