News

SAMOS 2020 conference: Best Paper Award

Jul202020

The SAMOS 2020 conference organizing committee has selected the paper

    "AMAIX: A Generic…

MiG-V: First RISC-V Made in Germany with HW security features

May252020

In the context of an industry project, ICE contributed to the HENSOLDT Cyber MiG-V. This is a…

New Collaborative Project BOWI

May252020

ICE is a partner in the new H2020 Innovation Action BOWI (Boosting and Widening Digital Innovation…

New collaborative project "BioNanoLock"

May152020

ICE, along with IWE1, receives project funding from DFG (Deutsche Forschungsgemeinschaft - German…

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Latest Publications

Jünger, L., Bianco, C., Niederholtmeyer, K., Petras, D. and Leupers, R.: Optimizing Temporal Decoupling using Event Relevance, in Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC), 2021, accepted for publication


Copic, M., Leupers, R. and Ascheid, G.: Modelling Machine Learning Components for Mapping and Scheduling of AUTOSAR Runnables, in Proceedings of 31st International Symposium on Software Reliability Engineering (ISSRE), Oct. 2020, accepted for publication


Wang, Y., Guo, L., Yang, J., Abedisi, B., Gacanin, H. and Gui, G.: Distributed Learning for Automatic Modulation Classification in Edge Devices, in IEEE Wireless Communications Letters, pp. 1-1, Aug. 2020, ISSN: 2162-2345, 10.1109/LWC.2020.3016822 ©2020 IEEE


The Institute for Communication Technologies and Embedded Systems (ICE) is jointly directed by Prof. Rainer Leupers (Chair for Software for Systems on Silicon, SSS) and Prof. Haris Gačanin (Chair for Distributed Signal Processing, DSP), who collaborate closely in research and complement each other with their expertise.

Key research areas at ICE:

  • Wireless signal processing and networking for wireless communication systems: from algorithm to implementation
  • Intelligent systems and short-range communication systems (e.g. AI-based RRM, D2D, Cyber Physical Systems, M2M, Wireless 2.0)
  • Design of sensors with convergence of signal processing and machine learning methodologies
  • Efficient hardware accelerators and processor architectures for embedded applications, in particular multiprocessor systems-on-chip (MPSoC)
  • Electronic system-level (ESL) design tools for application-specific HW/SW systems
  • Software development tools (e.g. compilers and fast simulators) for heterogeneous multicore architectures
  • Hardware security

Contact

Institute for Communication Technologies and Embedded Systems

Chair for Software for Systems on Silicon
Univ.-Prof. Dr. rer. nat. Rainer Leupers
+49 241 80-28301

Chair for Distributed Signal Processing
Univ.-Prof. Dr. Haris Gačanin
+49 241 80-27880

Kopernikusstraße 16
52074 Aachen
Germany
sekretariat(at)ice.rwth-aachen.de

How to find us

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