Latest Publications
Merchant, F.:
Security as an Important Ingredient in Neuromorphic Engineering,
in IEEE ISVLSI,
Jul. 2022, accepted for publication ©2022 IEEE
Moussavi, E., Šišejković, D., Brings, F., Kizatov, D., Singh, A., Xuan , T. V., Ingebrandt, S., Leupers, R., Pachauri, V. and Merchant, F.:
pHGen: A pH-Based Key Generation Mechanism Using ISFETs,
in
IEEE International Symposium on Hardware Oriented Security and Trust (HOST),
Jun. 2022, accepted for publication ©2022 IEEE
Zhao, R. , Gui, G., Xue, Z., Yin, J., Ohtsuki, T., Abedisi, B. and Gacanin, H.:
A Novel Intrusion Detection Method Based on Lightweight Neural Network for Internet of Things,
in IEEE Internet of Things Journal,
Vol. 9,
No. 12,
pp.
9960-9972,
Jun. 2022, ISSN: 2327-4662, 10.1109/JIOT.2021.3119055 ©2022 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 | Chair for Distributed Signal Processing |
Kopernikusstraße 16
52074 Aachen
Germany
sekretariat(at)ice.rwth-aachen.de
X-Fault: The Impact of Faults in BNNs using Logic-in-Memory for Memristive Crossbars
CAD for Assurance: QFlow: Quantifying Data Leakage and QIF-RTL: A New Secure Description Language
A Parallel SystemC Virtual Platform for Neuromorphic Architectures
Hardware Hacking Space: "Machine Learning vs. Hardware Integrity Protection: Who will prevail?"
NOCS 2021 - NEWROMAP: Mapping CNNs to Self-contained Data-flow Accelerators for Edge-AI