Jun.-Prof. Dr.-Ing. Hussam Amrouch

  • Research Group Leader

Short Bio

Dr. Hussam Amrouch is a Junior Professor at the University of Stuttgart heading the Chair of Semiconductor Test and Reliability (STAR). He earned in 06.2015 his Ph.D. degree in Computer Science (Dr.-Ing.) from the Karlsruhe Institute of Technology (KIT), Germany with distinction (summa cum laude). After which, he has founded the "Dependable Hardware" research group at CES/KIT where he is still leading. Dr. Amrouch has published around 85 multidisciplinary publications, including 30 journals, covering all major research areas across the computing stack (semiconductor physics, circuit design, computer architecture, and computer-aided design). His key research interests are focused on design for reliability from device physics to systems, emerging nanotechnologies, machine learning for CAD, approximate computing, and deep neural networks.

He received seven times a "European Network of Excellence on High Performance and Embedded Architecture and Compilation" (HiPEAC) Paper Award. He also received three Best Paper Award Nominations for his work in reliability: two of them from the Design Automation Conference (DAC'17, DAC'16) and one from the Design, Automation and Test in Europe Conference (DATE'17). In January 2018, an article in the Frankfurt General Newspaper (Frankfurter Allgemeine Zeitung) was published recognizing his research and later in the same year, he was interviewed by the German public broadcasting radio (Deutschlandfunk) regarding his findings in thermal side channel attacks.


Research Interests

Dependable Hardware Research Group

  • Design for Reliability:
    • Device-Circuit Interaction: aging, process variation, soft errors, self-heating.
    • Aging-aware and thermal-aware circuit design.
    • System-level modeling and optimization.
  • Emerging Technology:
    • Post-CMOS technology and non-volatile memories.
  • Design for Security:
    • Reliability degradation-induced security threats.
    • Impact of emerging technology on security.
  • Advanced Cooling Solutions:
    • Device and chip modeling.
  • Machine Learning
  • Approximate Computing