Research area Advanced computing systems

Driving innovation in software and systems engineering

We develop reliable, scalable solutions and processes meeting the growing complexity and increasing computing demands of ever-evolving technological landscapes.

About

The following professors and their teams contribute to this research area.

  • Thomas Engel

    • Applications of Graph Transformation Techniques
    • Computer Networks
    • Network and System Security
    • Network Forensics
    • Platforms for Big Data Analysis and Machine Learning
    • Security, Reliability and Privacy in Distributed Environments
  • Steffen Rothkugel

    • Document Engineering
    • Interactive Distributed Systems
    • Mobile and Ubiquitous Computing
  • Ulrich Sorger

    • Coding Theory
    • Information Theory
    • Transmission over Time Variant Channels
    • Information Exchange.
  • Nicolas Guelfi

    • Dependability
    • Formal Methods
    • Requirements Engineering
    • Software Engineering

  • Pierre Kelsen

    • Domain-Specific Modelling Languages
    • Formal Methods
    • Model-Driven Software Development

  • Yves Le Traon

    • Automated implementation of security mechanisms
    • Malware detection and prevention
    • Model-Driven Security
    • Big Data at Runtime
    • Modelling at Runtime

  • Nicolas Navet

    • Integration of Verification Activity into Model-Driven Engineering
    • Probabilistic Risk Analysis
    • Timing Verification of Real-time Systems

  • Denis Zampunieris

    • e-Learning
    • Proactive Computing
    • Proactive Engines

Research groups

  • Collaborative and Socio-Technical Systems (COaST)

  • Critical Real-Time Embedded Systems (CRTES)

  • Foundation of Model-Driven Engineering (FMDE)

  • Proactive Computing

  • Security and Networking Lab (SECAN-Lab)

  • Software Engineering and Artificial Intelligence Group on Ecosystem management (SAGE)

  • Mediated Reality, Human-Computer Interaction (VR/AR LAB)

  • Quantum Algorithms and Technologies of Emulation in High Performance Computing