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Researcher

Thomas Huybrechts

  • Research Expertise  (University of Antwerp):Expertise in real-time distributed embedded systems and the performance analysis (WCRC) of those systems, by using classic approaches (static/dynamic) and hybrid machine learning-based predictions. Expertise in distributed artificial intelligence within the context of smart energy management (e.g. thermal heating/cooling grids).
  • Keywords  (University of Antwerp):ELECTRONICS, MACHINE LEARNING, DEEP LEARNING, INTERNET OF THINGS, COMPUTER SCIENCE, EMBEDDED SYSTEMS, DISTRIBUTED SYSTEMS, ARTIFICIAL INTELLIGENCE (AI), Computer science (incl. applied informatics)
  • Disciplines  (Interuniversity Microelectronics Centre):Display technology, Antennas and propagation, Automation and control systems, Analogue, RF and mixed signal integrated circuits, Neuromorphic computing, Audio and speech processing, Environmental safety and health of nanotechnology, Battery technology, Biomaterials, Ceramic matrix composites, Hybrid composites, Computational materials science, Metals and alloy materials, Polymer processing, Nanomaterials, Functional materials, Biomedical image processing, Biochemical engineering, Biofluid mechanics, Cell, tissue and organ engineering, Arithmetic and logic structures, Automation, feedback control and robotics, Bio-informatics, Analogue and digital signal processing, Engineering instrumentation, Environmental health and safety, Biostatistics, Care for disabled, Bioethics
  • Disciplines  (University of Antwerp):Artificial intelligence, Computer architecture and networks, Distributed computing, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Other natural sciences, Computer hardware, Computer theory, Signal processing, Other computer engineering, information technology and mathematical engineering, Geomatic engineering, Product development, Safety engineering, Other engineering and technology
  • Research techniques  (University of Antwerp):Hybrid static/dynamic Worst-Case Execution Time (WCET) and Worst-Case Resource Consumption (WCRC) analysis using machine learning-based approximation. Data-driven control and optimisation with reinforcement learning.
  • Users of research expertise  (University of Antwerp):Companies that want to introduce advanced intelligence into large-scale IoT systems. Companies that want to create added value using their data (e.g. automation, integration of intelligence in data systems). Companies active in HVAC and smart energy management.