The Neuromorphic Computing group headed by Prof. Dr. Thomas Kämpfe is researching the design and optimization of analog, mixed-signal and digital integrated circuits in CMOS technologies for future computing, in particular in-memory computing, hyperdimensional computing, probabilistic computing and other brain-inspired computing systems with reduced energy consumption for various application areas, in particular evaluation of sensors at the edge.
We cooperate closely with industry and research institutes, in particular the Fraunhofer IPMS. Our research focuses on three central areas:
We teach the theoretical foundations of memory technologies, compute-in-memory and neuromorphic computing. Our lectures are supplemented by practical experiments, and students gain valuable insights into circuit design for neuromorphic systems through CAD exercises, practicals and student projects.