Co-Optimization of materials, integration, device, circuits for memristor systems.
Thomas Kämpfe serves as a group manager for CMOS integrated RF & AI at Fraunhofer IPMS and is also the deputy department manager at the Center Nanoelectronic Technologies. He earned his habilitation in electrical engineering in 2022 and his Ph.D. in Physics in 2016, both from TU Dresden. Following research scholar positions at the University of Colorado at Boulder and Stanford University, he joined the Fraunhofer Society in 2017. Dr. Kämpfe has authored over 180 peer-reviewed articles in prestigious journals and conferences such as Nature Communications, ACS Nano, Advanced Functional Materials, IEDM, VLSI, ESSCIRC, and DATE. His research focuses on brain-inspired computing, approximation computing, and computing-in-memory. In recognition of his contributions, he was awarded the George-E-Smith Award in 2023, the Dresden Excellence Award in 2023, the Excellent Paper Award at RFIT 2022, and received a Best Paper Nomination in DATE 2021. Dr. Kämpfe has actively contributed to various international conferences, serving on the organization committees or as a paper reviewer for events like DRC, EDTM, ICICDT, and AICAS.