Daniel Gerlinghoff

Daniel Gerlinghoff received the bachelor’s degree in electrical engineering by the Leipzig University of Applied Sciences, Germany, in 2017. He carried out internships as software developer and digital circuit designer, before continuing his studies towards a master’s degree in integrated circuit design with Nanyang Technological University, Singapore. As part of his dissertation, he implemented a neural network inference accelerator on FPGA, which was tightly constrained by power and logic resources. After his graduation in 2020, he continues research on FPGA-based machine learning and heterogeneous computing as a research engineer with Institute of High Performance Computing, Agency for Science Technology and Research, Singapore.