Research Interests
Open to PhD applications in the fields of:
- Custom hardware and high-level synthesis for FPGA
- Edge computing and cyber-physical systems
- Signal processing systems
- Dataflow computing
- Neuromorphic computing and spiking neural networks
John’s research addresses the design of custom hardware for embedded/edge signal processing and machine learning applications – particularly Field Programmable Gate Array (FPGA). It sits at the intersection of advanced algorithm, compiler/synthesis technology and custom hardware architectures. He is particularly interested in novel computational paradigms, including dataflow, neuromorphic and quantum computing.
Open to PhD applications in the fields of: