1. Neural Learning Pixels (2013-present)
In this research, we develop neural co-processors to be integrated with CMOS pixel sensors to provide near-edge computing for image processing and recognition problems in real-time environments.
2. Cognitive computing architectures (2006-present)
In this research, we work on a range of co-processor design for near-edge computing, specifically focused on reconfigurable neural networks. Our main focus is on analog circuits and memristor arrays, and its emulators both at systems and circuits level.
3. Memristive-CMOS threshold logic systems
4. Neural pathways and biocomputing