Hardware-aware SNN Framework
A framework for designing and evaluating spiking neural networks with hardware constraints in mind, targeting efficient deployment on neuromorphic and edge platforms.
Selected work
Engineering and research projects across SNN inference, neuromorphic deployment, event-based sensing, and technical tooling.
A framework for designing and evaluating spiking neural networks with hardware constraints in mind, targeting efficient deployment on neuromorphic and edge platforms.
A live inference pipeline for spoken digit recognition using spiking neural representations and temporal feature processing.
Deployment-oriented exploration of spoken digit classification on Intel Loihi for efficient neuromorphic inference.
High-speed classification of event-camera streams using sparse, asynchronous representations optimised for low-latency neuromorphic pipelines.
Event-based sensing project that estimates string dynamics from sparse visual events for low-latency guitar tuning.
A focused technical utility for normalizing references into IEEE style with clean parsing and reproducible formatting.
An AI-driven system that generates and grades reading texts adapted to learner proficiency levels, supporting structured language acquisition.