Talk, Irish Signals & Systems Conference (ISSC 2025), ATU Donegal, Ireland
This talk presents a novel framework for image blur detection using a Universal Approximated Real-Valued Fast Fourier Transform (FFT). The method leverages the universal approximation theorem to design a lightweight artificial neural network (ANN) that approximates the real part of FFT outputs, enabling efficient blur detection in images.
Talk, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Online
This presentation introduced a co-approximate framework for parallel compressive depth reconstruction on FPGA.
Talk, Irish Signals and Systems Conference (ISSC), Belfast, UK
This talk presented a checkerboard-style approximate K-SVD algorithm tailored for resource-constrained embedded systems.
Key contributions included:
Tutorial, Cranfield University, Cranfield, UK
This invited talk explored Reconfigurable Approximate Computing in Autonomous Systems, focusing on the balance between energy efficiency and trustworthiness.