3 papers
eess.SP2026
IO Pad Integrity in Energy-Efficient Neuromorphic Chips
Arfan Ghani
Neuromorphic computing relies on low-power, high-reliability hardware, yet the integrity of input/output pads (IOPADs) remains an underexplored factor affecting system performance.…
eess.SP2026
MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads
D Negasa, N. O Mohamed, Arfan Ghani
Matrix multiplication is a fundamental computational kernel underlying a wide range of real-world applications, including machine learning, scientific computing, signal processing,…
eess.SP2025
HiLTS: Human in the Loop Therapeutic System: A Wireless-enabled Precision Medicine Platform for Brainwave Entrainment
Arfan Ghani
Epileptic seizures arise from abnormally synchronised neural activity and remain a major global health challenge, affecting more than 50 million people worldwide. Despite advances…