papers

Publications (26)

cs.NE2023

Active Inference in Hebbian Learning Networks

Ali Safa, Tim Verbelen, Lars Keuninckx +5

This work studies how brain-inspired neural ensembles equipped with local Hebbian plasticity can perform active inference (AIF) in order to control dynamical agents. A generative m…

cs.NE2023

Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design

Guangzhi Tang, Ali Safa, Kevin Shidqi +6

Sparse and event-driven spiking neural network (SNN) algorithms are the ideal candidate solution for energy-efficient edge computing. Yet, with the growing complexity of SNN algori…

cs.RO2023

FMCW Radar Sensing for Indoor Drones Using Learned Representations

Ali Safa, Tim Verbelen, Ozan Catal +4

Frequency-modulated continuous-wave (FMCW) radar is a promising sensor technology for indoor drones as it provides range, angular as well as Doppler-velocity information about obst…

cs.RO2022

Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes

Ali Safa, Tim Verbelen, Ilja Ocket +4

Learning to safely navigate in unknown environments is an important task for autonomous drones used in surveillance and rescue operations. In recent years, a number of learning-bas…

eess.SP2024

Automating the Design of Multi-band Microstrip Antennas via Uniform Cross-Entropy Optimization

Ali Al-Zawqari, Ali Safa, Gert Vandersteen

Automating the design of microstrip antennas has been an active area of research for the past decade. By leveraging machine learning techniques such as Genetic Algorithms (GAs) or,…

eess.SP2021

A 2-J, 12-class, 91% Accuracy Spiking Neural Network Approach For Radar Gesture Recognition

Ali Safa, André Bourdoux, Ilja Ocket +2

Radar processing via spiking neural networks (SNNs) has recently emerged as a solution in the field of ultra-low-power wireless human-computer interaction. Compared to traditional…