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20222025
most citedEmbodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack

19 citations · 29 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

snnTrans-DHZ: A Lightweight Spiking Neural Network Architecture for Underwater Image Dehazing

Vidya Sudevan, Fakhreddine Zayer, Rizwana Kausar +4

Underwater image dehazing is critical for vision-based marine operations because light scattering and absorption can severely reduce visibility. This paper introduces snnTrans-DHZ,…

eess.IV2025

Underwater Image Enhancement by Convolutional Spiking Neural Networks

Vidya Sudevan, Fakhreddine Zayer, Rizwana Kausar +4

Underwater image enhancement (UIE) is fundamental for marine applications, including autonomous vision-based navigation. Deep learning methods using convolutional neural networks (…

cs.RO2024

Dehazing-aided Multi-Rate Multi-Modal Pose Estimation Framework for Mitigating Visual Disturbances in Extreme Underwater Domain

Vidya Sudevan, Fakhreddine Zayer, Taimur Hassan +4

This paper delves into the potential of DU-VIO, a dehazing-aided hybrid multi-rate multi-modal Visual-Inertial Odometry (VIO) estimation framework, designed to thrive in the challe…

cs.RO2024

Hybrid-Neuromorphic Approach for Underwater Robotics Applications: A Conceptual Framework

Vidya Sudevan, Fakhreddine Zayer, Sajid Javed +3

This paper introduces the concept of employing neuromorphic methodologies for task-oriented underwater robotics applications. In contrast to the increasing computational demands of…

cs.AR2024

In-Memory Computing Architecture for Efficient Hardware Security

Hala Ajmi, Fakhreddine Zayer, Hamdi Belgacem

This paper presents an innovative approach utilizing in-memory computing (IMC) for the development and integration of AES (Advanced Encryption Standard) cipher technique. Our resea…

physics.app-ph2024

Simulation of Chemical Engineering Memristive Biosensor

Manel Bouzouita, Fakhreddine Zayer, Hamdi Belgacem

This paper introduces a perspective approach for simulating a memristive sensor tailored for low power biological analyte detection. The necessity for such innovation stems from th…

eess.SP2024

Efficient Hybrid Neuromorphic-Bayesian Model for Olfaction Sensing: Detection and Classification

Rizwana Kausar, Fakhreddine Zayer, Jaime Viegas +1

Olfaction sensing in autonomous robotics faces challenges in dynamic operations, energy efficiency, and edge processing. It necessitates a machine learning algorithm capable of man…

physics.app-ph2024★ 1 cited

Exploring Memristive Biosensing Dynamics: A COMSOL Multiphysics Approach

Manel Bouzouita, Fakhreddine Zayer, Ioulia Tzouvadaki +2

This paper presents a novel methodology for modeling memristive biosensing within COMSOL Multiphysics, focusing on critical performance metrics such as antigen-antibody binding con…

cs.RO2024★ 19 cited

Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack

Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer +2

Robotic technologies have been an indispensable part for improving human productivity since they have been helping humans in completing diverse, complex, and intensive tasks in a f…

cs.CR2022★ 9 cited

Efficient and Lightweight In-memory Computing Architecture for Hardware Security

Hala Ajmi, Fakhreddine Zayer, Amira Hadj Fredj +4

The paper proposes in-memory computing (IMC) solution for the design and implementation of the Advanced Encryption Standard (AES) based cryptographic algorithm. This research aims…