6 citations · 14 across the 10 of their papers we have counts for
10 papers
Unified Complex-valued Neural Network: A Magnitude-Phase Computational Model for Event-Driven Neuromorphic Learning
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
Artificial neural networks (ANN) provide accurate continuous-valued representation, whereas spiking neural networks (SNN) offer event-driven temporal processing, yet both paradigms…
A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
Reza Ahmadvand, Sara Safura Sharif, Yaser Mike Banad
Hippocampal neurons exhibit precise phase locking to network oscillations, but the computational principle governing this temporal precision is still unclear. Neural information is…
Event-based Heterogeneous Information Processing for Online Vision-based Obstacle Detection and Localization
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
This paper introduces a novel framework for robotic vision-based navigation that integrates Hybrid Neural Networks (HNNs) with Spiking Neural Network (SNN)-based filtering to enhan…
Novel Pigeon-inspired 3D Obstacle Detection and Avoidance Maneuver for Multi-UAV Systems
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
Recent advances in multi-agent systems manipulation have demonstrated a rising demand for the implementation of multi-UAV systems in urban areas, which are always subjected to the…
Neuromorphic Digital-Twin-based Controller for Indoor Multi-UAV Systems Deployment
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
Presented study introduces a novel distributed cloud-edge framework for autonomous multi-UAV systems that combines the computational efficiency of neuromorphic computing with natur…
Swarm Intelligence in Collision-free Formation Control for Multi-UAV Systems with 3D Obstacle Avoidance Maneuvers
Reza Ahmadvand, Sarah Sharif, Yaser Banad
Recent advances in multi-agent systems manipulation have demonstrated a rising demand for the implementation of multi-UAV systems in urban areas which are always subjected to the p…
Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite Rendezvous
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
State estimation of nonlinear dynamical systems has long aimed to balance accuracy, computational efficiency, robustness, and reliability. The rapid evolution of various industries…
A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rules
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
This paper presents a novel cloud-edge framework for addressing computational and energy constraints in complex control systems. Our approach centers around a learning-based contro…
Neuromorphic Robust Framework for Concurrent Estimation and Control in Dynamical Systems using Spiking Neural Networks
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
Concurrent estimation and control of robotic systems remains an ongoing challenge, where controllers rely on data extracted from states/parameters riddled with uncertainties and no…
Enhancing Energy Efficiency and Reliability in Autonomous Systems Estimation using Neuromorphic Approach
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
Energy efficiency and reliability have long been crucial factors for ensuring cost-effective and safe missions in autonomous systems computers. With the rapid evolution of industri…