6 citations · 13 across the 15 of their papers we have counts for
15 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…
Memristor Technologies for Dynamic Vision Sensors: A Critical Assessment and Research Roadmap
Mohamad Yazan Sadoun, Edris Zaman Farsa, Sarah Sharif +1
Edge-AI deployment is bottlenecked by data-movement energy; pairing event-driven vision sensors with in-memory analog compute could lift that ceiling by orders of magnitude. Both t…
Toward Digital Twins in 3D IC Packaging: A Critical Review of Physics, Data, and Hybrid Architectures
Gourab Datta, Sarah Safura Sharif, Yaser Mike Banad
Three-dimensional integrated circuit (3D IC) pack-aging and heterogeneous integration have emerged as central pillars of contemporary semiconductor scaling. Yet, the multi-physics…
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…
XG-Attention-WGAN PIC: Utilizing XGboost-Attention-WGAN for Photonics Integrated Circuit Design
Mahmood Hasani, Atena Shircharandabi, Masiha Rabiei +4
Photonic Integrated Circuits (PICs) are fundamental for optical computing, communication, quantum information processing, and precision sensing. However, traditional numerical simu…
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…
Ultra-Low-Power Spiking Neurons in 7 nm FinFET Technology: A Comparative Analysis of Leaky Integrate-and-Fire, Morris-Lecar, and Axon-Hillock Architectures
Logan Larsh, Raiyan Siddique, Sarah Sharif Yaser Mike Banad
Neuromorphic computing aims to replicate the brain's remarkable energy efficiency and parallel processing capabilities for large-scale artificial intelligence applications. In this…
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…
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…
Design of Tunable Perfect Absorbers in the Mid-IR Spectrum Using Graphene-Based Multilayer Structures: Emerging Applications in Atmospheric Window Matching
Masoumeh Nazari, Yaser Mike Banad, Sarah S. Sharif
This paper introduces tunable and switchable Perfect Absorbers (PAs) operating within the mid-infrared spectrum, specifically targeting the 3 to 5 um range at 0.25 um intervals. Th…
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…
Optical Properties and Behavior of Whispering Gallery Mode Resonators in Complex Microsphere Configurations: Insights for Sensing and Information Processing Applications
Yaser M. Banad, Syed Mohammad Abid Hasan, Sarah S. Sharif +2
Whispering gallery mode (WGM) resonators are garnering significant attention due to their unique characteristics and remarkable properties. When integrated with optical sensing and…
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…
Surpassing the Standard Quantum Limit using an Optical Spring
Torrey Cullen, Scott Aronson, Ron Pagano +9
Quantum mechanics places noise limits and sensitivity restrictions on physical measurements. The balance between unwanted backaction and the precision of optical measurements impos…