activity
20182025
most citedGreen UAV-enabled Internet-of-Things Network with AI-assisted NOMA for Disaster Management

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025

Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks

Idris Zakariyya, Ferheen Ayaz, Mounia Kharbouche-Harrari +4

Reducing the memory footprint of Machine Learning (ML) models, especially Deep Neural Networks (DNNs), is imperative to facilitate their deployment on resource-constrained edge dev…

eess.SY2023

Smart Energy Management with Optimized Prosumerism for Achieving Dynamic Net-Zero Balance in Electrified Road Transport Networks

Ferheen Ayaz, Maziar Nekovee

The increasing number of Electric Vehicles (EVs) have led to rising energy demands which aggregates the burden on grid supply. A few solutions have been proposed to reduce grid loa…

cs.LG2023

Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks

Ferheen Ayaz, Idris Zakariyya, José Cano +4

Reducing the memory footprint of Machine Learning (ML) models, particularly Deep Neural Networks (DNNs), is essential to enable their deployment into resource-constrained tiny devi…

cs.NI2023★ 2 cited

Green UAV-enabled Internet-of-Things Network with AI-assisted NOMA for Disaster Management

Muhammad Ali Jamshed, Ferheen Ayaz, Aryan Kaushik +2

Unmanned aerial vehicle (UAV)-assisted communication is becoming a streamlined technology in providing improved coverage to the internet-of-things (IoT) based devices. Rapid deploy…

cs.CR2021

A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks

Ferheen Ayaz, Zhengguo Sheng, Daxin Tian +1

Message exchange among vehicles plays an important role in ensuring road safety. Emergency message dissemination is usually carried out by broadcasting. However, high vehicle densi…

eess.SP2018

Analysis of Optimized Threshold with SLM based Blanking Non-Linearity for Impulsive Noise Reduction in Power Line Communication Systems

Ferheen Ayaz, Khaled Rabie, Bamidele Adebisi

High amplitude impulsive noise (IN) occurrence over power line channels severely degrades the performance of Orthogonal Frequency Division Multiplexing (OFDM)systems. One of the si…