activity
20162026
most citedEnsemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis

3 citations · 4 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CY2026

Beyond the Last Truffula Tree: SustainAI - A Water-Aware, Closed-Loop Framework for Environmentally Accountable AI

Farnaz Farid, Tashfia Towkee, Sania Nasreen +1

As artificial intelligence (AI) becomes embedded in everyday life, its environmental footprint, particularly water consumption remains largely invisible. While energy and carbon im…

cs.CL2026

Evaluating Health Misinformation in Low-Resource Languages: Integrating Small Language Models with a Culturally-Sensitive Responsible NLP Framework (Bangla as a Case Study)

Farnaz Farid, Raihan Alam, Al Al-Areqi +5

Artificial Intelligence (AI) technologies, while serving as a foundational enabler for modern social media and digital health services, exert a bivalent effect by simultaneously ac…

cs.CR2026

BioEnvSense: A Human-Centred Security Framework for Preventing Behaviour-Driven Cyber Incidents

Duy Anh Ta, Farnaz Farid, Farhad Ahamed +4

Modern organizations increasingly face cybersecurity incidents driven by human behaviour rather than technical failures. To address this, we propose a conceptual security framework…

cs.LG2025

Transfer Learning for Assessing Heavy Metal Pollution in Seaports Sediments

Tin Lai, Farnaz Farid, Yueyang Kuan +1

Detecting heavy metal pollution in soils and seaports is vital for regional environmental monitoring. The Pollution Load Index (PLI), an international standard, is commonly used to…

cs.HC2024

Malak: AI-based multilingual personal assistant to combat misinformation and generative AI safety issues

Farnaz Farid, Farhad Ahamed

The widespread use of AI technologies to generate digital content has led to increased misinformation and online harm. Deep fake technologies, a type of AI, make it easier to creat…

cs.LG2023★ 3 cited

Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis

Tin Lai, Farnaz Farid, Abubakar Bello +1

The Internet of Things (IoT) integrates more than billions of intelligent devices over the globe with the capability of communicating with other connected devices with little to no…

cs.LG2022★ 1 cited

Water and Sediment Analyse Using Predictive Models

Xiaoting Xu, Tin Lai, Sayka Jahan +1

The increasing prevalence of marine pollution during the past few decades motivated recent research to help ease the situation. Typical water quality assessment requires continuous…

cs.NI2016

QoS Evaluation of Heterogeneous Networks: Application-based Approach

Farnaz Farid, Seyed Shahrestani, Chun Ruan

In this paper, an application-based QoS evaluation approach for heterogeneous networks is proposed.It is possible to expand the network capacity and coverage in a dynamic fashion b…