Ibrahim Shaer
YOU?
Author Swipe
View article: Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure Open
With the growing need for real-time processing on IoT devices, optimizing machine learning (ML) models' size, latency, and computational efficiency is essential. This paper investigates a pruning method for anomaly detection in resource-co…
View article: Thwarting Cybersecurity Attacks with Explainable Concept Drift
Thwarting Cybersecurity Attacks with Explainable Concept Drift Open
Cyber-security attacks pose a significant threat to the operation of autonomous systems. Particularly impacted are the Heating, Ventilation, and Air Conditioning (HVAC) systems in smart buildings, which depend on data gathered by sensors a…
View article: Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environments
Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environments Open
The hyper-parameter optimization (HPO) process is imperative for finding the best-performing Convolutional Neural Networks (CNNs). The automation process of HPO is characterized by its sizable computational footprint and its lack of transp…
View article: WrapperRL: Reinforcement Learning Agent for Feature Selection in High-Dimensional Industrial Data
WrapperRL: Reinforcement Learning Agent for Feature Selection in High-Dimensional Industrial Data Open
Finding the set of discriminatory features in a classification task is imperative for the interpretability of the “black box” deep learning (DL) models, especially in high-stakes industrial applications such as predictive maintenance and i…
View article: CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment
CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment Open
The Federated Learning (FL) paradigm faces several challenges that limit its\napplication in real-world environments. These challenges include the local\nmodels' architecture heterogeneity and the unavailability of distributed\nInternet of…
View article: Hierarchical Modelling for CO2 Variation Prediction for HVAC System Operation
Hierarchical Modelling for CO2 Variation Prediction for HVAC System Operation Open
Residential and industrial buildings are significant consumers of energy, which can be reduced by controlling their respective Heating, Ventilation, and Air Conditioning (HVAC) systems. Demand-based Ventilation (DCV) determines the operati…
View article: Sound Event Classification in an Industrial Environment: Pipe Leakage Detection Use Case
Sound Event Classification in an Industrial Environment: Pipe Leakage Detection Use Case Open
In this work, a multi-stage Machine Learning (ML) pipeline is proposed for pipe leakage detection in an industrial environment. As opposed to other industrial and urban environments, the environment under study includes many interfering ba…
View article: Concept Drift Detection in Federated Networked Systems
Concept Drift Detection in Federated Networked Systems Open
As next-generation networks materialize, increasing levels of intelligence are required. Federated Learning has been identified as a key enabling technology of intelligent and distributed networks; however, it is prone to concept drift as …
View article: Multi-Component V2X Applications Placement in Edge Computing Environment
Multi-Component V2X Applications Placement in Edge Computing Environment Open
Vehicle-to-everything (V2X) services are attracting a lot of attention in the research and industry communities due to their applicability in the landscape of connected and autonomous vehicles. Such applications have stringent performance …
View article: Evanescent gravitational waves
Evanescent gravitational waves Open
Vehicle-to-everything (V2X) services are attracting a lot of attention in the research and industry communities due to their applicability in the landscape of connected and autonomous vehicles. Such applications have stringent performance …
View article: Network Resource and Performance Optimization in Autonomous Systems: A Connected Vehicles and Autonomous Networks Perspective
Network Resource and Performance Optimization in Autonomous Systems: A Connected Vehicles and Autonomous Networks Perspective Open
This thesis covers two topics that optimize a network-related problem subject to environment-specific constraints; placing vehicular applications and executing network traffic assignment changes. The first topic introduces an optimization …