activity
20202026
most citedImpact of Spatial Proximity on Drone Services

4 citations · 13 across the 19 of their papers we have counts for

collaborators

22 papers

cs.ET2026★ 4 cited

Impact of Spatial Proximity on Drone Services

Vejaykarthy Srithar, Syeda Amna Rizvi, Amani Abusafia +2

We demonstrate the peer-to-peer impact of drones flying in close proximity. Understanding these impacts is crucial for planning efficient drone delivery services. In this regard, w…

eess.SP2025

Privacy-aware IoT Fall Detection Services For Aging in Place

Abdallah Lakhdari, Jiajie Li, Amani Abusafia +1

Fall detection is critical to support the growing elderly population, projected to reach 2.1 billion by 2050. However, existing methods often face data scarcity challenges or compr…

eess.SY2024

Context-Aware Trustworthy IoT Energy Services Provisioning

Amani Abusafia, Athman Bouguettaya, Abdallah Lakhdari

We propose an IoT energy service provisioning framework to ensure consumers' Quality of Experience (QoE). A novel context-aware trust assessment model is proposed to evaluate the t…

cs.RO2023

Immersive 3D Simulator for Drone-as-a-Service

Jiamin Lin, Balsam Alkouz, Athman Bouguettaya +1

We propose a 3D simulator tailored for the Drone-as-a-Service framework. The simulator enables employing dynamic algorithms for addressing realistic delivery scenarios. We present…

cs.DC2023

Flow-Based Energy Services Composition

Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya

We propose a novel spatio-temporal service composition framework for crowdsourcing multiple IoT energy services to cater to multiple energy requests. We define a new energy service…

cs.SI2023

CrowdWeb: A Visualization Tool for Mobility Patterns in Smart Cities

Yisheng Alison Zheng, Abdallah Lakhdari, Amani Abusafia +2

Human mobility patterns refer to the regularities and trends in the way people move, travel, or navigate through different geographical locations over time. Detecting human mobilit…

cs.DC2023

Energy Loss Prediction in IoT Energy Services

Pengwei Yang, Amani Abusafia, Abdallah Lakhdari +1

We propose a novel Energy Loss Prediction(ELP) framework that estimates the energy loss in sharing crowdsourced energy services. Crowdsourcing wireless energy services is a novel a…

cs.DC2023★ 4 cited

Activity-based Profiling for Energy Harvesting Estimation

Jiajie Li, Amani Abusafia, Abdallah Lakhdari +1

We propose a novel activity-based profiling framework to estimate IoT users' harvested energy based on their daily activities. Energy is harvested from natural sources such as the…

cs.NI2023

Monitoring Efficiency of IoT Wireless Charging

Pengwei Yang, Amani Abusafia, Abdallah Lakhdari +1

Crowdsourcing wireless energy is a novel and convenient solution to charge nearby IoT devices. Several applications have been proposed to enable peer-to-peer wireless energy chargi…

cs.NI2022

Towards peer-to-peer sharing of wireless energy services

Pengwei Yang, Amani Abusafia, Abdallah Lakhdari +1

Crowdsourcing wireless energy services is a novel convenient alternative to charge IoT devices. We demonstrate peer-to-peer wireless energy services sharing between smartphones ove…

cs.RO2022

In-Flight Energy-Driven Composition of Drone Swarm Services

Balsam Alkouz, Amani Abusafia, Abdallah Lakhdari +1

We propose a novel framework for swarm-based drone delivery services with in-flight energy recharging. The framework aims to enhance the delivery time of multiple packages by reduc…

cs.NI2022

Service-Based Wireless Energy Crowdsourcing

Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya

We propose a novel service-based ecosystem to crowdsource wireless energy to charge IoT devices. We leverage the service paradigm to abstract wireless energy crowdsourcing from nea…

cs.DC2022★ 3 cited

Maximizing Consumer Satisfaction of IoT Energy Services

Amani Abusafia, Athman Bouguettaya, Abdallah Lakhdari

We propose a novel Quality of Experience (QoE)-aware framework to crowdsource IoT energy services efficiently. The proposed framework leverages the provisioning of energy services…

cs.SI2022

IMAP: Individual huMAn mobility Patterns visualizing platform

Yisheng Alison Zheng, Amani Abusafia, Abdallah Lakhdari +2

Understanding human mobility is essential for the development of smart cities and social behavior research. Human mobility models may be used in numerous applications, including pa…

cs.NI2022

DIY-IPS: Towards an Off-the-Shelf Accurate Indoor Positioning System

Riccardo Menon, Abdallah Lakhdari, Amani Abusafia +2

We present DIY-IPS - Do It Yourself - Indoor Positioning System, an open-source real-time indoor positioning mobile application. DIY-IPS detects users' indoor position by employing…

cs.HC2022

The Nudging Effect on Tracking Activity

Ruochun Wang, Amani Abusafia, Abdallah Lakhdari +1

Wearables activity trackers are becoming widely adopted to understand individual behavior. Understanding behavior may help in self-regulation such as self-monitoring, goal-setting,…

cs.DC2022★ 2 cited

Quality of Experience Optimization in IoT Energy Services

Amani Abusafia, Athman Bouguettaya, Abdallah Lakhdari

We propose a novel Quality of Experience (QoE) metric as a key criterion to optimize the composition of energy services in a crowdsourced IoT environment. A novel importance-based…

cs.DC2022

Wireless IoT Energy Sharing Platform

Jessica Yao, Amani Abusafia, Abdallah Lakhdari +1

Wireless energy sharing is a novel convenient alternative to charge IoT devices. In this demo paper, we present a peer-to-peer wireless energy sharing platform. The platform enable…

cs.CV2021

Occupancy Estimation from Thermal Images

Zishan Qin, Dipankar Chaki, Abdallah Lakhdari +2

We propose a non-intrusive, and privacy-preserving occupancy estimation system for smart environments. The proposed scheme uses thermal images to detect the number of people in a g…

cs.DC2020

Crowdsharing Wireless Energy Services

Abdallah Lakhdari, Amani Abusafia, Athman Bouguettaya

We propose a novel self-sustained ecosystem for energy sharing in the IoT environment. We leverage energy harvesting, wireless power transfer, and crowdsourcing that facilitate the…

cs.DC2020

Reliability Model for Incentive-Driven IoT Energy Services

Amani Abusafia, Athman Bouguettaya

We propose a novel reliability model for composing energy service requests. The proposed model is based on consumers' behavior and history of energy requests. The reliability model…

cs.DC2020

Incentive-Based Selection and Composition of IoT Energy Services

Amani Abusafia, Athman Bouguettaya, Sajib Mistry

We propose a novel incentive-based framework for composing energy service requests. An incentive model is designed that considers the context of the providers and consumers to dete…