30 citations · 41 across the 30 of their papers we have counts for
34 papers
Energy-Predictive Planning for Optimizing Drone Service Delivery
Guanting Ren, Babar Shahzaad, Balsam Alkouz +2
We propose a novel Energy-Predictive Drone Service (EPDS) framework for efficient package delivery within a skyway network. The EPDS framework incorporates a formal modeling of an…
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…
Impact Conflict Detection of IoT Services in Multi-resident Smart Homes
Dipankar Chaki, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel impact conflict detection framework for IoT services in multi-resident smart homes. The proposed impact assessment model is developed based on the integral of a…
Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services
Muhammad Umair, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel framework for crowdsourced images to determine the likelihood of an image being fake. We use a service-oriented approach to model and represent crowdsourced imag…
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…
Positional Encoding-based Resident Identification in Multi-resident Smart Homes
Zhiyi Song, Dipankar Chaki, Abdallah Lakhdari +1
We propose a novel resident identification framework to identify residents in a multi-occupant smart environment. The proposed framework employs a feature extraction model based on…
Detecting Changes in Crowdsourced Social Media Images
Muhammad Umair, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel service framework to detect changes in crowdsourced images. We use a service-oriented approach to model and represent crowdsourced images as image services. Non-…
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…
Failure-Sentient Composition For Swarm-Based Drone Services
Balsam Alkouz, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel failure-sentient framework for swarm-based drone delivery services. The framework ensures that those drones that experience a noticeable degradation in their per…
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…
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…
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…
Service-based Trajectory Planning in Multi-Drone Skyway Networks
Sarah Bradley, Albertus Alvin Janitra, Babar Shahzaad +3
We present a demonstration of service-based trajectory planning for a drone delivery system in a multi-drone skyway network. We conduct several experiments using Crazyflie drones t…
Drone Formation for Efficient Swarm Energy Consumption
Shilong Guo, Balsam Alkouz, Babar Shahzaad +2
We demonstrate formation flying for drone swarm services. A set of drones fly in four different swarm formations. A dataset is collected to study the effect of formation flying on…
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…
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…
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…
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…
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…
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…
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…
You Are What You Use: Usage-based Profiling in IoT Environments
Manan Choksi, Dipankar Chaki, Abdallah Lakhdari +1
Habit extraction is essential to automate services and provide appliance usage insights in the smart home environment. However, habit extraction comes with plenty of challenges in…
Autonomous Delivery of Multiple Packages Using Single Drone in Urban Airspace
Seunghyun Lee, Babar Shahzaad, Balsam Alkouz +2
Current drone delivery solutions mainly focus on single package delivery using one drone. However, the recent developments in drone technology enable a drone to deliver multiple pa…
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,…