Dynamic Identification of Participatory Mobile Health Communities. - Isam Mashhour Aljawarneh; Paolo Bellavista; Carlos Roberto De Rolt; Luca Foschini 001 (IISSC/CN4IoT, 2017)

Efficient spark-based framework for big geospatial data query processing and analysis. - Isam Mashhour Aljawarneh; Paolo Bellavista; Antonio Corradi; Rebecca Montanari; Luca Foschini 001; Andrea Zanotti (ISCC, 2017)

In-memory Spatial-Aware Framework for Processing Proximity-Alike Queries in Big Spatial Data. - Isam Mashhour Aljawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari; Andrea Zanotti (CAMAD, 2018)

SACHER Project: A Cloud Platform and Integrated Services for Cultural Heritage and for Restoration. - Silvia Bertacchi; Isam Mashhour Al Jawarneh; Fabrizio Ivan Apollonio; Gianna Bertacchi; Michele Cancilla; Luca Foschini 001; Costantino Grana; Giuseppe Martuscelli; Rebecca Montanari (GOODTECHS, 2018)

Cost-Effective Strategies for Provisioning NoSQL Storage Services in Support for Industry 4.0. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Francesco Casimiro; Antonio Corradi; Luca Foschini 001 (ISCC, 2018)

Spatial-Aware Approximate Big Data Stream Processing. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Luca Foschini 001; Rebecca Montanari (GLOBECOM, 2019)

Container Orchestration Engines: A Thorough Functional and Performance Comparison. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Filippo Bosi; Luca Foschini 001; Giuseppe Martuscelli; Rebecca Montanari; Amedeo Palopoli (ICC, 2019)

QoS and performance metrics for container-based virtualization in cloud environments. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Luca Foschini 001; Giuseppe Martuscelli; Rebecca Montanari; Amedeo Palopoli; Filippo Bosi (ICDCN, 2019)

Spatially Representative Online Big Data Sampling for Smart Cities. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari (CAMAD, 2020)

Locality-Preserving Spatial Partitioning for Geo Big Data Analytics in Main Memory Frameworks. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari (GLOBECOM, 2020)

A Pre-Filtering Approach for Incorporating Contextual Information Into Deep Learning Based Recommender Systems. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari; Javier Berrocal; Juan Manuel Murillo (IEEE Access, 2020)

Big Spatial Data Management for the Internet of Things: A Survey. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari (J. Netw. Syst. Manag., 2020)

Quality of Service Aware Data Stream Processing for Highly Dynamic and Scalable Applications. - Isam Mashhour Al Jawarneh (2020)

Efficiently Integrating Mobility and Environment Data for Climate Change Analytics. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari (CAMAD, 2021)

Context Incorporation Techniques for Social Recommender Systems. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari (ICC, 2021)

QoS-Aware Approximate Query Processing for Smart Cities Spatial Data Streams. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari (Sensors, 2021)

Efficient QoS-Aware Spatial Join Processing for Scalable NoSQL Storage Frameworks. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari (IEEE Trans. Netw. Serv. Manag., 2021)

Efficient Geospatial Analytics on Time Series Big Data. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari (ICC, 2022)

Efficient Generation of Approximate Region-based Geo-maps from Big Geotagged Data. - Isam Mashhour Al Jawarneh; Luca Foschini 001; Antonio Corradi (CAMAD, 2023)

Cost-Effective Approximate Aggregation Queries on Geospatial Big Data. - Isam Mashhour Al Jawarneh; Rebecca Montanari; Antonio Corradi (GLOBECOM (Workshops), 2023)

Efficient Integration of Heterogeneous Mobility-Pollution Big Data for Joint Analytics at Scale with QoS Guarantees. - Isam Mashhour Al Jawarneh; Luca Foschini 001; Paolo Bellavista (Future Internet, 2023)

Polygon Simplification for the Efficient Approximate Analytics of Georeferenced Big Data. - Isam Mashhour Al Jawarneh; Luca Foschini 001; Paolo Bellavista (Sensors, 2023)

Health Aware Optimized Route Planner for Reduced Urban Hyperlocal Pollution Exposure. - Reem Abdelaziz Alshamsi; Luca Foschini 001; Isam Mashhour Al Jawarneh (CAMAD, 2024)

Line Simplification for Efficient Approximate Join Queries On Big Geospatial Data. - Fatima Ahmed Alhammadi; Haya Almadhloum Alsuwaidi; Shooq Abdelrahman Alzarooni; Isam Mashhour Al Jawarneh (IDSTA, 2024)

A Novel Approximate Computing Method for Efficient Search in Satellite Remote Sensing Products. - Ali Alsalama; Ahmed Kubba; Mohammad Alsmirat; Isam Mashhour Al Jawarneh (MCNA, 2024)

SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor. - Isam Mashhour Al Jawarneh; Paolo Bellavista; Antonio Corradi; Luca Foschini 001; Rebecca Montanari (IEEE Trans. Parallel Distributed Syst., 2024)

ApproxGeoMap: An Efficient System for Generating Approximate Geo-Maps from Big Geospatial Data with Quality of Service Guarantees. - Reem Abdelaziz Alshamsi; Isam Mashhour Al Jawarneh; Luca Foschini 001; Antonio Corradi (Comput., 2025)