Our research in the Network and Distributed Systems area focuses on building decentralized systems and applications to address the challenges associated with those systems in terms of architecture, security, and reliability.
Faculty Members:
Primary:
Khalid Abualsaud (IoT, Wireless Communication)
Abdulla Al-Ali (Wireless Communication, IoT)
Amr Mohamed (Wireless Communication, IoT)
Elias Yaacoub (Wireless Communication, IoT)
Hela Chamkhia (Wireless Communication)
Ahmed Badawy (Wireless Communication)
Jurlind Budurushi (Cloud computing)
Muhammad Azeem (Wireless Communication)
Secondary:
Noora Fetais (Cloud computing)
Wadha Labda (IoT, Cloud computing)
Qutaibah Malluhi (IoT, Cloud computing)
Junaid Qadir (IoT)
Moutaz Saleh
Mohammed Al-Sada (Mobile computing)
Hela Chamkhia (IoT)
Mahmoud Barhamgi (IoT, Mobile computing)
Muhammad Azeem (Mobile computing)
Related Projects:
NPRP12S-0305-190231: Ultra Reliable Low Latency Smart Health System Design over 5G Networks for Patients with Neurological Disorders
NPRP11S-1227-170135: Designing an Efficient Smart Contract based Blockchain System from Multi-modal Supply Chain Systems
NPRP11S-1202-170052: Optimized and Secured Demand Response Using Smart Meters and Blockchain for the Qatari Grid
NPRP9-224-1-049: Spatio-Temporal Composition of Sensor Cloud Services
NPRP8-408-2-172: Light-Weight and Effective Security Schemes for Wireless Medical Devices
NPRP8-2158-1-423: Efficiently Reliable and Privacy Preserving Cloud Data Storage
NPRP7-481-1-088: Economic Models for QoS Optimization of Composite Cloud Services
NPRP5-137-2-045: New Paradigms for Robust Cloud Networking Services
NPRP4-463-2-172: Wireless Sensor Networks for Video Surveillance
NPRP4-1534-1-247: Scientific Data Management in the Cloud
NPRP09-622-1-090: Trusted Computation-Intensive Services in Cloud Computing Environments
NPRP09-310-1-058: Innovative framework for scalable signal processing and power-efficient communication in healthcare wireless body area sensor networks