Jameela Al‐Jaroodi

About

Jameela Al-Jaroodi is a prominent researcher whose work spans robotics, networked systems, middleware, and emerging computing paradigms, with particular focus on how these technologies can be integrated to enable intelligent, real-world applications. She is perhaps best known for her highly influential 2018 paper "Unmanned Aerial Vehicles Applications in Future Smart Cities," which has amassed over 430 citations and established her as a key voice in the UAV and smart city discourse. Her foundational contributions to robotics middleware, including her widely cited 2008 survey on the topic (138 citations) and a subsequent review of networked robot middleware (58 citations), helped shape how the field understands the software infrastructure essential for complex robotic deployments. Al-Jaroodi has consistently explored multi-robot systems, examining their networking architectures, security challenges, and integration with cutting-edge computing frameworks such as fog computing. More recently, she has extended her research into Agriculture 4.0, exploring how multi-robot systems can modernize smart farming. Across more than a decade of sustained scholarship, her work reflects a commitment to bridging theoretical frameworks with practical, large-scale applications, making her research essential reading for students and professionals working at the intersection of robotics, networking, and intelligent systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Unmanned aerial vehicles applications in future smart cities

   432 citations · 2018
2. 2
   Middleware for Robotics: A Survey

   138 citations · 2008
3. 3
   A Review of Middleware for Networked Robots

   58 citations · 2009
4. 4
   Networking of Multi-Robot Systems: Architectures and Requirements

   31 citations · 2018
5. 5
   Middleware is STILL Everywhere!!!

   22 citations · 2012
6. 6
   Fog-Enabled Multi-Robot Systems

   12 citations · 2018
7. 7
   Networking Architectures and Protocols for Multi-Robot Systems in Agriculture 4.0

   8 citations · 2022
8. 8
   Utilizing Fog Computing for Multi-robot Systems

   7 citations · 2018
9. 9
   A Cost-Effective Design for Combining Sensing Robots and Fixed Sensors for Fault-Tolerant Linear Wireless Sensor Networks

   7 citations · 2014
10. 10
    Secure Communication in Multi-Robot Systems

    6 citations · 2020

Key Collaborators

Contact & Links