Imad Jawhar

About

Imad Jawhar is a prominent researcher whose work spans unmanned aerial vehicles (UAVs), wireless sensor networks, multi-robot systems, and intelligent infrastructure monitoring. His most influential contribution, "Unmanned Aerial Vehicles Applications in Future Smart Cities" (2018), has amassed over 430 citations, establishing him as a leading voice in the integration of drone technology within urban environments. Jawhar's early research laid critical groundwork in pipeline infrastructure monitoring, developing wireless sensor network frameworks and routing protocols specifically designed for oil, gas, and water pipeline surveillance — work that collectively attracted hundreds of citations and addressed real-world industrial safety challenges. A recurring theme throughout his career is the seamless coordination of complex networked systems. His widely cited surveys on robotics middleware (2008, 2009) helped define best practices for enabling robots to communicate and collaborate effectively, garnering nearly 200 combined citations. More recently, Jawhar has explored the convergence of fog computing and multi-robot systems, and extended his networking expertise to Agriculture 4.0 applications. Across more than a decade of sustained output, his research consistently bridges theoretical frameworks with practical deployment challenges, making his work indispensable reading for engineers and researchers working at the intersection of robotics, networking, and smart 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 framework for pipeline infrastructure monitoring using wireless sensor networks

   127 citations · 2007
4. 4
   A Review of Middleware for Networked Robots

   58 citations · 2009
5. 5
   A routing protocol and addressing scheme for oil, gas, and water pipeline monitoring using wireless sensor networks

   56 citations · 2008
6. 6
   Networking of Multi-Robot Systems: Architectures and Requirements

   31 citations · 2018
7. 7
   Ferry-based linear wireless sensor networks

   20 citations · 2013
8. 8
   Fog-Enabled Multi-Robot Systems

   12 citations · 2018
9. 9
   Networking Architectures and Protocols for Multi-Robot Systems in Agriculture 4.0

   8 citations · 2022
10. 10
    Utilizing Fog Computing for Multi-robot Systems

    7 citations · 2018

Key Collaborators

Contact & Links