Abdi Diriba
Papers
1
Total Citations
8
H-Index
1
About
Abdi Diriba is a forward-thinking researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and drone technology, with a particular focus on enabling smarter, more connected urban environments. His most cited work, "An Artificial Intelligence Mechanism for the Prediction of Signal Strength in Drones to IoT Devices in Smart Cities" (2022), addresses a critical challenge in smart city infrastructure: maintaining reliable communication between aerial drones and ground-based IoT sensors. By developing an AI-driven predictive model, Diriba’s research helps optimize drone flight paths and data transmission, ensuring that these autonomous systems can operate effectively even in complex, obstacle-rich urban landscapes. This contribution is vital for applications ranging from emergency response and environmental monitoring to logistics and public safety. With 8 citations to date, his work is gaining traction among researchers exploring the convergence of AI and IoT for real-world smart city solutions. Diriba’s research stands out for its practical approach to solving the signal degradation problems that often plague drone-to-device communications, making him a notable emerging voice in the field of intelligent urban systems.
Research Focus
Key Achievements
Top Papers
- 1