Yiannis Andreopoulos

University College London, The London College

Papers

Total Citations

H-Index

About

Yiannis Andreopoulos is a leading researcher at the intersection of wireless networking and neuromorphic sensing, with key contributions spanning decentralized communication protocols and bio-inspired vision systems for the Internet of Things (IoT). His most cited work, "Decentralized Time-Synchronized Channel Swapping for Ad Hoc Wireless Networks" (2015, 76 citations), addresses a critical challenge in wireless sensor, vehicular, and drone networks by advancing time-synchronized channel hopping (TSCH) for collision-free, interference-avoiding communications. This work has influenced the design of robust, decentralized ad hoc networks. More recently, Andreopoulos has pioneered the integration of neuromorphic sensors—dynamic vision sensors (DVS) that asynchronously capture brightness changes like biological retinas—into visual IoT systems. His 2020 paper, "Challenges and Perspectives in Neuromorphic-based Visual IoT Systems and Networks" (6 citations), outlines a transformative vision for energy-efficient, event-driven sensing that bypasses traditional frame-based capture. By bridging wireless network efficiency with neuromorphic hardware, Andreopoulos is shaping next-generation systems for autonomous robots, drones, and smart environments, offering a compelling path toward low-latency, low-power visual intelligence.