Jeroen Famaey

About

Jeroen Famaey is a leading researcher at the intersection of wireless communications, the Industrial Internet of Things (IIoT), and autonomous multi-robot systems. His work is pivotal in advancing the connectivity and intelligence of next-generation industrial networks. Famaey’s most influential contribution is his comprehensive 2020 survey on wireless technology trade-offs for the IIoT, which has garnered 109 citations and serves as a foundational guide for deploying Industrial Wireless Sensor and Actuator Networks (IWSANs). This work addresses the critical challenge of balancing cost, reliability, and latency in harsh industrial environments. He has also pioneered innovative approaches to resource management, including energy-aware meta-heuristic optimization for scheduling tasks in ambiently-powered robot swarms, and deep learning models for traffic classification directly from radio spectrum data, a privacy-preserving technique. His recent work on low-latency, symbol-synchronous communication for multi-hop sensor networks further underscores his commitment to enabling real-time, scalable, and energy-efficient industrial systems. Famaey’s research is not only highly cited but also directly shapes the future of smart manufacturing and autonomous industrial operations.

Research Focus

Key Achievements

Top Papers

1. 1
   Survey on Wireless Technology Trade-Offs for the Industrial Internet of Things

   109 citations · 2020
2. 2
   Energy-aware multi-robot task scheduling using meta-heuristic optimization methods for ambiently-powered robot swarms

   22 citations · 2024
3. 3
   Traffic classification at the radio spectrum level using deep learning models trained with synthetic data

   14 citations · 2020
4. 4
   Low-latency Symbol-Synchronous Communication for Multi-hop Sensor Networks

   1 citations · 2024

Key Collaborators

Contact & Links