Resilient Communication Systems Lab
We envision a future where communication is not merely faster, but inherently intelligent, adaptive, and resilient by design. Our research encompasses both the electromagnetic (macroscale) and molecular (microscale) domains, with a strong emphasis on physical-layer modeling, system design, and performance analysis as the foundation of next-generation communication systems (6G and beyond). To realize this vision, we draw on tools from information theory, signal processing, and artificial intelligence.
In the electromagnetic domain, we explore innoviative wireless paradigms that integrate communication, sensing, and computation across cloud-edge-device continua. We research emerging concepts such as programmable radio environments, communication-constrained distributed sensing, and data-driven wireless channel awareness in order to create adaptive and robust wireless networks that are capable of operating reliably in highly dynamic and constrained conditions, even under disruptions.
In parallel, we pioneer communication at the molecular scale, inspired by biological systems and extended through synthetic designs. From in-body nano-networks to airborne molecular signaling, we explore bio-compatible, energy-efficient, and context-aware communication mechanisms that open new frontiers in healthcare, environmental monitoring, and industrial settings.
Visit our ongoing research projects and recent publications for more information.
News
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Best Paper Award for an RCS Contribution at IEEE WoWMoM
June 18, 2026
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Paper accepted: Autoencoder-based Optimization of Molecule Mixture Communication Systems
June 18, 2026
The paper “Autoencoder-based Optimization of Multi-user Molecule Mixture Communication Systems” has been accepted at the IEEE 27th International Workshop on Signal Processing and Artificial Intelligence in Wireless Communications (IEEE SPAWC 2026), taking place from September 6 to 9, 2026, in Athens, Greece.
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Paper Accepted: “Flexible RISs: Learning-based Array Manifold Estimation and Phase-shift Optimization”
June 02, 2026
European Signal Processing Conference (EUSIPCO) 2026 in Belgium
Reconfigurable intelligent surfaces (RISs) are envisioned as a key enabler for next-generation wireless networks, offering programmable control over propagation environments.