ECE Professor Predrag Spasojevic and his student Sean Johnson have been awarded honorable mention for the Best Paper at WINNAI 2026 https://conference.wirelessinnovation.org/ for their work: 

Predictive Propagation Modeling Guided by Sensor-Driven Multimodal FoF Scene Assessment

Authors: Rudhra Joshi, Sean B Johnson:, Zubair Hafeez, Silvija Kokalj-Filipovic, Predrag Spasojevic

This work was performed in collaboration with a team from Rowan University. And a short description is as follows:

NextG's demands for ultralow-latency, low-overhead channel estimation are driving interest in predictive RF generative AI (GenAI), which provides strong channel priors for fast Bayesian estimates. In factory-of-the-future (FoF) contexts — characterized by dense mobile wireless scenarios and severe electromagnetic interference — we propose SceneSense, a GenAI agentic framework that adapts channel priors through multimodal prompts (text, drawings, LiDAR point clouds, or photos) to enable real-time wireless channel simulation and prediction. SceneSense addresses the computational burden of physics-based tools like NVIDIA's Sionna, which uses ray-tracing through Blender-modeled 3D scenes to compute channel impulse responses (CIRs) for transmitter-receiver pairs — a process that becomes especially demanding in time-varying Massive MIMO scenarios.

Congratulations to Predrag and Sean!