CEMSE Weekly Updates - November 3, 2026 Mon, Nov 2 2026 Newsletter Upcoming Events Stay informed about the upcoming events and the latest news from CEMSE. Key Devices and Applications of Visible Light Communication for 6G Zengyi Xu, Postdoctoral Research Fellow, Electrical and Computer Engineering Nov 8, 12:00 - 13:00 B9 R2325 GaN GaN-based LED MIMO vlc Visible light communications communication systems This talk will explores a joint theoretical modeling method for GaN‑based light‑emitting diodes, develops high‑speed integrated LED transmitter chips, implements high‑performance GaN‑based short‑wavelength photodetector receivers for multi‑access MIMO VLC networks, and pioneers a perovskite superlattice fluorescent‑antenna‑based wide‑field‑of‑view receiver to break the rate‑field‑of‑view‑effective‑area trade‑off limitation of VLC receivers. Polytopal Element Methods In Mathematics and Engineering (POEMS) 2026 Nov 9, 08:00 - Nov 12, 17:00 KAUST - Auditorium between B2 & B3 polytopal elements virtual elements Discontinuous Galerkin Join POEMS 2026 to explore advances in polytopal numerical methods and their applications in fluid-structure interactions, porous media, geoscience, biology and fracture mechanics. Networked Signal Processing for Large-Scale Satellite Navigation Xuexian Zheng, Ph.D. Student, Electrical and Computer Engineering Nov 9, 10:00 - 12:00 B2 R5220 Navigation LEO Satellite-based Communication Networks LEO Satellites GNSS localization PPP-RTK precise point positioning This dissertation develops a networked signal processing framework for large-scale satellite navigation, in which receivers or satellites act as graph-connected agents that process local observations and exchange compact messages with neighboring nodes. AI for Sports Silvio Giancola, Research Scientist, Electrical and Computer Engineering Nov 9, 12:00 - 13:00 B9 R2325 AI Sports This talk will explore how computer vision and multimodal AI can help us understand sports, using football as a central example. Efficient Deep Neural Network Inference with Near-Edge Accelerator Offload Hao Liu, Ph.D. Student, Computer Science Nov 11, 09:30 - 11:30 B2 R5220 edge computing Efficient AI accelerators multi-stage optimization algorithm distributed computing Distributed algorithms This thesis develops efficient distributed inference strategies for deep neural networks that exploit near-edge accelerators through edge, near-edge, and cloud tier offloading, optimized model partitioning, and collaborative expert-based processing to achieve low-latency, energy-efficient, and accurate AI inference on resource-constrained edge systems. Mathematical Modeling of Subsurface Fluid-Solid Interactions: From Minimal Models to Complex Dynamics Maryam Alghannam, Ibn Rushd Assistant Professor, Earth Systems Science and Engineering Nov 12, 12:00 - 13:00 B9 R2325 computational models fluid dynamics computational fluid dynamics In this talk, I will show how relatively simple mathematical models can be used to isolate the physical mechanisms governing behaviors of fluid-solid interactions.
