| Proj No. | A1138-251 |
| Title | AI-Driven Topological Structured Light for Advanced Optical Communication |
| Summary | This research proposal explores the integration of artificial intelligence with topologically structured light for advancing optical communication systems. By leveraging orbital angular momentum (OAM) beams and other complex topological light structures, we aim to develop high-capacity, robust optical communication channels with enhanced information density. The project focuses on AI-driven optimization and control of spatial light modulators (SLMs) to generate, manipulate, and detect diverse topological light modes for multiplexing applications. This interdisciplinary approach promises to address current bandwidth limitations in optical communications while offering improved resilience against environmental perturbations. Research Objectives 1. Develop AI algorithms for optimized generation of diverse topological light structures using SLMs 2. Create neural network models for real-time prediction and compensation of atmospheric turbulence effects on OAM beams 3. Establish an intelligent multiplexing system leveraging multiple topological degrees of freedom (OAM, polarization, amplitude, phase) 4. Design self-learning receivers for efficient demultiplexing and detection of topologically complex optical signals 5. Demonstrate practical free-space optical communication with enhanced capacity and resilience |
| Supervisor | Ast/P Shen Yijie (Loc:School of Physical and Mathematical Sciences (SPMS), Ext: ?) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Photonics I (Loc: S1-B3a-08) |
| Single/Group: | Single |
| Area: | Intelligent Systems and Control Engineering |
| ISP/RI/SMP/SCP?: |