This National Science Foundation (NSF) award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $599,943 to Virginia Polytechnic Institute & State University (Virginia Tech) to advance the concept of local 6G connectivity. The project focuses on developing a novel neural network-based method for wireless channel representation to enable controllable, resilient, and secure local 6G networks that leverage reflective intelligent surface technology. Key research thrusts include: 1) creating a neural process-based approach to track, predict, and control the wireless channel; 2) analyzing reliability and resiliency of local 6G systems with reflective surfaces and neural channel models; and 3) identifying security vulnerabilities and proposing a geofencing-based security mechanism. The project aims to contribute to pre-standardization activities for 6G between the U.S. and Europe, advance workforce development, and broadly disseminate research findings. No sub-awards are planned under this grant, which runs from January 1, 2024 to December 31, 2026.