TIGP (SNHCC) --AI for 6G and What is the PhD?
- 講者周伯衡 博士 (美國維吉尼亞理工大學 (華盛頓DC校區))
邀請人：TIGP (SNHCC) - 時間2026-02-23 (Mon.) 10:00 ~ 12:00
- 地點Google Meet
線上串流
摘要
Future 6G networks will operate in high-dimensional, dynamic, and hardware-constrained environments where conventional optimization and short-sighted reinforcement learning are no longer sufficient.
This talk presents AI-native wireless designs spanning both physical-layer intelligence and network-level reasoning. At the signal level, deep learning replaces iterative optimization and explicit channel estimation to enable scalable, hardware-aware, and energy-efficient reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) multiple-input multiple-output(MIMO) systems. At the network level, a dual-mind world model (DMWM) integrates pattern-driven learning with logic-driven reasoning to enable long-term planning, data-efficient adaptation, and robust generalization in dynamic wireless environments. Together, these efforts reflect a broader shift from reactive optimization toward predictive, representation-driven intelligence for 6G networks.
Dr. Chou concludes by reflecting on how this evolution in wireless intelligence parallels his Doctor of Philosophy journey. Each transition embodies uncertainty, adaptation, and growth. Just as spectrum harmony requires balance among competing systems, the Ph.D. represents the pursuit of equilibrium within complexity, transforming challenge into clarity.