Team

Research Direction：Fiber Channel Modeling and Link Optimization
Master candidates are currently studying (2023——)

Research Direction：
Master candidates are currently studying (2024——)

Research Direction：
Master candidates are currently studying (2023——)

Research Direction：optical access
Master candidates are currently studying (2023——)

Research Direction：
Master candidates are currently studying (2023——)

Research Direction：My research integrates Deep Reinforcement Learning (DRL) with the LOCSET technique to advance Coherent Beam Combining (CBC) systems. I developed an Adaptive Phase-Locking (APL) strategy that employs intelligent agents for automated phase synchronization and real-time parameter optimization, significantly enhancing phase-locking speed and resilience against external disturbances.
Master candidates are currently studying (2023——)

Research Direction：Intelligent Optical Access
Master candidates are currently studying (2024——)

Research Direction：The main research focus is optical fiber communication channel modeling
Master candidates are currently studying (2024——)

Research Direction：
Master candidates are currently studying (2024——)

Research Direction：Developing domain-specific large language models for optics, and integrating them into optical science and engineering.
Master candidates are currently studying (2025——)