The research group focuses on the fundamental physics of Structured Light and its propagation mechanisms in complex environments. Adhering to the principle of "Physics-driven, Application-oriented," our work aims to address the challenges of transmission distortion in extreme physical conditions, such as strong atmospheric turbulence and highly scattering media.
In recent years, the group has strategically expanded into "Optics + AI" interdisciplinary research. By integrating physical models of structured light with deep learning algorithms, we explore robust optical communication, intelligent perception, and machine vision solutions for complex industrial scenarios. Currently, our research findings have been successfully translated into applications within several industrial automation sectors.
Propagation in Complex Media: Investigating the evolution of coherent and partially coherent light fields in non-homogeneous media (turbulence, scattering, and underwater) to construct physical transmission models for extreme environments.
High-Dimensional Light Field Control: Developing novel techniques for the generation and measurement of structured light, with a focus on the physical properties of Orbital Angular Momentum (OAM) in long-range detection and high-dimensional information encoding.
Vision in Extreme Scenarios: Utilizing deep learning frameworks (e.g., YOLO, Transformer) to solve problems related to target feature extraction and robust recognition in industrial environments characterized by high temperatures, smoke, and low contrast.
Edge Algorithm Optimization & Deployment: Developing closed-loop "Perception-Decision-Control" systems and researching lightweight algorithm deployment for embedded and mobile platforms.
Supported by the National Natural Science Foundation of China and other key projects, the group has recently achieved significant progress in structured light topological characterization and environmental adaptation:
| Journal | Impact Factor (IF) | Achievement Summary |
|---|---|---|
| eLight | 32.1 | Comprehensive review on the physical evolution and frontier applications of Optical Skyrmions. |
| Light: Science & Applications | 23.4 | Systematic exposition of precision optical metrology theories based on optical vortices. |
| Photonics Research | 7.2 | Proposed a novel method for high-efficiency characterization of structured light in turbulence using machine learning. |
| Communications Physics | 5.4 | Revealed the underlying physical mechanisms of robustness in deep neural networks for mode recognition. |
| Optics Express (2 papers) | 3.3 | Reported the transmission and evolution laws of structured light fields under multi-source interference. |
Our group provides members with a broad international perspective and high-level research support:
Strategic Collaboration: Maintains long-term academic exchange with the team of Professor Andrew Forbes, a Fellow of the Academy of Science of South Africa and a world-renowned expert in structured light.
Joint Mentorship: Graduate students are co-supervised by myself, Professor Lixin Guo (Dean), and Academician Andrew Forbes. Outstanding students are recommended for short-term visits or joint research at the University of the Witwatersrand, South Africa.
Academic Networking: Funding is provided for students to attend high-level international conferences and integrate into the global structured light research network.
We are dedicated to cultivating multifaceted talents with physical intuition, engineering implementation skills, and international competitiveness:
Full-Cycle Research Training: Establishing a complete training loop ranging from theoretical derivation and numerical simulation (Python/MATLAB) to experimental validation and algorithm deployment (PyTorch).
Research-Led Teaching: Integrating core courses (e.g., Numerical Calculation Methods, Computational Physics) with cutting-edge research to emphasize the practical evolution of fundamental theories.
Proven Success: In recent years, our students have repeatedly been awarded National Scholarships, and several undergraduate innovation projects have been concluded with "Excellent" ratings and national awards.
Capacity: 3–4 Ph.D. and Master’s students per year.
Preferred Backgrounds: Physics, Optoelectronics, Telecommunications, Computer Science, or Automatic Control.
What We Look For:
Intrinsic Motivation: A genuine interest in exploring optical physics and a habit of independent thinking.
Professional Proficiency: A solid foundation in mathematics and physics, or excellent code implementation skills.
Collaborative Spirit: Strong communication skills in both Chinese and English, with a commitment to team academic integrity.
Contact:
Interested candidates are invited to send their CV and representative works to my official email address. I look forward to exploring the physical boundaries and technical applications of structured light with you.
