Primary areas
- Optical engineering and intelligent photonics
- Multimode fiber imaging and encryption
- Orbital angular momentum based information encoding
- Diffractive neural networks and optical computing
- Deep learning for nonlinear photonic systems
Curriculum Vitae
Academic background and research profile
This page presents my academic background, research interests, technical strengths, and selected achievements in optical engineering and intelligent photonics.
Profile
Research summary
Research style
- Physics-aware modeling grounded in optical propagation
- Combination of experiment, simulation, and machine learning
- Focus on robustness under environmental noise and perturbation
- Interest in secure optical communication and all-optical inference
Education
Academic training
Optical Engineering
Nanjing University of Posts and Telecommunications
Optoelectronic Information Science and Engineering
Nanjing University of Posts and Telecommunications
Experience
Technical strengths
Optical systems
Familiar with spatial optical path construction, SLM-based phase modulation, and experiment optimization across hardware and software.
Computation
Uses Python and MATLAB for simulation, data processing, optical modeling, and machine learning workflows.
Model design
Develops deep learning models for optical systems, including D2NN design, training, and customized optimization.
Recognition
Selected honors and awards
Scholarships and honors
- National Scholarship, 2025
- Outstanding Graduate Student, 2025
- First-class academic scholarship, 2025
- Second-class academic scholarships, 2023 and 2024
Competitions and public achievements
- Provincial third prize, Internet Plus Innovation Competition, 2024
- University-level second prize, CPIPC Electronic Design Competition, 2024
- Three first-author journal publications in 2025
- English proficiency: IELTS 6.5 and CET-6
Links