Junbao Hu, Ph.D.

Associate Professor

Department of Optoelectronic Engineering

School of Microelectronics & Data Science

Anhui University of Technology

Research Interests

Orbital Angular Momentum Light Field Manipulation (Generation, Detection, and Applications of Vortex Beams)

Computational Optical Imaging and Detection (Interferometric/Non-Interferometric Methods, Imaging Through Scattering Media)

Optical Image and Information Processing (Image Encryption, Image Recognition, Image Enhancement)

Teaching Courses

Optoelectronic Image Processing; Computer Vision; Freshman Seminar; Introduction to Major

Optoelectronic Detection Technology Laboratory; University Physics Laboratory

Grants

2026.01-2028.12, AI-empowered multi-channel high-capacity orbital angular momentum optical communication and multi-level encrypted secure transmission research, National Natural Science Foundation of China (Youth Project), 62505002; (leading)

2024.09-2026.08, Design and implementation of high-performance orbital angular momentum optical communication systems, Key Natural Science Research Project of Higher Education Institutions in Anhui Province, 2024AH050168; (leading)

2023.07-2026.06, Research on orbital angular momentum beam mode recognition detection and optical communication applications, Anhui University of Technology Talent Project, QD202306; (leading)

2022.01-2025.12, Research on all fiber photon orbital angular momentum routing detection device, National Science Foundation of China, 62175162 (participating).

Selected Publications

[1] “High-robustness underwater vortex beam recognition using conjugate superimposed OAM modes and a deep residual network.” Optics Express, 2026, 34(8), 14650–14661.

[2] “Exploiting deep network with adaptive learning rate framework to recognize scattering vortex beam OAM mode.” Optics & Laser Technology, 2026, 197: 114852.

[3] “Robust detection of conjugate vortex beams in atmospheric turbulence via cascaded image processing.” Optics and Lasers in Engineering, 2026, 196: 109426.

[4] “OAM optical fiber transmission with reduced bit error rate based on turbo code encoding/decoding and deep learning demodulation.” Optics and Lasers in Engineering, 2025, 193: 109061.

[5] “Dynamically scattering medium-based security-enhanced optical image encryption using orbital angular momentum and deep learning.” Results in Physics, 2025, 69: 108100.

[6] “Metasurface-enabled on-chip manipulation for light focusing and modes recognition.” Optics Communications, 2025, 591: 132033.

[7] “Multi-image transmission based on a multi-channel OAM-array-coded optical communication system using a designed Dammann grating and an integrated vortex grating.” Optics Letters, 2024, 49(23): 6773–6776.

[8] “Ultra-security optical image encryption using speckles through a multi-mode fiber.” Applied Physics Letters, 2024, 125(20): 201102.

[9] “Deep-learning enabled simultaneous detection of phase and polarization singularities of CVVBs and its application to image transmission.” Optics & Laser Technology, 2024, 168: 109890.