Gender: Male
Title: Associate Professor
Education: Doctoral student
Discipline: Optical Engineering
Research interests: 3D LiDAR scene perception and Reconstruction, Laser coherence Detection and Imaging, target detection and recognition
E-mail: ocean@bit.edu.cn Office phone: 010-68918861
Zhang Haiyang, male, born in Tangshan, Hebei Province in March 1981, associate professor, hired as a doctoral supervisor in 2019. For a long time, he has been engaged in the research of new lasers, laser detection and imaging, as well as the intersection of laser radar and microwave radar, developing new laser detection and imaging systems, and using this as a means to solve technical problems such as space target recognition, three-dimensional scene perception and digital twin modeling, "low slow and small" target early warning imaging, and underwater detection imaging. Presided over and participated in more than 20 provincial and ministerial level projects, including the key research and development plan of the Ministry of Science and Technology, the Natural Science Foundation, the 12/13/145th GF pre-research project, and the Military Science and Technology Commission 173 project. He has published more than 60 papers in international and domestic journals, of which more than 20 are included in SCI. 15 inventions /GF patents have been declared, 10 of which have been authorized. He taught courses such as "Digital Signal Processing", "Electrodynamics", "Scientific Calculation Method", "Photoelectric information detection Technology" and so on. Undertook 1 teaching research and reform project. There are 4 doctoral students, 6 master students, and 1 postdoc at the station. As the sole author and the second author, he wrote two textbooks, "Image Transmission Optical Network Course" and "Laser Principle and Technology Experiment". Led the team to participate in national and Beijing level college student competitions for many times, including "National College Students Photoelectric Design Competition", "Internet + Innovation and Entrepreneurship Competition", "Challenge Cup National College Students Extracurricular academic science and technology works Competition" and other competitions, won 1 national first prize, 1 national second prize, 1 national third prize, 1 Beijing special prize, 2 Beijing second prize. Editor of Applied Optics, OSA Member of the Optical Society of America. "Optics and Laser Technology", "Applied Optics", "China Laser" and other important domestic and foreign journal reviewer.

Zhang Haiyang, male, born in Tangshan, Hebei Province in March 1981, associate professor, hired as a doctoral supervisor in 2019. For a long time, he has been engaged in the research of new lasers, laser detection and imaging, as well as the intersection of laser radar and microwave radar, developing new laser detection and imaging systems, and using this as a means to solve technical problems such as space target recognition, three-dimensional scene perception and digital twin modeling, "low slow and small" target early warning imaging, and underwater detection imaging. Presided over and participated in more than 20 provincial and ministerial level projects, including the key research and development plan of the Ministry of Science and Technology, the Natural Science Foundation, the 12/13/145th GF pre-research project, and the Military Science and Technology Commission 173 project. He has published more than 60 papers in international and domestic journals, of which more than 20 are included in SCI. 15 inventions /GF patents have been declared, 10 of which have been authorized. He taught courses such as "Digital Signal Processing", "Electrodynamics", "Scientific Calculation Method", "Photoelectric information detection Technology" and so on. Undertook 1 teaching research and reform project. There are 4 doctoral students, 6 master students, and 1 postdoc at the station. As the sole author and the second author, he wrote two textbooks, "Image Transmission Optical Network Course" and "Laser Principle and Technology Experiment". Led the team to participate in national and Beijing level college student competitions for many times, including "National College Students Photoelectric Design Competition", "Internet + Innovation and Entrepreneurship Competition", "Challenge Cup National College Students Extracurricular academic science and technology works Competition" and other competitions, won 1 national first prize, 1 national second prize, 1 national third prize, 1 Beijing special prize, 2 Beijing second prize. Editor of Applied Optics, OSA Member of the Optical Society of America. "Optics and Laser Technology", "Applied Optics", "China Laser" and other important domestic and foreign journal reviewer.

1. 3D LiDAR scene perception and reconstruction;
Aiming at the needs of rapid three-dimensional scene perception at the mapping level, carry out research on high-precision integration and calibration of on-board/on-vehicle laser LD system, high-speed processing of massive point cloud data, multi-platform/multi-source/multi-dimensional data fusion and scene reconstruction, high-precision multi-dimensional information perception of scene, target feature extraction and recognition based on multi-source data, etc. It provides technical support for the information extraction and reconstruction of the Winter Olympic track, the rapid generation of high-precision three-dimensional maps and the marking of specific targets, digital twin, land survey, power line patrol and other fields.
2. Laser coherent detection and imaging;
Research on the intersection of LiDAR and microwave radar is carried out to break through many technical difficulties, such as external cavity non-resonant frequency comb modulation technology, optical domain wideband frequency and time domain modulation based on microwave photonics theory, external cavity dual-frequency pulse laser frequency doubling, fractional order optical time-frequency mapping, dual-frequency laser weak signal extraction, etc. A laser double/multi-pulse coherent imaging system and a micro-Doppler detection method based on this system are proposed. It lays a theoretical and experimental foundation for space target recognition, underwater detection imaging, precision guidance, biometric recognition, ultra-wideband real-time signal processing and other applications.
3. Target detection and identification;
By deeply integrating LiDAR 3D point cloud imaging with traditional 2D passive intensity image data, and based on machine learning algorithm and embedded parallel high-speed computing architecture, real-time detection and identification of intelligent observation and shooting integrated system on non-REN aircraft and vehicle platforms, recognition and tracking of low and slow small targets on ground-based platforms, and threat target detection on handheld platforms are realized.

2000.9-2004.7, Beijing Institute of Technology, Electronic Information Engineering, B.S.
2004.9-2009.3, Beijing Institute of Technology, Electronic Science and Technology, Ph.D.;

2009.3- now, Teacher, School of Optoelectronics, Beijing Institute of Technology;
2014.10-2015.10, Institute of Optoelectronics, University of Rennes, France, Visiting scholar;