Research Fellow Haoran Jin, Zhejiang University, China
Jin Haoran, ZJU100 scientist, doctoral supervisor. He is also a member of the State Key Laboratory of Fluid Power and Mechatronic Systems. His main research areas include robot ultrasonic non-destructive testing, underwater robot intelligent maintenance, and biomedical photoacoustic and ultrasound imaging. He has published over 60 articles, with nearly 30 articles as first author/ corresponding author in top-tier prestigious journals such as Nature Communications，IEEE TMI, IEEE TIE, and MSSP. He has served as a reviewer and guest editor for well-known journals in the field on a long-term basis. His proposed ultra-fast 3D full-focus ultrasound imaging technology can achieve high-precision 3D imaging at a rate of 300 frames per second, attracting widespread attention from peers both domestically and internationally. He has also been involved in the autonomous development of a number of internationally advanced equipment, such as underwater intelligent ultrasonic detection systems, PAUT weld automatic inspection systems, and automated rotating ultrasound flaw detection systems. Currently, he is leading several projects, including the National Natural Science Foundation project and the Zhejiang Provincial Natural Science Foundation key project, focusing on the research of robot intelligent maintenance in energy pipelines and underwater facilities.
金浩然，浙江大学研究员、博导，国家级青年人才计划获得者, 流体动力与机电系统国家重点实验室成员。主要从事机器人超声无损检测、水下机器人智能运维、生物医学光声超声成像，已经发表文章60余篇，以第一作者/通讯作者在顶级权威期刊Nature Communications、IEEE TMI、IEEE TIE、MSSP等上发表近30篇文章，长期担任领域内知名期刊审稿人和客座编辑。所提出的超快三维全聚焦超声成像技术可实现每秒百帧的高精度三维成像，得到国内外同行的广泛关注，参与水下智能超声检测系统，PAUT焊缝自动检测系统，自动化旋转超声探伤系统等一批国际先进设备的自主研发，现主持国家自然科学基金面上项目、浙江省自然科学基金重点项目等多项项目，面向能源管道、水下设施等开展机器人智能运维研究。