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10月28日学术报告：Advancing Optical Metrology through Computational Imaging Techniques

来源： 发布时间：2024-10-23【字体：大 中 小】

报告人：王昊

会议时间：2024年10月28日 上午10：00

会议地点：清河路390号 溢智厅

报告内容：

Optical metrology, which uses light to precisely measure and characterize objects, is essential in industrial manufacturing, scientific research, and engineering design. Computational optical imaging techniques have leveraged novel optical systems, advanced algorithms, and increased computing power to accurately reconstruct and analyze the physical properties of objects, surpassing the capabilities of traditional optical metrology methods. This talk will explore several advancements in optical metrology through computational imaging techniques. First, I will introduce a novel Fourier Ptychographic Topography (FPT) system that delivers a wide field-of-view, high resolution, and nanoscale accuracy in semiconductor surface topography measurements, outperforming conventional profilometry techniques. Second, by leveraging a multiple-scattering beam propagation model (BPM), I will demonstrate enhanced 3D particle detection from a single hologram, achieving superior accuracy, particularly in dense particle fields and deep imaging scenarios. Finally, I will present the Neural Phase Retrieval (NeuPh) network, which offers flexible object representation and superior phase retrieval performance.

报告人简介：

Dr. Hao Wang’s research focus on computational optical imaging, spanning optics, signal processing, computer vision, and machine learning. He earned his Ph.D. from Boston University in 2024, a Master’s degree from the Shanghai Institute of Optics and Fine Mechanics in 2019, and a Bachelor’s degree from the University of Science and Technology of China in 2016. Dr. Wang has published in journals such as Light, Advanced Photonics, Advanced Photonics Nexus, and Optics Express, with his work cited over 1,600 times. He interned at Meta Reality Labs in 2024, where he developed novel illumination systems for AR glasses. His honors include winning the Student Paper Award at the Optica Imaging Congress in 2023 and being named a Hariri Graduate Student Fellow in 2021.

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