I am a PhD candidate in the Department of Electrical Engineering at Caltech, supervised by Prof. Changhuei Yang. My current research interests include: (a) Computational microscopy with model-based methods;
(b) Physics-based neural network for microscopic image reconstruction;
(c) Vision-based learning-assisted methods with imaging system co-designs for digital pathology.
News
03/06/2024 - The new paper "AI-guided histopathology predicts brain metastasis in lung cancer patients" has been featured on the Caltech homepage. News
03/04/2024 - My new paper on "AI-guided histopathology predicts brain metastasis in lung cancer patients" is online today. Check my publication list here !
02/14/2024 - I passed by candidacy exam!
11/21/2023 - My personal homepage is online!
06/30/2021 - I joined Caltech Biophotonics Lab!
Selected Publications
Full publication list here
Haowen Zhou*, Brandon Y. Feng*, Haiyun Guo, Siyu Lin, Mingshu Liang, Christopher A. Metzler, Changhuei Yang
Optica, 2023 (BibTex) [Project Page] {Data}
Fourier ptychographic microscope images the biological samples with high-resolution and large field-of-view simultaneously. However, this microscope faces challenges with long image stack reconstruction time and huge data volumes. We designed physics-based neural signal representations to tackle these challenges and showed potential in facilitating remote diagnosis, digital pathology, and efficient clinical data packaging.
Teaching
Caltech EE151 - Electromagnetic Engineering (Head TA for Spring 2024)
Foundations of circuit theory-electric fields, magnetic fields, transmission lines, and Maxwell's equations, with engineering applications.
Caltech EE151 - Electromagnetic Engineering (Head TA for Spring 2023)Foundations of circuit theory-electric fields, magnetic fields, transmission lines, and Maxwell's equations, with engineering applications.