Zhao Qi. Research: wavefront shaping, speckle imaging, computational imaging, and deep learning
Self introduction
A final-year Ph.D. student in Department of Biomedical Engineering, The Hong Kong Polytechnic University, expecting to graduate in August 2024.
Scientific research experiences in computational imaging and deep learning models for overcoming optical speckles in biological tissues and retrieving images from speckles, under the supervision of Dr. Puxiang Lai (Associate Professor, ORCID: 0000-0003-4811-2012).
Research papers mainly include the speckle-based cryptosystem for face recognition via deep learning (Advanced Science 2022, IF = 15.1), the parameter-free algorithm for iterative wavefront shaping (Optics Letters 2021, IF = 3.6), optical imaging through spatiotemporally decorrelated speckles via a generative adversarial network (In process), and delocalized information in optical speckles via deep learning-based study (In preparation).
Biography
PolyU (Doctor of Philosophy) 09/2020 – 08/2024
The Hong Kong Polytechnic University —— Department of Biomedical Engineering
Major: Biomedical Engineering
THU (Master of Science) 09/2017 – 08/2020
Tsinghua University —— Tsinghua-Berkeley Shenzhen Institute
Major: Data Science and Information Technology
NWPU (Bachelor of Engineering) 09/2013 – 06/2017
Northwestern Polytechnical University —— Honors College & School of Electronics and Information
Major: Electronic Information Engineering
Publications
Deep-Tissue Optics: Technological Development and Applications
Chinese Journal of Lasers 2024 (IF = 2.57) DOI: 10.3788/CJL231318
Learning-based super-resolution interpolation for sub-Nyquist sampled laser speckles
Photonics Research 2023 (IF = 7.3) DOI: 10.1364/PRJ.472512
Speckle-Based Optical Cryptosystem and its Application for Human Face Recognition via Deep Learning
Advanced Science 2022 (IF = 15.1) DOI: 10.1002/advs.202202407
Wavefront shaping: A versatile tool to conquer multiple scattering in multidisciplinary fields
The Innovation 2022 (IF = 23.6) DOI: 10.1016/j.xinn.2022.100292
Long-distance pattern projection through an unfixed multimode fiber with natural evolution strategy-based wavefront shaping
Optics Express 2022 (IF = 3.8) DOI: 10.1364/OE.462275
Accelerating deep learning with high energy efficiency: From microchip to physical systems
The Innovation 2022 (IF = 23.6) DOI: 10.1016/j.xinn.2022.100252
Optimal efficiency of focusing diffused light through scattering media with iterative wavefront shaping
APL Photonics 2022 (IF = 5.6) DOI: 10.1063/5.0085943
Dynamic mutation enhanced particle swarm optimization for optical wavefront shaping
Optics Express 2022 (IF = 3.8) DOI: 10.1364/OE.425615
Parameter-free optimization algorithm for iterative wavefront shaping
Optics Letters 2021 (IF = 3.6) DOI: 10.1364/OL.427215
Conferences
Speckle-based Optical Cryptosystem for Face Recognition
SPIE Photonics West 2023 (San Francisco, USA) DOI: 10.1117/12.2645932
Integration of genetic and bat algorithms towards a parameter-free optimization scheme in iterative wavefront shaping
SPIE Photonics Asia 2021 (Online, China) DOI: 10.1117/12.2601210
Flexible humidity sensor based on electrochemically polymerized polypyrrole
IEEE Sensors 2019 (Montreal, Canada) DOI: 10.1109/SENSORS43011.2019.8956740
Internship
OPPO Shenzhen (07/2018 - 08/2018, Intern engineer)
OPPO is a renowned Chinese consumer electronics manufacturer based in Guangdong, and has a reputation for producing Android smart phones that appeal to users all over the world.
Literature research on deep learning-based image recognition and segmentation algorithms (including R-CNN, Fast R-CNN, and PoseNet) and proposing innovative implementations for improving photography apps in Color OS for OPPO phones.