Content available in repository
Content available in repository
Personal profile
Research profile
I research Phase Retrieval problems in the context of Fourier optics. I also research on inverse problems in general. I am also interested in data-driven equation discovery and solution identification.
Applications I work on are high-power laser beam shaping and wavefront sensing/correction for metal-powder additive manufacturing (PBF-LB/M), digital holography (CGH), near-field X-ray imaging, and other Coherent Diffractive Imaging (CDI) systems.
Methodologies I develop are analytical methods, Physics-Informed Neural Networks (PINNs), alternating projection methods, gradient-based methods, Newton-Raphson methods, active learning, Neural Symbolic AI, and LLMs.
Education/Academic qualification
Artificial intelligence, expert systems, Master, Computer Vision and Deep Learning, Wuhan University
5 Sept 2020 → 5 Jul 2022
Award Date: 5 Jul 2022
Language and literature, Bachelor, English Language and Literature, Chongqing University
5 Sept 2016 → 5 Jul 2020
Award Date: 5 Jul 2020
Art and architecture, Certificate/Diploma of Higher Education , Architecture and Urban Planning, Chongqing University
5 Sept 2014 → 5 Jul 2016
Award Date: 5 Jul 2016
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Efficient Gerchberg–Saxton algorithm deep unrolling for phase retrieval with a complex forward path
Yan, S. (Corresponding author), Holenderski, M. J. & Meratnia, N., Mar 2026, In: Advanced Photonics Nexus. 5, 2, 27 p., 026005.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Simulation-Driven Differentiable Active Learning (SDDAL) framework for enhancing laser phase aberration estimation deep learning model's training data efficiency
Yan, S., Holenderski, M. J. & Meratnia, N., 7 Jul 2026Research output: Non-textual form › Software › Academic
Open Access -
Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids
Yan, S., Vazinram, F., Kaseb, Z., Spoor, L., Stiasny, J., Mamudi, B., Ardakani, A. H., Orji, U., Vergara, P. P., Xiang, Y. & Guo, J., 15 Apr 2025, arXiv.org, 7 p.Research output: Working paper › Preprint › Academic
Open AccessFile -
Deep learning based phase retrieval with complex beam shapes for beam shape correction
Yan, S. (Corresponding author), Off, R., Yayak, A., Wudy, K., Aghajani-Talesh, A., Birg, M., Grünewald, J., Holenderski, M. J. & Meratnia, N., 10 Mar 2025, In: Optics Express. 33, 5, p. 10806-10834 29 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)409 Downloads (Pure) -
Simulation, deep learning, and simulation-assisted analysis of aberration detection and beam shape correction accuracies for PBF-LB/M systems
Yan, S., Off, R. (Developer), Yayak, A. (Developer), Wudy, K. (Developer), Aghajani-Talesh, A. (Developer), Birg, M. (Developer), Grünewald, J. (Developer), Holenderski, M. J. & Meratnia, N., 21 Oct 2025Research output: Non-textual form › Software › Academic
Open Access
Datasets
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Processed InShaPe dataset: large-scale multi-shape phase retrieval dataset for PBF-LB/M laser beam shaping SLM phase mask estimation
Yan, S. (Creator), Holenderski, M. J. (Supervisor) & Meratnia, N. (Supervisor), SPIE, 3 Oct 2025
DOI: 10.6084/m9.figshare.30131893.v4
Dataset
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Large-scale multi-beamshape phase retrieval dataset based on Zernike coefficients for PBF-LB/M systems
Yan, S. (Creator), Off, R. (Contributor), Yayak, A. (Contributor), Wudy, K. (Contributor), Aghajani-Talesh, A. (Contributor), Birg, M. (Contributor), Grünewald, J. (Contributor), Holenderski, M. J. (Contributor) & Meratnia, N. (Creator), Optica Publishing Group, 21 Oct 2025
DOI: 10.6084/m9.figshare.27650703.v2, https://opticapublishing.figshare.com/articles/dataset/Large-scale_multi-beamshape_phase_retrieval_dataset_based_on_Zernike_coefficients_for_PBF-LB_M_systems/27650703/1
Dataset
Activities
- 1 Conference
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ICT OPEN 2025
Yan, S. (Participant)
15 Apr 2025 → 16 Apr 2025Activity: Participating in or organising an event types › Conference › Scientific