Yuwei Zheng (Yves)

Yuwei Zheng (Yves)

Research Assistant, University of Science and Technology of China

🔬 Research Projects

1. Programmable Laser-Induced Ultrasound Design and Simulation via k-Wave <div style="display: flex; justify-content: space-between; font-style: italic;"> <div>Principal Investigator, Ongoing</div> <div>July 2025 – Present</div> </div> - Designed spatially patterned optical absorbers capable of generating laser-induced ultrasound fields with tunable directionality and amplitude under pulsed laser excitation - Applied phased-array principles by encoding spatial phase delays through absorber geometry, enabling programmable beam steering and dynamic acoustic focusing - Built a k-Wave simulation framework to model ultrasound propagation and evaluate focusing performance in water and heterogeneous tissue-mimicking media - Analyzing resolution and energy distribution across different pattern configurations to inform the practical design of flexible acoustic focusing patches

  1. Dual-modality Photoacoustic-Ultrasound Imaging Using Laser-Induced Ultrasound from Black Tape
    Principal Investigator, Published in Optics Letters
    July 2024 – June 2025
    • Designed a plug-and-play opto-acoustic window enabling coaxial photoacoustic and ultrasound imaging triggered by a single laser pulse
    • Streamlined fabrication process using black PVC tape for high reproducibility and low cost
    • Validated signal stability and dual-modality imaging performance through extensive phantom experiments and in vivo finger imaging studies
  2. Noninvasive Intracranial Pressure Monitoring via Transcranial Photoacoustic Imaging
    Co-Investigator, Completed Project
    Sept. 2024 – Dec. 2024
    • Developed a photoacoustic imaging platform integrating a tunable NIR laser, linear-array ultrasound probe, high-speed DAQ, and a stabilized transcranial probe mount
    • Conducted in vivo transcranial photoacoustic imaging experiments on human volunteers, synchronized with invasive ICP monitoring for ground-truth validation
    • Reconstructed vascular structures using delay-and-sum beamforming and geometric correction; implemented multi-wavelength spectral unmixing for quantitative $\mathrm{HbO}_2/\mathrm{HbR}$ mapping
    • Developed a linear regression model correlating photoacoustic-derived $\mathrm{sO}_2$ with measured ICP, demonstrating a strong inverse relationship
  3. 3D Digital Eye Phantom for Functional Photoacoustic Imaging and $\mathrm{sO}_2$ Quantification
    Co-author, Under Review
    Sept. 2024 – Mar. 2025
    • Performed pixel-wise quantification of retinal $\mathrm{sO}_2$ using linear spectral unmixing
  4. Self-developed DAQ Debugging and Photoacoustic Data Acquisition
    Principal Investigator, Completed and in active use
    Sept. 2023 – June 2024
    • Debugged hardware and software of a self-developed DAQ card to resolve signal acquisition issues
    • Integrated the DAQ card into the imaging system and conducted phantom and in vivo experiments
    • Verified signal stability and imaging quality for real-time photoacoustic acquisition

📃 Course Projects

  1. Mini Review: Algorithms for Photonic Spiking Neural Networks[PDF]
    Course-based Research Project under Prof. Cheng Wang, Course: Optical Computing and Optical Neural Networks
    Sept. 2024 – Mar. 2025
    • Reviewed major biological and photonic neuron models (e.g., LIF model, VCSEL-SA lasers), focusing on their suitability for neuromorphic computation
    • Investigated encoding strategies (frequency/time coding) and photonic learning rules, particularly optical implementations of STDP using SOA and EAM
    • Evaluated the feasibility and limitations of existing optical SNN algorithms in all-optical computing contexts and suggested improvements for spike-based supervised learning
  2. Speckle Imaging through Scattering Layers[PDF]
    Primary contributor, Course: Biomedical Photonics and Imaging
    Sept. 2024 – Mar. 2025
    • Reproduced and analyzed modern speckle imaging techniques using memory-effect-based reconstruction for non-invasive optical imaging
    • Evaluated and extended methods for high-resolution, wide-FoV imaging, validating their performance in dynamic and complex scattering environments