Undergraduate engineering notebook

Projects, experiments, and questions I am trying to understand.

I am a final-year BEng student in Microelectronic Science and Engineering at Xi'an Jiaotong-Liverpool University and the University of Liverpool (dual degree, Sep 2023 – Jul 2027). I hold First Class averages in Years 1–2 and rank 9/91 in the programme cohort (top 10%). My interests include AI infrastructure, hardware/software co-design, high-performance computing, embedded systems and biomedical sensing front ends. This site collects my projects, research and technical notes.

Publications

  1. Z. Zhao et al., “PAD-Former: A Two-Stage PI-RADS Classification Framework with Multi-Modal Anomaly Diffusion and Cross-Attention,” IEEE BIBM 2025.
  2. Z. Zhao et al., “ReFER: Learned Soft-Region Priors for Clinically Significant Prostate Cancer Detection and Diagnosis in Biparametric MRI,” IEEE BIBM 2026.

Leadership and outreach

Current interests

Systems · Developer Tools · AI Agents · Engineering Software · CAE · Scientific Computing · Embedded · Medical AI

Latest writing

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  1. 微电子学习工具笔记

    课程工具、操作说明、官方配图与RC练习。

  2. A result object is not an evaluated result

    Why automated ANSYS Mechanical work needs separate geometry, setup, solver-input, solved, evaluated, and credibility gates.

  3. Separating DNS failure from slow CDN delivery

    A redacted remote-development download investigation that isolates resolver, redirect, edge-selection, and throughput stages.

  4. Separating measured cough-model runs from the experiment plan

    A subject-disjoint Coswara pipeline, compact teacher–student baselines, and the evidence boundary before any clinical or SOTA claim.

  5. What the HarmonyOS prototype could and could not verify

    ArkTS UI, browser OAuth and deep links, native Mihomo libraries, VPN Extension limits, and repository-level evidence.

About

I use coding agents during development and keep each project's problem definition, architecture, experiments and validation open to inspection. My current work spans AI infrastructure, hardware/software co-design, high-performance computing, embedded systems, biomedical sensing front ends, connectome-driven robotics and medical imaging AI.

Email · GitHub · CV (PDF)