黄丹，博士，副教授、硕士生导师。长期聚焦于生物医学信号处理与人工智能的深度交叉融合，研究方向贯穿“生理信号采集→噪声抑制与特征提取→智能辅助诊断算法→嵌入式/集成电路级硬件实现”的全链条。主持四川省自然科学基金面上项目等科研课题，作为核心骨干参与国家级/省部级项目多项。在国内外重要学术期刊及会议发表论文20余篇，其中SCI/EI检索10余篇，申请/授权发明专利若干项。主讲本科生核心课程《信号与系统》《数字信号处理》，独立负责院级一流课程《医学信号处理》及双语课程《医学图像处理》的建设与教学改革。教学中强调“数学物理基础—算法推演—代码实现—临床场景验证”四层递进，注重培养学生系统性工程思维。指导本科生获得大学生创新创业大赛奖项，研究生获得中国研究生数学建模竞赛国家级奖项。
研究方向：1. 生物及医学信号的采集、分析与处理；2. 人工智能在生物及医学信号处理中的应用；3. 生物及医学检测仪器的智能故障检测。
代表性论著：
1. Huang, D*., Zhu, T., & Chen, Y. (2026). Temporal attention and its modulation on visual perception. Med-X, 4(1).
2. Huang, D*., Liao, K., Chen, F., & Chen, Y. (2025). The effects of acute alcohol intake on endogenous vs. exogenous attention in visual perception. Addictive behaviors, 171, 108465.
3. Huang, D*., Gao, F., & Chen, Y. (2025). Enhancing visual perception: The independent and additive effects of temporal and feature-based attention. Psychonomic Bulletin & Review, 32(4), 1839–1851.
4. Peng, K., Huang, D*., & Chen, Y. (2025). Retinal OCT image classification based on MGR-GAN. Medical & biological engineering & computing, 63(6), 1749–1763
5. Chen, Y., Peng, K., Huang, D*., & Tang, Q. (2025). Evaluating and Optimizing Conventional Training Circuits for Analog Fault Diagnosis via Transfer Learning. IEEE Transactions on Instrumentation and Measurement.
6. Jing, C., Jin, H., Li, W., Wu, Z., Chen, Y., & Huang, D*. (2023). Temporal attention affects contrast response function by response gain. Frontiers in human neuroscience, 16, 1020260.
7. Huang, D*., Xiong, X., &Chen, Y. (2021). Attention reduces the burstiness of V1 neurons involved in attended target enhancement. European Journal of Neuroscience,54(2):4565-4580
8. Huang, D*., Xue, L., Wang, M., Hu, Q., Bu, X., &Chen, Y. (2018), Feature-based attention elicited by precueing in an orientation discrimination task. Vision Research. 148:15-25
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