张烨菲

  张烨菲，浙江诸暨人，工学博士，杭州电子科技大学特聘副教授，硕士生导师，省青托人才。长期从事人工智能技术在信息安全与医疗健康等领域的研究与应用，具体包括：生物特征识别、医疗辅助诊断、医学信号处理等方向的深度学习、多模态学习、数据建模与挖掘等研究，属当前医学人工智能的学术前沿。

  作为项目负责人主持国家自然科学基金青年基金项目 1项、浙江省自然科学基金青年基金项目 1项；入选浙江省科协青年人才托举工程；作为科研骨干参与国家自然科学基金委项目、浙江省自然科学基金委项目、浙江省重点研发计划等多项课题。累计在国内外权威学术期刊和会议发表SCI/EI论文20余篇，其中以第一作者和通讯作者身份发表SCI论文10余篇，包含IEEE Journal of Biomedical and Health Informatics等SCI一区和Top期刊论文多篇；申请/授权中国发明专利10余项；在学科竞赛中获省级及以上奖项10余项，包括中国研究生电子设计竞赛全国一等奖 1项、中国数学建模竞赛全国二等奖 2项、美国大学生数学建模竞赛（MCM/ICM）国际二等奖1项，以及浙江省、华东赛区等省级奖项 9项。指导研究生参加2023年度华为杯中国研究生网络安全创新大赛，获全国三等奖；指导学生参加2024/2025年度中国研究生电子设计竞赛，获华东赛区一等奖1项、二等奖1项、省级优秀指导老师1项。

2023.04 -- 至今  杭州电子科技大学网络空间安全学院 特聘副教授

国际学术期刊/会议审稿人（Reviewer）

IEEE Journal of Biomedical and Health Informatics (JBHI)

IEEE Internet of Things Journal (IoT)

Engineering Applications of Artificial Intelligence (EAAI)

Artificial Intelligence In Medicine (AIIM)

Computer Methods and Programs in Biomedicine (CMPB)

Computers in Biology and Medicine (CIBM)

Biomedical Signal Processing and Control (BSPC)

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

国际会议程序委员会委员 (PC member)

IEEE International Conference on Bioinformatics and Biomedicine 2025 (BIBM 2025) 

IEEE International Conference on Bioinformatics and Biomedicine 2024 (BIBM 2024) 

具体论文成果详见个人科研主页：

Google Scholar: https://scholar.google.com/citations?user=Qsh0JKkAAAAJ&hl=zh-CN&oi=ao

代表性期刊

1. Zhou Z, Zhao Z, Zhang Y, et al. Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation[J]. IEEE Transactions on Consumer Electronics, 2024.

2. Zhao Z, Zhu J, Jiao P, Wang J, Zhang X, Lu X, Zhang Y. Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis[J]. BMC Medical Informatics and Decision Making, 2024

3. Zhang Y, Deng yanjun, et al. DT-CTNet: A clinically interpretable diagnosis model for fetal distress [J]. Biomedical Signal Processing and Control, 2023.

4. Deng Y, Zhang Y, et al.A lightweight fetal distress-assisted diagnosis model based on a cross-channel interactive attention mechanism[J]. Frontiers in Physiology, 2023.

5. Zhang Y, et al. Reconstruction of missing samples in antepartum and intrapartum FHR measurements via mini-batch-based minimized sparse dictionary learning [J]. IEEE Journal of Biomedical and Health Informatics, 2022.

6. Zhang Y, et al. FHRGAN: Generative Adversarial Networks for Synthetic Fetal Heart Rate Signal Generation in Low-Resource Settings [J]. Information Sciences, 2022.

7. Zhang Y, et al. Multimodal Learning for Fetal Distress Diagnosis using a Multimodal Medical Information Fusion Framework[J]. Frontiers in Physiology, 2022.

8. Zhang Y, et al. Human Identification Driven by Deep CNN and Transfer Learning Based on Multiview Feature representations of ECG [J]. Biomedical Signal Processing and Control, 2021.

9. Zhang Y, et al. ECGID: A human identification method based on adaptive particle swarm optimization and the bidirectional LSTM model [J]. Frontiers of Information Technology & Electronic Engineering, 2021.

10. Zhang Y, et al. Heart biometrics based on ECG signal by sparse coding and bidirectional long short-term memory [J]. Multimedia Tools and Applications, 2020.

11. Zhao Z, Deng Y, Zhang Y, Zhang Y, Zhang X, Shao L. DeepFHR: Intelligent Prediction of Fetal Acidemia using Fetal Heart Rate Signals based on Convolutional Neural Network. BMC Medical Informatics and Decision Making, 2020.

12. Zhao Z, Zhang Y*, et al. ECG Authentication System Design Incorporating a Convolutional Neural Network and Generalized S-Transformation [J]. Computers in Biology and Medicine, 2018.

13. Zhao Z, Zhang Y*, et al. SQI Quality Evaluation Mechanism of Single-Lead ECG Signal Based on Simple Heuristic Fusion and Fuzzy Comprehensive Evaluation[J]. Frontiers in Physiology, 2018.

14. Zhao Z, Tong H, Deng Y, Xu W, Zhang Y, Ye, H. Single-Lead Fetal ECG Extraction Based on a Parallel Marginalized Particle Filter[J]. Sensors, 2017.