焦影影

教育背景

2011.09-2017.06   上海交通大学 计算机科学与技术 工学博士

2014.10-2015.03    西班牙巴斯克大学  计算机科学与人工智能  项目交流

2008. 09-2011.06  安徽大学 计算机应用技术  工学硕士

工作履历

2020.11-至今   常州大学 计算机系 讲师

主要研究领域：

脑-机接口(驾驶员睡意检测)；生物医学信号处理；深度学习

科研成果

论文：

1. Jiao Y, Jiang F. Detecting slow eye movements with bimodal-LSTM for recognizing drivers’ sleep onset period [J]. Biomedical Signal Processing and Control, 2022, 75: 103608.

2. Jiao Y, Lu B L. Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks[J]. Neurocomputing, 2020, 408: 100-111.

3. Deng Y, Jiao Y, Lu B L. Driver Sleepiness Detection Using LSTM Neural Network. International Conference on Neural Information Processing (ICONIP). 2018:622-633. (EI)

4. Jiao Y, Lu B L. Detecting driver sleepiness from EEG alpha wave during daytime driving. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2017: 728-731. (EI)

5. Jiao Y, Lu B L. An alpha wave pattern from attenuation to disappearance for predicting the entry into sleep during simulated driving.  International IEEE/EMBS Conference on Neural Engineering(EMBC/NER)，2017. (EI)

6. Jiao Y, Lu B L. Detecting slow eye movement for recognizing driver's sleep onset period with EEG features. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2016: 4658-4661. (EI)

7. Jiao Y, Peng Y, Lu B L, et al. Recognizing slow eye movement for driver fatigue detection with machine learning approach. IEEE International Joint Conference on Neural Networks (IJCNN). 2014: 4035-4041. (EI)

8. Lichen Shi, Jiao Y, and Lu B L. Differential entropy feature for EEG-based vigilance estimation. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2016: 4658-4661. (EI)

研究项目

1.2021江苏省“双创博士”项目，JSSCBS20210879。

2.国家自然科学基金青年科学基金，基于脑电和眼电信号的驾驶员瞌睡生理指标和检测方法研究。2023.01-2026.01, 主持。