人员

兼职教师

林进灯    教授

电子邮箱:

Chin-Teng.Lin_AT_uts.edu.au

办公室:

研究方向:

计算智能,模糊神经网络(FNN),认知神经工程,脑机接口,多媒体信息处理,机器学习,机器人,智能传感与控制

教育背景

◆ 1989-1992,美国普渡大学电气工程与计算机科学博士

◆ 1988-1989,美国普渡大学电气工程与计算机科学硕士

◆ 1982-1986,台湾国立交通大学,电气工程学士

工作经历

2016/02至今,悉尼科技大学工程与信息技术学院特聘教授

2010/05至今,台湾国立交通大学电气系讲座教授

1997/08-2010/04,台湾国立交通大学电气工程教授

1992/08-1997/07,台湾国立交通大学电气与控制工程系副教授


荣誉与奖项

◆ 2017年获深圳市“鹏城学者”称号

2005年获选为国际电气电子工程协会会士

2011年获美国普渡大学颁发的电气与计算机杰出工程师奖

2013年获选为国际模糊学会会士,并获亚太地区神经网络杰出成就奖

2017年获IEEE计算智能学会授予的IEEE模糊系统先驱奖

2003-2005和2015-2017两次入选IEEE杰出讲师


代表文章

1. K. McDowell, C. T. Lin, K. S. Oie, et al., “Real-World Neuroimaging Technologies,” IEEE Access, vol. 1, pp 131-149, 2013.

2. C. H. Chuang, L. W. Ko, Y. P. Lin, T. P. Jung and C. T. Lin, “Independent Component Ensemble of EEG for Brain-Computer Interface,” IEEE Trans. on Neural Systems and Rehab. Eng., vol. 22, Issue 2, pp. 230-238, March 2014.

3. Y. Y. Lin, N.R. Pal, and C. T. Lin, “An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination,” IEEE Trans. on Neural Networks and Learning Systems, vol. 26, no. 7, pp. 1442-1455, July 2015.

4. C. T. Lin, Y. K. Wang, S. A. Chen, and T. P. Jung, “EEG-Based Attention Tracking during Distracted Driving,” IEEE Trans. on Neural Systems & Rehab. Eng., vol. 23, no. 6, pp.1085-1094, Nov. 2015.

5. Y. H. Yu, S. W. Lu, C. H. Chuang, J. T. King, C. L. Chang, S. A. Chen, and C. T. Lin, “An Inflatable and Wearable Wireless System for Making 32-Channel Electroencephalogram Measurements,” IEEE Trans. on Neural Systems and Rehab. Eng., Vol. 24, No. 7, pp.806-813, July 2016.

6. C. T. Lin, C. H. Chuang, S. Kerick, T. Mullen, T. P. Jung, L. W. Ko, S. A. Chen, J. T. King, and K. McDowell, “Mind-Wandering Tends to Occur Under Low Perceptual Demands During Driving,” Scientific Reports, Vol. 6, No. 21353, pp. 1-11, 2016.

7. O. Kaiwartya, H. Abdullah, Y. Cao, A. Altameen, M. Prased, C. T. Lin and X. Liu, “Internet of Vehicles: Motivation, Layered Architecture Network Model Challenges and Future Aspects,”  IEEE access, Vol. 4, pp. 5356-5373, Sep. 2016.

8. D. Wu, V. Lawhern, S. Gordon, B. Lance and C. T. Lin, "Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)," accepted by IEEE Trans. Fuzzy Syst., Oct. 2016.

9. Y. T. Liu, Y. Y. Lin, S. L. Wu, A. Marathe, N. Pal, C. H. Chuang, J. T. king, and C. T. Lin, “Weighted Fuzzy Dempster-Shafer Framework for Multi-Modal Information Integration,” accepted by IEEE Trans. Fuzzy Syst., Nov. 2016.

10. S. L. Wu, Y. T. Liu, T. Y. Hsieh, Y. Y. Lin, C. Y. Chen, C. H. Chuang, C. T. Lin, “Fuzzy Integral with Particle Swarm Optimization for a Motor-Imagery-based Brain-Computer Interface,” IEEE Trans. Fuzzy Syst., Vol. 25, No. 1, pp. 21-28, 2017.

11. Z. H. Cao and C. T. Lin, “Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation,” accepted by IEEE Trans. Fuzzy Syst., Jan. 2017.

12. C. T. Lin, C. H. Chuang, Z. H. Cao, A. K. Singh, C. S. Hung, Y. H. Yu, M. Nascimben, Y. T. Liu, J. T. King, T. P. Su, and S. J. Wang, “Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment,” IEEE Access, Vol. 5, PP.10612-10621, March 2017.

13.D. Wu, J. T. King, C. H. Chuang, C. T. Lin, and T. P. Jung, “Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI),” accepted by IEEE Trans. Fuzzy Syst., March 2017.

14. D. Wu, B. J. Lance, V. J. Lawherm, S. Gordon, T. P. Jung, and C. T. Lin, “EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features,“ accepted by IEEE Trans. on Neural Systems and Rehab. Eng., April 2017.

15. W. P. Ding, C. T. Lin, M. Prasad, Z. H. Cao and J. D. Wang, “A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue,” accepted by IEEE Trans. Fuzzy Syst., June 2017.


其他信息