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伍冬睿

职称:教授

邮箱:drwucn@163.com

个人简介

个人简介:

2015.08-2016.09:西安斯凯智能科技有限公司,首席科学家

2015.06-2016.09:  美国DataNova 公司,首席科学家

2010.06-2015.06:  美国通用电气(GE)全球研发中心(纽约),主管工程师

2009.08-2010.05:  美国南加州大学,电子工程系,博士后

2005.08-2009.05:  美国南加州大学,电子工程系,博士

2003.07-2005.06:  新加坡国立大学,电子与计算机工程系,硕士

1999.09-2003.06:  中国科学技术大学,自动化系,学士

 

主要研究方向:  情感计算,脑机接口,计算智能,机器学习

 

奖励和荣誉:

1.       2016国家青年千人计划

2.       2015  IEEE情感计算汇刊最具影响力论文提名奖

3.       入选2015由美国国家科学院、工程院和医学院联合主办的Kech未来计划(总共60人)

4.       入选2015德国洪堡基金会和美国国家工程院联合主办的德国-美国工程前沿研讨会(总共60人)

5.       2014年美国首席信息官杂志100最佳项目奖(车队管理)

6.       2014年北美模糊信息处理协会首届青年成就奖

7.       2014IEEE模糊系统汇刊最佳论文奖(一作)

8.       2010-2014年间10次获得美国通用电气公司杰出贡献奖

9.       2013年应邀参加德国海德堡阿贝尔、菲尔兹、图灵奖获得者论坛(全球200人)

10.   2013年美国首席信息官杂志100最佳项目奖(水处理)

11.   2012IEEE计算智能协会最佳博士论文奖

12.   2009年美国南加州大学维特比工学院最佳博士论文提名奖

13.   2007IEEE计算智能协会Walter  Karplus 暑期研究奖

14.   2005IEEE模糊系统国际会议最佳学生论文奖

学术任职

IEEE  模糊系统汇刊(IEEE Transactions on Fuzzy Systems),副编,  2011-

IEEE人机系统汇刊(IEEE Transactions on Human-Machine Systems),副编, 2014-

应用计算机科学(Journal of Applied Computer Science),编委会成员,2014-

PeerJ计算机科学(PeerJ Computer Science),编委会成员,2014-

IEEE计算智能杂志“计算智能与情感计算“特刊,主编,2013

IEEE  模糊系统汇刊“脑机接口”特刊,主编,2016

国际情感计算协会,执委会成员,2011-

IEEE  系统、人和控制论学会,脑机接口技术委员会成员,2014-

IEEE计算智能协会,情感计算工作组,主席/副主席,2012-

 

代表性论文:
1. J. M. Mendel and D. Wu, Perceptual Computing:  Aiding people in making subjective judgments, Wiley-IEEE Press, April 2010.  (专著)
2. D. Wu, "Online and Offline Domain Adaptation for Reducing BCI  Calibration Effort," IEEE Transactions on Human-Machine Systems, 2016, in  press.
3. D. Wu, V. Lawhern, D. Hairston and B. Lance, “Switching EEG  Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted  Adaptation Regularization,” IEEE Transactions on Neural Systems and  Rehabilitation Engineering, 2016, in press.
4. A. Marathe, V. Lawhern, D.  Wu, D. Slayback and B. Lance, “Improved Neural Signal Classification in a Rapid  Serial Visual Presentation Task using Active Learning,” IEEE Transactions on  Neural Systems and Rehabilitation Engineering, 24(3), pp. 333-343,  2016.
5. S.M. Salaken, A. Khosravi, S. Nahavandi and D. Wu, “Approximation of  centroid end-points and switch points for replacing type reduction algorithms,”  International Journal of Approximate Reasoning, 66, pp. 39-52, 2015.
6. D.  Wu, “A reconstruction decoder for computing with words,” Information Sciences,  255, pp. 1-15, 2014.
7. D. Wu, B. Lance, and T.D. Parsons, “Collaborative  filtering for brain-computer interaction using transfer learning and active  class selection,” PLoS ONE, 2013.
8. D. Wu, “Approaches for reducing the  computational cost of interval type-2 fuzzy logic controllers: Overview and  comparison,” IEEE Transactions on Fuzzy Systems, 21(1), pp. 80-99, 2013. (IEEE  CIS Publication Spotlight)
9. J.M. Mendel and D. Wu, “Challenges for  perceptual computer applications and how they were overcome,” IEEE Computational  Intelligence Magazine, 7(3), pp 36-47, 2012.
10. D. Wu, “On the fundamental  differences between interval type-2 and type-1 fuzzy logic controllers,” IEEE  Transactions on Fuzzy Systems, 20(5), pp. 832-848, 2012. (IEEE CIS Publication  Spotlight)
11. D. Wu, S. Coupland and J.M. Mendel, “Enhanced interval  approach for encoding words into interval type-2 fuzzy sets and its convergence  analysis,” IEEE Transactions on Fuzzy Systems, 20(3), pp. 499-513,  2012.
12. X. Liu, J.M. Mendel and D. Wu, “Study on Enhanced Karnik-Mendel  algorithms: Initialization explanations and computation improvements,”  Information Sciences, 184(1), pp. 75-91, 2012.
13. X. Liu, J.M. Mendel and D.  Wu, “Analytical solution methods for the fuzzy weighted average,” Information  Sciences, 187, pp. 151-170, 2012.
14. D. Wu and J. M. Mendel, “On the  continuity of type-1 and interval type-2 fuzzy logic systems,” IEEE Transactions  on Fuzzy Systems, 19(1), pp. 179-192, 2011. (IEEE CIS Publication Spotlight;  2014 IEEE TFS Outstanding Paper Award)
15. D. Wu and J. M. Mendel,  “Linguistic summarization using IF-THEN rules and interval type-2 fuzzy sets,”  IEEE Transactions on Fuzzy Systems, 19(1), pp. 136-151, 2011.
16. D. Wu, C.  Courtney, B. Lance, S. Narayanan, M. Dawson, K. Oie, and T.D. Parsons, “Optimal  arousal identification and classification for affective computing: Virtual  reality Stroop task,” IEEE Transactions on Affective Computing, 1(2), pp.  109-118, 2010. (Most Influential Article in TAC Nomination; Top Accessed  Article)
17. D. Wu and J.M. Mendel, “Computing with words for hierarchical  decision making applied to evaluating a weapon system,” IEEE Transactions on  Fuzzy Systems, 18(3), pp. 441-460, 2010.
18. H. Acosta, D. Wu and B. M.  Forrest, “Fuzzy experts on recreational vessels, a risk modeling approach for  marine invasions,” Ecological Modeling, 221(5), pp. 850-863, 2010.
19. D. Wu  and J. M. Mendel, “Enhance Karnik-Mendel algorithms,” IEEE Transactions on Fuzzy  Systems, 17, pp. 923-934, 2009.
20. D. Wu and J. M. Mendel, “A comparative  study of ranking methods, similarity measures and uncertainty measures for  interval type-2 fuzzy sets,” Information Sciences, 179(8), pp. 1169-1192, 2009.  (Top 25 Hottest Article)
21. D. Wu and J. M. Mendel, “Perceptual reasoning  for perceptual computing: A similarity-based approach,” IEEE Transactions on  Fuzzy Systems, 17(6), pp. 1397-1411, 2009.
22. J. M. Mendel and D. Wu,  “Perceptual reasoning for perceptual computing,” IEEE Transactions on Fuzzy  Systems, 16(6), pp. 1550-1564, 2008.
23. D. Wu and J. M. Mendel, “A vector  similarity measure for linguistic approximation: interval type-2 fuzzy sets and  type-1 fuzzy sets,” Information Sciences, 178, pp. 381-402, 2008.
24. D. Wu  and J. M. Mendel, “Aggregation using the linguistic weighted average and  interval type-2 fuzzy sets,” IEEE Transactions on Fuzzy Systems, 15(6), pp.  1145-1161, 2007.
25. D. Wu and J. M. Mendel, “Uncertainty measures for  interval type-2 fuzzy sets,” Information Sciences, 177, pp. 5378-5393,  2007.
26. D. Wu and W. W. Tan, “Genetic learning and performance evaluation  of type-2 fuzzy logic controllers,” Engineering Applications of Artificial  Intelligence, 19(8), pp. 829-841, 2006.
27. D. Wu and W. W. Tan, “A  simplified type-2 fuzzy controller for real-time control,” ISA Transactions,  15(4), pp. 503-516, 2006.
28. D. Wu and T.D. Parsons, “Customized cognitive  state recognition using minimal user-specific data,” Military Health Systems  Research Symposium, Fort Lauderdale, FL, August 2012. (Plenary presentation; 3%  selection rate)
29. D. Wu, T. Parsons, E. Mower and S. Narayanan, “Speech  emotion estimation in 3D space,” IEEE International Conference on Multimedia  & Expo (ICME), Singapore, July 2010. (Oral presentation; 10% selection  rate)
30. D. Wu and W. W. Tan, “Type-2 FLS modeling capability analysis,”  IEEE International Conference on Fuzzy Systems, pp. 242-247, Reno, USA, May  2005. (Best Student Paper Award)

美国/国际专利:
1. A. Kumar, B. Ellis,  Z. Wan, C. Pierce, M. Dokucu, D. Wu and S. Balram, Dynamic monitoring,  diagnosis, and control of cooling tower systems, WO 2015012832.
2. S.  Gustfason and D. Wu, Influencer analyzer platform for social and traditional  media document authors, US 20150348216.
3. C. Johnson, A. pandey, D. Wu, J.  Reimann, S. Evans, and R. Cheinhample, System and method using generative model  to supplement incomplete industrial plant information, US 20160004794.
4. A.  Can, E. Bas, D. Wu, J. Yu, and L. Wahrmund, Expert Guided Knowledge Acquisition  System For Analyzing Seismic Data, pending, 2016. 

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