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陳俊豪

陳俊豪 副教授

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學歷:

國立成功大學資訊工程系博士

研究領域:

資料探勘、深度學習、最佳化技術、時間序列、機器學習、人工智慧、資料庫

研究室:

科技大樓 637

Office hour

星期二    10:10~12:00

 

分機:

5913

 

 

 經歷

2020.02-now

國立台北科技大學資訊與財金管理系 副教授

2017.08-2020.01

淡江大學資訊工程學系 教授

2013.08-2017.07

淡江大學資訊工程學系 副教授

2010.02-2013.07

淡江大學資訊工程學系 助理教授

2009.05-2009.12

國立高雄大學資訊工程系 博士後

 

 期刊論文

1

J. C. W. Lin, T. Y. Wu, U. Yun, C. H. Chen, G. Srivastava and X. Lv, "An efficient algorithm for mining fuzzy frequent itemsets," accepted and to appear in Journal of Intelligent & Fuzzy Systems, 2020. (SCI)

2

C. H. Chen, C. Y. Lu, T. P. Hong, J. C. W. Lin and M. Gaeta, "An effective approach for the diverse group stock portfolio optimization using grouping genetic algorithm," IEEE Access, Vol. 7, pp. 155871 - 155884, 2019. (SCI)

3

C. H. Chen, B. Y. Chiang, T. P. Hong, D. C. Wang, J. C. W. Lin and M. Gankhuyag, "A fuzzy GGA-based approach to speed up the evolutionary process for diverse group stock portfolio optimization," Journal of Intelligent & Fuzzy Systems, Vol. 37, No. 6, pp. 7465 - 7479, 2019. (SCI)

4

C. H. Chen, J. S. He, T. P. Hong and S. R. Kannan, "Post-analysis framework for mining actionable patterns using clustering and genetic algorithms," IEEE Access, Vol. 7, No. 1, pp. 108101-108115, 01 December 2019. (SCI)

5

C. H. Chen, C. Y. Lu and C. B. Lin, "An intelligence approach for group stock portfolio optimization with a trading mechanism," Knowledge and Information Systems, 21 March 2019. (SCI) (DOI:10.1007/s10115-019-01353-2)

6

J. M. T. Wu, J. C. W. Lin, P. Fournier-Viger, Y. Djenouri, C. H. Chen, Z. Li, "The density-based clustering method for privacy-preserving data mining," Mathematical Biosciences and Engineering, Vol. 16, No. 3, pp. 1718-1728, 2019. (SCI)

7

J. C. W. Lin, J. M. T. Wu, P. Fournier-Viger, Y. Djenouri, C. H. Chen and Y. Zhang, "A sanitization approach to secure shared data in an IoT environment," IEEE Access, Vol. 7, pp. 25359 - 25368, February, 2019. (SCI)

8

T. Y. Wu, J. C. W. Lin, Y. Zhang, C. H. Chen, "A grid-based swarm intelligence algorithm for privacy-preserving data mining," Applied Sciences, Vol. 9, No. 4, pp. 774, 2019. (SCI)

9

C. H. Chen, Y. H. Chen, J. C. W. Lin and M. E. Wu, "An effective approach for obtaining a group trading strategy portfolio using grouping genetic algorithm," IEEE Access, Vol. 7, pp. 7313 - 7325, 2019. (SCI)

10

T. P. Hong, C. C. Kao, S. W. Chen and C. H. Chen, "Mining multiplex interaction relationships from usage records in social networks," accepted and to appear in Intelligent Data Analysis, 2018. (SCI)

11

T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Generalizing concept-drift patterns for fuzzy association rules" Journal of Network Intelligence, Vol. 3, No. 2, pp. 126-137, 2018.

12

C. H. Chen and C. H. Yu, "A series-based group stock portfolio optimization approach using the grouping genetic algorithm with symbolic aggregate approximations," Knowledge-Based Systems, Vol. 125, pp. 146-163, 2017. (SCI)

13

W. Y. Lin, Y. E. Wei and C. H. Chen, "GIAMS: A generic approach for mining indirect association rules in data streams," Intelligent Data Analysis, Vol. 21, No. S1, pp. 177-194, 2017. (SCI)

14

C. H. Chen, C. C. Chen and Y. Nojima, "An efficient and effective approach for mining a group stock portfolio using MapReduce," Intelligent Data Analysis, Vol. 21, No. S1, pp. 217-232, 2017. (SCI)

15

C. H. Chen, Vincent S. Tseng, H. H. Yu, T. P. Hong and N. Yen, "A GA-based approach for finding appropriate granularity levels of web patterns from time series," International Journal of Web and Grid Services, Vol. 12, No. 3, pp. 217-239, 2016. (SCI)

16

C. H. Chen, G. C. Lan, T. P. Hong and S. B. Lin, "Mining fuzzy temporal association rules by item lifespans," Applied Soft Computing, No. 41, pp. 265-274, 2016. (SCI)

17

C. H. Chen and C. Y. Hsieh, "Actionable stock portfolio mining by using genetic algorithms," Journal of Information Science and Engineering, Vol. 32, No. 6, pp. 1657-1678, 2016. (SCI)

18

C. H. Chen, T. P. Hong, Y. C. Lee and Vincent S. Tseng, "Finding active membership functions for genetic-fuzzy mining," International Journal of Information Technology & Decision Making, Vol. 14, No. 16, pp. 1215-1242, 2015. (SCI)

19

T. P. Hong, C. H. Chen and F. S. Lin, "Using the group genetic algorithm to improve performance of attribute clustering," Applied Soft Computing, Vol. 29, pp. 371-378, 2015. (SCI)

20

C. H. Chen, A. F. Li and Y. C. Lee, "Actionable high-coherent-utility fuzzy itemset mining," Soft Computing, Vol. 18, No. 12, pp. 2413-2424, 2014. (SCI)

21

C. H. Chen, J. S. He and T. P. Hong, "MOGA-based fuzzy data mining with taxonomy," Knowledge-Based Systems, Vol. 54, pp. 53-65, 2013. (SCI)

22

C. H. Chen, G. C. Lan, T. P. Hong and Y. K. Lin, "Mining high coherent association rules with consideration of support measure," Expert Systems with Applications, Vol. 40, No. 16, pp. 6531-6537, 2013. (SCI)

23

C. H. Chen, R. D. Chiang, T. F. Wu and H. C. Chu, "A combined mining-based framework for predicting telecommunications customer payment behaviors," Expert Systems with Applications, Vol. 40, No. 16, pp. 6561-6569, 2013. (SCI)

24

C. H. Chen, R. D. Chiang, Y. H. Wang and H. C. Chu, "Prediction of members’ repurchase rates with time weight function," Soft Computing, Vol. 17, No. 9, pp. 1711-1723, 2013. (SCI)

25

C. H. Chen, Vincent S. Tseng, H. H. Yu and T. P. Hong, "Time series pattern discovery by a PIP-based evolutionary approach," Soft Computing, Vol. 17, No. 9, pp. 1699-1710, 2013. (SCI)

26

C. H. Chen, A. F. Li and Y. C. Lee, "A fuzzy coherent rule mining algorithm," Applied Soft Computing, Vol. 13, pp. 3422-3428, 2013. (SCI)

27

C. H. Chen, R. D. Chiang and H. C. Chu, "Combing customer profiles for members’ return visit rate predictions," International Journal of Innovative Computing, Information and Control, Vol. 9, No. 2, pp. 503-523, 2013. (SCI)

28

C. H. Chen, R. D. Chiang, C. Y. Chen and C. M. Lee, "Improving the performance of association classifiers by rule prioritization," Knowledge-Based Systems, Vol. 36, pp. 59-67, 2012. (SCI)

29

C. H. Chen, R. D. Chiang, C. Y. Chen, "Improving the performance of association classifiers by class prioritization," Journal of computational information systems, Vol. 8, pp. 1697-1712, 2012. (EI)

30

C. H. Chen, T. P. Hong and Y. C. Lee, "Genetic-fuzzy mining with taxonomy," International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 20, No. 2, pp. 187-205, 2012. (SCI)

31

C. H. Chen, T. P. Hong, Vincent S. Tseng and L. C. Chen, "Multi-objective genetic-fuzzy data mining," International Journal of Innovative Computing, Information and Control, Vol. 8, No. 10(A), pp. 6551-6568, 2012. (SCI)

32

C. H. Chen, T. P. Hong, Vincent S. Tseng, "Finding Pareto-front membership functions in fuzzy data mining," International Journal of Computational Intelligence Systems, Vol. 5, No. 2, pp. 343-354, 2012. (SCI)

33

C. H. Chen, T. P. Hong and Vincent S. Tseng, "Fuzzy data mining for time-series data," Applied Soft Computing, Vol. 12, No. 1, pp. 536-542, 2012. (SCI)

34

H. H. Yu, C. H. Chen and Vincent S. Tseng, "Mining emerging patterns from time series data with time gap constraint," International Journal of Innovative Computing, Information and Control, Vol. 7, No. 9, pp. 1-14, 2011. (SCI)

35

C. H. Chen, T. P. Hong, Vincent S. Tseng, "Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering," Soft Computing, Vol. 15, No. 12, pp. 2319-2333, 2011. (SCI)

36

T. P. Hong, W. T. Lin, C. H. Chen and C. S. Ouyang, "Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems," International Journal of Intelligent Information and Database Systems, Vol. 5, No. 3, pp. 229 – 245, 2011. (EI)

37

L. C. Chen, C. H. Chen, H. M. Chen and Vincent S. Tseng, "Hybrid data mining approaches for prevention of drug dispensing errors," Journal of Intelligent Information Systems, Vol. 36, No. 3, pp. 305-327, 2011. (SCI)

 

 研討會論文

1

Jia-Hao Syu, M. E. Wu, C. H. Chen and J. M. Ho, "Threshold-adjusted orb strategies with genetic algorithm and protective closing strategy on Taiwan futures market," accepted and to appear in International Conference on Acoustics, Speech, and Signal Processing, 2020.

2

Chun-Hao Chen, Che-Kai Fan and Tzung-Pei Hong, "Construction of an intelligent tennis coach based on Kinect and a sensor-based tennis racket," accepted and to appear in The Asian Conference on Intelligent Information and Database Systems, 2020.

3

J. C. W. Lin, M. T. Wu, P. Fournier-Viger, C. H. Chen and T. Li, "A project-based PMiner algorithm in uncertain databases," International Conference on Technologies and Applications of Artificial Intelligence, PP. 1-5, 2019.

4

C. H. Chen, M. Gankhuyag, T. P. Hong, M. E. Wu, J. M. T. Wu, "A multiobjective-based group trading strategy portfolio optimization technique," The International Conference on Genetic and Evolutionary Computing, 2019.

5

C. H. Chen, C. Y. Cheng, M. E. Wu, K. W. Lin, J. C. W. Lin and T. P. Hong, "An evolutionary-based algorithm for multi-period grouping stock portfolio optimization," accepted and to appear in IEEE International Conference on Systems, Man, and Cybernetics, 2019.

6

C. H. Chen and P. Shih, "A stock trend prediction approach based on chinese news and technical indicator using genetic algorithms," The IEEE Congress on Evolutionary Computation, 2019.

7

C. H. Chen, W. Y. Shen, M. E. Wu and T. P. Hong, "A divide-and-conquer-based approach for diverse group stock portfolio optimization using island-based genetic algorithms," The IEEE Congress on Evolutionary Computation, 2019.

8

T. P. Hong, Y. C. Yang, J. H. Su and C. H. Chen, "Content-based motorcycle counting for traffic management by image recognition," The Asian Conference on Intelligent Information and Database Systems, pp. 180-188, 2019.

9

J. C. W. Lin, Y. Zhang, C. H. Chen, J. M. T. Wu, C. M. Chen and T. P. Hong, "A multiple objective PSO-based approach for data sanitization," The Conference on Technologies and Applications of Artificial Intelligence, 2018.

10

C. H. Chen, B. Y. Chiang and T. P. Hong, "An approach for optimizing group stock portfolio using multi-objective genetic algorithm," International Conference on Behavioral, Economic, and Socio-Cultural Computing, 2018.

11

C. H. Chen, Y. H. Chen, M. E. Wu and T. P. Hong, "A sophisticated optimization algorithm for obtaining a group trading strategy portfolio and its stop-loss and take-profit points," IEEE International Conference on Systems, Man, and Cybernetics, 2018.

12

C. H. Chen, C. Y. Lu and J. H. Su, "An enhanced approach for diverse group stock portfolio optimization using the grouping genetic algorithm," IEEE International Conference on Knowledge Innovation and Invention, 2018.

13

C. H. Chen, B. Y. Chiang, T. P. Hong, D. C. Wang and Jerry C. W. Lin, "An approach for diverse group stock portfolio optimization using the fuzzy grouping genetic algorithm," The Asian Conference on Intelligent Information and Database Systems, 2018.

14

C. H. Chen, T. P. Hong and S. C. Chu, "Diverse group stock portfolio optimization based on investor sentiment index," The Conference on Technologies and Applications of Artificial Intelligence, 2017.

15

C. H. Chen and H. Chou, "Fuzzy temporal association rule acquisition technique with membership function tuning mechanism," International Conference on Fuzzy Theory and Its Applications, 2017.

16

洪宗貝, 高冀正, 陳翔維, 陳俊豪, "從社群網路用戶使用記錄探勘階層互動關係及其應用," 臺灣網際網路研討會, pp. 141-144, 2017.

17

C. H. Chen and C. H. Yu, "A PIP-based approach for optimizing a group stock portfolio by grouping genetic algorithm," accepted and to appear in The International Conference on Genetic and Evolutionary Computing, 2017.

18

C. H. Chen, Y. H. Chen and M. E. Wu, "A GGA-based algorithm for group trading strategy portfolio optimization," The Multidisciplinary International Social Networks Conference, pp. 1-5, 2017.

19

C. H. Chen, W. Y. Shen, T. P. Hong and J. H. Su, "An island-based algorithm for group stock portfolio optimization," Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, pp.1-5, 2017.

20

C. H. Chen, J. Coupe and T. P. Hong "Optimizing diverse group stock portfolio without setting a number of groups," The IEEE International Conference on Advanced Information Networking and Applications, pp. 594-598, 2017.

21

T. P. Hong, Y. Y. Liu, M. T. Wu, C. H. Chen and L. S. L. Wang, "Genetic-fuzzy mining with MapReduce," The IEEE International Conference on Systems, Man, and Cybernetics, pp. 3294-3298, 2016.

22

C. H. Chen, C. Y. Lu, T. P. Hong and J. H. Su, "Using grouping genetic algorithm to mine diverse group stock portfolios," The IEEE Congress on Evolutionary Computation, pp. 4734-4738, 2016.

23

T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Mining drift of fuzzy membership functions" The Asian Conference on Intelligent Information and Database Systems, 2016.

24

T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, "Mining fuzzy concept-drift patterns from quantitative database change," International Conference on Fuzzy Theory and Its Applications, 2015.

25

C. H. Chen, Y. Li and T. P. Hong, "Type-2 genetic-fuzzy mining with tuning mechanism," The Conference on Technologies and Applications of Artificial Intelligence, 2015.

26

C. H. Chen and C. C. Chen, "Map-reduced based approach for mining group stock portfolio," ASE BigData, 2015.

27

T. P. Hong, J. C. Chen, W. Y. Lin and C. H. Chen, "Analysis of parallel sub-swarm PSO with the same total particle numbers," The International Conference on Network-Based Information Systems, 2015.

28

C. H. Chen, C. Y. Lu and C. H. Yu, "SAX-based group stock portfolio mining approach," The International Conference on Network-Based Information Systems, pp. 280-285, 2015.

29

C. H. Chen, Y. Li, T. P. Hong, Y. K. Li and E. H. C. Lu, "A GA-based approach for mining membership functions and concept-drift patterns," The IEEE Congress on Evolutionary Computation, pp. 2961 - 2965, 2015.

30

C. H. Chen, C. B. Lin and C. C. Chen, "Mining group stock portfolio by using grouping genetic algorithms," The IEEE Congress on Evolutionary Computation, pp. 738 - 743, 2015.

31

C. H. Chen, Y. Li and T. P. Hong, "Fuzzy association rule mining with type-2 membership functions" The Asian Conference on Intelligent Information and Database Systems, also in Lecture Notes in Computer Science, Vol. 9012, pp. 128-134, 2015.

32

T. P. Hong, C. H. Chen and F. S. Lin, "Cluster-based group genetic algorithm for attribute clustering," International Conference on Fuzzy Theory and Its Applications, 2014.

33

Y. C. Lee, Q. F. Qi, T. P. Hong and C. H. Chen, "A GA-based scheduling algorithm on parallel machines with heterogeneous mounted molds," The IEEE International Conference on Granular Computing, 2014.

34

C. H. Chen and C. Y. Hsieh, "A multi-objective genetic stock portfolio mining approach with investor's requests," The IEEE International Conference on Granular Computing, pp. 30-34, 2014.

35

C. H. Chen, G. C. Lan, T. P. Hong and Y. K. Lin, "A projection-based approach for mining highly coherent association rules," The Euro-China Conference on Intelligent Data Analysis and Applications, 2014.

36

Y. Li, C. H. Chen, T. P. Hong and Y. C. Lee, "Genetic-fuzzy mining with type-2 membership functions," The IEEE International Conference on Fuzzy Systems, pp. 1985 - 1989, 2014.

37

C. H. Chen, Yu Li, T. P. Hong, "Multi-level genetic-fuzzy mining with a tuning mechanism," The Asian Conference on Intelligent Information and Database Systems, 2014. also in Lecture Notes in Computer Science, Vol. 8398, pp 82-89, 2014.

38

Eric H. C. Lu, J. H. Hong, Zeal L. T. Su and C. H. Chen, "A fuzzy data mining approach for remote sensing image recommendation," The IEEE International Conference on Granular Computing, pp. 213-218, 2013.

39

C. H. Chen, Y. C. Hsieh and Y. C. Lee, "The YTM-based stock portfolio mining approach by genetic algorithm," The IEEE International Conference on Granular Computing, pp. 38-42, 2013.

40

C. H. Chen and J. S. He, "MOGA-based multi-level genetic-fuzzy mining techniques," The National Conference on Fuzzy Theory and Its Applications, 2013.

41

C. H. Chen, J. S. He and T. P. Hong, "A two-stage multi-objective genetic-fuzzy mining algorithm," The IEEE Symposium Series on Computational Intelligence, pp. 1-5, 2013.

42

陳品安, 張仲良, 郭政偉, 陳俊豪, "領域衍伸為基礎的高殖利率選股模型," 第十七屆人工智慧與應用研討會, 2012.

43

C. H. Chen, G. C. Lan, Y. K. Lin and T. P. Hong, "A high coherent association rule mining algorithm," International Conference on Artificial Intelligence and Applications, pp. 1-5, 2012.

44

C. H. Chen, J. S. He, T. P. Hong and W. T. Lin, "MOGA for multi-level fuzzy data mining," The IEEE International Conference on Granular Computing, pp. 1-5, 2012.

45

C. H. Chen and A. F. Li, "A study on fuzzy coherent data-mining techniques," The International Conference on Fuzzy Theory and Its Applications, 2012.

46

C. H. Chen, A. F. Li and Y. C. Lee, "A high coherent utility fuzzy itemsets mining algorithm," The International Conference on Information Security and Intelligent Control, pp.114-117, 2012.

47

T. P. Hong, F. S. Lin and C. H. Chen, "Using the group genetic algorithm for attribute clustering," The IEEE Congress on Evolutionary Computation, pp. 2352-2356, 2012.

48

C. H. Chen, A. F. Li, T. P. Hong and Y. C. Lee, "Mining fuzzy coherent rules from quantitative transactions without minimum support threshold," The IEEE International Conference on Fuzzy Systems, pp. 1779-1783, 2012.

49

G. C. Lan, C. H. Chen, T. P. Hong and S. B. Lin, "Mining fuzzy temporal association rules with effective lifespans of items," The Cross-Strait Conference on Information Science and Technology and iCube, 2011.

50

G. C. Lan, C. H. Chen, T. P. Hong and S. B. Lin "A fuzzy approach for mining general temporal association rules in a publication database," International Conference On Hybrid Intelligent Systems, pp. 611-615, 2011.

51

C. H. Chen, T. P. Hong and Y. C. Lee, "A multiple-level genetic-fuzzy mining algorithm," The IEEE International Conference on Fuzzy Systems, pp. 278-282, 2011.

52

G. C. Lan, T. P. Hong, Vincent S. Tseng and C. H. Chen, "Using pruning and filtering strategies to speed-up projection-based utility mining," International Conference on System Science and Engineering, pp. 400-404, 2011.

53

C. H. Chen, T. P. Hong and S. B. Lin, "Mining fuzzy temporal knowledge from quantitative transactions," International Conference on System Science and Engineering, pp. 405-409, 2011.

54

W. Y. Lin, Y. E. Wei and C. H. Chen, "Mining indirect associations over streaming data—A generic approach," International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE), 2011. (also in Lecture Notes in Computer Science, Vol. 6703/2011, pp. 95-104, 2011, DOI: 10.1007/978-3-642-21822-4_11)

55

Y. C. Lee, T. P. Hong and C. H. Chen, "Mining generalized association rules with quantitative data under multiple support constraints," International Conference on Computational Collective Intelligence, LNAI 6422, pp. 224-231, Kaohsiung, Taiwan, Nov., 2010.

56

H. H. Yu, Vincent S. Tseng, C. H. Chen and T. P. Hong, "Time series pattern discovery with granular computing concept," iCube, 2010.

57

H. H. Yu, Vincent S. Tseng, C. H. Chen and T. P. Hong, "A PIP-based evolutionary approach for time series segmentation and pattern discovery," The International Computer Symposium, 2010.

58

Chun-Hao Chen, Lien-Chin Chen, Tzung-Pei Hong and Vincent S. Tseng, "A cluster-based divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports," The Conference on Technologies and Applications of Artificial Intelligence, 2010.

59

Chun-Hao Chen, Wen-Yang Lin, Yi-Ching Chen and He-Yi Li, "Mining indirect associations over data streams," The International Conference of System Science and Engineering, 2010.

60

C. H. Chen, T. P. Hong, Vincent S. Tseng, "A SPEA2-based genetic-fuzzy mining algorithm," The IEEE International Conference on Fuzzy Systems, pp. 1-5, 2010.

 

 計畫

2019.06-2019.12

勞工健康數據資料分析與驗證研究, 勞動部勞動及職業安全衛生研究所 (ILOSH1080040) (共同主持人)

2019.08-2020.07

多區間高維度為基礎之群組股票投資組合最佳化技術與智慧物聯理財顧問系統 (MOST 108-2221-E-032-037) (主持人)

2016.08-2017.07

島群式群組遺傳為基礎的模糊多樣群組股票投資組合探勘技術(MOST 105-2221-E-032-057) (主持人)

2015.08-2016.07

群組遺傳為基礎的有效率與效能的高維度模糊多樣群組股票投資組合探勘技術(MOST 104-2221-E-032-040) (主持人).

2015.01-2017.12

計算智慧及決策支援(台法雙邊國際合作研究計畫,主持人: 李健興教授,共同主持人: 顏士淨教授、林文揚教授、陳俊豪副教授) (MOST 104-2911-I-024-501, 105-2911-I-024-50 1, 106-2911-I-024-501).

2014.08-2015.07

為基礎的穩定群組演化式股票投資組合最佳化技術(MOST 103-2221-E-032 -029) (主持人).

2013.04-2016.03

在大型癌症醫學資料庫中之癌症子型模糊分群研究 (台印雙邊國際合作研究計畫,主持人: 洪宗貝教授,參與人員: 王學亮教授、林文揚教授、曾新穆教授、李健興教授、林威成教授、陳俊豪副教授) (NSC-2923-E-390-001- MY3).

2013.08-2014.07

利用大資料建置可行動穩定的股票投資組合選擇模型(NSC 102-2221-E-032- 056) (主持人).

2012.03-2013.02

102年度教育部資訊軟體人才培育推廣計畫(共同主持人), A類.

2012.0-2013.07

可行動知識發掘為基礎的模糊資料探勘技術之研究(NSC 101-2221-E-032-05 7) (主持人).

2011.08-2012.07

領域衍生式時間序列探勘技術之研究(NSC 100-2221-E-032 -065) (主持人).

2011.03-2012.02

101年度教育部資訊軟體人才培育推廣計畫(共同主持人), A類.

2010.08-2011.07

多階層遺傳模糊探勘技術之研究(NSC 99-2218-E-032 -005) (主持人).

 

 取得榮譽

1

Excellent Paper Award, The International Conference on Genetic and Evolutionary Computing, 2020.

2

科技部補助大專校院獎勵特殊優秀人才(2013-2017, 2019)。

3

Best Application Paper Award, 2018 IEEE ICKII.

4

2016淡江大學優良導師。

5

2015淡江大學傑出研究教師獎(16/746).

6

2013 Best Application Paper Award, The IEEE International Conference on Granular Computing.

7

2013 Tamkang University Distinguished Teaching Award (淡江大學教學優良教師).

8

2008 Ph.D. Dissertation Award, Taiwan Association for Artificial Intelligence (中華民國人工智慧學會博士論文獎).

9

2008 Best Paper Award, The 3th International Symposium on Healthcare Information Management (第3屆國際健康資訊管理研討會, 最佳論文獎).

10

2005 Best Paper Award, The 10th Conference on Technologies and Applications of Artificial Intelligence, (第10屆中華民國人工智慧研討會, 最佳論文獎).

 

 系所開設課程

1

計算智慧

2

軟性計算

 

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