師 資 介 紹

人工智慧與機器人碩士學程 > 師資介紹-陳文雄
學程教師
特聘教授

陳文雄

學歷

逢甲大學 電機系 學士

國立台灣大學 電機系 碩士

美國德州農工大學（A&M）電機系 博士班研究（教育部公費）

美國南加州大學（USC）電機系 博士（教育部公費）

研究領域

機器學習與圖型辨識、影像處理與電腦視覺、生物辨識、深度學習、人工智慧

研究室

科一216-1

研究計畫

執行科技部、經濟教育與衛生署等各單位補助之類型研究計 畫共54 件。
具體學術成就或貢獻事蹟:

  • 1990/09 ~ 1994/09 獲得教育部獎學金赴美進修博士學位
  • 1998 八十七學年度教育部大專通訊科技教育改進計劃教材編撰 優等獎
  • 2002 Conference on Computer Vision, Graphics and Image Processing 最佳論文佳作獎
  • 2002 Conference on Computer Vision, Graphics and Image Processing 最佳論文佳作獎
  • 2002 TIC100第四屆研華科技創業競賽(指導教授) 企業精神獎
  • 2002 TIC100第四屆研華科技創業競賽 最佳指導教授獎
  • 2003 TIC100第五屆研華科技創業競賽(指導教授) 最佳科技創新事業優獎
  • 2006 Conference on Computer Vision, Graphics and Image Processing 優良論文獎
  • 2008 Conference on Computer Vision, Graphics and Image Processing 最佳論文佳作獎
  • 2011 國科會100年度補助大專校院獎勵優秀人才
  • 2012 國科會101年度補助大專校院獎勵優秀人才
  • 2018 國科會107年度補助大專校院獎勵優秀人才
  • 行政院公共工程委員會 諮詢委員（2000、2001）
  • 考試院高等考試 典試委員（2011）
  • 教育部 高教評鑑中心 電機與電子工程學門 評鑑委員（2009 ~ present）
  • 經濟部技術處SBIR計畫 主審委員（2009 ~ present）
  • 國科會工程處資訊(2)學門 初審委員（多年）
  • 國科會工程處資訊(2)學門 複審委員（2010、2011、2012）
  • 擔任多份國際學術期刊 reviewer
  • 擔任多項國際學術會議 technical committee
  • 擔任多所大學校院自辦評鑑 自評委員

研究成果

期刊論文

  • H.-T. Chu, L. Hsieh and W.-S. Chen, “A novel design of instant messaging service extended from short message service with XMPP,” International Journal Computer Networks and Applications, vol. 2, no. 1, pp. 35-40, Feb. 2015.
  • W.-S. Chen, L. Hsieh and Y.-S. Chiang, “Biometric verification by fusing hand geometry and palmprint features for personal authentication,” International Journal of Emerging Technologies in Engineering Research, vol. 3,
  • no.3, pp. 55-63, Dec. 2015.
  • W.-S. Chen and J.-F. Huang, “Speaker recognition with spectral dimension features of human voices for personal authentication,” Journal of Network Communications and Emerging Technologies, vol. 5, no. 3, pp. 6-11, Dec. 2015.
  • W.-S. Chen, L. Hsieh and Y.-N. Hsieh, “Design and implementation for SIP-based push-to-talk services over 802.11 networks,” International Journal Computer Networks and Applications, vol. 2, no. 6, pp. 261-266, Dec. 2015.
  • R.-H. Jeng and W.-S. Chen, “Two feature-level fusion methods with feature-scaling and hashing for multimodal biometrics,” IETE Technical Review, vol. 34, no. 1, pp. 91-101, Jan. 2017.
  • W.-S. Chen and W.-C. Wang, “Fusion of hand-shape and palm-print traits using morphology for bi-modal biometric authentication,” International Journal of Biometrics, vol. 10, no. 4, pp. 368-390, Dec. 2018.
  • W.-S. Chen and K.-H. Chih, “Personal authentication technique with human iris recognition using wavelet transform and coding,” International Journal of Emerging Technologies in Engineering Research, vol. 6, no.6, pp. 18-28, Jun. 2018.
  • W.-S. Chen, P.-A. Chen, Y.-F. Chen and L. Hsieh, “A deep convolutional neural network with sharpening filters for face recognition,” International Journal of Advances in Electronics and Computer Science, vol. 6, no. 1, pp. 53-57, Jan., 2019.
  • W.-S. Chen, “A fast fractal coding technique with range block rotation for still images,” European Journal of Engineering Research and Science, 2019
  • W.-S. Chen and R.-H. Jeng, “Eigen-based binary feature amalgamation in multimodal Biometrics,” International Journal of Biometrics, vol. 12, no. 3, pp. 269-282, 2020.
  • W.-S. Chen and R.-H. Jeng, “A New Patch-based LBP with Adaptive Weights for Gender Classification of Human Face,” Journal of the Chinese Institute of Engineers, vol. 43, no. 5, pp. 451-457, May, 2020.
  • R.-H. Jeng, W.-S. Chen and L. Hsieh, “A feature-level fusion for multimodal biometrics,” 18th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI2014), Orlando, Florida, USA, July 15-18, 2014.
  • R.-H. Jeng, W.-S. Chen and L. Hsieh, “Real-time robust face recognition using weight-incorporated LBP,” 1st International Workshop on Pattern Recognition (IWPR2016), Tokyo, Japan, May 11-13, 2016.
  • W.-S. Chen, P.-A. Chen, Y.-F. Chen and L. Hsieh, “A deep convolutional neural network with sharpening filters for face recognition,” International Conference on Electrical and Electronic Engineering, Osaka, Japan, Oct. 27-28, 2018.
  • P.-A. Chen, Y.-F. Chen and W.-S. Chen, “Face recognition based on sharpening convolutional neural network,” 2018 31st IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP’2018), Tainan, Aug. 19-21, 2018.
  • Y.-F. Chen and W.-S. Chen, “Facial age estimation based on discrete wavelet transform-deep convolutional neural network,” to be presented on IEEE International Conference on Consumer Electronics-Taiwan, YiLan, May 20-22, 2019.