國立台灣科技大學-專利商品網-研發人才-陳永耀

電子工程系(所)

學經歷：

2021.08 ~ 迄今(present) 國立台灣科技大學校級智慧電動車研究中心共同主任
2021.03 ~ 迄今(present) 台科大人工智慧暨數據科學技術聯盟共同主持人
2020.09 ~ 迄今(present) 經濟部智慧局產業專利知識平台學界專家
2020.02 ~ 迄今(present) 國立台灣科技大學電子工程系副教授
2020.02 ~ 迄今(present) 國立台灣科技大學人工智慧研究中心成員
2019.01 ~ 迄今(present) 中華民國科技部 (專題、產學、大專生)研究計畫審查委員
2018.08 ~ 2020.01 國立台北科技大學自動化科技研究所副教授
2018.02 ~ 2020.01 國立台北科技大學華語文中心主任
2013.08 ~ 2018.07 國立台北科技大學自動化科技研究所助理教授
2012.05 ~ 2013.04 美國惠普研究室(HP Labs) 影像系統工程師

專業技術

深度學習/AI技術於落地實證(智慧城市,智慧醫療,學術實證競賽...)、機器視覺、嵌入式AI應用、電子影像與多媒體、自駕車感知 [徵求專題生，歡迎email我，約時間碰面討論大學部實務專題方向]

專利介紹

骨裂偵測方法

	本系統可分為骨骼特徵增強技術與小物件檢測技術兩部分。首先運用骨骼特徵增強技術達到增強紋理細節的效果，......

研究成果與計畫

榮譽及獎勵

2022 國立臺灣科技大學年輕學者研究獎
2021 國立臺灣科技大學優良研究獎
2021 智慧運輸電子應用聯盟第二屆自駕車專題競賽冠軍
2021 全國電子設計創意競賽第二名
2021 中華民國消費電子學會傑出青年獎
2021 經濟部工業局AI產業實戰應用人才淬煉計畫「AIGO競賽」優等獎
2020 全國電子設計創意競賽特別獎
2020 中華民國科技部優秀青年學者獎勵計畫
2020 中華民國科技部吳大猷先生紀念獎
2020 台灣機器人學會青年機器人工程獎
2020 中國電機工程學會優秀青年電機工程師獎
2020 大專院校109年度教職員工籃球錦標賽甲組銀牌
2020 經濟部工業局AI+新銳賽 AI+AR最高實證獎
2019 國立台北科技大學Dr. Ahechtman年輕學者研究獎
2019 國立台北科技大學108年度獎勵特殊優秀研究人才
2019 經濟部工業局資訊應用服務創新創業新秀選拔賽潛力商品組銀牌
2019 經濟部工業局資訊應用服務創新創業新秀選拔賽明日之星獎
2019 第十五屆全國電子設計創意競賽綜合類冠軍
2019 華南金控科技創新競賽創新技術API實證組銀獎
2019 全國大專院校產學創新實作競賽資訊與電子組第一名
2013 美國普渡大學電機系Golden Key榮譽會員
2008 美國普渡大學電機系全額獎學金
2006 交通大學電機與控制工程所(資訊智慧組) 書卷獎/斐陶斐榮譽會員

期刊論文

Ning Shan, Daniel Stanley Tan, Melkamu Sewuyie, Yung-Yao Chen, Wen-Huang Cheng, and Kai-Lung Hua, “Photobomb defusal expert: automatically remove distracting people from photos”, IEEE Trans. Emerging Topics in Computational Intelligence, vol. 4, pp. 717-727, Oct. 2020 (SCI) (https://doi.org/10.1109/TETCI.2018.2865215)
Yung-Yao Chen*, Guan-Yi Li, Sin-Ye Jhong, Ping-Han Chen, Chiung-Cheng Tsai, and Po-Han Chen, “Nighttime pedestrian detection based on thermal imaging and convolutional neural networks”, Sensors and Materials, pp. 3157-3167, vol. 32, Oct. 2020 (SCI) (https://doi.org/10.18494/SAM.2020.2838)
Yung-Yao Chen, Chih-Hsien Hsia, Hsiang-Yun Kao, You-An Wang, and Yu-Chen Hu*, “An image authentication method for secure Internet-based communication in human-centric computing”, Journal of Internet Technology, accepted, July 2020 (SCI)
Yong-Xiang Lin, Daniel Tan, Yung-Yao Chen, Ching-Chun Huang, and Kai-Lung Hua*, “Domain adaptation with foreground/background cues and gated discriminators”, IEEE MultiMedia, vol. 3, pp. 44-53, July 2020 (SCI) (https://doi.org/10.1109/MMUL.2020.3008529)
Trang-Thi Ho, John Virtusio, Yung-Yao Chen, Chih-Ming Hsu, and Kai-Lung Hua*, “Sketch-guided deep portrait generation”, ACM Trans. Multimedia Computing Communications and Applications, article No. 88, July 2020 (SCI) (https://doi.org/10.1145/3396237)
Yu-Hsiu Lin, Kai-Lung Hua, Hsin-Han Lu, Wei-Lun Sun, and Yung-Yao Chen*, “An adaptive exposure fusion method using fuzzy logic and multivariate normal conditional random fields”, MDPI Sensors, vol. 19, pp. 4743, Oct. 2019. (SCI) (https://doi.org/10.3390/s19214743)
Yung-Yao Chen and Yu-Hsiu Lin*, “A smart autonomous time- and frequency-domain analysis current sensor-based power meters prototype developed over fog-cloud analytics for demand-side management”, MDPI Sensors, vol. 19, pp. 4443, Oct. 2019 (SCI) (https://doi.org/10.3390/s19204443)
Yung-Yao Chen, Yu-Hsiu Lin*, Chia-Ching Kung,Ming-Han Chung, and I-Hsuan Yen, “Design and implementation of cloud analytics-assisted smart power meters considering advanced artificial intelligence as edge analytics in demand-side management for smart homes”, MDPI Sensors, vol. 19, pp. 2047, May 2019 (SCI) (https://doi.org/10.3390/s19092047)
Yu-Hsiu Lin, Chih-Hsien Hsia, Bo-Yan Chen, and Yung-Yao Chen*, “Visual IoT security: data hiding in AMBTC images using block-wise embedding strategy”, MDPI Sensors, vol. 19, pp. 1974, April 2019 (SCI) (https://doi.org/10.3390/s19091974)
Chih-Hsien Hsia, Sin-Hong Lin, and Yung-Yao Chen*, “Adaptive wavelet shrinkage based on intelligent FIS learned thresholding”, J. Imaging Science and Technology (JIST), pp. 030407, March 2019 (SCI) (https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.3.030407)

期刊論文

Sin-Ye Jhong, Po-Yen Tseng, Natnuntnita Siriphockpirom, Chih-Hsien Hsia, Ming-Shih Huang, Kai-Lung Hua , Yung-Yao Chen*, “ An automated biometric identification system using CNN-based palm vein recognition”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, taiwan, Aug. 2020. (研討會最佳論文獎)
Yung-Yao Chen*, Sin-Ye Jhong, Guan-Yi Li, and Ping-Han Chen, “Thermal-based pedestrian detection using faster R-CNN and region decomposition branch”, Proc. Int. Symp. Intelligent Signal Processing and Communication Systems (ISPACS 2019), Taipei, Taiwan, Dec. 2019.
Ping-Han Chen, Bo-Chiuan Chen, Chih-Keng Chen, and Yung-Yao Chen*, “Infrared-based nighttime on-road obstacle detection by combining deep-learned and hand-crafted features”, Proc. The 4th SHANGHAI-STUTTGART symposium on Automotive and Powertrain Technology, Shanghai, China, Oct. 2019.
Yong-Xiang Lin, Daniel Tan, Wen-Huang Cheng, Yung-Yao Chen, Kai-Lung Hua*, “ Spatially-aware domain adaptation for semantic segmentation of urban scenes”, Proc. The 26th IEEE International Conf. Image Processing (ICIP), Taipei, taiwan, Sept. 2019.
Kuo-Hua Hsu, Ting-Chi Liu, Kai-Lung Hua, and Yung-Yao Chen*, “ Detail-preserved tone mapping based on joint global and local histogram equalization”, Proc. Second International Cognitive Cities Conference, Kyoto, Japan, Sept. 2019.
Shih-Chang Lin, Kai-Lung Hua, Guan-Yi Li, and Yung-Yao Chen*, “ Part-Based CNN for Infrared Pedestrian Detection”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Aug. 2019.
Yu-Hsiu Lin, Chih-Hsien Hsia, Bo-Yan Chen, and Yung-Yao Chen*, “AMBTC-Based Data Hiding Using Intra- and Inter-Block Embedding Strategy”, Proc. The 7th Int. Conf. Communications, Computation, Networks and Technologies, Nice, France, Oct. 2018. (研討會最佳論文)
Tzu-Chieh Lin, Daniel Stanley Tan, Hsueh-Ling Tang, Shih-Che Chien, Feng-Chia Chang, Yung-Yao Chen, Wen-Huang Cheng, and Kai-Lung Hua, “Pedestrian detection from Lidar data via cooperative deep and hand-crafted features”, Proc. IEEE Int. Conf. Image Processing (ICIP), Athens, Greece, Oct. 2018.
Shih-Shinh Huang, Shih-Che Chien, Feng-Chia Chang, Guan-Yi Li, Chiung-Cheng Tsai, and Yung-Yao Chen*, “Infrared-based nighttime vehicle recognition using deep learning”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Sept. 2018.
Yung-Yao Chen*, Chih-Hsien Hsia, Yun-Chen Tsai, and Kuan-Yu Chi, “Halftone-based data hiding method using orientation modulation strategy”, Proc. First International Cognitive Cities Conference, Okinawa, Japan, Aug. 2018.