吳佳廸助理教授
| 吳佳廸 | ||
| 職稱 | 助理教授 | |
| 最高學歷 | 國立台灣大學 生物產業機電工程學研究所博士 | |
| 學術專長 | 智慧物聯網、網路與通訊工程、資訊網路布建、網路資安、智慧型機器人、生物機電、機電輔具設計、半導體元件特性、新穎光電元件、光通訊模組、技職教育、工程教育、資訊教育、產學合作 | |
| 連絡方式 | 07-3617141#23312 | |
| chiatiwu@nkust.edu.tw | ||
| 期刊論文 | |
| 年份/月份 | 主題 |
|---|---|
|
2024 |
Chia-Ti Wu*, Yueh-Chien Lee, Ruei-San Chen.“Investigation on room-temperature persistent photoconductivity in γ-InSe layered semiconductor“, Solid State Communications, Vol. 393, No.115666, 2024. (SCI) |
|
2024 |
Wen-Te Wu, Kwong-Kau Tiong, Shih-Wei Tan, Sheng-Yao Hu, Yueh-Chien Lee, Ruei-San Chen, and Chia-Ti Wu.“Optical Study on Temperature-Dependent Absorption Edge of γ-InSe-Layered Semiconductor” , Appl. Sci, Vol.14, No.15, 2024. (SCI) |
|
2017 |
Chia-Ti Wu , Sheng-Yao Hu, Kwong-Kau Tiong, Yueh-Chien Lee, “ Anisotropic effects in the Raman scattering of Re-doped 2H-MoSe2 Layered Semiconductors”, Results in Physics, Vol.7, 2017. (SCI) |
|
2017 |
Chia-Ti Wu , Chia-Chih Huang, and Yeun-Chung Lee.“A plasmonic wavelength demultiplexer with a ring resonator using high-order resonant modes ”, Applied Optics, Vol. 56, No.19, 2017. (SCI) |
|
2017 |
Chia-Ti Wu , Fu-Ming Lu, Lian-Hsiung Lin, Chia-Lin Chou, Cheng-Long Chuang, Joe-Air Jiang, Yeun-Chung Lee. “Feasibility of Near-Infrared Inspection to Assess the Protein Content of Single Rice Kernels ”, Journal of Agricultural Machinery, Vol. 25, No 4, 2017. |
| 學術研討會 | |
| 年份 | 主題 |
|---|---|
|
2024 |
Chia-Ti Wu* and Wan-Ru, YAO. Discussion on applying deep learning to detect the quality of optical fiber splicing. 2024 ISNST, Oct. 17-18, 2024, Tainan, Taiwan. (Extended Abstract, Poster) |
|
2023 |
吳佳廸。2023。技高學生自主參與智慧型移動機器人開發之實證研究。2023教學實踐研究研討會。高雄：國立高雄科技大學。(Poster) |
|
2022 |
Ke-Hao Chen, Chiu-Chin Lin, Chung-Hsien Chen, Jen-Chun Lee, Chia-Ti Wu*, “Crop Classification on Deep Learning”, 2022 IET International Conference on Engineering Technologies and Applications （IET-ICETA）, October 14-16, 2022, Changhua, Taiwan. |
|
2022 |
Chi-Ling Kuo, Jen-Chun Lee, Chung-Hsien Chen, Chiu-Chin Lin, Chia-Ti Wu*, “Traditional Chinese scene text recognition”, 2022 IET International Conference on Engineering Technologies and Applications （IET-ICETA）, October 14-16, 2022, Changhua, Taiwan. |
|
2022 |
Yu-Xiang Zhang, Chiu-Chin Lin, Chung-Hsien Chen, Jen-Chun Lee, Chia-Ti Wu*, “Table of Contents Recognition using Deep Learning”, 2022 IET International Conference on Engineering Technologies and Applications （IET-ICETA）, October 14-16, 2022, Changhua, Taiwan. |