國立成功大學電機工程學系助理教授
最高學歷：國立交通大學電子所博士
研究領域：AI Model Architecture and Compression, AI Accelerator, AI-based Vision/Audio Application, Machine Learning, Embedded System
個人網頁：蔡家齊個人網頁
專業經歷：
- 國立成功大學電機工程學系助理教授(2021~present)
- 聯發科技資深工程師(2020~2021)
- 聯發科技工程師(2015~2020)
傑出成就：
- 第二十屆旺宏金矽獎半導體設計與應用大賽，”混合卷積神經網路硬體加速器系統設計與其模型訓練分析工具Hybrid CNN Accelerator System Design and the Associated Model Training/Analyzing Tools” 榮獲評審團銀獎(2020)
- 第十七屆旺宏金矽獎半導體設計與應用大賽，”Stand By You-基於深度學習之駕駛學習輔助系統Driving Learning Assistance System Based on Deep Learning” 榮獲優勝獎(2017)
近期論文：
| [1] | C. -C. Tsai and J. -I. Guo, “IVS-Caffe–Hardware-Oriented Neural Network Model Development,” in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3072145 |
| [2] | C.-C. Tsai et al., “The 2020 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries,” in 2020 IEEE International Conference on Multimedia & Expo (ICME), 2020 |
| [3] | C.-C. Tsai, C.-Y. Lin, and J.-I. Guo, “Dark channel prior based video dehazing algorithm with sky preservation and its embedded system realization for ADAS applications,” Optics express, vol. 27, no. 9, pp. 11877-11901, 2019 |
| [4] | C.-C. Tsai, C.-K. Tseng, H.-C. Tang, and J.-I. Guo, “Vehicle detection and classification based on deep neural network for intelligent transportation applications,” in 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018: IEEE, pp. 1605-1608 |
| [5] | . C.-C. Tsai, Y.-T. Lai, Y.-F. Li, and J.-I. Guo, “A vision radar system for car safety driving applications,” in 2017 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 2017: IEEE, pp. 1-4. |