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Mbist, DC Continuity and Shmoo analysis skill. Test time reduction solution, data analysis script develop. Experience in English communication with foreign customers and on-site/remote debugging. Team leading experience from NPI to MP EducationM.S. - National Tsing Hua University Electrical Engineering - Computer vision, Deep learning, Machine learning Master's thesis: Human Key points Detection Based On Effective Lightweight Neural NetworkB.S. - Yuan Ze University Communication Engineering Skill VBA C# Python/PyTorch Matlab Project Digital Image Process - Filter implement Computer Vision - Image Filtering and Hybrid Images、Panorama Stitching Computer Graphics

YU-HSIANG, HSU (Shawn) 中文履歷 B2B/CRM | ERP | CIM | Programming | Data Analysis | Project Management 7~8 years of experience in software development and project management for the semiconductor and electronic components industries. Integrate B2B transaction data (ERP and MES) into the ERP system of the global supply chain. Data analytics and visualization, software development, distributed architecture design. SQL performance tuning, heterogeneous distributed database to integrate data from different databases. Using deep learning to detect objects Tainan, Taiwan Skills Languages: Mandarin (native), English (Intermediate) Programming: C#, Java, SQL, Python, PL/SQL

David Huang [email protected] • github.com/d86518 • Taiwan 樂於開發程式讓生活更好 の 平凡軟體工程師 / 愛書人 請進 Education 腳踏實地 / 一步步向前 2015 年 9 月年 6 月 國立交通大學 資訊管理與財務金融學系 資訊管理組 國立交通大學 資訊工程學系 輔系 畢業學分年 7 月年

Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management Master's Degree, Computer Science and Engineering Education National Yang-Ming Chiao Tung University (NYCU) • JulySeptember 2023 Advisor : Dr. Vincent S. Tseng 曾新穆 (Chair professor, CSIE, NYCU.) Thesis : Self-supervised pulse-aware and interpretable disentangled ECG representation learning. Proposed a self-supervised learning framework with two-fold training efficiency compared to the existing methods. The proposed framework offers a clinically interpretable representation , a crucial aspect in clinical applications. I proactively organized a regular research study group with other lab members to progress our research

資料規格的測試工具鏈。 oToBrite 歐特明電子，視覺演算法工程師，2018 年 9 月年 9 月 前方警示系統 (ADAS) / 視覺環景偵測系統 (APA) C、Python、Deep learning、Motion planning、Git 負責後端演算法與原型開發。 負責核心視覺演算法之開發與維護。 持續優化產品之性能，使演算法同時符合硬

謝坤達 1、具有多年主持研發經驗，專長智慧電網、智慧家庭及RFID、無線感測網路架構規劃等，謀求技術顧問、產品市場規劃相關職務。 2、熟悉計算機通訊、計算機語言、資安加解密等專長，並擅長規劃各種資通訊、防災應用、智慧電網應用。 專案管理 城市

議 Lee, C. I., Su, Y. R. , Chen, C. H., Chang, T. A., Kuo, E. E., Zheng, W. L., Hsieh, W. T., Huang, C. C., Lee, M. S., & Liu, MEnd-to-end deep learning for recognition of ploidy status using time-lapse videos. Journal of assisted reproduction and genetics, 38(7), 1655–1663. https://doi.org//s技能 專業領域：Computer Vision, Image Processing, Machine Learning, Deep Learning 程式語言