鄭昌杰於2007年和2014年取得國立交通大學資訊科學工程所的碩士與博士學位。現為國立陽明交通大學資訊科技服務中心的助理教授。他的主要研究項目在電腦視覺、影像處理和生醫成像。 他曾經提出了一種以追蹤特徵點為基礎的影像對齊方法，來提高納米解析度的電腦斷層掃描影像品質。他還使用以 CNN 的學習模型來提高同步輻射成像的品質。 他正在研究AIoT（AI+IoT）並使用重力感測器設計了穿戴式設備，用於分類人體行為以及識別手寫簽名。 他目前也在研究如何將AioT應用在藝術方面。他期望結合電腦視覺和物聯網可以帶來令人驚嘆的藝術作品。
Chang-Chieh Cheng
Chang-Chieh Cheng received his M.S. and PhD degrees in Computer Science and Information Engineering from National Chiao Tung University in 2007 and 2014, respectively. He is currently an Assistant Professor at the Information Technology Service Center, National Yang Ming Chiao Tung University, Taiwan. His primary research projects focus on computer visi, image processing, and biomedical imaging. He proposed an image alignment method with feature tracking to improve the quality of nanoscale tomography. He also used a CNN-based learning model to improve the quality of synchrotron radiation imaging. He is studying AIoT (AI + IoT). He used G-sensors to design a wearable device to classify human behavior and identify the handwritten signature. He is also studying using AIoT in art. He expects that combining computer vision and IoT can bring an astonishing artwork.
