Lab’s Semester Gathering

The laboratory’s semester gathering at ‘Eatogether’ restaurant. To celebrate the graduation of our seniors and to wish our juniors all the best in their future endeavors. Let’s enjoy our time together to the fullest.
The laboratory’s semester gathering at ‘Eatogether’ restaurant. To celebrate the graduation of our seniors and to wish our juniors all the best in their future endeavors. Let’s enjoy our time together to the fullest.
Dr. Meng-Hsiun Tsai has been invited to serve as a session host in the 2023 International Conference and Annual of the Operations Research Society of Taiwan & The 21st Conference on Sustainable Operation and Development.
Congratulations! Dr. Meng-Hsiun Tsai Appointed as the Chief Advisor of the Taiwan Innovation and Invention Exchange Association (TIIEA). During the term, Dr. Tsai will continue to actively promote cross-strait technological innovation and invention, facilitate exchanges among inventors from both Taiwan and China, and periodically organize scientific and technological conferences (academic forums).
A method for managing the genetic code of species, comprising the following steps: (1) reading the genetic code sequence of species; (2) selecting a control parameter based on the length information of the genetic code sequence; (3) converting the genetic code sequence into a binary sequence using a table lookup method; (4) rearranging the binary…
Congratulations to Professor Meng-Hsun Tsai on receiving the Distinguished Teaching Award II from National Chung Hsing University. He stood out from many outstanding teachers in the university.
Our lab participated in the 2024 GCBME and TSBE Annual Meeting held at National Cheng Kung University, exploring the application of deep learning techniques in the field of sports science.
Lab conducts a collaborative research project with Taichung Veterans General Hospital to predict progression-free survival in brain tumor patients. The laboratory plans to collaborate with physicians to construct a brain tumor image segmentation model to assist in the early detection and diagnosis of tumors.