Celebration Lunch for Lab Members

Laboratory’s semesterly gathering! Grateful for the efforts of all laboratory members throughout this semester. Looking forward to continuing our academic research to contribute more to humanity.

Laboratory’s semesterly gathering! Grateful for the efforts of all laboratory members throughout this semester. Looking forward to continuing our academic research to contribute more to humanity.
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).
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.
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 long been dedicated to research in sports science and artificial intelligence, achieving outstanding results in areas such as athlete stress detection, fatigue monitoring, and sports injury prevention.
Lab conducts a collaborative research project with Taichung Veterans General Hospital to Predict the Brain Tumor Growth. This research utilizes deep learning and machine learning to construct pre-processing techniques for brain tumor MRI images, as well as models for detecting the areas of brain tumors and edema. This facilitates a comparison of the extent of…
Lab conducts a collaborative research project with Taichung Veterans General Hospital to predict brain perfusion region in stroke patients. The project aims to construct pre- and post-operative brain perfusion region prediction models based on deep learning techniques, and conduct quantitative analyses to assist physicians in more accurately assessing patient conditions.