MVL LAB New Student Notice!!!
Thesis advisor: PhD.Chiang, Chen-Kuo

Laboratory research direction:
The main research direction of the laboratory is AI-related technology, and currently it focuses on the application of AI technology in computer vision and the application of AI technology in time-series data. You can find the above two related directions for your graduation thesis, or make plans related to it.

Project:
The first-year students will assist or hand over the projects of the second-year students. The number depends on the number of plans received by the teacher. Each person needs to be responsible for 1~2 projects and assist 1~2 projects.

TA:
First-year students need to assist the teacher's course teaching assistants. The number of teaching assistants depends on the announcement of the department.

Inside the lab:
First-year students need to assist with laboratory affairs, such as reporting accounts, managing laboratory finances, managing laboratory websites, managing laboratory equipment, arranging laboratory recreational activities, etc. The details are based on the number of students enrolled and changes in laboratory affairs arrangements.

Take courses:
All courses taught by the teacher must be taken in the graduate school, in addition to the compulsory courses, other courses are mainly related to the laboratory research direction.

Weekly meeting:
        1.Project meeting: Report the progress of the project, and all students who have participated in the project must participate
        2.Lab meeting: Every week, 1~2 people will take turns to report papers, and all laboratory personnel must participate
        3.Paper meeting: Report on the research progress of your thesis, and students who need it will participate

New Student Advice:
At present, the laboratory uses a remote connection to the Ubuntu computing computer shared by the laboratory, and uses the Pytorch package to develop AI-related technologies. Therefore, it is recommended to learn the basic theory of machine learning and deep learning, as well as learn Python and Pytorch. There are currently a lot of teaching resources available on the Internet, and the laboratory will also conduct freshmen training before the start of the school year.

  • December 01, 2022