Autobiography

        In addition to studying at the university stage, I will also study related fields outside of class, including participating in the development of the 2018 NCPU website, JAVA game interface and content development, and using what he has learned to implement ML to detect malicious behavior during the university period. I have curiosity and motivation to implement everything. I used to buy electronic materials and controllers to make a controllable kanban of my own for the electronic kanban that I had in mind. The computer center serves as the head of the network management team. Engineering for me is a job that I love and find myself in. 

         For the current research direction, it is to make a development in the part of machine learning. Especially after the implementation of the project in college (the pattern design of using machine learning to detect malicious behavior on the network), it is found that this is a direction that can be developed, and it can be applied in many places and can generate exquisite sparks. 

        Recently combined medical and machine learning and participated in two projects as project assistants "Smart Intensive Care Diagnosis and Treatment System and New Model of Cross-hospital Practice", "Cloud Security and Privacy Mechanisms Against Coexistence and Application in Medical Care (3/3)", I hope to be able to It can be developed in the field of smart medical care, and it will be of great help to doctors and patients. At present, the paper is submitted in NCS 2021, "The Application of Deep Learning Model in Prediction of Death Complications of Myocardial Infarction", the model prediction accuracy rate has reached 98%, and submitted in IEEE ECBIOS 2022,"Using deep learning to predict mortality in myocardial infarction patients", hope to be able to deeply cultivate in the AI-integrated industry, use AI-assisted transformation or create auxiliary prediction-related software to help the development of the industry.

        In addition to AI-related projects, I will also start cross-platform APP development in 2022. Although there is no foundation, after a lot of exploration, I have achieved certain results, such as being able to develop native plug-in kits to make up for the lack of cross-platform languages. In the other hand, I also use Low-Power transmissions module includes Lora and NBIOT to compare and create a project for it.