吳傑生 Email & Phone Number

台灣 臺北市

- Developed and implemented a C++ simulation tool to simulate the trajectory motion of the machinery. - Develop the algorithm for essential metrics, encompassing intersection points, intersection angles, total path distance, and similar parameters.- Build multi-threading and CUDA to accelerate and optimize the simulation program.- Using the deep learning model to optimize the machine parameter to make the material removing rate (MRR) more uniform.- Actively… Show more - Developed and implemented a C++ simulation tool to simulate the trajectory motion of the machinery. - Develop the algorithm for essential metrics, encompassing intersection points, intersection angles, total path distance, and similar parameters.- Build multi-threading and CUDA to accelerate and optimize the simulation program.- Using the deep learning model to optimize the machine parameter to make the material removing rate (MRR) more uniform.- Actively engaged in team collaboration to address intricate technical challenges and enhanced computational efficiency through algorithm optimization. Show less

台灣 臺北市 大安區

- Conducted in-depth research on deep learning and related technologies at MSPL Laboratory, actively exploring innovative solutions.- Served as a key member in the collaboration project with the multinational corporation Ebara, collaborating with an international team to develop solutions, demonstrating outstanding teamwork and communication skills.

台灣 臺北市 台北

- Able to communicate clearly and effectively with students and parents, ensuring that teaching content is understood and accepted.- Possess solid mathematical knowledge and excellent logical thinking skills, capable of solving various mathematical problems.- Skilled in interacting with students of different personalities and learning backgrounds, establishing and maintaining a positive learning atmosphere.

台灣 臺北市

- Developing a algorithm to capture log files of malware behavior at Information Processing and Discovery(iPAD) Lab.

台灣 臺北市 大安區

- Developed and implemented a deep learning model on edge computing devices to recognize whether masks are worn.- Establish an MQTT transmission protocol system to facilitate communication between edge computing devices and various IoT devices.- This project received the 2023 National Science and Technology Council Innovation Award.