Profile of Christy Liang, a gifted teacher in the Department of Electronic Engineering

In the student group, no matter from the delicate appearance or the youthful and energetic body language, if you don't know what to say, you will think that Prof. Christy Liang is a young student on the Feng Chia campus, and there is no sense of disobedience; no one knows that Prof. Liang is already paying for electricity She has been teaching in the Department of Electronics of the college for nearly three years and has produced 7 to 8 papers a year. She is a young scholar with full combat capability.

The youngest teacher in the Department ofElectronic Engineering, Prof. Liang.

Prof. Leung graduated from the University of Malaya. She received her Ph.D. in Computer Science and Information Technology at the age of 26. He was the youngest PhD graduate of the school. Since Mr. Liang himself likes Taiwan very much, he has come to Taiwan for free travel every year since about 10 years ago. After graduation, he has tried to work in the industry. Compared with the regular white-collar work of 9 to 5, Mr. Liang prefers free teaching. And research. So when Fengjia offered a teacher's job, Teacher Liang flew in without hesitation.

Prof. Liang's current research focuses on Facial Micro-Expression Recognition. The topics for graduates guided this academic year are mostly extended from this aspect, including: "Smart Face Recognition Logistics Delivery Self-Propelled Vehicles", which is a set of encrypted objects delivered to the destination through.

「智能人臉辨識物流配送自走車」專題，為本校與鈦思科合作之成果。

"Smart self-propelled car with shoe recognition and analysis function" uses deep learning and image recognition to recommend customers and reduce human resources. This system uses visual technology to identify the shoes worn by the customer, and through the identification, it can recommend related types that the customer may like, so as to achieve the concept of an automated process.

「鞋類辨識與分析功能之智慧型自走車」專題，為本校與鈦思科合作之成果。

The "Intelligent Face Real-time Medical Treatment System" mainly uses digital technology to optimize the hospital's resource allocation and improve process efficiency. This system uses visual technology to identify the identity of the patient, realizes the function of allowing the patient to automatically receive medicine and patrol the ward.

「智慧化人臉即時醫療處理系統」專題，為本校與鈦思科合作之成果。

Prof. Liang who likes to write programs, in addition to the interaction with classmates and brainstorming, Prof. Liang also participated in some cross-disciplinary projects in the school, such as cooperation with teachers Yuan Changan and Wang Kunqing from the School of Engineering and Science, using AI-AOI technology Develop a set of automatic optical inspection equipment, which uses deep learning as the technical base of machine vision, and detects product defects with sensor originals. In addition, in collaboration with Prof. Sheng Yuting of RoSoCoop (Digital Manufacturing Cooperative), it is expected to combine AI visual object recognition with robotic arms to conduct a stacking study of smart object selection and clamping. This plan will use smart digital integration with the construction industry to achieve "smart upgrades" through artificial intelligence technology, big data and cloud computing. With the goal of building automation, it can significantly reduce unnecessary procedures and reduce labor costs.

The students got along with this sister teacher-Teacher Liang (3rd from the right), teachers and friends, full of admiration in their hearts.

The research itself is fascinating. Even though it takes more time and energy than the nine-to-five work, it even takes more time and energy to make people forget about sleep and food. But when Prof. Liang talked about the research, she said that there are many things that can be researched. ! Let us look forward to the future results of Feng Chia Super Female Warrior!