Congratulations to AMIS Members for Receiving the National Scholarship！

Recently, the 2021 National Scholarship winners have been announced. AMIS lab members, Junzhen Wang, Lingchun Yan, and Shaopeng Jiang were recognized by this honor. Congratulations to all three students!

Junzhen Wang is a 5th year PhD student in AMIS Lab. Since entering the laboratory, he has devoted himself to scientific research. He has published top-tier journal papers in Mechanical Systems and Signal Processing, Nonlinear Dynamics and Smart Materials and Structures. He has served as the secretary of the second student Party Branch and laboratory safety manager. As the secretary of the Party Branch, he organized and coordinated the activities of the branch; as the senior member of the laboratory, he is always ready to help the junior members solve the research problems; as the laboratory safety manager, he actively cooperated with the safety construction of the college laboratories. 

Lingchun Yan is a junior student majored in mechanical engineering. She is conducting research on ultrasonic inspection of metallic machining tools as a research assistant in AMIS Lab. She ranks FIRST in her major, and is currently the class commissary in charge of studies, as well as the teaching assistant of the course Dynamics and Introduction into Vibration (VM240). She served as the leader of “JIer Interview Group”, and a volunteer in “Chunlin Action” of SJTU. Besides, she has won the first prize in VEX Asia Open 2021 and several scholarships, such as John Wu & Jane Sun Excellent Scholarship and SJTU A-level Excellent Scholarship for undergraduate students. 

Shaopeng Jiang, a senior student majored in mechanical engineering. He is the awardee of Chinese National Scholarship for Undergraduate Students, UM-SJTU JI 2020 Outstanding Teaching Assistant Award, SJTU Undergraduate Excellent Scholarship, UMJI-SJTU John Wu and Jane Sun Excellence Scholarship. In the spring semester of his sophomore year, he joined AMIS Lab for scientific research. He played a wide spectrum of roles in multiple projects. He developed comprehensive experience of flexible printed circuit design, research and development of piezoelectric sensor, as well as the development of machine learning algorithms.