Resume:

Dr. Mingsheng Ma is currently a Full Professor at the SICCAS. He is serving as vice Lab Supervisors for Passive Integrated Devices and Materials Lab. He was selected as the member of Youth Innovation Promotion Association of CAS (2017) and outstanding member (2021), and Shanghai Rising-Star Program (2020). He has authored or co-authored 46 journal and conference papers. He holds 23 China patents, and some of them have been licensed to industries. Dr. Ma is a senior member of China Instrument and Control Society. He is serving as Youth Editor for Journal of inorganic materials, Journal of Advanced Dielectrics, and Instrumentation.

Main research directions:

1. LTCC materials and multilayer devices

2. PTC sensing materials and smart heater devices

3. Integrated sensors and ceramic-based MEMS

Main research achievements

Representative works in recent years (limited to 5):

1.  Mingsheng Ma, Hareem Khan, Wei Shan, Yichao Wang, Jian Zhen Ou, Zhifu Liu, Kourosh Kalantar-zadeh*, Yongxiang Li*, A novel wireless gas sensor based on LTCC technology. Sensors and Actuators B: Chemical, 239 (2017) 711.

2.  Yan Yang, Mingsheng Ma*, Faqiang Zhang, Feng Liu, Guanyu Chen, Zhifu Liu*, Yongxiang Li, Low-Temperature Sintering of Al2O3 ceramics doped with 4CuO-TiO2-2Nb2O5 composite oxide sintering aid. Journal of the European Ceramic Society, 40 (2020) 5504.

3.  Jincheng Qin, Zhifu Liu*, Mingsheng Ma*, Feng Liu, Zeming Qi, Yongxiang Li, Structure and microwave dielectric properties of gillespite-type ACuSi4O10 (A = Ca, Sr, Ba) ceramics and quantitative prediction of Q×f value via machine learning, ACS Applied Materials & Interfaces, 13 (2021) 17817.

4.  Tingting He, Mingsheng Ma*, Haogeng Li, Faqiang Zhang, Feng Liu, Zhifu Liu*, Xiaogan Li*, Integrated Wireless Microfluidic Liquid Sensors Based on Low Temperature Co-Fired Ceramic (LTCC) Technology.？ Sensors & Actuators: A. Physical, 346 (2022) 113840.

5.  Jincheng Qin, Zhifu Liu*, Mingsheng Ma*, Yongxiang Li, Optimizing and extending ion dielectric polarizability database for microwave frequencies using machine learning methods. npj Computational Materials, 9 (2023) 132.