Niu Pingjuan
Professor and Doctor
Tel.: +86-13821536307
E-mail: niupingjuan@tiangong.edu.cn
Introduction
Executive Dean of the School of Electronics & Information Engineering, Tiangong University; Director of the Ministry of Education Engineering Research Center for High-Power Semiconductor Lighting Application Systems; Director of Tianjin Semiconductor Lighting Technology Engineering Center.
Director of the Semiconductor Light Source System Special Committee of the China Electrotechnical Society; Deputy Secretary-General of the China Solid State Lighting Alliance (CSA); Executive Deputy Director of China Advanced Semiconductor Industry Innovation Alliance (CASA) of Coordinated Development of the Beijing-Tianjin-Hebei Region Committee.
Talent of Scientific and Technological Innovation and Enterprising of the Ministry of Science and Technology, First Level Candidate for the Tianjin "131" Innovative Talent Training Project, Head of the Tianjin "131" Innovative Talent Team, and Leading Talent in Tianjin University Disciplines.
Research areas
Research Direction 1: New semiconductor optoelectronic devices and integration
Research Direction 2: Power electronic device technology
Research Direction 3: Intelligent sensors and system integration
Main courses taught
Professional Introduction / Optoelectronic Devices and Integration / Engineering Design and Management
Main publications
Modeling and nonlinear dynamic analysis of angular velocity system of 2-DOF aerial manipulator[J]. Applied Mathematical Modelling. 2023.
Model-free controls of manipulator quadrotor UAV under grasping operation and environmental disturbance[J]. International Journal of Control Automation and Systems. 2022.
Maximum cross-correlated kurtosis based unsaturated stochastic resonance and its application to bearing fault diagnosis[J]. Chinese Journal of Physics. 2021.
Highly precise measurement of depth for μLED based on single camera [J]. Measurement. 2021.
Early diagnosis of bearing faults using decomposition and reconstruction stochastic resonance system[J]. Measurement. 2020.
An adaptive empirical mode decomposition and stochastic resonance system in high efficient detection of Terahertz radar signal[J]. Ferroelectrics. 2020.
