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崔小静

发布时间:2025-07-16 阅读数:

一、个人简介

崔小静,1985年8月出生,山西省洪洞县人,汉族,民主党派,副教授,硕士生导师,博士。2009年于重庆工商大学自动化专业本科毕业,2012年于太原理工大学控制工程专业硕士研究生毕业,2021年于太原理工大学电子科学与技术专业博士研究生毕业。主要研究方向为智能可穿戴传感技术研究,主持山西省基础研究计划青年项目1项、山西省回国留学人员资助项目1项,作为第一/通讯作者发表SCI论文10余篇。

二、研究课题

 1.山西省基础研究计划青年项目,2021年,202103021223258,主持,已结题。

 2.山西省回国留学人员资助项目,2023年,2023-105,主持,在研。

三、代表论文

 (1) Thermoelectric Gel Enabling Self-Powered Facial Perception for Expression Recognition and Health Monitoring, ACS Sensors, 2024.

 (2) Coupling thermogalvanic and piezoresistive effects in a robust hydrogel for Deep-Learning-Assisted Self-Powered sign language and object recognition, Chemical Engineering Journal, 2024.

 (3) Thermogalvanic hydrogel-based e-skin for self-powered on-body dual-modal temperature and strain sensing, Microsystems Nanoengineering, 2024.

 (4) Edible temperature-responsive-adhesive thermogalvanic hydrogel for self-powered multi-sited fatigue monitoring, Journal of Materials Chemistry C, 2024.

 (5) Self-Powered, Non-Toxic, Recyclable Thermogalvanic Hydrogel Sensor for Temperature Monitoring of Edibles, Micromachines, 2023.

 (6) Triboelectric Nanogenerators for Harvesting Diverse Water Kinetic Energy, Micromachines, 2022.

 (7) Transparent stretchable thermogalvanic PVA/gelation hydrogel electrolyte for harnessing solar energy enabled by a binary solvent strategy, Nano Energy, 2022.

 (8) Human body-based self-powered wearable electronics for promoting wound healing driven by biomechanical motions, Nano Energy, 2021.

 (9) A spongy electrode-brush-structured dual-mode triboelectric nanogenerator for harvesting mechanical energy and self-powered trajectory tracking, Nano Energy, 2020.

 (10)Building self-powered emergency electronics based on hybrid nanogenerators for field survival/rescue, Energy Science & Engineering, 2020.

 (11) Electrode-Free Triboelectric Nanogenerator for Harvesting Human Biomechanical Energy and as a Versatile Inartificial Physiological Monitor, Energy Technology, 2019.

 (12) Tube-based triboelectric nanogenerator for self-powered detecting blockage and monitoring air pressure, Nano Energy, 2018.

四、讲授课程

 《数字电子技术》、《电子技术实验》