个人简介
朱建雄，工学博士，副教授，硕导/博导。获得东南大学紫金青年学者(2022)、小米青年学者（2023）、省双创博士(2021)、省科技副总等荣誉称号；获得2021教育部“春晖杯”优胜奖、2022中国创造学会创造成果一等奖等；主持教育部、国自然面上、长三角联合科技攻关、省面上、国重实验室纵横向项目等20余项；围绕发表第一/通讯SCI文章80余篇；单篇影响因子大于10的有25篇发表在Nature Communications、Science Bulletin、Matter、Materials Today、ACS Nano、Advanced Science、AFM等；5篇SCI文章被评为封面文章及ESI高被引；出版英文专著2章节；授权/申请中国、韩国、新加坡专利20项。被选为Nanomaterials(IF:5.03)的客座编辑，materials(IF:3.6)专题编委，被选为无人系统技术，纺织学报，天然气工业等青年编委；作为执行主席主办国际会议(ASSM2022)、多次担任国际会议副主席(EMET 2022、NEFES 2022)、分会主席(NEFES 2021等)、TPC等。
每年计划招收博士后1名，博士生1-2名，硕士生2-3名， 欢迎对AI+感知、气体感知、运动感知、光电子等方向感兴趣的同学联系 ，加入课题组。
学习经历
2010-2015 ，博士，机械与航空航天工程，美国密苏里大学哥伦比亚
2007-2010 ，硕士，安全科学及工程，中国科学技术大学
工作经历
2020- 今，东南大学，机械工程学院 , 副教授
2019-2021 ，新加坡国立大学 , 博士后研究员
2017-2019 ，韩国高等科学技术院 (KAIST), 博士后研究员
2015-2017, 中科院 北京纳米能源与系统研究所 , 助理研究员
教授课程
机械工程测试与控制(1)
机械工程测试与控制(2)
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
[1]. J. X. Zhu* , S. Ji, Z. Ren, W. Wu, Z. Zhang, Z. Ni, L. Liu, Z. Zhang, A. Song*, C. Lee*. Triboelectric-induced ion mobility for artificial intelligence-enhanced mid-infrared gas spectroscopy. Nature Communications. 14 (2023):2524.
[2].H. Zhang# J. Hong#, J. X. Zhu# , S. Duan, M. Xia, J. Chen, B. Sun, M. Xi, F. Gao, Y. Xiao, Y. Chen, J. Li, L. Li, Z.Liu, F. Zhao, B. Cai, Y. Zhan, X. Xie, Q. Shi,*, J. Wu,* C. Lee*. Humanoid electronic-skin technology for the era of artificial intelligence of things (AIoT). Matter. 2025, 50, 428-438. (Shared-First)
[3]. J. X. Zhu#* , B. Sun#, M. Xi, Y. Zhan, B. Zhang, Y. Zhu,* Flexible electronics in humanoid five senses for the era of artificial intelligence of things (AIoT). Materials Today. 2025, doi.org/10.1016/j.mattod.2025.07.008
[4 ] . J. X. Zhu *, Y. Yang, H. Zhang, Z. Zhao, T. Hu*,L. Liu*, More than Energy Harvesting in Electret Electronics-Moving towardNext-generation Functional System. Advanced Functional Materials. 2023,2214859.
[5]. S. Ji, J. X. Zhu *, Z. Lyv, H. You, Y. Zhou, L.Gu, J. Qu, Z. Xia, Z. Zhang*, H. Dai* Deep learning enhanced lithium-ionbattery nonlinear fading prognosis. Journal of Energy Chemistry, 2023, 78,565-573.
[6]. J. X. Zhu *, H. Wen, H. Zhang, P. Huang*, L.Liu*, H. Hu. Recent advances in biodegradable electronics- from fundament tothe next-generation multi-functional, medical and environmental device.Sustainable Materials and Technologies, 35 (2023), e00530.
[7]. J. X. Zhu , S. Ji, J. Yu, H. Shao, H. Wen, H.Zhang, Z. Xia, Z. Zhang, C. Lee. Machine learning-augmented wearabletriboelectric human-machine interface in motion identification and virtualreality, Nano Energy, 103 (2022) 107766.
[8]. J. X. Zhu , Z. Ren, C. Lee. Toward HealthcareDiagnoses by Machine Learning-Enabled Volatile Organic Compound Identification.ACS Nano, 2021, 15, 1, 894–903.
[9]. J. X. Zhu , H. Wang, Z. Zhang, Z. Ren, Q. Shi, W.Liu, C. Lee. Continuous direct current by charge transportation fornext-generation IoT and real-time virtual reality applications. Nano Energy,73, 104760, 2020.
[10]. J. X. Zhu #, M. Cho#, Y. Li, T. He, J. Ahn, J.Park, T. Ren, C. Lee*, I. Park,* Machine learning-enabled textile-basedgraphene gas sensing with energy harvesting-assisted IoT application, NanoEnergy, 86(2021), 106035.
[11]. J. X. Zhu , M. Zhu, Q. Shi, W. Feng, L. Long, B.Dong, A. Haroun, Y. Yang, P. Vachon, X. Guo, T. He, C. Lee. Progress in TENGtechnology – a journey from energy harvesting to nanoenergy and nanosystem(NENS). Ecomat. 2: e12058. 1-45, 2020 (Wiley). Inside Cover.
[12].H. Wang*, J. X. Zhu *, T. He, Z. Zhang, C. Lee,Programmed-triboelectric nanogenerators — A multi-switch regulation methodology for energymanipulation. Nano Energy. 78 (2020) 105241 ( 共一 ).
[13]. S. Ji, J. X. Zhu* , Z. Zhang*, Z. Xia. Degradation Prognosis for Fast-Charging Batteries via Improved Domain Adaptation, IEEE Transactions on Industrial Informatics. 2025, 2, 21.
[14].S. Ji, Z. Zhang, Helge S. Stein, J. X. Zhu* , Flexible health prognosis of battery nonlinear aging using temporal transfer learning. Applied Energy. 377(2025), 124766.
[15].S. Ji, J. X. Zhu* , Y. Yang, G. Reis, Z. Zhang*, Data-driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects. Small Method. 2024, 2301021
[16]. J. X. Zhu#* , Y. Zhan,#, X. Ni, Y. Gao, B. Sun. Artificial intelligence of things (AIoT) in hydrogen sensing: towards optic and intelligent system. Research. 2025, DOI: 10.34133/research.0750.
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