戴可人
  • 出生年月:1991年10月
  • 民 族: 汉族
  • 政治面貌: 中国共产党党员
  • 最后学历: 博士研究生
  • 最后学位: 工学博士
  • 技术职称: 研究员
  • 导师类别: 硕士生导师
  • 邮箱:dkr@njust.edu.cn
访问次数 26234 次
更新日期 2024年9月11日
指导学科
  • 主学科
  • 二级学科
  • 研究方向
  • 跨学科
  • 二级学科
  • 研究方向
  • 专业学位
  • 研究方向
招生意向

招收机械工程学硕、专硕

工作经历

2024.7-至今,南京理工大学机械工程学院,研究员、硕士生导师

2021.7-2024.7,南京理工大学机械工程学院,副研究员、硕士生导师(其中2021.6-2022.6,成均馆大学, Visiting Professor

2018.10-2021.6,南京理工大学机械工程学院,助理研究员

教育经历

2014.8-2018.10,清华大学精密仪器系,博士研究生,师从尤政院士

2010.8-2014.7,清华大学精密仪器系,本科

获奖、荣誉称号

南京理工大学“紫金青年学者”(2024)

第九届中国科协青年人才托举工程(2023)

江苏省“双创博士”(2019)

社会、学会及学术兼职

IEEE Senior Member、中国仪器仪表学会、中国微米纳米技术学会高级会员

Green Energy and Intelligent TransportationNanotechnology and Precision Engineering等期刊青年编委

担任Guest Editor, 在SCI期刊Sensors开办Integtation of Sensing and Energy Supply专刊

Advanced Functional Materials、Nano Energy、Applied Energy等中科院一区期刊审稿人

科研项目

自2019年以来,主持国家自然科学基金青年基金,其他国家级、省部级基金3项

发表论文

至2024年9月,累计发表SCI/EI论文80余篇,总计引用次数2100余次,详见谷歌学术个人主页

代表性论文(#为共同一作,*为通讯作者)

1. Ma X, Zhang S, Tang T, Yu D, Wang X, Zhang H, Ding L*, Dai K*. A lightweight high-impact acceleration state reconstruction method for multibody dynamic systems by an extended Kalman filter-aided time neural network[J]. IEEE Sensors Journal, 2024 (early access).

2. Huang J, Liu P, Wang Y, Dai K*, Dou Q*, Yin Y, Wang X*, You Z. Double-kill contribution of high-roughness high-density porous carbon electrodes to mechanically self-sensing supercapacitors[J]. Nano Research, 2024, 17(7):  6157-6167.

3. Yu D, Yang B, Yan K, Li C*, Ma X, Han X, Zhang H, Dai K*. Dynamic transfer model and applications of a penetrating projectile‐fuze multibody system[J]. International Journal of Mechanical System Dynamics, 2023, 3(4): 360-372.

4. Zhu Z#, Wang Z#, Dai K*, Wang X, Zhang H, Zhang W*. An adaptive and space-energy efficiency vibration absorber system using a self-sensing and tunable magnetorheological elastomer[J]. Nano Energy, 2023, 117: 108927

5. Dai K#, Huo Z Y#, Miao X, Xiong P, Zhang H, Wang X, You Z*, Kim S W*. Self-powered triboelectric functional devices and microsystems in health-care applications: an energy perspective[J]. EnergyChem, 2023, 5(6): 100109.

6. Ma X, Shi H, Miao X, Li Q, Wang X, Ding L, Zhang H*, Dai K*. Multiple dynamic impact signal identification method based on lightweight neural network with acceleration sensor[J]. IEEE Sensors Journal, 2023, 23(15): 17289 - 17300.

7. Chen Z, Dai K*, Chen J, Zhao J, Zhao D, Ma R, Zhang X, Li X, Wang X*, Yang G, Yi F*. Influence of the Reference Electrode on the Performance of Single‐Electrode Triboelectric Nanogenerators and the Optimization Strategies[J]. Advanced Science, 2023, 10(17): 2206950.

8. Huang J, Dai K*, Yin Y, Chen Z, Wang X*, You Z. Generalized modeling and experimental research on the transient response of supercapacitors under compressive mechanical loads[J]. Nano Research, 2023, 16: 6859–6869.

9. Dai K, Miao X, Zhang W, Huang X*, Zhang H, Kim S W*. Robust Displacement Sensing by Direct‐Current Triboelectric Nanogenerator Via Intelligent Waveform Recognition[J]. Advanced Science, 2023, 10(4): 2204694.

10. Qi N, Dai K*, Wang X*, You Z. Optimization for piezoelectric energy harvesters with self-coupled structure: A double kill in bandwidth and power[J]. Nano Energy, 2022, 102: 107602

11. Dai K, Zhu Z, Jin H, Ma X, Duan W, Wang J, Zhang W*. Bionic Soft Multimodal Actuators for Fast, Large Deformation under Ultralow Magnetic Conditions[J]. Advanced Materials Interfaces, 2022, 9(17): 2200351.(封底文章

12. Qi N, Dai K*, Wang X*, You Z. Adaptive Capacitor Charging Circuit With Simplified Configuration for Efficient Piezoelectric Energy Harvesting[J]. IEEE Transactions on Power Electronics, 2022, 37(9): 10267-10280.

13. Dai K#, Liu D#, Yin Y, Wang X*, Wang J*, You Z, Zhang H, Wang Z L. Transient physical modeling and comprehensive optimal design of air-breakdown direct-current triboelectric nanogenerators[J]. Nano Energy, 2022, 92: 106742.

14. Liu X, Qi N, Dai K*, Yin Y, Zhao J, Wang X*, You Z. Sponge Supercapacitor rule-based energy management strategy for wireless sensor nodes optimized by using dynamic programing algorithm[J]. Energy, 2022, 239: 122368.

15. Yu D, Ren D, Dai K*, Zhang H*, Zhang J, Yang B, Ma S, Wang X, You Z*. Failure mechanism and predictive model of lithium-ion batteries under extremely high transient impact[J]. Journal of Energy Storage, 2021, 43: 103191.

16. Qi N#, Yin Y#, Dai K*, Wu C, Wang X*, You Z. Comprehensive optimized hybrid energy storage system for long-life solar-powered wireless sensor network nodes[J]. Applied Energy, 2021, 290: 116780.

17. Zhang C#, Dai K#, Liu D, Yi F*, Wang X*, Zhu L, You Z. Ultralow Quiescent Power‐Consumption Wake‐Up Technology Based on the Bionic Triboelectric Nanogenerator[J]. Advanced Science, 2020, 7(12): 2000254.

18. Li Q#*, Dai K#, Zhang Y, Zhang H. Integrated waveform for a joint radar-communication system with high-speed transmission[J]. IEEE Wireless Communications Letters, 2019, 8(4): 1208-1211.

19. Zhang Y, Li Q*, Huang L, Dai K*, Song J. Optimal design of cascade LDPC-CPM system based on bionic swarm optimization algorithm[J]. IEEE Transactions on Broadcasting, 2018, 64(3): 762-770.

20. Dai K, Wang X*, Yi F, Jiang C, Li R, You Z*. Triboelectric nanogenerators as self-powered acceleration sensor under high-g impact[J]. Nano Energy, 2018, 45: 84-93.

21. Dai K, Wang X*, Yi F, Yin Y, Jiang C, Niu S, Li Q, You Z*. Discharge voltage behavior of electric double-layer capacitors during high-g impact and their application to autonomously sensing high-g accelerometers[J]. Nano Research, 2018, 11(2): 1146-1156.

22. Yi F#, Ren H#, Dai K#, Wang X, Han Y, Wang K, Li K, Guan B, Wang J, Tang M, Shang J, Yang H, Zheng M, You Z, Wei D*, Liu Z*. Solar thermal-driven capacitance enhancement of supercapacitors[J]. Energy & Environmental Science, 2018, 11(8): 2016-2024.

23. Dai K, Wang X*, Niu S*, Yi F, Yin Y, Chen L, Zhang Y, You Z*. Simulation and structure optimization of triboelectric nanogenerators considering the effects of parasitic capacitance[J]. Nano Research, 2017, 10(1): 157-171.

科研创新

授权发明专利12项

指导学生情况

现指导硕士生7名,协助指导博士生3名、硕士生2名

协助指导的博士生马翔获得2023年研究生国家奖学金

我的团队

隶属于张合教授团队,学术资源丰富

与清华大学尤政院士智能微系统团队、韩国延世大学Sang-Woo Kim院士团队长期合作