何田依依，深圳北理莫斯科大学副教授。博士毕业于新加坡国立大学，并获得新加坡国立大学颁发的微电子研究所奖（Institute of Microelectronics Prize）。研究领域涵盖柔性电子、智能传感、人机交互和能量采集。在相关研究领域发表超过60篇高水平论文，谷歌学术引用量超过6000次，h-index 为42，入选斯坦福大学发布的全球前2%顶尖科学家（2023）。其中以第一作者（及共同一作）身份发表15篇论文，包括Advanced Science、ACS Nano、Applied Physics Reviews、Nano Energy、npj Flexible Electronics等。其中3篇为ESI高引论文，并成功申请了7项专利，其中包括3项国际专利、2项美国专利和2项中国专利。其余论文主要发表于本领域的权威学术期刊，包括Nature Communications、Science Advances、Advanced Science、Advanced Energy Materials、InfoMat、Nano-Micro Letters等，并在传感器领域的世界顶级学术会议MEMS、Transducer和Power MEMS上做过学术报告。

柔性电子，智能传感，人机交互，能量采集

2016年08月至2020年12月, 新加坡国立大学, 微电子技术与器件, 博士

2012年09月至2016年07月, 电子科技大学, 微电子学, 学士

2020年8月-2024年1月, 新加坡国立大学，Research Fellow (博士后)

[1] He, T., Wang, H., Wang, J., Tian, X., Wen, F., Shi, Q., ... & Lee, C. Self‐sustainable wearable textile nano‐energy nano‐system (NENS) for next‐generation healthcare applications. Advanced Science, 6(24), 1901437 (2019).

[2] He, T., Shi, Q., Wang, H., Wen, F., Chen, T., Ouyang, J., & Lee, C. Beyond energy harvesting-multi-functional triboelectric nanosensors on a textile. Nano Energy, 57, 338-352 (2019).

[3] He, T., Sun, Z., Shi, Q., Zhu, M., Anaya, D. V., Xu, M., ... & Lee, C. Self-powered glove-based intuitive interface for diversified control applications in real/cyber space. Nano Energy, 58, 641-651 (2019).

[4] He, T., Wen, F., Yang, Y., Le, X., Liu, W., & Lee, C. Emerging Wearable Chemical Sensors Enabling Advanced Integrated Systems toward Personalized and Preventive Medicine. Analytical Chemistry, 95(1), 490-514 (2023).

[5] Gao, S. *, He, T. *, Zhang, Z., Ao, H., Jiang, H., & Lee, C. A motion capturing and energy harvesting hybridized lower‐limb system for rehabilitation and sports applications. Advanced Science, 8(20), 2101834 (2021).

[6] Guo, X. *, He, T. *, Zhang, Z. *, Luo, A., Wang, F., Ng, E. J., ... & Lee, C. Artificial intelligence-enabled caregiving walking stick powered by ultra-low-frequency human motion. ACS Nano, 15(12), 19054-19069 (2021).

[7] Zhang, Z.*, He, T.*, Zhu, M., Sun, Z., Shi, Q., Zhu, J., ... & Lee, C. (2020). Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications. npj Flexible Electronics, 4(1), 1-12 (2021).

[8] Wang, L.*, He, T.*, Zhang, Z.*, Zhao, L., Lee, C., Luo, G., ... & Jiang, Z. Self-sustained autonomous wireless sensing based on a hybridized TENG and PEG vibration mechanism. Nano Energy, 80, 105555 (2021).

[9] Wen, F.*, Wang, H.*, He, T.*, Shi, Q., Sun, Z., Zhu, M., ... & Lee, C. Battery-free short-range self-powered wireless sensor network (SS-WSN) using TENG based direct sensory transmission (TDST) mechanism. Nano Energy, 67, 104266 (2020).

[10] Zhu, M.*, He, T. *, & Lee, C. Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems. Applied Physics Reviews, 7(3), 031305 (2020).

[11] He, T., & Lee, C. Evolving flexible sensors, wearable and implantable technologies towards BodyNET for advanced healthcare and reinforced life quality. IEEE Open Journal of Circuits and Systems, 2, 702-720 (2021).

[12] He, T., Guo, X., & Lee, C. Flourishing energy harvesters for future body sensor network: from single to multiple energy sources. Iscience, 101934 (2020).

[13] Chen, J., He, T. , Dun, Z., & Lee, C. Review of textile-based wearable electronics: from the structure of the multi-level hierarchy textiles, Nano Energy, 117, 108898, (2023).

[14] Bai, Z., He, T., Zhang, Z., Xu, Y., Zhang, Z., Shi, Q., ... & Lee, C. Constructing highly tribopositive elastic yarn through interfacial design and assembly for efficient energy harvesting and human-interactive sensing. Nano Energy, 94, 106956 (2022).

[15] Wen, F., Zhang, Z., He, T., & Lee, C. AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove. Nature Communications, 12(1), 5378 (2021).

[16] Shi, Q., Zhang, Z., He, T., Sun, Z., Wang, B., Feng, Y., ... & Lee, C. Deep learning enabled smart mats as a scalable floor monitoring system. Nature Communications, 11(1), 1-11 (2020).

[17] Wen, F., Sun, Z., He, T., Shi, Q., Zhu, M., Zhang, Z., ... & Lee, C. Machine Learning Glove Using Self‐Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications. Advanced Science, 2000261(2020).

[18] Anaya, D. V., He, T., Lee, C., & Yuce, M. R. Self-powered eye motion sensor based on triboelectric interaction and near-field electrostatic induction for wearable assistive technologies. Nano Energy, 72, 104675 (2020).

[19] Wen, F., He, T., Liu, H., Chen, H. Y., Zhang, T., & Lee, C. Advances in chemical sensing technology for enabling the next-generation self-sustainable integrated wearable system in the IoT era. Nano Energy, 105155 (2020).

[20] Shi, Q., He, T., & Lee, C. More than energy harvesting–Combining triboelectric nanogenerator and flexible electronics technology for enabling novel micro-/nano-systems. Nano Energy, 57, 851-871 (2019).

*共同一作

1. PCT/SG2019/050518 Method for forming a sensory textile and a sensory textile device, WIPO, Published: 23.04.2020, National University of Singapore, HE Tianyiyi, LEE Chengkuo, SHI Qiongfeng, WANG Hao, ZHU Minglu.

2. US20210380821 Method for forming a sensory textile and a sensory textile device, 美国, Published: 09.12.2021, National University of Singapore, HE Tianyiyi, LEE Chengkuo, SHI Qiongfeng, WANG Hao, ZHU Minglu.

3. PCT/SG2020/050446 Fabric Triboelectric Nanogenerator, WIPO, Published: 03.08.2020, National University of Singapore, WANG Hao, LEE Chengkuo, HE Tianyiyi.

4. US20220255465 Fabric Triboelectric Nanogenerator, 美国, Published: 11.08.2022, National University of Singapore, WANG Hao, LEE Chengkuo, HE Tianyiyi.

5. PCT/DG2022/050609 Sensory Glove System And Method For Sign Gesture Sentence Recognition, WIPO, Published: 09.03.2023, National University of Singapore. WEN Feng, ZHANG Zixuan, HE Tianyiyi, LEE Chengkuo.