姓名

魏熹

职称

副教授

所属系

生物医学工程系

邮箱

wxi@hfut.edu.cn

电话

个人简历

魏熹，博士，副教授，硕士生导师。

本人于2018年初获得美国纽约大学生物医学工程博士学位，期间荣获“全球学者”博士奖学金。同年，在瑞典皇家理工学院电子与计算机学院（智能微纳技术系）完成博士后研究，并获得瑞典“玛丽·居里学者”国家级个人项目资助。2019年至2024年，任中国科学技术大学特任副研究员，入选安徽省高层次青年人才计划。2025年初加入合肥工业大学，获聘“黄山学者学术骨干”。

本人研究方向主要聚焦于片上实验室、可穿戴装备和软体机器人，具体涵盖以下三个方面：

1. 1.微型与可穿戴器件：利用微纳加工、3D 打印等先进制造技术，设计和构建微型、便携式及可穿戴式器件，用于模拟复杂环境下的多因素交互，探索相关机理，并实现目标物的分析与检测。

2. 2.柔性与仿生机器人：研究不同尺度、维度和材质的柔性机器人，开发新型驱动与控制策略，推动其在具身智能及相关领域的应用。

3. 3.交叉新技术探索：探索与上述方向互补的新技术，如用于智能感知的电子皮肤、动作监测手套、超灵敏生化传感器等。

截至目前，本人已在Nature Physics、Device、ACS Sensors、Analytical Chemistry等国际知名期刊和会议发表论文及专利20余篇，并主持或参与多项国家级、省级科技创新项目（包括国家自然科学基金青年项目（主持）、省自然科学基金青年项目（主持）、绍兴市“揭榜挂帅”专项（主持）等）。

本课题组长期与国内外知名研究团队保持紧密合作，依托先进仪器和跨学科融合特色，持续探索创新装备技术的发展。

招生信息

欢迎对片上实验室、可穿戴设备、软体机器人等方向感兴趣的同学加入课题组！

📌研究生招生：诚邀具有不同学科背景的学生报考，无需完美匹配专业背景，但请具备强烈的好奇心和不懈的科学探索精神。

📌本科生科研实践：鼓励本科生提前进入实验室学习，参与科研探索。

🔹如果你对相关研究感兴趣，请将个人简历发送至 📧wxi@hfut.edu.cn。

期待你的加入，一起探索未来的无限可能！

研究领域

片上实验室；可穿戴装备；软体机器人；电子皮肤；智能感知

开设课程

科研项目

1. 国家自然科学基金委员会，重点项目，22434004，延迟化学发光及其在智能传感中的应用, 2025-01-01至2029-12-31, 230万元, 在研, 参与。

2. 国家自然科学基金委员会，青年科学基金项目，22204156，高密度装载细胞微囊的构造新方法、生物活性及其功能研究, 2023-01-01至2025-12-31, 30万元, 在研, 主持。

3. 中国科学技术大学，青年创新基金项目，2022年度，基于双极电极电致发光的非酶类可穿戴汗糖检测芯片的设计、制备和应用，2023-01-01至2024-12-31，20万元，结题, 主持。

4. 中华人民共和国科学技术部, 科技创新2030-“新一代人工智能”重大项目，2021ZD0110400，全面支持国家AI标准体系的深度学习开源框架项目, 2021-12至2024-12, 15000万元, 结题, 参与

5. 安徽省自然科学基金，青年项目, 2208085QF186，自数字化装载微囊及其在纳米物联网体内探测中的应用, 2022-01至2023-12, 10万元，结题，主持

6. 绍兴市科技局, 揭榜挂帅专项，2021B4101，全自动高通量离心式微流控凝血检测系统研究及产业化，2021-01至2022-12, 250万元，结题，主持

7. 瑞典国家创新局，玛丽居里学者项目(Marie-Sklodowska-Curie Actions Individual Fellowship)，2019-02182, CellsforLife: cell microencapsulation based localized chemotherapy for treating pancreatic cancer, 2019-06至2021-06, 147万元，结题，主持

发表论文

期刊：

1. Z. Wang, N. M. Freris, & X. Wei, SpiRobs: Logarithmic Spiral-shaped Robots for Versatile Grasping across Scales. Device, 2024, 100646.

2. W. Nie, Y. Wang, C. Hu, X. Wei & H. Cui, (2024). In situ Growth of L012-reduced Gold Nanoparticles-loaded Graphitic Carbon Nitride Nanocomposite for Potential-resolved Ratiometric Electrochemiluminescence Analysis. Anal. Chim. Acta, 2024, 1332 (343379).

3. R. Myrzashova, S. H. Alsamhi, A. Hawbani, E. Curry, M. Guizani and X. Wei, Safeguarding Patient Data-Sharing: Blockchain-Enabled Federated Learning in Medical Diagnostics, IEEE Trans. Sustain. Comput., 2024, doi: 10.1109/TSUSC.2024.3409329.

4. S. H. Alsamhi, R. Myrzashova, A. Hawbani, S. Kumar, S. Srivastava, L. Zhao, X. Wei, M. Guizan and E. Curry, Federated Learning Meets Blockchain in Decentralized Data-sharing: Healthcare Use Case, IEEE Internet Things J., 2024, 11(11), 19602–19615.

5. M. Deng, F. Fan and X. Wei, Learning-Based Object Recognition via a Eutectogel Electronic Skin Enabled Soft Robotic Gripper, IEEE Robot. Autom. Lett., 2023, 8, 7424–7431.

6. W. Nie, R. Zhang, C. Hu, T. Jin, X. Wei and H. Cui, A Self-enhanced Electrochemiluminescence Array Chip for Portable Label-free Detection of SARS-CoV-2 Nucleocapsid Protein with Smartphone, Biosens. Bioelectron., 2023, 240, 115662.

7. Y. Yu, W. Nie, K. Chu, X. Wei and Z. J. Smith, Highly Sensitive, Portable Detection System for Multiplex Chemiluminescence Analysis, Anal. Chem., 2023, 95, 14762–14769.

8. R. Myrzashova, S. H. Alsamhi, A. V. Shvetsov, A. Hawbani and X. Wei, Blockchain Meets Federated Learning in Healthcare: A Systematic Review with Challenges and Opportunities, IEEE Internet Things J., 2023, 10, 14418–14437.

9. Y. Yu, F. Fan, Z. J. Smith and X. Wei, Microfluidic Paper-Based Preconcentration and Retrieval for Rapid Ribonucleic Acid Biomarker Detection and Visualization, Anal. Chem., 2022, 94, 10764–10772.

10. H. Yasuga, E. Iseri, X. Wei, K. Kaya, G. Di Dio, T. Osaki, K. Kamiya, P. Nikolakopoulou, S. Buchmann, J. Sundin, S. Bagheri, S. Takeuchi, A. Herland, N. Miki and W. van der Wijngaart, Fluid Interfacial Energy Drives the Emergence of Three-dimensional Periodic Structures in Micropillar Scaffolds, Nat. Phys., 2021, 17, 794–800.

11. J. Kim, S. Sahloul, A. Orozaliev, V. Q. Do, V. S. Pham, D. Martins, X. Wei, R. Levicky and Y.-A Song, Microfluidic Electrokinetic Preconcentration Chips: Enhancing the Detection of Nucleic Acids and Exosomes, IEEE Nanotechnol. Mag., 2020, 14, 18–34.

12. L. S. Cheung, X. Wei, D. Martins and Y.-A. Song, Rapid Detection of Exosomal Microrna Biomarkers by Electrokinetic Concentration for Liquid Biopsy on Chip, Biomicrofluidics, 2018, 12, 014104.

13. X. Wei, V. Q. Do, S. V. Pham, D. Martins and Y.-A. Song, A Multiwell-Based Detection Platform with Integrated PDMS Concentrators for Rapid Multiplexed Enzymatic Assays, Sci. Rep., 2018, 8, 10772.

14. X. Wei, P. Panindre, Q. Zhang and Y.-A. Song, Increasing the Detection Sensitivity for DNA-Morpholino Hybridization in Sub-Nanomolar Regime by Enhancing the Surface Ion Conductance of PEDOT:PSS Membrane in a Microchannel, ACS Sens., 2016, 1, 862–865.

15. D. Martins, X. Wei, R. Levicky and Y.-A. Song, Integration of Multiplexed Microfluidic Electrokinetic Concentrators with a Morpholino Microarray via Reversible Surface Bonding for Enhanced DNA Hybridization, Anal. Chem., 2016, 88, 3539–47.

16. X. Wei, A. Syed, P. Mao, J. Han and Y.-A. Song, Creating Sub-50 nm Nanofluidic Junctions in PDMS Microfluidic Chip via Self-Assembly Process of Colloidal Particles, J. Vis. Exp., 2016, e54145.

17. J. A. Delben, R. M. Murata, X. Wei, M. L. Castro, W. G. Assuncao, N. R. F. A. da Silva and S. Duarte, Low-Temperature Plasma: An Effective Approach against Candida Albicans Biofilm, Plasma Med., 2014, 4, 231–244.

18. X. Wei, S. Pushalkar, C. Estilo, C. Wong, A. Farooki, M. Fornier, G. Bohle, J. Huryn, Y. Li, S. Doty and D. Saxena, Molecular Profiling of Oral Microbiota in Jawbone Samples of Bisphosphonate-Related Osteonecrosis of the Jaw, Oral Dis., 2012, 18, 602–612.

会议：

1. M. Deng, F. Fan and X. Wei, Learning-Based Object Recognition via a Eutectogel Electronic Skin Enabled Soft Robotic Gripper, International Conference on Robotics and Automation，Yokohama，Japan，2024-05-13至2024-05-17

2. X. Wei, Y.-A. Song, ISAAC-X:An Integrated System for Accelerating Concentrators, The 21st International Conference on Miniaturized Systems for Sciences (MicroTAS), Savannah, Georgia, 2017-10-22至2017-10-26

3. X. Wei, Y.-A. Song, A Multi-well Based Detection Platform with Integrated PDMS Concentrators for Rapid Multiplexed Enzymatic Assays, The 21st International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS), Savannah, Georgia, 2017-10- 22至2017-10-26

4. X. Wei, Q. Zhang, Y.-A Song, Increasing the Detection Sensitivity for DNA-Morpholino Hybridization in Sub-Nanomolar Regime by Enhancing the Surface Ion Conductance of PEDOT:PSS Membrane in a Microchannel, The 20th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS), Dublin, 2016-10-9至2016-10-13

5. D. Martins, X. Wei, R. Levicky, Yong-Ak Song, Accelerating the Mass Transport of DNA Biomolecules onto DNA Microarray for Enhanced Detection by Electrokinetic Concentration in a Microfluidic Chip, ASME 2016 5th International Conference on Micro/Nanoscale Heat and Mass Transfer (MNHMT), Biopolis, 2016-1-4至2016-1-6

专著教材

授权专利

魏熹，于艳，扎克，纸基微流控芯片及其应用，2024-2-9，中国，ZL 2022 1 0651366.X (发明专利)

获奖成果

1. 安徽省高层次青年人才计划，2019

2. 中国科学技术大学新创学者奖，2019

3. X. Wei (1/1); Postdoctoral scholarship, 瑞典儿童癌症协会 (Barncancerfonden: The Swedish Childhood Cancer Foundation),

4. X. Wei (1/1); Seal of Excellence, CellsforLife: Cell Micro-encapsulation Based Localized Chemotherapy for Treating Pancreatic Cancer, 欧洲联盟委员会

5. X. Wei (2/4); Best Paper Award in ASME 2016 5th International Conference on Micro/Nanoscale Heat and Mass Transfer (MNHMT), ASME 2016 5th International Conference, 最佳论文奖