Shangshang Wu | Engineering | Best Researcher Award

Dr. Shangshang Wu | Engineering | Best Researcher Award

Tianjin university | China

Wu Shangshang is a mechanical engineer pursuing her Ph.D. at the School of Mechanical Engineering, Tianjin University in China, where she also completed her B.S. and M.S. in Mechanical Engineering. Her research focuses on underwater gliders, emphasizing hydrodynamic identification, motion behavior analysis, and front-end data processing for acoustic communication. Since her master’s studies, she has worked as a graduate researcher, contributing to both experimental sea trials and theoretical modeling, and has published journal articles and conference papers in marine robotics, acoustics, and signal processing. Wu’s doctoral work advances model-based and data-driven methods to improve hydrodynamic prediction and control under uncertain underwater conditions, supporting the development of reliable seabed vehicles and underwater communication systems. She collaborates closely with colleagues at Tianjin University, including researchers such as Guangwei Lv and Shaoqiong Yang, and her early contributions are gaining citations. Her interests also include neural network–based hybrid modeling, online estimation, and mitigating the effects of environmental factors like sea currents and noise on underwater navigation and sensor performance. While no specific awards are publicly documented, Wu shows strong potential in combining experimental insights with computational techniques to enhance the design, control, and stability of underwater gliders.

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Featured Publications

AuthorLastName, A. A., & AuthorLastName, B. B. Model and data-driven hydrodynamic identification and prediction for underwater gliders. Physics of Fluids.

AuthorLastName, A. A., & AuthorLastName, B. B. An enhanced variational mode decomposition method for processing hydrodynamic data of underwater gliders. Measurement.

AuthorLastName, A. A., & AuthorLastName, B. B. Multi-body modelling and analysis of the motion platform for underwater acoustic dynamic communication. Applied Mathematical Modelling.

Nan Li | Engineering | Best Researcher Award

Dr. Nan Li | Engineering | Best Researcher Award

Associate researcher at erospace Information Research Institute, Chinese Academy of Sciences, China

Dr. Nan Li is an accomplished Associate Researcher at the State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences. With a strong interdisciplinary foundation in biomedical engineering and automation, she specializes in developing microfluidic-based nucleic acid and immunoassay detection systems. Dr. Li has contributed significantly to the advancement of rapid, portable, and sensitive diagnostic technologies, many of which are aimed at point-of-care and field diagnostics for infectious diseases. Her work is deeply rooted in translational research, seamlessly integrating microengineering, biotechnology, and clinical diagnostics.

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🎓 Education

Dr. Nan Li received her Ph.D. in Biomedical Engineering from the prestigious Tsinghua University in 2022, after completing her undergraduate degree in Automation from the Beijing Institute of Technology in 2016. During her doctoral studies, she focused on the development of centrifugal microfluidic platforms and integrated biosensing systems, gaining critical experience in both academic research and real-world biomedical applications. Her academic journey laid the groundwork for a career dedicated to creating impactful diagnostic tools for global healthcare needs.

💼 Experience

Dr. Li currently serves as an Associate Researcher at the Chinese Academy of Sciences, where she leads projects under the State Key Laboratory of Transducer Technology. She has also been actively involved in collaborative efforts with academic and industrial partners to translate laboratory innovations into commercial and clinical applications. In addition to her research responsibilities, Dr. Li contributes to scholarly activities as a journal reviewer for Microsystems & Nanoengineering and Current Analytical Chemistry. She has also delivered oral presentations at prominent international conferences such as Transducers 2025 and IEEE Sensors 2024, further reflecting her stature in the field.

🔬 Research Interests

Dr. Li’s core research interest lies in microfluidic technology for nucleic acid amplification, multiplex detection, and point-of-care diagnostics. She is particularly focused on developing integrated fluidic systems that are capable of rapid, accurate, and simultaneous detection of multiple pathogens or biomarkers. Her work often involves combining engineering principles such as centrifugal force and Euler force with advanced biochemical assays like LAMP and CRISPR. This interdisciplinary approach enables her to create portable diagnostic tools with immense potential in epidemic control, food safety, and personalized medicine.

🏆 Awards

Dr. Nan Li’s exceptional work has earned her several prestigious honors, including the Outstanding Reviewer Award from Microsystems & Nanoengineering in 2024. She was recognized as one of the Outstanding Graduates in Beijing in both 2016 and 2022. She also received the First Prize of Tsinghua University Comprehensive Scholarship in 2020 and the Gold Star Distinguished Research Award from the Biochip (Beijing) National Engineering Research Center in 2018 and 2020. Earlier in her academic journey, she was a recipient of the Tsinghua Future Scholar Scholarship, an award conferred upon top-performing doctoral candidates.

📚 Publications

Among Dr. Li’s numerous scientific publications, the following seven represent high-impact research in her field:

  1. Tianping Zhou, Nan Li* (2025). Sensors and Actuators B: Chemical. “Shockproof magnetofluidic multiplex nucleic acid system” – DOI: 10.1016/j.snb.2025.138139.

  2. Nan Li# et al. (2025). Biosensors & Bioelectronics, “Chip-based universal strategy for multiplex PCR”, Vol. 269, 116921.

  3. Bin Xiao# et al., Nan Li* (2024). Food Chemistry, “Toothpick DNA extraction with LAMP platform”, Vol. 460, 140659.

  4. Jiajia Liu# et al., Nan Li# (2024). Small Methods, “One-pot multiplex virus detection”, Vol. 8, 2400030. (Cover Article).

  5. Nan Li# et al. (2022). Sensors and Actuators B: Chemical, “Euler force-assisted sequential liquid release”, Vol. 359, 131642.

  6. Nan Li et al. (2022). Lab on a Chip, “Fully integrated SNP genotyping for hearing loss”, Vol. 22(4): 697–708. (Cover Article).

  7. Nan Li# et al. (2021). Microsystems & Nanoengineering, “Raw-sample-in multiplexed detection system”, Vol. 7(1): 94.

These works are widely cited and demonstrate her contributions to practical innovations in diagnostic technologies.

✅ Conclusion

Dr. Nan Li’s trajectory exemplifies a dedicated and forward-thinking researcher whose work merges engineering innovation with biomedical applications. Through her trailblazing research in microfluidic systems and portable diagnostics, she has not only addressed pressing needs in healthcare but also helped shape the future of rapid disease detection. Her consistent output of high-impact publications, international recognition, and impressive list of awards collectively make her a deserving candidate for a Best Paper Award. Dr. Li’s blend of creativity, precision, and practical implementation reflects the qualities that such an award seeks to honor.

Lin Chen | Mechanical Engineering | Best Researcher Award

Prof. Dr Lin Chen |  Mechanical Engineering | Best Researcher Award

Member of Guangxi Mechanical Engineering Society, Director of Guangxi Computer Users Association, Young and Middle-aged Expert on Intellectual Property Rights in Chinese Universities and Research Institutions at  Guangxi university, China

Lin Chen is a dedicated researcher and educator in mechanical engineering, with expertise in signal processing, control theory, and engineering applications. His research focuses on electrified vehicles, data acquisition, and analysis. Over the past five years, he has secured 23 research grants, including two major projects funded by the National Natural Science Foundation of China (NSFC) on lithium-ion batteries for EVs. Lin has pioneered deep-learning-based control methods for multi-axial electromechanical systems, encompassing sensors, signal processing, optimization, robot control, and CNC systems. He has built and validated complex test rigs through experimental studies. His work has resulted in 41 patents and over 60 journal publications, contributing significantly to energy management and advanced control systems.

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Academic and Research Focus:

Lin Chen is actively engaged in research and education in mechanical engineering, signal processing, control theory, and engineering applications. His work spans electrified vehicles, data acquisition, and analysis, contributing to advancements in sustainable transportation and smart systems.

Research Grants and Funding:

Over the last five years, Lin Chen has secured 23 research grants as Principal Investigator (PI) and Co-Investigator (CI) in electromechanical systems and lithium-ion battery energy management. Notably, he has led two large-scale projects funded by the National Natural Science Foundation of China (NSFC) focused on lithium-ion batteries for electric vehicles (EVs).

Innovation and Technological Contributions:

Lin Chen has developed deep-learning-based control methods for multi-axial electromechanical systems, integrating sensors, digital signal processing, optimization, robot control, and CNC control. His research also includes building complex test rigs for experimental validation.

Publications and Intellectual Property:

To date, Lin Chen has produced over 60 journal papers and holds 41 patents, reflecting his significant contributions to the field of electromechanical systems and energy management technologies.

Publication Top Notes:

  • Integrative Multi-Omics Approaches for Identifying and Characterizing Biological Elements in Crop Traits: Current Progress and Future Prospects
    International Journal of Molecular Sciences, 2025-02-10
    DOI: 10.3390/ijms26041466

  • Integrative Multiomics Profiling of Passion Fruit Reveals the Genetic Basis for Fruit Color and Aroma
    Plant Physiology, 2024-03-29
    DOI: 10.1093/plphys/kiad640

  • Real-Time Detection of Viruses in Aerosols with Weak Light Imaging Based on Tesla Discharge
    Applied Physics Letters, 2022-08-08
    DOI: 10.1063/5.0104527

  • Biophoton Imaging Evaluation of the Process of Rheumatoid Arthritis in Rats
    Natural Science, 2021
    DOI: 10.4236/ns.2021.1310037

  • In Vivo Imaging of Biophoton Emission in the Whole Brain of Mice
    Natural Science, 2021
    DOI: 10.4236/ns.2021.139033

  • Spectral Blueshift of Biophotonic Activity and Transmission in the Ageing Mouse Brain
    Brain Research, 2020-12
    DOI: 10.1016/j.brainres.2020.147133