Ms Lili Tang | Engineering Course Award | Best Researcher Award
Ms Lili Tang, Huaqiao University ,China
Lili Tang is a dedicated Ph.D. student at Huaqiao University, specializing in intelligent signal processing, information security, and fault diagnosis technology. She has actively contributed to several national and provincial projects, as well as university-industry collaborative projects. Lili has published seven first-author papers in prestigious journals and conferences and holds multiple authorized patents. Her research has earned her numerous accolades, including the International Second Prize in the American Mathematical Contest in Modeling, the National Second Prize in the “Huawei Cup” China Postgraduate Mathematical Contest in Modeling, and the National Second Prize in the MathorCup Mathematical Modeling Challenge.
Publication Profile
Strengths for the Award
- Academic and Research Excellence: Lili Tang has a robust academic background as a Ph.D. student at Huaqiao University, focusing on intelligent signal processing, information security, and fault diagnosis technology. Her involvement in multiple national, provincial, and university-industry collaborative projects underscores her active participation in significant research endeavors.
- Publications and Patents: She has an impressive publication record with 7 first-author papers in prestigious journals and conferences, demonstrating her capability to contribute valuable research findings to the scientific community. Additionally, her holding of several authorized patents indicates innovation and practical applications of her research.
- Awards and Recognitions: Lili Tang has received notable awards such as the International Second Prize in the American Mathematical Contest in Modeling, the National Second Prize in the “Huawei Cup” China Postgraduate Mathematical Contest in Modeling, and the National Second Prize in the MathorCup Mathematical Modeling Challenge. These accolades highlight her exceptional problem-solving skills and academic prowess.
- Industry Collaboration: Her involvement in three consultancy/industry projects showcases her ability to bridge the gap between academic research and practical industry applications, making her research relevant and impactful.
- Professional Memberships: As a member of IEEE CAA, she is connected to a broader professional network, which supports her continuous professional development and collaboration opportunities.
Areas for Improvement
- Broader Impact and Outreach: While her academic and research achievements are commendable, she could enhance her profile by engaging in more outreach activities, such as participating in conferences, workshops, and public lectures to disseminate her research findings to a wider audience.
- Editorial Roles and Book Publications: Gaining editorial appointments and publishing books can further establish her as an authority in her field. These roles would also provide her with opportunities to influence the direction of research in her areas of expertise.
- Interdisciplinary Research: Expanding her research scope to include more interdisciplinary projects could increase the impact and applicability of her work, fostering innovation through the integration of diverse fields.
Education
Lili Tang is currently pursuing her Ph.D. at Huaqiao University, where she focuses on intelligent signal processing, information security, and fault diagnosis technology. Her academic journey is marked by active participation in various national and provincial projects, as well as collaborative projects between the university and industry. Through these experiences, she has honed her skills and gained valuable insights into her field. Lili’s education has been complemented by her contributions to multiple high-impact research papers and patents, showcasing her dedication to advancing technology and solving real-world problems through innovative research.
Experience
Lili Tang has amassed significant experience in her field as a Ph.D. student at Huaqiao University. She has been involved in several national and provincial research projects, as well as university-industry collaborative projects, which have allowed her to apply her theoretical knowledge to practical problems. Her research has resulted in the publication of seven first-author papers in prestigious journals and conferences. Additionally, she holds multiple authorized patents. Lili’s experience is further highlighted by her participation in various mathematical modeling contests, where she has earned several national and international awards, demonstrating her expertise and commitment to excellence.
Awards and Honors
Lili Tang has received numerous prestigious awards and honors throughout her academic career. She won the International Second Prize in the American Mathematical Contest in Modeling (MCM), demonstrating her exceptional problem-solving skills. Additionally, she secured the National Second Prize in both the “Huawei Cup” China Postgraduate Mathematical Contest in Modeling and the MathorCup Mathematical Modeling Challenge. These accolades underscore her academic excellence and innovative contributions to her field. Lili’s achievements are a testament to her dedication, hard work, and ability to apply her knowledge to solve complex problems, earning her recognition on both national and international stages.
Research Focus
Lili Tang’s research is centered on intelligent signal processing, information security, and industrial equipment fault diagnosis technology. She has developed various signal compression techniques, fault diagnosis methods, and information security technologies, contributing significantly to the advancement of industrial intelligence. Lili’s work involves proposing innovative solutions for mechanical vibration signal compression and mechanical fault diagnosis using audio signal analysis. Her research aims to enhance the efficiency and reliability of industrial processes, making significant strides in the field of intelligent manufacturing and information security, with a focus on practical applications and technological advancements.
Publication Top Notes
Mechanical vibration signal compression based on speech codecs for intelligent manufacturing. International Journal of Computer Integrated Manufacturing. 🛠️📊🔍
A survey of mechanical fault diagnosis based on audio signal analysis, Measurement, Volume 220, 2023, 113294. 📈🔧🎤
An adaptive fuzzy inference approach for color image steganography. Soft Comput 25, 10987–11004 (2021). 🎨🔍🔒
“Mechanical Fault Diagnosis Using Audio Signal Feature Fusion and Fuzzy Inference,” 2023 China Automation Congress (CAC), Chongqing, China, 2023, pp. 5938-5944. 📊🔧🎶