Lili Tang | Engineering Course Award | Best Researcher Award

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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

Scopus

Strengths for the Award

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

  1. 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.
  2. 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.
  3. 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. 📊🔧🎶

Manikandan | Civil Engineering Award | Best Researcher Award

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Mr k manikandan | Civil Engineering Award | Best Researcher Award

Mr k manikandan , national institute of technology puducherry , India 

K Manikandan is a research scholar at the National Institute of Technology Puducherry, India, specializing in the preservation of masonry heritage structures, particularly minarets. His research focuses on structural analysis, earthquake engineering, and machine learning applications in heritage conservation. Manikandan has developed a pioneering machine learning model to analyze and safeguard slender heritage structures, contributing significantly to architectural preservation. His work, published in a prestigious journal, utilizes digital documentation and ontological frameworks to mitigate structural risks. 🏛️🌍

Publication Profile

Scopus

Professional Background

K MANIKANDAN is deeply passionate about heritage preservation, showcasing expertise in structural analysis, earthquake engineering, and machine learning. His dedicated efforts are focused on safeguarding iconic architectural elements that hold immense cultural and religious significance. 🏛️ Through his research, he aims to ensure the longevity and resilience of masonry heritage structures, with a particular emphasis on minarets. This interdisciplinary approach integrates advanced engineering principles with historical preservation, addressing challenges posed by natural disasters and environmental factors. K MANIKANDAN’s work not only contributes to the preservation of tangible heritage but also fosters greater understanding and appreciation of architectural diversity across communities.

 

Research Focus

K MANIKANDAN’s research falls under the category of Structural Analysis and Machine Learning. 🏗️ His study focuses on the fundamental frequency formulation and modeling of masonry slender structures, employing a comparative analysis of machine learning and regression techniques. By exploring these advanced methodologies, he aims to enhance the understanding of structural dynamics and behavior in heritage buildings, particularly minarets. This research not only contributes to the field of earthquake engineering but also supports the preservation efforts of cultural and historical landmarks. Through innovative approaches, K MANIKANDAN seeks to ensure the resilience and longevity of these architectural treasures for future generations.

Publication Top Notes

“Fundamental frequency formulation and modeling of masonry slender structures: A comparative study of machine learning and regression techniques”

 

Sihao Han | Mechanical Engineering Award | Best Researcher Award

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Dr Sihao Han | Mechanical Engineering Award | Best Researcher Award

Dr Sihao Han , South China University of Technology , China

Publication profile 

Google Scholar

Education and Experience

Sihao Han is currently pursuing his PhD in Mechanics at South China University of Technology, building upon his Bachelor’s degree in Mechanical Engineering from Southwest Jiaotong University. His academic journey is marked by a commitment to excellence and a passion for pushing the boundaries of knowledge in his field.

Academic Achievements 

Sihao’s research is centered on solid mechanics, with a keen focus on understanding the wave characteristics and impact behavior of acoustic/mechanical metamaterials. Additionally, he is dedicated to advancing the development of multifunctional metamaterials. His goal is to leverage the power of artificial intelligence to revolutionize the application of metamaterials in demanding engineering contexts.

 

Research Focus

Sihao Han’s research centers on the innovative field of metamaterials, with a particular emphasis on their applications in energy absorption, vibration insulation, and wave propagation. His work involves the design and optimization of re-entrant honeycomb metamaterials and phononic crystals, leveraging advanced techniques like deep learning and reinforcement learning. Sihao’s studies aim to enhance the performance of these materials in demanding engineering applications, contributing to areas such as impact mitigation and load-bearing capacity. Through his interdisciplinary approach, Sihao bridges mechanical engineering with artificial intelligence to push the boundaries of materials science. 🚀🛠️

Publication Top Notes
  1. 📚 “Hierarchical re-entrant honeycomb metamaterial for energy absorption and vibration insulation” – N Ma, Q Han, S Han, C Li, International Journal of Mechanical Sciences 250, 108307, 2023 (47 citations)
  2. 📚 “Design and reinforcement-learning optimization of re-entrant cellular metamaterials” – S Han, Q Han, N Ma, C Li, Thin-Walled Structures 191, 111071, 2023 (10 citations)
  3. 🧠 “Deep-learning-based inverse design of phononic crystals for anticipated wave attenuation” – S Han, Q Han, C Li, Journal of Applied Physics 132 (15), 2022 (9 citations)
  4. 🧠 “Inverse design of phononic crystals for anticipated wave propagation by integrating deep learning and semi-analytical approach” – S Han, Q Han, T Jiang, C Li, Acta Mechanica 234 (10), 4879-4897, 2023 (8 citations)
  5. 🔄 “Complex dispersion relations and evanescent waves in periodic magneto-electro curved phononic crystal plates” – S Han, Q Han, T Jiang, C Li, Applied Mathematical Modelling 119, 373-390, 2023 (3 citations)
  6. 📐 “Design and optimization of the dual-functional lattice-origami metamaterials” – T Jiang, S Han, Q Han, C Li, Composite Structures 327, 117670, 2024 (2 citations)
  7. ⚡ “Parametric electro-mechanical dispersive behaviors of guided waves in the functionally graded piezoelectric annular plate” – C Li, D Xiao, S Han, Q Han, ZAMM-Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte, 2023 (1 citation)
  8. 🛠️ “Machine learning-based optimal design of an acoustic black hole metaplate for enhanced bandgap and load-bearing capacity” – S Han, N Ma, Q Han, C Li, Mechanical Systems and Signal Processing 215, 111436, 2024
  9. 📏 “Compressive response and optimization design of a novel hierarchical re-entrant origami honeycomb metastructure” – N Ma, S Han, W Xu, Q Han, C Li, Engineering Structures 306, 117819, 2024
  10. 📏 “Design and compressive behaviors of the gradient re-entrant origami honeycomb metamaterials” – N Ma, S Han, Q Han, C Li, Thin-Walled Structures 198, 111652, 2024
  11. 🔧 “A novel multi-resonator honeycomb metamaterial with enhanced impact mitigation” – H Zheng, S Han, S Li, Q Han, C Li, European Journal of Mechanics-A/Solids, 105272, 2024