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Ms. Cinzia Bandiziol | Mathematics | Best Researcher Award

Cinzia Bandiziol at University of Padua, Italy

Summary:

Cinzia Bandiziol is a passionate mathematician with a focus on applying mathematical tools in industrial contexts. Currently a Ph.D. student at the University of Padova, her work involves the use of topological data analysis, particularly Persistent Homology, to solve complex problems in Industry 4.0. She brings a deep analytical mindset, precision, and perseverance to her research, traits that have defined her academic and professional journey. With prior experience as a Data Analyst at Texa Spa, Cinzia blends her love for mathematics with practical applications, striving to bridge the gap between theory and industry. In addition to her research, she enjoys volunteering and tutoring students, helping them overcome challenges in mathematics.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Mathematical Sciences
    University of Padova (2022 – Ongoing)
    Research focus on the application of topological tools such as Persistent Homology in the context of Industry 4.0, data analysis, and machine learning.
  • M.Sc. in Mathematics
    University of Padova (2015 – 2018)
    Final Score: 110/110 cum laude
    Thesis: “An extension of FHRI to two-dimensional domains”
  • B.Sc. in Mathematics
    University of Padova (2011 – 2015)
    Final Score: 93/110

🏢 Professional Experience:

  • Ph.D. Student, Mathematical Sciences
    University of Padova (2022 – Present)
    Currently focusing on the application of topological tools, such as Persistent Homology, in industrial applications, including Industry 4.0 and machine learning. Extensive experience in programming, numerical approximation, and optimization techniques.
  • Data Analyst
    Texa Spa, Monastier (2018 – 2021)
    Worked on fleet management reports, analyzing statistical and operational data before presenting findings to clients. This role involved significant work in data management, quality control, and statistical analysis.
  • Academic Tutor
    Supported undergraduate students in Matlab-based courses and assisted professors in grading exams, fostering strong connections with students and encouraging academic success in mathematics.

Research Interests:

Cinzia Bandiziol’s research revolves around the application of advanced mathematical methods in real-world industry scenarios. Her primary interests include:

  • Topological Data Analysis (TDA), specifically the use of Persistent Homology in classification and machine learning.
  • Application of numerical approximation techniques and optimization in industrial systems.
  • Development of adaptive gradient methods for training neural networks.
  • Mathematical techniques in Industry 4.0, focusing on data-driven decision-making and automation.

Author Metrics:

Publications:

  • Bandiziol, C., De Marchi, S. (2019). “On the Lebesgue constant of the trigonometric Floater-Hormann rational interpolant at equally spaced nodes.” Dolomites Research Notes on Approximation, 12.6, 51–67. URL
  • Bandiziol, C., De Marchi, St. (2024). “Persistence Symmetric Kernels for Classification: A Comparative Study.” Symmetry, 16.1236. doi: 10.3390/sym16091236.

Conferences:

  • Presented at several national and international conferences, including seminars in Napoli, Torino, and the University of Padova, on topics such as topological layers in neural networks and classification using TDA.

Top Noted Publication:

1. Persistence Symmetric Kernels for Classification: A Comparative Study

  • Authors: Cinzia Bandiziol, Stefano De Marchi
  • Journal: Symmetry
  • Year: 2024
  • Volume and Issue: 16(9)
  • Article ID: 1236
  • DOI: 10.3390/sym16091236
  • Citations: 0
  • Abstract: This paper conducts a comparative study on the use of Persistence Symmetric Kernels for classification tasks in machine learning, emphasizing the benefits of topological methods.

2. On the Lebesgue Constant of the Trigonometric Floater-Hormann Rational Interpolant at Equally Spaced Nodes

  • Authors: Cinzia Bandiziol, Stefano De Marchi
  • Journal: Dolomites Research Notes on Approximation
  • Year: 2019
  • Volume: 12
  • Pages: 51–67
  • Citations: 2
  • Abstract: The paper analyzes the behavior of the Lebesgue constant in the context of trigonometric Floater-Hormann rational interpolation, providing insights into the accuracy and efficiency of this approximation method.

Conclusion:

Ms. Cinzia Bandiziol is a highly promising candidate for the Best Researcher Award due to her advanced research in the field of Topological Data Analysis and its applications to Industry 4.0. Her strong academic foundation, practical industry experience, and innovative research make her a valuable contributor to both mathematics and industrial problem-solving. Enhancing the impact of her publications and engaging in broader interdisciplinary work will help her establish a stronger presence in the global research community. Nevertheless, her current accomplishments demonstrate significant promise and merit recognition.

 

 

Cinzia Bandiziol | Mathematics | Best Researcher Award

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