About me

I am a PhD Student in Computer Vision at the Universitat Autònoma de Barcelona. Besides that, I am working as a Research Assistant at the Document Analysis Group (DAG) of Computer Vision Center. Currently, I am working on the document layout analysis and graph reasoning problems.

Beyond the digital world, I find solace in expressing my creativity through sketches and poems. The strokes of my pencil on paper and the words that flow from my pen are my artistic companions, allowing me to convey emotions and stories in a unique way.

Research Interests

  • design icon

    Sketch Generation

    Working on realistic sketch generation with boundless creativity through diffusion models.

  • Web development icon

    Document Layout Analysis

    The structured insights of documents with seamless comprehension.

Recent News

  • Daniel lewis

    ICDAR 2024

    Best Student Paper Award for GraphKD

  • Daniel lewis

    Started PhD

    Are Sketches helpful?? Let's explore.

  • Jessica miller

    ICDAR 2024

    GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation. For more details please visit: github.com/ayanban011/GraphKD

Daniel lewis
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Daniel lewis

In my groundbreaking master thesis dissertation, I delved into the realm of document layout analysis, a crucial facet of modern information processing. Focusing on innovation and efficiency, I harnessed the power of cutting-edge Transformer-based semi-supervised learning techniques. By integrating Graph-Based Knowledge Distillation into this approach, I not only refined the understanding of document layouts but also paved the way for enhanced analysis accuracy. My research successfully demonstrated the potential of this amalgamation, providing a robust framework that pushes the boundaries of what's achievable in document layout analysis. This breakthrough is a testament to the convergence of AI methodologies, propelling the field forward and promising a future where document analysis is more insightful and precise than ever before.

Resume

Education

  1. Universitat Autònoma de Barcelona

    2024 — 2027

    PhD in Computer Science

  2. Universitat Autònoma de Barcelona

    2022 — 2023

    Master of Science in Computer Vision (CGPA: 8.08/10)

Experience

  1. Research Assistant @ Computer Vision Center

    June, 2022 — Present

    Analysis of vision and language model for instance document layout segmentation and visual question answering.

  2. Programmer Analyst Trainee @ Cognizant

    Sep, 2021 — Sep, 2022

    Developing a robust pension management system using Spring Boot and Maven in Java.

  3. Junior Project Engineer @ Indian Institute of Technology, Kharagpur, India

    Aug, 2021 - Feb, 2022

    Remote monitoring and real-time control of defects in friction stir welding process and preventive health monitoring of friction stir welding machine.

  4. Data Science Intern @ Augray, Chennai, India

    July, 2020 - Aug, 2020

    Automate the 3d annotation process and data collection and preprocessing, exploratory data analysis for augmented reality to obtain virtual trial on shoes.

Awards and Achievements

  1. Swami Vivekananda Merit and Means Scholarship

    2017 — 2021

    A grant from Directorate of Technical Education (DTE) from Government of West Bengal, India.

  2. Google Build for Digital India

    2020

    An enriching journey with rich technical resources to learn the latest in tech.

  3. Researchathon, Winner in healthcare track

    2021

    An international hackathon organized by United Nations Environment Program and Harvard Kennedy School.

  4. Nexas-A-Thon, 2nd in waste management track

    2021

    A national hackathon organized by organised by Indian Institute of Technology Guwahati.

  5. INDIAai Lab2Market, Winner

    2021

    a program organized by NASSCOM aimed at helping students and faculty in Indian academic space translate their academic research to products.

  6. ICDAR 2024 Best Student Paper, Winner

    2024

    GrpahKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation.

My skills

  • Programming Languages: C/C++, Java, Python, R, Matlab
    80%
  • Databases: Mysql, sqlite.
    70%
  • Data Science Library: numpy, pandas, matplotlib, seaborn, scikit-learn, opencv, folium, tkinter.
    90%
  • Deep Learning Library: Keras, Tensorflow 2.0, Pytorch.
    90%
  • Web Dev: Html, css, JavaScript, jQuery, bootstrap.
    50%
  • Misc.: Linux: Shell Scripting, git/github.
    60%

Blogs

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