Hi There, I'm Pavodi N. Maniamfu

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I am a Ph.D. student at the University of Tsukuba, Japan and a part-time Computer Vision Engineer at FingerVision in Tokyo. With expertise in Python, machine learning frameworks, and computer vision tools, I enjoy developing innovative solutions to complex problems. I'm a multicultural individual fluent in various languages.

Research Interests

My research focuses on advancing the field of physics-informed neural networks with applications to solving nonlinear partial differential equations and physical system simulations. I'm particularly interested in recurrent neural network architectures for physics-based modeling, as well as computer vision applications.

Recurrent Neural Networks
Physics-informed Modeling
Computer Vision (Object Detection, Segmentation, etc.)

Skills & Technologies

Python
JavaScript
React
Node.js
SQL/NoSQL
AWS
Docker
PyTorch
Django

Contacts

Curriculum Vitae

Education

  • Ph.D. in Systems and Information Engineering, University of Tsukuba, Japan, 2022-Present
  • M.Sc. in Technology Convergence, Handong Global University (HGU), South Korea, 2019-2020
  • B.Sc. in Information System Design, Kinshasa University, DR Congo, 2013-2018

Experience

  • Computer Vision – ML Engineer, FingerVision, Tokyo, Japan, Oct 2024-Present
  • Data Scientist – ML Engineer (Intern), Xen.AI Company, USA, Jul-Sep 2024
  • Teaching Assistant, Kinshasa University, DR Congo, Sep 2018-Present

Publications

  • "Efficient band reduction for hyperspectral imaging with dependency-based segmented principal component analysis" - International Journal of Remote Sensing, 2024
  • "Physics-Informed Antisymmetric Recurrent Neural Networks for Solving Nonlinear Partial Differential Equations" - ICONIP, 2024
  • "LSTM-based Forecasting using Policy Stringency and Time-varying parameters of the SIR model for COVID-19" - IEEE CSPA, 2023
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Buy me a coffee

If you find my opensource projects helpful, consider supporting me with a coffee!

Buy me a coffee

Projects

Check out some of my notable projects below:

E-Commerce Website

E-Zando is an e-commerce website that allows users to buy and sell products online. It is built with Django and Python.

SAM Annotation Tool

SAM Annotation Tool is a tool that allows users to annotate images with SAM (Segment Anything Model) for object detection and segmentation tasks.