Dr. Waqas Hussain

Function and Responsibilities:

As a Visiting PhD Researcher at GFZ Helmholtz Centre for Geosciences, I am responsible for:

  • Integrating C++-based geological modeling software (e.g., MeshIt) into the open-source Python framework PZero.
  • Enhancing interoperability between C++ and Python to improve seismic data processing and geological visualization.
  • Developing high-performance computational tools to support geological and seismic research.
  • Collaborating closely with experts in geophysics and software development to optimize modeling workflows.

Research Interests:

  • 3D/4D Geological Modeling
  • Marine Seismic Data Integration
  • Computational Geophysics
  • High-Performance Computing
  • Open-Source Software Development
  • Machine Learning & Deep Learning Applications in Geosciences
  • Career:

    Visiting PhD Researcher
    GFZ Helmholtz Centre for Geosciences · Full-time
    Feb 2025 – Present · Potsdam, Brandenburg, Germany (On-site)

    • Integration of C++ geological modeling tools with Python frameworks.
    • Enhancing seismic data processing and model visualization through improved software interoperability.

    Doctoral Researcher
    Università degli Studi di Milano-Bicocca · Full-time
    Nov 2023 – Present · Milan, Lombardy, Italy (On-site)

    • Developing open-source 3D/4D geological modeling software and advanced algorithms for complex geological structures.
    • Engaging with stakeholders to validate and refine modeling techniques.

    Research Assistant
    Università degli Studi di Milano-Bicocca · Full-time
    Jul 2023 – Nov 2023 · Remote

    • Contributed to 3D geological modeling projects and explored reservoir geological modeling theory.

    Teaching Assistant
    University of Bergen · Part-time
    Mar 2023 – Jun 2023 · Bergen, Vestland, Norway (On-site)

    • Instructed students in core logging, seismic interpretation, radiocarbon dating, and software applications such as ArcGIS.

    Assistant Sampling Geologist (Summer Intern)
    Kuniko Limited · Internship
    May 2022 – Aug 2022 · Vikersund, Viken, Norway

    • Conducted geological mapping, sampling, and soil analysis using pXRF; assisted in exploration-related logistical tasks.

    Education:

    Doctor of Philosophy (PhD) in Computational Geology
    Università degli Studi di Milano-Bicocca
    Nov 2023 – Nov 2026
    Thesis: “3D/4D geological modelling with open-source software: software development, innovative workflows and algorithms, and case studies.”

    Master of Science (MS) in Geology/Earth Science
    University of Bergen (UiB)
    2021 – Feb 2023

    • Focus: Quaternary sedimentology, glaciology, seismic interpretation, and remote sensing.
    • Thesis: “Deglaciation history of Frøyabanken and Halsafjorden.”

    Additional educational details (e.g., certifications and relevant coursework) can be added as needed.

    Projects:

    Projects

    SAM2_GUI
    Oct 2024 – Present

    • Overview: A GUI application for image segmentation using the SAM2 (Segment Anything Model 2) model, implemented in Python with PyQt.
    • Features:
      • Upload and display images (PNG, JPG, JPEG, BMP).
      • Interactive annotations with foreground/background points and drawn lines.
      • Real-time mask generation and updates.
      • Undo/Redo functionality and support for multiple model sizes.
      • Zooming and panning capabilities.

    DOMStudioImage
    Nov 2023 – Present

    • Overview: A tool for detecting lineaments in geological images using various edge detection techniques.
    • Features:
      • Load and process geological images.
      • Apply multiple edge detection filters (Canny, Sobel, Shearlet) and manual interpretation tools.
      • Export results in diverse formats (Shapefile, GeoJSON, KML, GeoPackage, PNG, JPEG, TIFF).
      • Batch processing and additional image analysis tools (histogram, Fourier transform, intensity profile, color histogram).

    Awards:

  • Carbon Capture and Storage using Aspen SKUA
    Aspen Technology, Sep 2024
    Recognized for expertise in geological modeling, carbon capture, and related technologies.

  • Python Programming Certification
    HarvardX, Jun 2024
    Credential ID: ee10e8b3d42747d59df18803d010ba3b

  • IBM Data Science Badges
    Awarded for completing Applied Data Science with Python Level 2 and related achievements.

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