Sina Sabermahani

Tagline:Data Scientist | Machine Learning | Python and Linux

personal photo of Sina Sabermahani

About

I'm Sina, a dedicated graduate student pursuing a degree in geophysics at the University of Manitoba. 🎓 What truly ignites my curiosity is the application of machine learning in seismology, a frontier where data and technology converge to enhance our understanding of Earth's dynamic processes. 🌐 Excited to connect with fellow professionals, researchers, and enthusiasts in this space!

#MachineLearning #Seismology

Education

  • Doctor of Philosophy - PhD

    from: 2024, until: 2024

    Field of study:GeophysicsSchool:University of Manitoba

  • Master of Science - MS

    from: 2024, until: present

    Field of study:GeophysicsSchool:Graduate University of Advanced Technology

  • Bachelor of Science - BS

    from: 2024, until: present

    Field of study:PhysicsSchool:Shahid Bahonar University of Kerman

  • Doctor of Philosophy - PhD

    from: 2021, until: 2024

    Field of study:GeophysicsSchool:University of Manitoba

    Description

    Skills: Earth Science · Globus · High Performance Computing (HPC)

  • Master of Science - MS

    from: 2017, until: 2020

    Field of study:Geophysics (Earthquake Seismology)School:Graduate University of Advanced Technology

    Description

    Skills: Earth Science

  • Bachelor of Science - BS

    from: 2013, until: 2017

    Field of study:Computational PhysicsSchool:Shahid Bahonar University of Kerman

Work Experiences

  • Teaching Assistant

    from: 2021, until: present

    Organization:University of ManitobaLocation:Winnipeg, Manitoba, Canada

    Description:

    Courses:

    EXPLORATION SEISMOLOGY (GEOL 3740)
    GEOPHYSICAL DATA ANALYSIS (GEOL 4810)
    INTRODUCTION TO GEOPHYSICS (GEOL 2060)
    Exploration Seismology (GEOL 3740)
    Geophysical Time-Series Analysis (GEOL 4810)
    Geophysics Field School in variety of locations as Selkirk, Virden, Whiteshell

  • Geophysicist

    from: 2022, until: 2023

    Organization:EarthEx Geophysical Solutions Inc.Location:Winnipeg, Manitoba, Canada

    Description:
    • Experienced in borehole electromagnetic (BHEM) using EMSProject, and UR4
    • Proficient in conducting quality control/quality assurance (QC/QA) checks on BHEM data
    • Skilled in writing comprehensive reports for clients detailing BHEM results
    • Knowledgeable in using industry-standard software and tools for BHEM analysis and visualization
    • Strong ability to work independently and collaboratively in a team environment
    • Detail-oriented with excellent analytical and problem-solving skills
    • Constantly seeking to expand knowledge and stay up-to-date with the latest industry developments.
  • Technical Support Specialist

    from: 2020, until: 2021

    Organization:Matrix TahlilgaranLocation:Tehran, Iran

  • Geophysicist

    from: 2017, until: 2021

    Organization:Zamin Kav GostarLocation:Tehran, Tehran Province, Iran

    Description:
    • Specialized in seismic downhole techniques for geotechnical purposes, ensuring accurate subsurface imaging and analysis.
    • Conducted geophysical surveys using gemagnetic methods, providing crucial data for mineral exploration projects.
    • Applied induced polarization (IP) techniques to enhance mineral prospecting and contribute to comprehensive exploration assessments.
  • ArcGIS lecturer

    from: 2018, until: 2018

    Organization:University of TehranLocation:Tehran, Tehran Province, Iran

    Description:

    Instructed ArcGIS products and Surfer to 11 graduate students at the University
    of Tehran
    • Designed final projects for student evaluation
    • Evaluated student works for academic assessment
    • Conducted a Seismic Hazard Analysis project using Surfer, QGIS and OpenQuake
    and presented the processing and interpretation in a national conference
    • Practicing data visualization and Analytics

  • Research Assistant

    from: 2021, until: present

    Organization:University of ManitobaLocation:Winnipeg, Manitoba, Canada

    Description:

    • used advanced machine learning for earthquake data analysis, including quality control automation and Earth structure modeling.

    • Developed algorithms for earthquake clustering and receiver function processing, utilizing Python, Matlab, SQL, and geospatial tools.

    • worked on high-performance computing for processing a 4TB seismic dataset and resulted in peer-reviewed publications and presentations at several conferences.

    Key Skills:

    • Machine Learning
    • Data Analysis
    • Python
    • Matlab
    • Geophysics
    • Seismology
    • Earth Science
  • Magnetometer Field Technician

    from: 2025, until: 2025

    Organization:Golden Pocket ResourcesLocation:Bissett, Manitoba, Canada

    Description:
    • Conducted winter field surveys using a magnetometer to collect geophysical data.
    • Set up and maintained a base station to ensure accurate readings.
    • Transferred and reviewed collected data nightly to monitor quality.
    • Performed preliminary data processing to assess survey accuracy.
    • Worked as part of a field crew, ensuring efficient data acquisition in remote conditions.
  • Teaching Assistant

    from: 2021, until: 2024

    Organization:University of ManitobaLocation:Winnipeg, Manitoba, Canada

    Description:

    • Assisted professors in delivering course content for undergraduate geophysics classes
    • Conducted laboratory sessions, demonstrating geophysical equipment and software use
    • Guided students through practical exercises in data collection, processing, and interpretation
    • Graded assignments, exams, and lab reports, providing constructive feedback to students
    • Held regular office hours to address student queries and provide additional support
    • Supervised field-work during Geophysics Field School, ensuring safety protocols and learning objectives were met
    Courses:
    • Exploration Seismology (Geol 3740)
    • Geophysical Data Analysis (Geol 4810)
    • Introduction To Geophysics (Geol 2060)
    • Geophysical Time-Series Analysis (Geol 4810)
    • Geophysics Field School in Variety Of Locations As Selkirk, Virden, Whiteshell

  • Geophysical Data Analyst

    from: 2022, until: 2023

    Organization:EarthEx Geophysical Solutions Inc.Location:Winnipeg, Manitoba, Canada

    Description:

    • Experienced in borehole electromagnetic (BHEM) using EMSProject and UR4
    • Proficient in conducting quality control/quality assurance (QC/QA) checks on BHEM data
    • Skilled in writing comprehensive reports for clients detailing BHEM results
    • Knowledgeable in using industry-standard software and tools for BHEM analysis and visualization
    • Strong ability to work independently and collaboratively in a team environment
    • Detail-oriented with excellent analytical and problem-solving skills
    • Constantly seeking to expand knowledge and stay up-to-date with the latest industry developments

  • Data Analyst

    from: 2019, until: 2021

    Organization:Matrix TahlilgaranLocation:Tehran, Iran

    Description:

    • Developed and maintained complex database queries using PL/SQL and SQL, significantly improving data retrieval efficiency and accuracy
    • Provided technical support to end-users, effectively diagnosing and resolving software and hardware issues
    • Created comprehensive documentation for database management processes and best practices, facilitating knowledge transfer within the team
    • Participated in regular training sessions to stay updated with the latest developments in database technologies and Linux administration
    • Assisted in the development and implementation of data backup and recovery strategies, ensuring data integrity and minimizing potential loss
    • Conducted regular system health checks and performance audits, proactively identifying and addressing potential issues

Projects

  • PredWeather

    date: 2024

    Description:

    A Python forecasting tool for predicting air temperature using NOAA data

    This Python tool enables forecasting weather for any station of your choice.

    https://github.com/Sinamahani/PredWeather

  • PredWeather

    date: 2024

    Description:
    • Developed a Python class for automated data collection from NOAA.
    • Implemented machine learning algorithms to predict weather temperature trends.
    • Designed the class for flexibility, allowing easy integration with various datasets.
    • Published the code on GitHub for public access and collaboration.
    • Focused on enhancing predictive accuracy through advanced data processing techniques.
  • Developing a clustering algorithm sensitive to density changes

    date: 2023

    Description:
    • Developed a novel algorithm based on DBSCAN, optimized for spatially varying density datasets.
    • Enhanced clustering accuracy in geophysical data by adapting to local density variations.
    • Published research findings in the journal Seismological Research Letters (SRL).
    • Made the algorithm publicly available on GitHub, enabling open-source collaboration.
    • Released the package on PyPI, facilitating easy integration and use by the scientific community.
  • Seismic Receiver Function Analysis in North Canada

    date: 2023

    Description:
    • Currently engaged in a research project at the University of Manitoba, investigating Moho depth in Northern Canada.
    • Applying receiver function techniques to analyze seismic data for crustal studies.
    • Leveraging Teleseismic analysis, Harmonic Decomposition, and HK analysis to enhance data interpretation.
    • Integrating Convolutional Neural Networks (CNN) and Deep Learning for advanced signal processing.
    • Collaborating and version-controlling the project through GitHub for streamlined development.
  • Seismic Receiver Function Analysis in North Canada

    date: 2023

    Description:
    • Currently engaged in a project affiliated with the University of Manitoba, focusing on the study of Moho depth in North Canada using receiver function techniques.
    • Utilizing skills in Teleseismic, Harmonic Decomposition, HK analysis, Receiver Function, Convolutional Neural Networks (CNN), GitHub, and Deep Learning to contribute to the project’s success.
  • Developing a clustering algorithm sensitive to density changes

    date: 2023

    Description:

    Sina Sabermahani. (2023). Density-Adaptive DBSCAN; an advanced algorithm for earthquake clustering (0.3.1). Zenodo. https://doi.org/10.5281/zenodo.10088083

  • Seismic Hazard Assessment in Kerman, Iran

    date: 2016

    Description:
    • Dedicated five months to a project addressing seismic hazard assessment in Kerman County.
    • Conducted a thorough analysis to identify areas at risk of seismic events, aiming to enhance community resilience and guide post-earthquake recovery efforts.
    • This initiative served as an alternative to mandatory military service, showcasing a commitment to community well-being through diligent research and strategic planning.
  • Seismic Hazard Assessment in Kerman, Iran

    date: 2016

    Description:
    • Dedicated five months to a comprehensive seismic hazard assessment project in Kerman County.
    • Analyzed seismic data to pinpoint high-risk areas, contributing to enhanced community resilience.
    • Developed strategic recommendations to support post-earthquake recovery efforts.
    • Served as an alternative to mandatory military service, reflecting a commitment to public safety and community well-being.
    • Demonstrated the ability to apply geophysical expertise in a real-world context to address critical societal challenges.

Publications

  • Improved Earthquake Clustering Using a Density‐Adaptive DBSCAN Algorithm: An Example from Iran

    DocumentPublisher:Seismological Research LetterDate:2024
    Authors:
  • Improved Earthquake Clustering Using a Density‐Adaptive DBSCAN Algorithm: An Example from Iran

    DocumentPublisher:Seismological Research LetterDate:2024
    Authors:
  • Sensitivity Analysis of Ground Motion Prediction Equation using Next Generation Attenuation Dataset

    DocumentPublisher:Geodesy and GeodynamicsDate:2020
    Authors:
  • Sensitivity Analysis of Ground Motion Prediction Equation using Next Generation Attenuation Dataset

    DocumentPublisher:Geodesy and GeodynamicsDate:2020
    Authors:
  • Thermal Anomalies Detection before Earthquake using Three Filters (Fourier, Wavelet, and Logarithmic Differential Filter), A Case Study of Two Earthquakes in Iran

    DocumentPublisher:Iranian Journal of Earth SciencesDate:2019
    Authors:
    Description:

    10.30495/IJES.2019.544597

  • Thermal Anomalies Detection before Earthquake using Three Filters (Fourier, Wavelet, and Logarithmic Differential Filter), A Case Study of Two Earthquakes in Iran

    DocumentPublisher:Iranian Journal of Earth SciencesDate:2019
    Authors:

Honors & Awards

  • Dr. George Brownell Memorial Scholarship

    date: 2023-09-01

    Description:
    • Received the prestigious Dr. George Brownell Memorial Scholarship based on academic achievement.
    • Award value: $1,050.00.
  • Travel Grant by GeoConvention

    date: 2022-07-01

    Description:
    • Granted $500 in travel assistance for attending GeoConvention22 in Calgary.
    • Issued by GeoConvention22 in June 2022.
  • GETS Scholarship

    date: 2021-10-01

    Description:
    • Awarded the GETS Scholarship in September 2021
  • Rank 2nd in Geophysics Nationwide PhD Entrance Exam

    date: 2017-10-01

    Description:
    • Achieved the 2nd rank in the Geophysics nationwide PhD Entrance Exam.
    • Recognized by the Sanjesh Organization in September 2017.
  • 1st Prize for PhD Poster Competition

    date: 2024-04-22

    Description:
    • Awarded the 1st cash prize for the outstanding PhD poster presentation sponsored by Vale.
    • Recognized by CCMEC23 in November 2023.

Skills

  • pandas
  • Deep Learning
  • TensorFlow
  • NumPy
  • Image Processing
  • Docker Products
  • Machine Learning
  • Python (Programming Language)
  • SQL
  • Data Analysis
  • PL/SQL
  • Oracle Database
  • Time Series Analysis
  • Globus
  • High Performance Computing (HPC)
  • Geographic Information Systems (GIS)
  • ArcGIS Pro
  • ArcGIS Survey123
  • Databases
  • Microsoft Office
  • Project Management
  • GitHub
  • Data Science
  • Bash
  • Data Visualization
  • Microsoft Power BI
  • Problem Solving
  • Communication
  • C#
  • C++
  • Earth Science
  • Datasets
  • Teamwork
  • Analytical Skills
  • Geophysical Surveys
  • Pandas (Software)
  • Git
  • Docker
  • Linux
  • MASW
  • Grep
  • Pipe
  • Awk
  • Microsoft Copilot
  • Artificial Intelligence for Business

Certifications

  • Convolutional Neural Networks

    Issue date: Nov 2023,

  • Structuring Machine Learning Projects

    Issue date: Sep 2023,

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Issue date: Sep 2023,

  • Neural Networks and Deep Learning

    Issue date: Aug 2023,

  • CPR/AED/First Aid

    Issue date: Dec 2022,

    Expires date: Dec 2025,