CV

General Information

Full Name Masoud Masoumi
Languages English, Persian (Farsi)

Experience

  • 2024 - present
    Data Scientist
    Internal Revenue Service, New York, NY
  • 2022 - present
    Adjunct Professor (part time)
    The Cooper Union, New York, NY
  • 2021 - present
    Associate (part time)
    Columbia University, New York, NY
  • 2024 - 2024
    Physical Scientist
    NOAA's National Ocean Service, Silver Spring, MD
  • 2022 - 2024
    Assistant Professor of Mechanical Engineering
    Manhattan College, The Bronx, NY
  • 2019 - 2022
    Visiting Assistant Professor of Mechanical Engineering
    Manhattan College, The Bronx, NY
  • 2018 - 2019
    Chief Technology Officer
    Brimes Energy, Holbrook, NY
  • 2015 - 2018
    Mechanical Engineer (part time)
    Brimes Energy, Holbrook, NY
  • 2018
    Mechanical Engineering Instructor (part time)
    Duro Workforce, The Bronx, NY
  • 2014 - 2015
    CAE Engineer (part time)
    Energystics LTD, Stony Brook, NY

Education

  • 2018
    Doctor of Philosophy in Mechanical Engineering
    Stony Brook University, New York, USA
    • Focus on Design and Manufacturing
    • Minor in Energy Technology
    • Thesis: 'Guided Wave Simulation in Long Pipes using Hybrid Modeling'
  • 2012
    Master of Science in Mechanical Engineering
    Semnan University, Semnan, Iran
    • Thesis: 'Damage Identification in Beam-Type Structures via Modal Analysis'
  • 2009
    Bachelor of Science in Mechanical Engineering
    Semnan University, Semnan, Iran

Certificates & Trainings

  • 2023
    NSF I-Corps Hub Northeast Region
    • Led technical aspects, conducted customer interviews, identified market opportunities, and refined the commercialization strategy for an innovative gravity-based energy storage system.
  • 2023
    Master's Certificate in Applied Mathematics - Data Analytics
    • Coursework included: Computational Methods for Analytics, Machine Learning, Probability and Statistics for Analytics, Database Methods for Analytics, Data Mining, and Computing in R.
  • 2020
    Deep Learning Specialization
    • Coursework included: Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, Convolutional Neural Networks, and Sequence Models.
  • 2019
    IBM Data Science
    • Coursework included: What is Data Science?, Tools for Data Science, Data Science Methodology, Python for Data Science, AI & Development, Databases and SQL for Data Science with Python, Data Analysis with Python, Data Visualization with Python, Machine Learning with Python, and Applied Data Science Capstone.
  • 2019
    The Fundamentals of Engineering (FE)
  • 2016-2017
    Alan Alda Center for Communicating Science
    • Coursework included: Distilling Your Message, Improvisation for Scientists, Writing to be Understood, and Engaging Key Audiences.

Grants

  • 2023 - 2024
    Currents to Current: Converting River Energy to Electricity (20,000 USD)
    The U.S. Department of Energy
  • 2023
    Development of a Physics-Informed Model for a Fluid-Structure Interaction Environment: Gearing Toward a Simulation of a Hydrokinetic Energy Harvesting System (3000 USD)
    Manhattan College
  • 2022 - 2023
    Piezoelectric Based River Current Energy Harvester (20,000 USD)
    The U.S. Department of Energy
  • 2021
    Wave Characteristics Prediction Using Machine Learning Algorithms (30,000 JPY)
    Institute of Ocean Energy at Saga University
  • 2020 - 2021
    Ocean Wave Energy Converter Module for Observation and Navigation Buoys (20,000 USD)
    The U.S. Department of Energy

Honors & Awards

  • 2023
    • Top ten finalist for the Federal Aviation Administration Data Challenge (Link)
    • Winner of the Connection Creation Contest at 2023 Marine Energy Collegiate Competition (Link)