Samira Ardani, PhD

Physical Scientist III at Lynker
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Location
Omaha, Nebraska, United States, US

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Credentials

  • Deep Learning in Python
    DataCamp
    Dec, 2022
    - Sep, 2024
  • Machine Learning fundamentals with Python
    DataCamp
    Dec, 2022
    - Sep, 2024
  • Online Teaching
    Center for Transformative Teaching, University of Nebraska-Lincoln.
    May, 2020
    - Sep, 2024
  • Data Scientist with Python (Numpy, Pandas, Data cleaning, Data manipulation, Visualization using Matplotlib, Statistical thinking, Machine Learning, etc.)
    DataCamp
    Jan, 2019
    - Sep, 2024
  • Graduate Teaching Academy
    Texas A&M University
    Apr, 2014
    - Sep, 2024

Experience

    • United States
    • Environmental Services
    • 200 - 300 Employee
    • Physical Scientist III
      • Apr 2023 - Present

      Expertise: Ocean model verification - Evaluate and assess the guidance provided by ocean forecast models. - Work with forecasters in the NWS field and NCEP National Centers to keep them informed of model biases and upcoming changes, and investigate model problems that they report. - Provide general support on verification of ocean model output. - Interact with NOAA/NWS/NCEP/EMC and external partner domain scientists and engineers. Expertise: Ocean model verification - Evaluate and assess the guidance provided by ocean forecast models. - Work with forecasters in the NWS field and NCEP National Centers to keep them informed of model biases and upcoming changes, and investigate model problems that they report. - Provide general support on verification of ocean model output. - Interact with NOAA/NWS/NCEP/EMC and external partner domain scientists and engineers.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Post-Doctoral Research Associate
      • Feb 2020 - Jan 2023

      Expertise: Structural engineering, Structural Health Monitoring • Implemented Transfer Learning (TL) and Machine Learning (ML) methods for knowledge transfer between a group of simulated bridges with some degree of similarity: o Joint Distribution Adaptation (JDA) for feature transfer. o Kernel Nearest Neighbor (KNN) classifier for supervised learning. • Implemented TL using Artificial Neural Networks (ANN). • Applied Artificial Intelligence for bridge health monitoring and damage detection utilizing Proper Orthogonal Decomposition (POD) and Transfer Learning (TL). • Evaluated the POD method for damage detection using recorded data from three real out-of-service bridges by imposing the controlled damages- data-driven approach. • Led and organized field testing of five bridges from simulation and analysis to real tests at site: o Implemented Finite Element Analysis (FEA) of the bridges using SAP2000. o Simulated the bridges response after imposing each damage scenario. o Planned optimized arrangement for sensors (strain transducers) and accelerometers. o Conducted the tests on the field before and after imposing controlled damages. o Post-processed the collected data from field tests. o Analyzed the bridge behavior for different damage scenarios. • Developed an application for bridge health monitoring and edge computing using Python tkinter GUI and used API Flask to share the results on the web. • Implemented bridge load rating using AASHTO LRFD and MBE (Manual for Bridge Evaluation) by collecting data from sensors and accelerometers. • Prepared the final report for funded research for Nebraska Department of Transportation (NDOT) entitled “Low-cost modal identification sensors for bridge field testing”. • Prepared proposals and research statements of need for NDOT. • Mentored two undergraduate scholars through SRP and REU summer programs (2020-2022). • Taught MENG 3250, Mechanics of Elastic Bodies, Summer 2020, Summer 2021. Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant Professor
      • Sep 2017 - Jan 2020

      Expertise: Coastal and Offshore Engineering • Lab Instructor for ENGR 216, Experimental Physics and Engineering Lab II – Mechanics (Five Sections). • Lab Instructor for PHYS 201, Physics lab (Five Sections). • Lab Instructor PHYS 218, Physics lab (Three Sections). • Research Faculty for managing ENGR 111, Foundations of Engineering, (Three sections), Fall 2017. Expertise: Coastal and Offshore Engineering • Lab Instructor for ENGR 216, Experimental Physics and Engineering Lab II – Mechanics (Five Sections). • Lab Instructor for PHYS 201, Physics lab (Five Sections). • Lab Instructor PHYS 218, Physics lab (Three Sections). • Research Faculty for managing ENGR 111, Foundations of Engineering, (Three sections), Fall 2017.

    • Lecturer
      • Jan 2017 - May 2017

      • Taught CVEN 302, Computer Application in Engineering and Construction. • Led CVEN 302 computer lab. • Taught CVEN 302, Computer Application in Engineering and Construction. • Led CVEN 302 computer lab.

    • Research Assistant
      • Jun 2011 - May 2016

      Expertise: Coastal and Offshore Engineering• Implemented model optimization, and uncertainty quantification using Bayesian Statistical Techniques and Markov Chain Monte Carlo (MCMC).o Simulated nearshore wave modeling using SWAN and DELFT 3D.o Analyzed the numerical modeling results.o Implemented MCMC algorithm using coupled Delft 3D-SWAN-MATLAB.• Developed a mathematical model; and its numerical model using FORTRAN for fully dispersive nonlinear waves in frequency domain (topic of dissertation).o Utilized nonlinear wave theory for mathematical derivation.o Implemented CFD methods to solve ODEs and PDEs for numerical simulations of nonlinear nearshore waves.o Utilized signal processing tools for frequency domain implementations.• Simulated free surface waves using MATLAB. Show less

    • Graduate Lecturer
      • Jan 2015 - May 2015

      • Taught CVEN 302, Computer Application in Engineering and Construction.• Led CVEN 302 computer lab.

    • Iran
    • Chemical Manufacturing
    • 200 - 300 Employee
    • Civil Engineer
      • Sep 2005 - Jul 2010

      Expertise: Civil Engineering • Implemented analysis and design of petrochemical structures. • Communicated with the field engineers to conduct civil engineering projects. • Prepared engineering reports. • Conducted engineering meetings. • Evaluated technical proposals. Expertise: Civil Engineering • Implemented analysis and design of petrochemical structures. • Communicated with the field engineers to conduct civil engineering projects. • Prepared engineering reports. • Conducted engineering meetings. • Evaluated technical proposals.

    • Iran
    • Appliances, Electrical, and Electronics Manufacturing
    • 100 - 200 Employee
    • Intern
      • Jun 2003 - Sep 2003

      Expertise: Civil Engineering • Worked in embankment dams unit- Analysis of the dams using FLAC. Expertise: Civil Engineering • Worked in embankment dams unit- Analysis of the dams using FLAC.

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