About me

I am currently a dual major student at UMASS Amherst, pursuing a Ph.D. in Civil Engineering and an M.S. in Computer Science. My Ph.D. thesis centers on the application of Machine Learning to predict the optimal timing for railway maintenance using large datasets. My research extends to the field of NLP, particularly investigating the memorization capacity of LLMs and their robustness towards entity replacement within an in-context learning setup.

Eduction

University of Massachusetts Amherst (4/4)        Sep 2021-Dec 2023
M.S. Computer Science (Concentration in Data Science) (Double Major)

  • Relative courses: Advanced NLP, Neural Networks, Information Retrieval, Advanced Algorithm

University of Massachusetts Amherst (3.96/4)        Sep 2019-Dec 2023
Ph.D. Civil Engineering

  • Thesis: Application of Machine Learning in improving maintenance scheduling of railway tracks

Iran University of Science and Technology (3.72/4)        Sep 2014-Nov 2016
M.S. Civil Engineering

Iran University of Science and Technology (3.51/4)        Sep 2010-Sep 2014
B.S. Railway Track Engineering

Experience

  • University of Massachusetts Amherst
    • Research Assistant
    • Sep 2019 - Present
  • Meta
    • Graduate Research Assistant
    • Feb 2023 - June 2023
  • Loram Technologies, Inc
    • Data Scientist Intern
    • June 2022 - Sep 2022
  • University of Massachusetts Amherst
    • Teaching Assistant
    • Jan 2021 - May 2021

Selected Publications

Stochastic analysis for estimating track geometry degradation rates based on GPR and LiDAR data
Saeed Goodarzi, Hamed F Kashani, Anahita Saeedi, Jimi Oke, Carlton L Ho
Construction and Building Materials, 2023

Data-driven methods to predict track degradation: A case study
Saeed Goodarzi, Hamed F Kashani, Jimi Oke, Carlton L Ho
Construction and Building Materials, 2022

Using large datasets for finding the correlation between the rate of track settlement and changes in geometry indices
Saeed Goodarzi, Hamed F Kashani, Steven Chrismer, Carlton L Ho
Transportation Geotechnics, 2021

Comparative analysis of soft computing techniques in predicting the compressive and tensile strength of seashell containing concrete
Pourya Alidoust, Saeed Goodarzi, Amir Tavana Amlashi, Łukasz Sadowski
European Journal of Environmental and Civil Engineering, 2022

Soft computing based formulations for slump, compressive strength, and elastic modulus of bentonite plastic concrete
Amir Tavana Amlashi, Seyed Mohammad Abdollahi, Saeed Goodarzi, Ali Reza Ghanizadeh
Journal of Cleaner Production, 2019