Curriculum Vitae

Professional Appointments

• Ford Motor Company - Dearborn, MI
  Data Scientist | Gen AI Specialist, Global Data Insight and Analytics
  August 2023 - present
  

Education

• Dual Ph.D., Mechanical Engineering, Civil Engineering (2023)
  Michigan State University, East Lansing, MI
  Advisor: Roozbeh Dargazany, Thomos J. Pence
  

• M.Sc., Mechanical Engineering (2018)
  Sharif University of Technology, Tehran, Iran
  Advisor: Saeed Khodaygan
  

• B.S., Mechanical Engineering (2016)
  Shiraz University, Shiraz, Iran
  Advisor: Esmaeal Ghavanloo
  

Professional Certificates

• Generative AI with Large Language Models
  Coursera
  Date(s): 2024
  

• AI and ML on Google Cloud
  Coursera
  Date(s): 2024
  

• Trusthworthy Generative AI
  Coursera
  Date(s): 2024
  

• Google Project Management
  Coursera
  Date(s): 2024
  

• Application Development with Cloud Run
  Coursera
  Date(s): 2023
  

• Google Cloud Big Data and ML Fundamentals
  Coursera
  Date(s): 2023
  

• Machine Learning in Production
  Coursera
  Date(s): 2023
  

• Prompt Engineering for ChatGPT
  Coursera
  Date(s): 2023
  

• Spark, Hadoop, and Snoflake for Data Engineering
  Coursera
  Date(s): 2024
  

• Working with BigQuery
  Coursera
  Date(s): 2023
  

• SQL for Data Science
  Coursera
  Date(s): 2022
  

• Advanced SQL Bootcamp
  Udemy
  Date(s): 2022
  

• Neural Networks and Deep Learning
  Coursera
  Date(s): 2022
  

• Convolutional Neural Networks
  Coursera
  Date(s): 2022
  

• Git and GitHub
  Udemy
  Date(s): 2023
  

• Python for DS and ML bootcamp
  Udemy
  Date(s): 2022
  

• Tensorflow 2 and Keras DL bootcamp
  Udemy
  Date(s): 2022
  

• Python for Data Science
  Sololearn
  Date(s): 2022
  

Publications

  See publications page.

Presentations

Talks

• Kano Modeling using Explainable Machine Learning for Marketing and Vehicle Design
  By Aref Ghaderi, Hyongju Park
  Presented at Ford AI/ML Conference. September, 2024. Dearborn, MI.

• Electrification AI Assistant for EVs
  By Aref Ghaderi, Hyongju Park
  Presented at Ford AI/ML Conference. September, 2024. Dearborn, MI.

• A Physics-Based Data-Driven Approach for Modeling of Environmental Degradation in Elastomers
  By Aref Ghaderi, Yang Chen, Roozbeh Dargazany
  Presented at International Mechanical Engineering Congress and Exposition (IMECE2022). October, 2022. Columbus, OH.

• Modeling the Burning of Polymer Matrix, Training Collocation Physics-Informed Neural Network
  By Aref Ghaderi, Roozbeh Dargazany
  Presented at International Mechanical Engineering Congress and Exposition (IMECE2022). October, 2022. Columbus, OH.

• A Physics-Informed Neural Network Constitutive Model for Cross-Linked Polymers
  By Aref Ghaderi, Vahid Morovati, Roozbeh Dargazany
  Presented at International Mechanical Engineering Congress and Exposition (IMECE2020). October, 2020. Virtual.

• Uncertainty Quantification in Predicting Behaviour of Rubber-Like Materials in Uni-Axial Loading
  By Aref Ghaderi, Vahid Morovati, Pouyan Nasiri, Roozbeh Dargazany
  Presented at International Mechanical Engineering Congress and Exposition (IMECE2020). October, 2020. Virtual.

Posters

Teaching Experience

• Teaching Assistant, Statics - Spring 2020 - Spring 2023
  Michigan State University, College of Engineering, East Lansing, MI
  

• Teaching Assistant, Advanced Methods in Engineering - Fall 2021
  Michigan State University, College of Engineering, East Lansing, MI
  

• Teaching Assistant, Mechanics of Structures - Fall 2020
  Michigan State University, College of Engineering, East Lansing, MI
  

Awards

• Haythornthwaite Foundation Student Award (2022)
  Awarded by American Society of Mechanical Engineers (ASME).

• University Distinguished Fellowship (2019)
  Awarded by Michigan State University.