Mechanical, Industrial and Manufacturing Engineering

Ala Qattawi

Ala Qattawi headshot photo

Dr. Ala Qattawi

Associate Professor

Nitschke Hall 4048

Phone Number: 419.530.3140

Integrated Design and Manufacturing Lab (IDM)

ORCID ID-Qattawi     @Linkedin-Qattawi  @Teaching Website-Qattawi

Education

  • Postdoctoral Fellow, Clemson University-International Center for Automotive Research (CU-ICAR) & General Motors
  • Ph.D., Clemson University, Automotive Engineering
  • BS, Jordan University of Science & Technology, Industrial Engineering

Awards and Honors

  • Early Career Undergraduate Research Mentoring Award, USA Council on Undergraduate Research (2024)
  • Engineering Research Initiation (ERI), National Science Foundation (2023)
  • Excellence in Supervision of Undergraduate Research Award, University of Toledo (2023)
  • Distinguished Alumni Award, Clemson University (2023)
  • Italian Technology Award for Metalworking. Italian Trade Agency (2023).
  • ORR Award: Best Paper Award. American Society of Mechanical Engineers (2022)
  • Toyota Programmable System Innovation Fellowship Award. Toyota Research Institute (2022)
  • Ralph R. Teetor Educational Award. Society of Automotive Engineers (2021)
  • Outstanding Young Manufacturing Engineer Award. Society of Manufacturing Engineers (2018)
  • Outstanding Advisor Award (2017).
  • Outstanding Women Faculty Award (2017)
  • Emerging Scholar Award. Diverse: Issues in Higher Education (2017)
  • Hellman Faculty Award, Hellman Foundation (2016)

Research Interests

  • Metal Materials Characterization
  • Manufacturing Processes
  • Machine Learning for Manufacturing
  • Additive Manufacturing
  • Design for Manufacturing
  • Origami-Inspired Metal Structures
  • Sustainable Manufacturing
  • Engineering Education

The Integrated Design & Manufacturing Lab at The University of Toledo focuses on investigating the effect of metal forming process parameters on the produced materials and parts characteristics and features. The lab's research aspects include material characterization in the light of processing variables, manufacturing process modeling, and machine learning to provide a sustainable and intelligent design for manufacturing solutions.

Publications

Google Scholar Profile

Teaching

  • Material Characterization
  • Manufacturing Processes
  • Mechanical Design I & II
  • Lean Manufacturing
  • Materials for Automotive Structures
  • Additive Manufacturing
  • Sustainable Design and Manufacturing
Last Updated: 8/8/24