Mohamad Alipour

Mohamad Alipour
Mohamad Alipour
  • Research Assistant Professor
(217) 333-5356
2114 Newmark Civil Engineering Bldg

For More Information


  • Ph.D. in Civil Engineering (Structures), University of Virginia, Charlottesville, VA. 2019.
  • M.S. in Structural Engineering, Tehran Polytechnic, Tehran, Iran, 2010.
  • B.S. in Civil Engineering, Tehran Polytechnic, Tehran, Iran, 2008.


Mohamad Alipour is a research assistant professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. Prior to joining UIUC, Mohamad was a postdoctoral scholar in the Department of Civil and Environmental Engineering at UCLA (2021) and a postdoctoral researcher in the Department of Engineering Systems and Environment at the University of Virginia (2020). Dr. Alipour's research focuses on scalable digitization and automation to tackle the challenges facing our built and natural environments by harnessing big data. His work integrates sensing, data analytics, and artificial intelligence with engineering domain expertise. His most recent research projects leverage deep learning, multi-modal data fusion, computer vision, virtual and augmented reality and digital image correlation for solving real-world challenging problems in structural and infrastructural engineering. Dr. Alipour received his Ph.D. in Civil Engineering (Structures) from the University of Virginia, and a B.S. and M.S. in Structural Engineering from Tehran Polytechnic.

Academic Positions

  • Faculty Fellow, National Center for Supercomputing Applications (NCSA), 2022- Present
  • Research Assistant Professor, University of Illinois at Urbana-Champaign, 2022-Present
  • Postdoctoral Scholar, University of California Los Angeles (UCLA), 2021-2022  
  • Postdoctoral Scholar, University of Virginia, Charlottesville, VA., 2020-2021

Graduate Research Opportunities

Dr. Alipour is looking for highly motivated and hard-working students to join his research group. If you are interested and have competitive educational records and programming skills, please read some of our papers and familiarize yourself with our work (Our research website) and reach out to Dr. Alipour by sending an email that describes:

  • What you can do: describe your problem solving and programming skills, familiarity with machine learning, computer simulations, etc., past publications (if any).
  • Why you specifically want to work with us and how your background and interests align with our program.
  • What research you are interested in: while you may be new to research, we want to know about the types of problems you are excited to work on, why you are interested in them, and why you have the right background to work on them.

For more information on our open positions, please visit here.

Undergraduate Research Opportunities

If you are already at UIUC as an undergraduate student and are interested in getting involved in our research, please reach out to Dr. Alipour via email to schedule a time to talk in his office.

Research Interests

  • Sensing and information extraction in natural and built environments
  • Machine learning and computer vision for smart infrastructure
  • Digital twins and infrastructure digitization
  • Structural health monitoring
  • Automated and augmented structural inspection

Chapters in Books

Selected Articles in Journals

Articles in Conference Proceedings

Other Publications


Journal Editorships

  • Co-Guest Editor, Journal of Sensors, Special Edition on Infrastructure Health Monitoring and Automated Inspection Using Machine Learning and Computer Vision, 2023-Present.
  • Associate editor, Journal of Nondestructive Evaluation, 2022-Present.

Professional Societies

  • Member, ASCE/SEI Bridge & Tunnel Management, Inspection, and Rehabilitation (BTMIR) Committee, 2020-Present.
  • Member, ASCE/SEI Structural Control and Sensing (SC&C) Committee, 2020-Present.
  • Associate Member, American Society of Civil Engineers (ASCE), 2014-Present.
  • Member, American Concrete Institute (ACI), 2014-Present.

Other Outside Service

  • Technical reviewer for journals: Computing in Civil Engineering (ASCE), Bridge Engineering (ASCE), Structural Engineering (ASCE), Advanced Engineering Informatics (Elsevier), Nondestructive Evaluation (Springer), Journal of Structural Control and Health Monitoring (Wiley), Civil Structural Health Monitoring (Springer), Journal of Construction and Building Materials (Elsevier), Thin-Walled Structures (Elsevier), Journal of Pattern Recognition (Elsevier), Journal of Advances in Structural Engineering (SAGE), Journal of Transportation Research Record (SAGE)
  • Technical reviewer for conferences: International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII), Transportation Research Board (TRB) Annual Meeting


  • NCSA Outstanding Academic Year 2023-24 Mentor, National Center for Supercomputing Applications. (2024)
  • Outstanding summer mentor, NCSA Students Pushing for Innovation (SPIN) Program, National Center for Supercomputing Applications. (2023)
  • Aftab Mufti Medal for best paper of the year from the International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII) (2022)
  • Young Professionals Award, Structural Engineering Institute (SEI), American Society of Civil Engineers (ASCE) (2020)
  • Research Excellence Award, Department of Engineering Systems and Environment, University of Virginia (2019)
  • O.H. Ammann Research Fellowship in Structural Engineering, Structural Engineering Institute (SEI), American Society of Civil Engineers (ASCE) (2018)

Teaching Honors

  • University of Illinois List of Teachers Ranked as Excellent by Their Students (Spring 2024) (2024)

Recent Courses Taught

  • CEE 598 DL - Deep Learning for CEE
  • CEE 598 DLO - Deep Sensing for CEE

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