Kehinde Elelu

Kehinde Elelu
kehindeelelu@gmail.com
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Welcome!

I currently working as PostDoc at Michigan State University in the DeepTech lab where I am currently working on leading the development and commercialization of a smartphone-based acoustic diagnostic system paving the way for product launch

Prior to that, I completed my Ph.D. in Engineering at Clemson University. My dissertation focused on focuses on Human-AI interaction and its application in the construction industry. More specifically on sound equipment and the ability to process this massive audio data using Machine Learning to innovate computerized technologies in managing construction projects.

I also have a bachelor's degree in Engineering from University of Ilorin, Kwara, Nigeria.

News

  • March 2025
    Completed the W25 University of Michigan I-Corps Course.
  • February 2025
    Started as a Research Associate at DeepTech Lab working on commercializing Diagnostic Technology.
  • December 2024
    Awarded the Venture Fellow Scholarship
  • December 2024
    Graduated from my PhD program
  • November 2024:
    Defended my PhD thesis at Clemson University.

Publications and Posters

  • Collision hazard detection for construction worker safety using audio surveillance.
    Elelu, K., Le, C. & Le, T. ASCE Journal of Construction Engineering and Management, 149 (1), 04022159 (Editor’s Choice), 2023
  • Augmented Hearing of Auditory Safety Cues for Construction Workers: A Systematic Literature Review.
    Dang, K., Elelu, K., Le, C. & Le, T. Sensors, 22 (23), 9135, 2022
  • Equipment Sounds’ Event Localization and Detection Using Synthetic Multi-Channel Audio Signal to Support Collision Hazard Prevention.
    Elelu, K., Le, T. & Le, C. Buildings, 14 (11):3347, 2024
  • Sample Legal Provision Retrieval Using Topic Clustering to Support Utility Relocation Agreement Drafting in Highway Projects.
    Elelu, K., Do, Q., Le, T. & Piratla, K. ASCE Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 16 (2), 04523058, 2024
  • Wearable Device for Struck-by Hazard Identification and Localization Using Multi-Channel Audio Signal Processing.
    Elelu, K., Do, Q., Le, T. & Le, C. Automation in Construction (Under review)
  • Enhancing Auditory Safety Warnings in Highway Construction Zones with Loud Noise Using Generative Artificial Intelligence.
    Nguyen, T., Elelu, K., Le, C. & Le, T. ASCE Journal of Construction Engineering and Management (Under review), 2024