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Faculty + Staff

Mohammad
El Yabroudi
Assistant Professor

Dr. El-Yabroudi earned his Ph.D. in Electrical and Computer Engineering from Western Michigan University, specializing in autonomous vehicles and robotics. His recent research focuses on mixed traffic environments and their impact on road safety. In earlier work, he explored LiDAR point cloud processing, tackling challenges such as depth completion and clustering. He has also contributed to the advancement of wireless sensor networks by proposing and implementing various power-aware architectures and topologies. His research has been presented at numerous conferences and published in prestigious journals, including Electronics, SAE International, Ad Hoc Networks, and Sensors.

Research Interests
  • Autonomous vehicles
  • Robotics
  • Machine learning in autonomous vehicles
  • Artificial intelligence in autonomous vehicles
  • Sensor signal analysis and understanding
  • Sensor fusion
  • Perception algorithms
  • Wireless sensor networks
  • Safety in transportation

Selected Publications

  • El-Yabroudi, M., Pothuguntla, S. H., Ghadi, A., & Muniandi, B. (2025). Harnessing Generative AI for Text Analysis of California Autonomous Vehicle Crashes OL316 (2014–2024). Electronics, 14(4), 651.
  • Muniandi, B., Wan, S., & El-Yabroudi, M. (2024). Bi-Directional Charging with V2L Integration for Optimal Energy Management in Electric Vehicles. Electronics, 13(21), 4221.
  • El-Yabroudi, M. Z., Abdel-Qader, I., Bazuin, B. J., Abudayyeh, O., & Chabaan, R. C. (2022). Guided depth completion with instance segmentation fusion in autonomous driving applications. Sensors, 22(24), 9578.
  • El-Yabroudi, M., Awedat, K., Chabaan, R. C., Abudayyeh, O., & Abdel-Qader, I. (2022, May). Adaptive DBSCAN LiDAR point cloud clustering for autonomous driving applications. In 2022 IEEE International Conference on Electro Information Technology (eIT) (pp. 221-224). IEEE.
  • Goberville, N., El-Yabroudi, M., Omwanas, M., Rojas, J., Meyer, R., Asher, Z., & Abdel-Qader, I. (2020). Analysis of LiDAR and camera data in real-world weather conditions for autonomous vehicle operations. SAE International Journal of Advances and Current Practices in Mobility, 2(2020-01-0093), 2428-2434.
  • Darabkh, K. A., El-Yabroudi, M. Z., & El-Mousa, A. H. (2019). BPA-CRP: A balanced power-aware clustering and routing protocol for wireless sensor networks. Ad Hoc Networks, 82, 155-171.

» Document Viewer

Use Your Cell Phone as a Document Camera in Zoom

  • What you will need to have and do
  • Download the mobile Zoom app (either App Store or Google Play)
  • Have your phone plugged in
  • Set up video stand phone holder

From Computer

Log in and start your Zoom session with participants

From Phone

  • Start the Zoom session on your phone app (suggest setting your phone to “Do not disturb” since your phone screen will be seen in Zoom)
  • Type in the Meeting ID and Join
  • Do not use phone audio option to avoid feedback
  • Select “share content” and “screen” to share your cell phone’s screen in your Zoom session
  • Select “start broadcast” from Zoom app. The home screen of your cell phone is now being shared with your participants.

To use your cell phone as a makeshift document camera

  • Open (swipe to switch apps) and select the camera app on your phone
  • Start in photo mode and aim the camera at whatever materials you would like to share
  • This is where you will have to position what you want to share to get the best view – but you will see ‘how you are doing’ in the main Zoom session.