Dr. El-Yabroudi, Assistant Professor and Director of the Master of Science in Electrical and Computer Engineering program (MSECE), 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

• Guduri, M., Polavarapu, A., El Yabroudi, M., Thota, S. K., Gummadi, H. S. B., & Chennupati, N. (2026). A Novel Framework on Cardiovascular Disease Prediction Using Transfer Learning Technique. In International Conference on Trends in Sustainable Computing and Machine Intelligence (pp. 81-93). Springer, Cham.
• Abushattal, M., Alhomaidat, F., & El-Yabroudi, M. (2025). Effects of intersection control types on driver yielding behavior to cyclists using mixed logit modeling. Scientific Reports, 15(1), 1-14.
• Al Mamlook, R., Elgeberi, N., El-Yabroudi, M., Mohamed, F. A., Albibas, H. N., Nasr, H. S., … & Essgaer, M. (2025, September). Simulation Based Machine Learning Approach for Predictive Analytics in Oil and Gas Operations. In 2025 Interdisciplinary Conference on Electrics and Computer (INTCEC) (pp. 1-6). IEEE.
• Al Mamlook, R., Abdulhameed, T. Z., Alsoussia, M., Gharaibeh, T., Talaat, A. S., El-Yabroudi, M., … & Elgeberi, N. (2025, June). Optimizing machine learning models based on hyperparameter tuning for Arabic fake news detection. In 2025 9th International Symposium on Innovative Approaches in Smart Technologies (ISAS) (pp. 1-9). IEEE.
• Al Mamlook, R., Abdulhameed, T. Z., Alsoussia, M., Gharaibeh, T., Talaat, A. S., El-Yabroudi, M., … & Elgeberi, N. (2025, June). Optimizing Machine Learning Models based on Hyperparameter Tuning for Arabic Fake News Detection. In 2025 9th International Symposium on Innovative Approaches in Smart Technologies (ISAS) (pp. 1-9). IEEE.
• El-Yabroudi, M., Ghadi, A., Alhomaidat, F., & Al Mamlook, R. E. (2025, May). Towards Safer Mixed Traffic: A Deep Learning Approach to Autonomous Vehicle Detection and Driver Awareness. In 2025 IEEE International Conference on Electro Information Technology (eIT) (pp. 213-218). IEEE.
• 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.