My publications span autonomous driving, intelligent transportation systems, motion planning under uncertainty, learning-based control, and dataset-driven research infrastructure.
Academic profiles: Google Scholar | Scopus | ORCID
2025 Advances in Science and Engineering Technology International Conferences (ASET)
Multi-objective robotic path planning using dolphin echolocation optimization.
2025 Advances in Science and Engineering Technology International Conferences (ASET)
A privacy-aware dataset anonymization tool for autonomous-vehicle research.
Research Square preprint
Self-supervised plankton classification via DINO and gradient-based loss re-weighting.
Information Fusion, p. 103588
A survey of trajectory prediction for autonomous driving, including progress, limitations, and future research directions.
2025 IEEE International Conference on Robotics and Automation (ICRA), pp. 16685-16691
An online risk-bounded local-planning method for autonomous driving with theoretical guarantees.
arXiv preprint arXiv:2502.19260 [cs.CV]
A visual multi-task benchmark dataset for autonomous driving.
2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 1–8
A risk-aware graph-based local planner for autonomous driving that integrates spatiotemporal risk assessment and constrained shortest-path optimization.
IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 1, pp. 337-353
A framework integrating signal preemption and dynamic path planning to reduce emergency vehicle delay in connected environments.
2024 Advances in Science and Engineering Technology International Conferences (ASET)
Machine-learning-based multivariate classification of cardiac autonomic neuropathy from imbalanced ECG recordings.
2024 Advances in Science and Engineering Technology International Conferences (ASET), pp. 1-6
Reinforcement learning applied to optimal control design for active suspension systems.
IEEE ACCESS, vol. 12, pp. 85291-85305
A framework that integrates eco-driving strategies for AVs in mixed-traffic urban intersections.
2023 Advances in Science and Engineering Technology International Conferences (ASET), pp. 1-6
A machine-learning approach for detecting unauthorized drone operators.
Khalifa University of Science and Technology
Master's thesis focusing on eco-driving, intelligent traffic signal control, and deep learning-based emergency vehicle prioritization for connected autonomous driving in mixed traffic.
2017 12th International Conference on Computer Engineering and Systems (ICCES), pp. 266–271
A hybrid controller approach applied to a lab-scale I2oT system.
Minia University
Bachelor thesis project focused on applying Industrial IoT (I2oT) to a lab-scale control system using real-time remote monitoring and genetic algorithm-tuned PI controllers.