Our team was awarded by DOT to establish a $30M Regional University Transportation Center (UTC).
Ali H. A. Al-dabbagh
Postdoctoral Research Associate
ACCESS Laboratory
Department of Electrical and Computer Engineering
North Carolina A&T State University Greensboro, NC, 27411
Email: ahaldabbagh@ncat.edu
Robotics
Computer vision
Machine learning
Intelligent transportation
Ali H. A. Al-dabbagh holds a Ph.D. in Engineering Sciences and Technology from UCLouvain (Belgium) and a Master’s degree in Electronics Engineering from Flinders University (Australia). He is currently a Postdoctoral Researcher at North Carolina A&T State University, where his research focuses on autonomous and intelligent systems, with an emphasis on multimodal sensing, computer vision, and sensor fusion for robust perception and decision-making in real-world environments.
PhD in Engineering Sciences and Technology, UCLouvain University - Belgium (2019-2022).
Master in Electronics Engineering, Flinders University - Australia (2013-2015)
Al-dabbagh, A.H. and Ronsse, R., 2020. A review of terrain detection systems for applications in locomotion assistance. Robotics and Autonomous Systems, 133, p.103628.
Al-Dabbagh, A.H. and Ronsse, R., 2022. Depth vision-based terrain detection algorithm during human locomotion. IEEE Transactions on Medical Robotics and Bionics, 4(4), pp.1010-1021.
Al-dabbagh, A.H. and Ronsse, R., 2021, September. Using depth vision for terrain detection during active locomotion. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 508-515). IEEE.