Deep Learning for Machine Vision Artificial Vision
Biography
Abdulla Al-Kaff is an Assistant Professor and Senior Researcher at the Intelligent Systems Laboratory (LSI), Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, with a solid theoretical and mathematical background in the fields of Artificial Vision, Artificial Intelligence, and localization algorithms for Intelligent Systems and Automotive ground and aerial vehicles.
He graduated from Aden University in Computer Science and Engineering in 2007 with a grade (Very good) and ranked as the third in his class, and obtained his master degree in Robotics and Automation with grade (Excellent) in 2012 from Universidad Carlos III de Madrid, where he obtained his Ph.D. degree in Electrical Engineering, Electronics, and Automation in 2017 with a grade (Excellent with Cum Laude), with a thesis titled "Vision-based navigation system for Unmanned Aerial Vehicles (UAVs)", which proposed a robust navigation system; in order to allow the UAVs to perform complex tasks autonomously and in real-time. The proposed algorithms deal with solving the navigation problem for outdoor as well as indoor environments, mainly based on visual information that is captured by monocular cameras. In addition, this dissertation presents the advantages of using the visual sensors as the main source of data or complementing other sensors in providing useful information; in order to improve the accuracy and the robustness of the sensing purposes.
During his Ph.D., Abdulla got a European patent in designing a UAV with an advanced visual system for the inspection for the defects in buildings and infrastructures.
In addition, Abdulla was awarded as the best Ph.D. thesis in Spain in Intelligent Transportation Systems.
His current research interests focused on computer vision, deep learning, trajectories planning, control engineering, intelligent systems, autonomous vehicles, and Unmanned Aerial Vehicles (UAV), and he has a lot of publications in these fields.
Research Interests:
Computer Vision
Deep and Machine Learning
Control Systems
Intelligent Systems
Autonomous Vehicles
Unmanned Aerials Vehicles
