KAUST Ph.D. student Matthias Müller won the Best Paper/Presentation Award at the 2nd International Workshop on Computer Vision for Unmanned Aerial Vehicles for his paper on teaching UAVs to navigate a racecourse autonomously. The paper, "Teaching UAVs to Race: End to End Regression of Agile Controls in Simulation," details research on training a deep neural network to predict UAV controls from raw image data. The research uses imitation learning with data augmentation to allow for correction of navigation mistakes, outperforming state-of-the-art methods. Why it matters: This award recognizes KAUST's contributions to computer vision and autonomous drone navigation, important areas for future applications in logistics, surveillance, and environmental monitoring in the region.
KAUST Ph.D. student Jinhui Xiong won the best paper award at the 24th International Symposium on Vision, Modeling, and Visualization in Germany for his paper "Stochastic Convolutional Sparse Coding". The paper, co-authored with KAUST Professors Peter Richtárik and Wolfgang Heidrich, introduces a novel stochastic spatial-domain solver for Convolutional Sparse Coding (CSC). The proposed algorithm outperforms state-of-the-art solutions in terms of execution time and offers an improved representation for learning dictionaries from sample images. Why it matters: This award recognizes significant research in efficient image representation and dictionary learning, contributing to advancements in visual computing and AI at KAUST.
A robotics team from KAUST's Robotics, Intelligent Systems, and Control (RISC) lab won the "Best Air Team" special award and the European Global Navigation Satellite Systems Agency special prize at the European Robotics League Emergency Robots Challenge in Sevilla, Spain. The KAUST team, led by Kuat Telegenov and advised by Professor Jeff Shamma, competed against international teams in aerial robotic challenges. The competition aimed to encourage advancements in autonomous capabilities and seamless outdoor/indoor navigation for robots. Why it matters: The awards recognize KAUST's contributions to robotics research and highlight the importance of developing autonomous systems for emergency response and complex environments.
KAUST Ph.D. student Khalil Moussi won two awards at the IEEE International Conference on Nano/Micro Engineered and Molecular Systems for his research on a miniaturized drug delivery system. The system, developed in collaboration with KAIMRC, uses 3D printing and wireless power to deliver drugs for coronary artery disease treatment. The device features an electrochemical micro-pump, a 3D printed reservoir with microneedles, and a wireless powering unit, allowing customization for various in vivo drug delivery applications. Why it matters: This recognition highlights KAUST's contributions to biomedical engineering and its potential to develop innovative solutions for critical healthcare challenges in the region and beyond.
KACST and KAUST are collaborating on two research projects using KACST's Saker 4 drone. The first project prototypes a UAV-based flash flood monitoring system using disposable microsensors. The second augments UAV navigation with vision to improve takeoff and landing via a new runway detection algorithm. Why it matters: This collaboration showcases the growing sophistication of Saudi Arabia's indigenous drone capabilities for environmental monitoring and advanced navigation research.