The Robotics and Internet-of-Things Lab (RIOTU Lab) was the first research lab to be established in Prince Sultan University, under the College of Computer and Information Sciences. It was first established as a research unit in September 2016 under the Innovation Center and then promoted into a research lab in September 2017. The lab is currently led by Prof. Anis Koubaa. The RIOTU Lab deals with multi-disciplinary topics related to Robotics and Internet-of-Things. In particular, it has four main overlapping research tracks: (i) deep learning and artificial intelligence, (ii) unmanned systems, (iii) internet-of-things, and (iv) emerging technologies. The objective of the lab is to conduct scientific research, develop training programs, and attract external funds related to the areas of Robotics and Internet-of-Things.
To be an internationally recognized centre in Robotics and Internet-of-Things (IoT).
The Robotics and Internet-of-Things (RIOTU) Research Lab focuses on the integration of Robots into the Internet of Things to promote new types of applications that leverage the use of these two technologies. RIOTU Lab has a long expertise in developing solutions for Internet-of-Things and Mobile Robots. The Research Lab also fosters its activites to be aligned with national priorities in particular the 2020 National Transformation Plan and 2030 Vision. In particular, with a strategic vision for the future. The Robotics and Internet of Things lab at Prince Sultan University is working in emerging topics and offers Postdoc conducts research in six main areas:
• Aerial Images Analysis • Convolutional Neural Networks • Semantic Segmentation • People Behavior Analysis Using Computer Vision • Remote Sensing
• Multi-Robot Coordination • Design and Control of Drones and Robots • Integration of Drones and Robots to Internet and Cloud • Cloud Robotics • Robot Software Engineering • Robot Operating System (ROS, ROS2) • Computer Vision
• Intelligent Transportation System • Remote Sensing • Vehicular Networks • IoT Applications • IoT Networking and Protocols • LoRA-based IoT • Security, Trust, and Privacy • Web Services and SOA
• Data Science • Cloud/Fog/Edge Computing • Single Board Clusters • Efficient VM Placement in Clusters • Green and Energy Aware Data Centers • Big Data Analytics