RIOTU

Robotics & Internet-of-Things

The first established research lab at Prince Sultan University

Research Numbers

Explore key research metrics that showcase our commitment to innovation, collaboration, and academic excellence

Publications

Showcasing impactful publications, our research contributions drive innovation and knowledge across diverse fields, reflecting our dedication to academic excellence.

Projects

With innovative projects, we are advancing research and delivering solutions that address real-world challenges, fostering growth and innovation.

Conferences

Participated in impactful conferences, fostering collaboration, sharing groundbreaking research, and contributing to advancements across diverse fields.

Books

Featuring published books, our research efforts contribute valuable knowledge and insights, enriching academic and professional communities.

Research Areas

RIOTU Lab develops real-world solutions, secures external funding, provides consultancy, and trains the community while actively engaging students in cutting-edge research. RIOTU Lab is actively exploring emerging topics and conducts research in four main areas:

Robotics & Unmanned Systems
Computer Vision
Natural Language Processing & LLM
Internet of Things & Intelligent Transportation

Recent News

Stay updated with the latest breakthroughs, events, and achievements shaping our research and innovation journey

First SAIP-Recognized Patent for Prince Sultan University

We are thrilled to announce a groundbreaking achievement for RIOTU Lab and Prince Sultan University (PSU)! Our patent, "Detection of the Red Palm Weevil Infestation in Palm Farms," has been officially accepted...

Certification of Excellence

Dr. Wadii Boulila awarded for his recognition of outstanding achievements and contributions as one of the Top 3 Faculty Members for the Most Impactful Research Output of Pure Lab Papers at Prince Sultan University in 2023.

5000 UAV Synthetic Trajectories Dataset is Released!

We are thrilled to release our UAV trajectories datasets which we generated using our FlightGen tool. This tool automates the generation of arbitrary random synthetic UAV trajectories using ROS 2 and...

Our SMART-TRACK framework is published in IEEE Sensors journal with open-source code!

SMART-TRACK is a novel multi-modal sensor fusion framework for robust real-time object detection and tracking in 3D.

RADAR: A Rapid Discovery Algorithm for Routes in SDN-based IoV

We are excited to announce that our pure research lab paper, "RADAR: A Rapid Discovery Algorithm for Routes in SDN-based IoV," has been published in Digital Communications and Networks...

Route planning in VANET-oriented grid networks

This research presents a novel heuristic approach to route planning in VANET-oriented grid networks, contributing to advancements in intelligent transportation systems.

A Rapid Discovery Algorithm for Routes in SDN-based IoV

Congratulations to Dr. Zahid Khan along with his co-authors Dr. Nauman Khan, Prof. Anis Koubaa, Dr. Adel Ammar, and Dr. Wadii Boulila on the publications of their paper entitled "RADAR: A Rapid Discovery Algorithm for Routes in...