Official government website of the Government of the Kingdom of Saudi Arabia 
A distinguished scientific environment for research in emerging technologies, contributing to building community knowledge and supporting technological transformation, in pursuit of the objectives of the Kingdom Vision 2030.
Vision
A distinguished national chair in research on emerging technologies, contributing to building community knowledge and enhancing local technological development in this field, achieving the objectives of the Kingdom Vision 2030.
Mission
Providing a distinguished environment for the preparation of scientific research in the fields of emerging technologies and establishing the foundations for the construction of research laboratories in these fields, and providing advisory, training, and community services that enhance the adoption and utilization of emerging technologies in applications that serve the objectives of the vision.
Objectives of the chair
Providing the appropriate scientific environment for the preparation of qualitative research in the various emerging technologies fields.
Support specialized research in emerging technologies and advanced applications in vital sectors.
Innovating new solutions and applications based on emerging technologies to meet the needs of the local community and vital sectors.
Disseminating the knowledge of emerging technologies and promoting community awareness about their importance and applications.
Promote the employment of emerging technologies in Saudi Arabia to ensure efficiency, reliability, and sustainability.
Providing advisory, training, and community services in the fields of emerging technologies.
Exchange of experiences and integration of efforts with institutions and entities concerned with developing and employing emerging technologies locally and internationally.
Research areas of the chair
Drones
3Workshops directed at researchers
+150Beneficiary of the Researchers category
- Tuesday 01 September 2026 — 11:00 AMIt was held successfullyFlexible Air Independence: Tracking Threats and Navigating in the Absence of Satellite Navigation SystemsA scientific meeting organized by the Chair of Emerging Technologies, which included the presentation of projects for unmanned aircraft and drone delivery systems (PSU Drone Delivery System and Drone Management System) as outputs of the RIOTU laboratory.Speaker: M. Mohamed Abdelkader — RIOTU Lab, Prince Sultan University.
- Wednesday 08 April 2026 — 12:00 – 1:00 PMIt was held successfullyAn overview of the future of wireless communications: emerging technologies and the way forwardThe University's Chair of Emerging Technologies is hosting its second 2026 scientific meeting on the future of wireless communications and emerging technologies and the way forward, with registration and attendance via the QR code scan shown in the advertisement.
- February 16, 2026 — 1:00 – 2:00 PMIt was held successfullyTaking advantage of the full potential of the stratosphereThe first scientific meeting of the Chair of Emerging Technologies for 2026, with registration and attendance via the QR code scan shown in the advertisement.
The most important researchers and scientists who have achieved national or international scientific excellence in emerging technologies such as radar, wireless communications, and unmanned aircraft were recruited from several universities, including King Abdullah University of Science and Technology, King Fahd University of Petroleum and Minerals, and Prince Sultan University.
1Number of training programs
12Training hours
+150Beneficiaries
4Trainers
It was held successfully
Innovation Summer 2026
A three-week training program aimed at developing future skills in innovation, entrepreneurship, and emerging technologies through specialized applied training tracks.
July 26 – August 14, 2026Evening period 4:00 – 9:00KOD Laboratory — Al-Qassim University
Routes: Entrepreneurship, artificial intelligence jobs, artificial intelligence programming, e-learning, emerging technologies, digital manufacturing, and modeling.
Workshop «Emerging Technologies and Digital Innovation»: Internet of Things, Smart Cities, and Emerging Technologies
The workshop, which lasted over 3 days in collaboration with Summer Innovation, aims to introduce participants to the basics of the Internet of Things, Smart Cities concepts and emerging technologies supporting them. It relies on simplified explanation and practical application using Arduino, and ends with the design of a prototype of the participants’ ideas.
August 10 – 12, 20264:00 – 8:00 PMKOD Laboratory — Al-Qassim University3 days × 4 hours
Trainers: Dr. Jamal Al-Attibi, M. Abdul Malik Al-Dosari, Nermin Al-Nigadatain, Kayan Al-Qafari.
General objective: Enable participants to understand the basic principles of IoT systems and their applications in Smart Cities and IIoT, learn about the modern technologies associated with them, and build an initial prototype using Arduino and sensors.
Workshop topics
Internet of Things (IoT) Fundamentals
IoT Concepts · IoT Architecture · IoT Applications · Smart Cities Concepts & Architecture
Hardware & Embedded Systems
Hardware Selection · Embedded Systems · Arduino · Sensors & Actuators · Power Management
Connectivity & Practical Development
Communication Protocols · Arduino Programming · Prototype · PCB Design Workflow (Concept)
Advanced IoT Technologies (Theoretical)
FPGA & Chip Design · Edge vs Cloud · AI Integration · Edge AI & TinyML · IoT Security
Emerging IoT Applications (Theoretical)
AR/VR · Drone/UAV · Wearables · IIoT · Smart Infrastructure · Smart Disaster Response
Final Project Workflow
Problem Definition · System Diagram · Prototype · Testing · Presentation & Discussion
Models of completed projects
Rased | Rased — The intelligent system for monitoring environmental conditions
A wearable IoT device monitors temperature, air quality, dust, and gases, calculates exposure time and the level of danger for each worker, and displays the situation in real time to the supervisor in red/yellow/green colors and alerts when the danger level rises.
Techniques: Internet of Things, environmental sensors (temperature and humidity, gases, dust), GPS, connection units (Wi-Fi / LoRa / Bluetooth), color-coded monitoring panel.
Team: Jannan al-Ma’iuf, Ranim al-Harawi, Nawf al-Hazl and other members.
Emâaah | EMA'AH — The smart glove for sign language translation
A wearable smart glove picks up hand signals and analyzes them using artificial intelligence, then instantly sends the audio translation to the collar button so the speech comes out directly — making the conversation faster and more spontaneous without carrying a phone.
Techniques: Flex Sensors, IMU/Gyroscope, ESP32/Bluetooth, Edge AI/Machine Learning, Mini Speaker.
The stages: Connecting the sensors and testing the signals ← Collecting samples and training the artificial intelligence model ← Integrating the glove with the speaker brooch.
Marwa — the smart irrigation system for farms
A system that collects and analyzes farm data from sensors placed in representative locations, compares the soil condition and the needs of the plant and the climatic conditions to provide a clear recommendation for irrigation time and quantity — to reduce water waste and transform the farm into a data-driven environment.
Techniques: ESP32 / Arduino, Wi-Fi + Blynk, flow sensor, relay (Relay / Valve), control panel and recommendations.
Team: Fahad Alshalihi, Kareem Barhamim, Abdullah Barhamim, Ryan Alayyan.
Smart IoT System for Real-Time Exercise Monitoring and Posture Correction
A system based on the Internet of Things uses motion sensors to monitor athletic performance and detect body posture errors in real time, analyzing joint angles and comparing them with the correct position with immediate feedback.
Techniques: Built-in motion sensors (IMU) and measuring belts, ESP32, angle analysis, speed, and repetition count.
Team: Khoula Al Haddlou, Rand Amirini, Rim Al Rashidi — Supervisor: Dr. Jamal Al-Attibi.
Intelligent VR-based Clinical Skill Training: Bridging Virtual and Physical Simulation
Training clinical skills using intelligent virtual reality, linking virtual simulation with physical simulation.
Team: Juri Aldhwayan, Ghala Al-Ayed, Alanoud Alquraish, Shaden almazyad.
Smart Capsule for Ulcerative Colitis Monitoring
A smart ingestible capsule contains a camera and miniature sensors to capture images of the colon, using TinyML to initially process the data and identify the important images, then sending them to the external system for analysis by artificial intelligence.
Techniques: TinyML, Edge Computing, AI + Computer Vision, Cloud.
Team: Manira Alhamidi, Jawdan Alwarqi, Amjad Aljuti, Aman Alwarqi, Noor Al-Adil.
3Activated partnerships
King Abdullah University of Science and Technology
KAUST — Attracting researchers in emerging technologies
King Fahd University of Petroleum and Minerals
KFUPM — Radar and Wireless Communications
Prince Sultan University
PSU — RIOTU laboratory and drones
The email address of the chair
et.chairs@qu.edu.saTo register your interest in the work of the Chair, scan the code:
