Artificial Intelligence &
Data Analytics Lab

First Multidisciplinary Research Lab at Prince Sultan University, Riyadh, KSA

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THROUGH THE LENS

Our Lab in Action

The Artificial Intelligence and Data Analytics (AIDA) Lab is the first interdisciplinary lab at Prince Sultan University (PSU). The lab mainly focuses on the study and development of advanced AI & Data Science theories, novel algorithms and techniques in the fields of medical informatics, document information security, text mining, NLP, smart healthcare applications, IoT and security etc. The AIDA lab also fosters its activities to align with national priorities, particularly the 2020 National Transformation Plan, Saudi Vision 2030 and SDGs 20230. In particular, with a strategic vision for the future, AIDA is working on emerging topics to address real-time industry and society challenges.

Vision

To be recognized as the premier interdisciplinary Artificial Intelligence and Data Analytics research lab in the Kingdom of Saudi Arabia, advancing a smart and sustainable future by synergizing academia, industry, and talent—empowering national transformation in alignment with Saudi Vision 2030.

Mission

Our mission is to lead cutting-edge research in Artificial Intelligence and Data Analytics, tackling real-world challenges with innovative and sustainable solutions.

We are dedicated to fostering inclusive research ecosystems that empower women, nurture diverse talent, and inspire the next generation of leaders in science and technology.

Through strategic partnerships with academia, industry, and government, we strive to deliver impactful innovations that accelerate digital transformation and contribute meaningfully to national development — all in alignment with the goals of Saudi Vision 2030.



OUR WORKS

Transforming Lives Through Quality Contributions

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Paper Publications

Research papers across various disciplines

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Patents

Innovative solutions and technologies

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SAR Funding

Grants and investments in R&D

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Hosted Conferences

International academic and tech events

Voices from Our Community

Testimonials

Rabia Javeed

Researcher

A creative and dedicated research lab, facilitate to learn and produce the best research output.

Irum Afzal

Researcher

Most inspiring lab environment and open to accept ideas and collaboration.

Hiba Ilyas

Data Science Club Member

A very supportive and dedicated lab that supports the students to build their own projects.

Fetoun Alzahrani

Researcher

AIDA Lab fosters an environment where innovation isn't just encouraged—it's expected. The projects emerging from this lab consistently tackle real-world problems with creativity and technical depth.

Asma Khan

Data Science Club Member

Joining AIDA Lab was a turning point in my academic journey. The mentorship, hands-on experience, and exposure to cutting-edge technologies allowed me to grow from a student to a confident contributor in the AI community.

Portfolio

CHECK OUR PORTFOLIO

  • All
  • AI for Health
  • Intelligent IoT Systems
  • Computer Vision & Recognition
  • Data Science
  • Bootcamps

IoT - Smart Home Systems

An IoT-based smart home system for real-time remote control of appliances, lighting, temperature, and security.

Smart Object Recognition System

A real-time object detection system using MobileNetSSD accurately identifies everyday objects through webcam input, ideal for edge and mobile applications.

AI-Driven Drowsiness Detection System

An AI-powered drowsiness detection system that uses computer vision to proactively identify early signs of fatigue and enhance public safety.

NeuroVisi

NeuroVision is a deep learning-powered platform that analyzes brain MRI scans in real time for accurate tumor detection and smarter clinical decision-making.

Percevo

Percevo is an AI-powered smart cane attachment that enhances navigation for visually and hearing-impaired users through real-time object detection, audio feedback, and haptic alerts.

Smart Irrigation System for Sustainable Farming

An AI-driven IoT-based smart irrigation system that optimizes water usage, enhances agricultural efficiency, and supports sustainable farming through real-time data analysis and remote monitoring.

Time Series Forecasting for Sustainable Power Consumption Prediction

A deep learning model using LSTM accurately predicts power consumption from historical data, supporting efficient energy management in smart grids.

Handwritten Digit Recognition

Recognizing handwritten digits within documents and translating them into text, using NLP with Tensorflow