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Funding Source: NRPU
PI/CO-PI: Dr. Asfand e Yar (PI)
A self-operating robotic vehicle designed for reconnaissance, search-and-rescue, and hazardous environment operations. Equipped with AI and sensors, it navigates terrains autonomously and executes missions efficiently. This technology enhances military, industrial, and disaster response capabilities.
Funding Source: NESCOM
PI/CO-PI: Dr Nadia Imran (PI)
AI-powered ship detection system that uses computer vision to identify and classify ships in maritime environments. It improves surveillance, security, and navigation by providing real-time insights. This system supports defense, coast guard, and shipping industries in monitoring sea traffic.
Funding Source: NESCOM
PI/CO-PI: Dr Sumaira Kausar(PI)
Funding Source: NESCOM
PI/CO-PI: Dr. Sumaira kausar
This project leverages AI and advanced medical technologies for early and accurate disability diagnosis. It integrates machine learning models with medical imaging and wearable sensors for real-time assessments. The system enhances patient care, early intervention, and treatment planning.
Funding Source: King Salman Center of disability research
PI/CO-PI: Dr Sumaira Kausar, Dr Samabia Tehsin
AI-powered tools for detecting early signs of disabilities and providing preventive measures. The system offers personalized interventions, rehabilitation plans, and continuous monitoring. It aims to improve the well-being and daily lives of individuals at risk.
Funding Source: King Salman Center of disability research
PI/CO-PI: Dr Amina Jameel, Dr Shahzad Khalid (Co-PI)
Dr Yazeed Alkharijah (PI) ( Imam Mohammad bin Said Islamic University) Riyadh
AI-driven solutions to assist individuals with disabilities in communication, mobility, and daily tasks. The system includes smart assistive devices, voice recognition, and gesture-based interactions. It aims to improve accessibility and independence for people with disabilities.
Funding Source: King Salman Center of disability research
PI/CO-PI: Dr Samabia Tehsin, Dr Sumaira Kausar (Co-PI)
Dr Mamoona Humayun, Dr Maram Almuferah (PI) (Al Jouf University)
Advanced radar positioning technology that optimizes military communication networks. It ensures precise tracking, efficient signal transmission, and enhanced situational awareness. This system improves defense capabilities, surveillance, and strategic operations.
Funding Source: NESCOM
PI/CO-PI: Dr Nadia Imran (PI)
A graphical user interface (GUI) for controlling a 3-axis turntable servo drive using the Modbus protocol. It enables real-time monitoring, calibration, and automated control of servo motors. This system is ideal for industrial automation and robotics applications.
Funding Source: NESCOM
PI/CO-PI: Dr Nadia Imran
A miniaturized power amplifier PCB designed for sonar-based obstacle detection systems. It enhances sonar signal processing, ensuring efficient navigation and collision avoidance. This technology is applicable in robotics, autonomous vehicles, and underwater exploration.
Funding Source: NESCOM
PI/CO-PI: Syed Umaid Al (PI)
This study explores how attention-based models enhance healthcare and wellness through improved diagnostics, personalized treatment, and predictive analytics. It aligns with Saudi Vision 2030 by promoting AI-driven innovations that advance medical efficiency and patient care.
Funding Source: Al Jouf Research Project
PI/CO-PI: Dr Sumaira Kausar, Dr Samabia Tehsin (Co-PI)
Dr Maram Almuferah (PI), Dr Mamoona Humayun,
This project introduces Aqua Guardian, an AI-powered multi-robot coordinated defense system designed to enhance maritime security. It leverages autonomous surface and underwater robots for real-time threat detection, tracking, and coordinated response in marine environments.
Funding Source: Al Jouf Research Project
PI/CO-PI: Dr Sumaira Kausar, Dr Samabia Tehsin (Co-PI)
Dr Maram Almuferah (PI), Dr Mamoona Humayun,
This project leverages AI to dynamically optimize the performance and efficiency of steam turbines through real-time data analysis and predictive control. It aims to reduce energy losses, enhance operational reliability, and support sustainable industrial growth.
Funding Source: NESCOM
PI/CO-PI: Dr Nadia Imran (PI)
This project focuses on developing an AI-driven system for speaker diarization and identification to accurately distinguish and recognize registered users in real time. It enhances security, personalization, and accessibility in voice-based applications and smart environments.
Funding Source: NESCOM
PI/CO-PI: Dr Samabia Tehsin (PI)
This project utilizes AI-driven adaptive denoising techniques to enhance signal clarity and detection accuracy in naval and marine security systems. It aims to improve threat identification, communication reliability, and situational awareness in complex maritime environments.
Funding Source: NESCOM
PI/CO-PI: Dr Joddat Fatima (PI)
This project involves the design and development of a portable dry bath incubator for precise temperature control in field and laboratory applications. It enables efficient, reliable, and on-the-go incubation for biological and chemical sample processing.
Funding Source: NUMS IRF
PI/CO-PI: Dr Nadia Imran (Co-PI), Dr Babar Jamal Bacha (PI)
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