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AMAN Lab — AI for Monitoring & Assessment of NDT. AMAN Lab develops intelligent solutions for civil infrastructure safety and resilience.

Welcome To The Aman lab

AI for Monitoring & Assessment of NDT (AMAN) Lab at the College of Engineering, Taif University, is inviting motivated Undergraduate and Graduate Students, PhD Researchers, Postdoctoral Fellows, and Experts to join our team. We welcome applicants with backgrounds in civil engineering, computer science, electrical engineering, or mechanical engineering who are passionate about applying advanced technologies to improve infrastructure safety and resilience. Our research combines Artificial Intelligence (AI), Nondestructive Testing (NDT), Structural Health Monitoring (SHM), and Digital Twin technologies, with applications in smart cities and smart infrastructures, including AI-driven sensing for bridges and buildings, drone-based inspection, multi-modal sensing systems (ultrasonic, infrared, and vision-based), predictive maintenance, and data analytics for sustainable infrastructure management.

Research Interests

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Non-Destructive Testing

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Structural Health Monitoring

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AI in Infrastructure

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Smart SensingTechnologies

We welcome applications from highly motivated students..

We welcome applications from highly motivated undergraduate and graduate students, PhD researchers, postdoctoral fellows, and experts to join the AI for Monitoring & Assessment of NDT (AMAN) Lab at Taif University. We are particularly interested in candidates with backgrounds in civil engineering, computer science, electrical engineering, or mechanical engineering, and with a strong interest in applying advanced technologies to address research challenges in smart cities and smart infrastructures (e.g., drone-based remote sensing, sensing system development for smart structures and lifelines, multimodal sensing integration, data analytics, and computer vision for damage detection).

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Preferred qualifications include:

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  • Basic programming skills (e.g., Python, MATLAB)

  • Basic website development skills and experience

  • Hands-on experience with laboratory or field experiments

  • Strong teamwork, communication skills, and professional work ethics
     

Contact Details
📧 enad.1@hotmail.com | m.abdulkarem@tu.edu.sa

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Prospective Graduate Student

To express your interest in joining the group,  (with “Prospective Ph.D. students” Decisions will be made soon once applicants have strong and matched backgrounds. Applications for research interns and visiting scholars/students are also welcome.

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