Ayman Amer
Khalifa University of Science and Technology, Saudi Aramco (Saudi Arabia), King Abdullah University of Science and Technology Physical Sciences and Engineering Division
Research areas: Engineering · Mechanical Engineering · Photovoltaic System Optimization Techniques · Non-Destructive Testing Techniques · Smart Agriculture and AI
About
Programs Manager at ADNOC/Khalifa University (KU) and Inventor, with over 14 years of R&D experience in the Oil and Gas industry. Ayman specialize in sensors and digital transformation technologies that drive sustainability. Ayman's core expertise spans advanced monitoring techniques, asset integrity, NDT inspection, and corrosion management, with a strong focus on electromagnetic sensor design, NDT technologies, rapid prototyping, mobile robotics, and intelligent systems.
Ayman is co-inventor of two commercialized proprietary robotic technologies and one AI-based sensing technology currently in use. Ayman hold over 35 granted patents and more than 20 filed patents in applied robotics and sensing. His research contributions include two peer-reviewed journal publications and six conference papers.
Ayman work has been recognized with several prestigious awards, including: Saudi Aramco CEO Recognition for Excellence (2014 & 2016), IFIA Industry Glory Medal (2013), ADIPEC Breakthrough Research of the Year (2018), Saudi Aramco Corporate Innovation Board Recognition (2020), Exceptional Safety Achievement Recognition Program (ESARP) Award (2021), and Downstream Technology and Digital Excellence Award (2022)
Employment
-
Khalifa University of Science and Technology Program Manager2024 - Present
-
Saudi Aramco (Saudi Arabia) Engineer I2012 - 2024
Education
-
King Abdullah University of Science and Technology Physical Sciences and Engineering Division A Master of Engineering
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- Simulation of SESAME’s Synchrotron Storage Ring for the Pressure Predictions in Vacuum System Save
- A Review of Corrosion under Insulation: A Critical Issue in the Oil and Gas Industry Save
- Artificial Intelligence AI Assisted Thermography to Detect Corrosion Under Insulation CUI Save
- Artificial Intelligence to Enhance Corrosion Under Insulation Inspection Save
- Numerical modeling for terahertz testing of non-metallic pipes Save
- Applicability of Dimedone Assays for the Development of Online Aldehyde Sensor in Seawater Flooding Systems Save
- A market survey of offshore underwater robotic inspection technologies for the oil and gas industry Save
- Dust mitigation in the desert: Cleaning mechanisms for solar panels in arid regions Save