Aiman Nabilah Noor Azmi Email & Phone Number

Selangor, Malaysia

Subang Jaya, Selangor, Malaysia

Proven ability to lead and manage teams, conduct GIS analyses, capture and process aerial and mobile mapping data, and deliver accurate, high-quality geospatial deliverables.Key Achievements:• Successfully led and managed the agriculture mapping team, ensuring the achievement of all project objectives and the smooth execution of comprehensive site assessments to complement aerial mapping activities.• Accumulated over 100 flying hours while conducting aerial mapping operations with an eVTOL UAV equipped with RGB and multispectral sensors, maintaining a flawless safety record.• Processed, conducted rigorous quality checks (QC), and meticulously edited aerial orthomosaic images to produce seamless, high-quality outputs that met or exceeded customer specifications.• Conducted extensive GIS analyses and built robust geodatabases for various purposes, including:- Plant stress studies to identify areas requiring targeted intervention.- NPK content analysis to optimize fertilizer application and improve crop yields.- Tree counting QC for accurate inventory and sustainable plantation management.- Boundary and infrastructure digitization for precise spatial planning and resource allocation.- Geomorphological and hydrological assessments to inform informed decisions on land use and erosion control.• Verified and validated the accuracy and completeness of geospatial data collected through aerial and mobile mapping operations before final client delivery.

Serdang, Selangor, Malaysia

Developed a near-perfect AI model (95% accuracy) for early detection of Ganoderma boninense in oil palms, enabling effective disease intervention through hyperspectral imaging and machine learning.Key Achievements:• Pioneered the use of hyperspectral imaging to detect Ganoderma boninense in oil palm seedlings before physical symptoms arose, potentially saving valuable time and resources in combating this devastating fungal disease.• Successfully designed and implemented hyperspectral imaging systems within a controlled greenhouse environment, overcoming challenges associated with uneven illumination to ensure accurate data collection.• Utilized and optimized MATLAB machine learning algorithms that achieved a near-perfect classification model (95% accurate) in differentiating healthy seedlings from those infected with Ganoderma boninense, paving the way for early and effective disease intervention strategies.• Authored comprehensive scientific reports documenting research methodologies, findings, and implications, and presented research results at national conferences, effectively communicating complex scientific concepts to a broader audience.• Demonstrated strong organizational and management skills, efficiently managing laboratory operations, procuring necessary equipment, and scheduling equipment usage to optimize research productivity.

Serdang, Selangor, Malaysia

Cultivated a dynamic learning environment in the laboratory through student mentorship, comprehensive instruction on equipment and techniques, and rigorous safety protocols.Key Responsibilities:• Empowered undergraduate learning:- Mentored students during tutorial classes, providing individualized guidance and clear explanations on the application of laboratory equipment and experimental techniques.• Ensured operational efficiency and safety:- Prepared, constructed, and operated laboratory apparatus and equipment, adhering to strict safety protocols and procedures.- Overseen day-to-day laboratory operations, maintaining equipment functionality and cleanliness.• Facilitated knowledge assessment:- Managed student assignments and lab reports, providing constructive feedback and fair evaluations.

M.Sc., Remote Sensing

Dissertation: Early detection of Ganoderma boninense in oil palm seedlings using hyperspectral images and machine learning classification.

B.Eng., Agricultural And Biosystem Engineering

Dissertation: Classification model for severity level of Ganoderma in oil palm tree using various physical properties extracted.