Mohd Nadzri Md Reba, PhD

Associate Professor
Director of Geoscience and Digital Earth Centre (INSTeG)
Member of Institute of Electrical and Electronics Engineers (IEEE) and International society for optics and photonics (SPIE)
Member of Institution of Geospatial and Remote Sensing Malaysia (IGRSM)
Member of Malaysia Board of Technologists (MBOT)
Research interest: Machine Learning and Deep Learning; Remote Sensing; Earth Observation for Environment
people.utm.my/nadzri

Areas of expertise

Professor Nadzri’s research interests are in satellite oceanography, weather radar, satellite glacier mapping, multispectral UAV, high resolution aerosol mapping and microwave lidar. Specifically, his research focuses on:

Teaching and research in signal processing
Remote sensing, atmospheric science, climatology, precision agriculture, environmental science & polar science
Current projects on deep learning for remote sensing, satellite oceanography, weather radar, glacier/polar mapping, multispectral and thermal UAS, aerosol mapping and microwave sensing

Publications

Etim Eyo, Mazlan Hashim, Mohd Nadzri Md Reba, Temel Bayrak, Himan Shahabi (2023). Kinematic Analysis of Small and Slow-Moving Landslides Using Pleiades-1 Satellite Data. IEEE Access, Volume: 11: 47979 – 47993. DOI : 10.1109/ACCESS.2023.3276359

Wan Norsyuhada Che Wan Zanial, Marlinda Abdul Malek, Mohd Nadzri Md Reba, Nuratiah Zaini, Ali Najah Ahmed, Mohsen Sherif, Ahmed Elshafie (2023). Rainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM -TRMM): A case study in Hulu Terengganu catchment, Malaysia. Heliyon Open access, VOLUME 9, ISSUE 5, E15740. DOI: 10.1016/j.heliyon.2023.e15740

Wan Norsyuhada Che Wan Zanial, Marlinda Binti Abdul Malek, Mohd Nadzri Md Reba, Nuratiah Zaini, Ali Najah Ahmed, Mohsen Sherif & Ahmed Elshafie (2023). River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network. Springer Link, 13, Article number: 28. DOI: 10.1007/s13201-022-01830-0