Rate My Professor Mohammad Awrangjeb

Dr. Mohammad Awrangjeb is a Senior Lecturer in the School of Information and Communication Technology within Griffith Sciences at Griffith University, a position he has held since January 2020, following his initial appointment as Lecturer from 2016 to 2019. He obtained his PhD from Monash University in 2008. Prior to Griffith University, he worked as a Senior Research Fellow at the University of Melbourne and as a Research Fellow at Monash University. His academic career builds on expertise developed in computer vision and geospatial data processing. Awrangjeb's research focuses on 3D building extraction and modeling from airborne LiDAR point clouds, automatic feature extraction and matching from images and point clouds, robust image corner detection, pattern recognition, and remote sensing applications including rooftop solar potential estimation and multi-temporal change detection for asbestos roofing. He has made significant contributions to automated building detection techniques, integrating LiDAR data with multispectral imagery for urban mapping and environmental monitoring.

Awrangjeb received the Australian Research Council Discovery Early Career Researcher Award (DECRA) under project DE120101778 for his work on building change detection and map updates using multispectral images, spanning 2012 to 2017. Key publications include 'Automatic building detection using LIDAR data and multispectral imagery' (2010), 'Automatic segmentation of raw LIDAR data for extraction of buildings' (2014), 'A Triangulation-based Technique for Building Boundary Regularisation' (2015), 'Classifier-free Extraction of Power Line Wires from Point Clouds' (2018), and 'Multi-temporal change detection of asbestos roofing' (2024). He teaches IT Services Management at undergraduate and master's levels since 2018, and Database Design/Data Management. Awrangjeb supervises postgraduate research students and contributes to professional activities, including serving on organizing committees for international conferences such as IGARSS 2025. He is a Senior Member of IEEE. His research outputs demonstrate impact in advancing data-driven strategies for geospatial analysis and urban infrastructure assessment.