Kourosh Khoshelham

Kourosh Khoshelham is Professor in Spatial Information at the Department of Infrastructure Engineering, Faculty of Engineering and Information Technology, University of Melbourne. He received his PhD in Geoinformatics from the Hong Kong Polytechnic University in 2004. Prior to his current position, he held assistant professor positions at Delft University of Technology and the University of Twente in the Netherlands, as well as at the University of Tehran, Department of Surveying and Geomatics Engineering, from 2005 to 2007. He joined the University of Melbourne in 2015 and has been Professor (Full) in the Department of Infrastructure Engineering since February 2015. He also maintains an affiliation with the University of Twente, Department of Earth Observation Science, since October 2010. Additionally, he serves as Associate Director, Research and Projects, at the University of Melbourne's CDMPS.

Professor Khoshelham's main research areas are 3D modelling and computer vision for civil infrastructure and the built environment, with primary interests in photogrammetry and computer vision. His specializations include mapping and 3D modelling of natural and built environments using photogrammetry and LiDAR technologies, positioning and navigation in indoor environments, augmented reality, and deep learning methods for automated interpretation of imagery and point clouds. Expertise covers spatial analysis, digital mapping, remote sensing, geospatial science, geoinformation, satellite image analysis, and feature extraction. He has co-authored over 140 refereed publications, with 303 listed on ResearchGate and more than 9,700 citations on Google Scholar. Key publications include "Accuracy and resolution of Kinect depth data for indoor mapping applications" (2012, 2,398 citations), "Accuracy analysis of Kinect depth data" (2011, 754 citations), "Real-time monitoring of construction sites: Sensors, methods, and applications" (2022, 473 citations), "Indoor Localization Improved by Spatial Context-A Survey" (2019, 200 citations), "Effect of slope on treetop detection using a LiDAR Canopy Height Model" (2015, 161 citations), "Performance evaluation of automated approaches to building detection in multi-source aerial data" (2010, 160 citations), and "Locomotion activity recognition using stacked denoising autoencoders" (2018, 147 citations). He contributes to the International Society for Photogrammetry and Remote Sensing (ISPRS) as Co-chair of Working Group IV/5 and leader of the ISPRS Benchmark on Indoor Modelling. His research impacts areas such as LiDAR applications for vehicle localization and deformation monitoring, mixed reality visualization, BIM alignment, and environmental monitoring.

Professional Email: k.khoshelham@unimelb.edu.au