Debaditya Acharya

Background

About Debaditya Acharya

Debaditya is a Lecturer in Geospatial Science at RMIT University and teaches Remote Sensing, Photogrammetry and Advanced Imaging Technologies, including LiDAR. His research interests are Computer Vision, Machine Learning, and 3D Building Modelling. Previously, he worked as a CSIRO Early Research Career (CERC) Postdoctoral Fellow, CSIRO, where his work contributed to the Future Science Platforms (FSP) of Machine Learning and Artificial Intelligence (MLAI) and its applications to fisheries. Also, he worked as a postdoctoral research associate at RMIT University, Australia, working on projects related to food automation using computer vision and deep learning. He completed his Doctor of Philosophy from the University of Melbourne, Australia, where he worked on the topic of visual sensing for indoor positioning, which aims at the development of an infrastructure-free indoor positioning technology that is suitable for mass implementation. He has worked in object tracking and positioning in indoor environments, using computer vision and deep learning. His research works are published in international peer-reviewed journals and international conferences.