Debaditya Acharya
Lecturer at RMIT University
Melbourne, Victoria, Australia
Summary
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Senior🎓
Top SchoolDebaditya Acharya is a Lecturer in Geospatial Science at RMIT University with nine years of experience applying computer vision, machine learning and remote sensing to real-world problems such as indoor positioning, 3D building modelling and food automation. He holds a PhD from the University of Melbourne where he developed infrastructure-free visual sensing for indoor localisation and contributed to the ISPRS benchmark for indoor modelling. His work spans academia and applied research—previously a CSIRO Early Research Career Fellow—where he applied MLAI to fisheries anomaly detection and developed CCTV- and LiDAR-based pedestrian tracking and urban 3D models. Debaditya combines teaching large undergraduate cohorts with supervising masters projects and ethics review service, reflecting strong mentorship and governance experience. He brings a practical systems mindset from earlier engineering roles (including mining operations) that complements his research rigour. Colleagues can expect someone who bridges cutting-edge imaging technologies (LiDAR, photogrammetry) with deployable ML solutions.
9 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology BombayBachelor of Engineering (B.E.), Mining and Geology, Bachelor of Engineering (B.E.), Mining and Geology at Indian Institute of Engineering Science and Technology, Shibpur (formerly B.E.S.U.)The University of Melbourne
English, Hindi, BengaliProgramming languages (1)
Github contributions (5)
debaditya-unimelb/real-time-car-parking-occupancy
Nov 2018 - Sep 2020
Contributions:56 commits, 54 pushes in 1 year 10 months
debaditya-unimelb/RecurrentBIM-PoseNet
Nov 2019 - Nov 2020
Contributions:20 commits, 19 pushes, 1 branch in 11 months
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