Medhini Heeramaglore, M.Tech. (Geomatics)

E-Mail:	medhini.heeramaglore@tum.de
Telefon:	+49.89.289.22517
Raum:	0772
Anschrift:	Technische Universität München Medhini Heeramaglore Lehrstuhl für Geoinformatik Arcisstraße 21 80333 München
Sprechzeiten:	Nach Vereinbarung per E-Mail

Forschung

Geospatial Information Science	WiSe 2223, WiSe 2324
Spatial and Semantic Modelling of the Environment	SoSe 2022, SoSe 2023, SoSe 2024
Geoinformatik Projektarbeit	SoSe 2022, SoSe 2023
Applied Geoinformatics II	WiSe 2324

Since 2021

AI4TWINNING

Semantically Enriched Voxels as a Common Representation for comparison and evaluation of 3D building models
7th Smart Data Smart Cities and 17th 3DGeoInfo Joint International Conference, UNSW Sydney, Australia - October 2022
Digital Twin Data Consistency Across Multiple Representations
1st GNI General Assembly, Munich, Germany - November 2022
Artificial Intelligence for the automated creation of multi-scale digital twins of the built world – AI4TWINNING
18th 3DGeoInfo International Conference, Munich, Germany - September 2023
Digital Twin Data Consistency Across Multiple Representations
2nd GNI General Assembly, Munich, Germany - November 2023

Borrmann, Andre; Biswanath, Manoj Kumar; Braun, Alex; Zhaiyu, Chen; Cremers, Daniel; Heeramaglore, Medhini; Hoegner, Ludwig; Mehranfar, Mansour; Kolbe, Thomas H.; Petzold, Frank; Rueda, Alejandro; Solonets, Sergei; Zhu, Xiaoxiang: Artificial Intelligence for the automated creation of multi-scale digital twins of the built world – AI4TWINNING. Proc. of the 18th 3D GeoInfo Conference, 2023 mehr… BibTeX

Heeramaglore, Medhini; Kolbe, Thomas H.: Semantically Enriched Voxels as a Common Representation for Comparison and Evaluation of 3D Building Models. Proceedings of the 17th International 3D GeoInfo Conference 2022 (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences), 2022 mehr… BibTeX