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Vasilis Naserentin
Vasilis Naserentin
Lead Developer of Digital Twin Cities Centre, Chalmers University of Technology
Dirección de correo verificada de chalmers.se
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Año
Digital twins for cities: A state of the art review
B Ketzler, V Naserentin, F Latino, C Zangelidis, L Thuvander, A Logg
Built Environment 46 (4), 547-573, 2020
1312020
Combining Open source and commercial tools in Digital Twin for cities generation
V Naserentin, S Somanath, O Eleftheriou, A Logg
IFAC-PapersOnLine 55 (11), 185-189, 2022
142022
A continuum-based multiphase DNS method for studying the Brownian dynamics of soot particles in a rarefied gas
AS Kannan, V Naserentin, A Mark, D Maggiolo, G Sardina, S Sasic, ...
Chemical Engineering Science 210, 115229, 2019
72019
Digital twins for city simulation: Automatic, efficient, and robust mesh generation for large-scale city modeling and simulation
V Naserentin, A Logg
arXiv preprint arXiv:2210.05250, 2022
62022
Using the Octree Immersed Boundary Method for urban wind CFD simulations
R Mitkov, M Pantusheva, V Naserentin, PO Hristov, D Wästberg, F Hunger, ...
IFAC-PapersOnLine 55 (11), 179-184, 2022
62022
An urban planning tool demonstrator with auralisation and visualisation of the sound environment
J Forssen, P Hostmad, BS Wastberg, M Billger, M Ogren, F Latino, ...
Forum Acusticum, 869-871, 2020
52020
Virtual City@ Chalmers: Creating a prototype for a collaborative early stage urban planning AR application
F Latino, V Naserentin, E Öhrn, Z Shengdong, M Fjeld, L Thuvander, ...
Proceedings of the eCAADe RIS, 137-147, 2019
42019
DTCC Builder: A mesh generator for automatic, efficient, and robust mesh generation for large-scale city modeling and simulation
A Logg, V Naserentin, D Wästberg
Journal of Open Source Software 8 (86), 4928, 2023
12023
On procedural urban digital twin generation and visualization of large scale data
S Somanath, V Naserentin, O Eleftheriou, D Sjölie, BS Wästberg, A Logg
arXiv preprint arXiv:2305.02242, 2023
12023
Roof Segmentation Towards Digital Twin Generation in LoD2+ Using Deep Learning
N Kolibarov, D Wästberg, V Naserentin, D Petrova-Antonova, S Ilieva, ...
IFAC-PapersOnLine 55 (11), 173-178, 2022
12022
Towards spatial integration of qualitative data for urban transformation–challenges with automated geovisualization of perception of urban places
L Thuvander, F Latino, C Zangelidis, M Adelfio, V Naserentin, A Logg
IOP Conference Series: Earth and Environmental Science 588 (5), 052041, 2020
12020
Towards digital twinning for multi-domain simulation workflows in urban design: a case study in Gothenburg
A Gonzalez-Caceres, F Hunger, J Forssén, S Somanath, A Mark, ...
Journal of Building Performance Simulation, 1-22, 2024
2024
A Review and Case Study of Neural Network Techniques for Automated Generation of High Level-of-Detail 3D City Models
V Naserentin, G Spaias, A Kaimakamidis, N Pitsianis, A Logg
International Seminar on Gas Kinetic/Dynamics and Life Science, 261-283, 2021
2021
Wind Comfort Analysis Using an Immersed Boundary Method for Early-Stage Building Design
R Mitkov, F Hunger, M Pantusheva, V Naserentin, A Gösta, A Mark, ...
Available at SSRN 4741573, 0
Visualisation of traffic noise exposure and health impact in a 3D urban environment
M Ögren, J Forssén, P Höstmad, BS Wästberg, M Billger, V Naserentin, ...
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