Vasilis Alexandros Naserentin

Senior Research Engineer at Applied Mathematics and Statistics

Vasilis Naserentin is the lead software architect of the Digital Twin Cities Centre (https://dtcc.chalmers.se), a Vinnova competence center hosted by Chalmers."He is actively involved in the research and development of digital twins for urban environments, focusing on their creation, improvement, and enrichment. Moreover, his research is focused on high performance computing applications, mainly in the field of multiphysics simulations and data fusion in the urban scale. He is keen on employing state of the art software and computer engineering technologies (including Artificial Intelligence, general-purpose computing on graphic cards, mixed reality applications, cloud and edge computing) into different tracks of scientific research. Vasilis is also an application expert for InfraVis, the National Research Infrastructure for Scientific Visualization (https://infravis.se).

Source: chalmers.se
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Showing 21 publications

2025
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Towards digital twinning for multi-domain simulation workflows in urban design: a case study in Gothenburg

Alex Arnoldo Gonzalez Caceres, Franziska Hunger, Jens Forssén et al
Journal of Building Performance Simulation. Vol. 18 (3), p. 311-332
Journal article
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2024
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Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data

Sanjay Somanath, Vasilis Naserentin, Orfeas Eleftheriou et al
Remote Sensing. Vol. 16 (11)
Journal article
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2024
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A Scalable and User-Friendly Framework Integrating IoT and Digital Twins for Home Energy Management Systems

Myrto Stogia, Vasilis Naserentin, Asimina Dimara et al
Applied Sciences. Vol. 14 (24)
Journal article
2024
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The Role of Computational Fluid Dynamics within City Digital Twins: Opportunities and Challenges

Radostin Mitkov, Mariya Pantusheva, Dessislava Petrova-Antonova et al
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. 10 (4/W4-2024), p. 131-136
Paper in proceeding
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2023
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DTCC Builder: A mesh generator for automatic, efficient, and robust mesh generation for large-scale city modeling and simulation

Vasilis Naserentin, Anders Logg, Dag Wästberg
Journal of Open Source Software. Vol. 8 (86)
Journal article
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2023

A Review and Case Study of Neural Network Techniques for Automated Generation of High Level-of-Detail 3D City Models

Vasilis Naserentin, Georgios Spaias, Anestis Kaimakamidis et al
Springer Proceedings in Mathematics and Statistics. Vol. 429, p. 261-283
Paper in proceeding
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2022
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CFD Simulation and 3D Visualization on Cultural Heritage sites: The Castle of Mytilene

Orfeas Eleftheriou, Radostin Mitkov, Vasilis Naserentin et al
Other conference contribution
2022
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Roof Segmentation Towards Digital Twin Generation in LoD2+Using Deep Learning

N. Kolibarov, Dag Wästberg, Vasilis Naserentin et al
IFAC-PapersOnLine. Vol. 55 (11), p. 173-178
Paper in proceeding
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2022
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Using the Octree Immersed Boundary Method for urban wind CFD simulations

R. Mitkov, M. Pantusheva, Vasilis Naserentin et al
IFAC-PapersOnLine. Vol. 55 (11), p. 179-184
Paper in proceeding
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2022
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Digital Twin Cities: Multi-Disciplinary Modeling and High-Performance Simulation of Cities

Anders Logg, Vasilis Naserentin
ECCOMAS NEWSLETTER. Vol. June 2022, p. 26-31
Magazine article
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2022

Modeling and Simulating Cities with Digital Twins

Anders Logg, Vasilis Naserentin
GIM International. Vol. 36 (6), p. 14-17
Journal article
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2022
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Combining Open Source and Commercial Tools in Digital Twin for Cities Generation

Vasilis Naserentin, Sanjay Somanath, Orfeas Eleftheriou et al
IFAC-PapersOnLine. Vol. 55 (11), p. 185-189
Paper in proceeding
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2021
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Visualisation of traffic noise exposure and health impact in a 3D urban environment

Mikael Ögren, Jens Forssén, Patrik Höstmad et al
Paper collection of the ICBEN 2021 Congress
Paper in proceeding
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2021
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Visual conflicts - Challenges in combining rich volumetric 3D-data in a realistic VR city model

Beata Stahre Wästberg, Fabio Latino, Thommy Eriksson et al
Other conference contribution
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2020

Digital Twins for Cities: A State of the Art Review

Bernd Ketzler, Vasilis Naserentin, Fabio Latino et al
Built Environment. Vol. 46 (4), p. 547-573
Journal article
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2020
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An urban planning tool demonstrator with auralisation and visualisation of the sound environment

Jens Forssén, Patrik Höstmad, Beata Stahre Wästberg et al
Proceedings of the FA2020 Conference, p. 869-871
Paper in proceeding
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2020
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Towards spatial integration of qualitative data for urban transformation – challenges with automated geovisualization of perception of urban places

Liane Thuvander, Fabio Latino, Christoforos Zangelidis et al
IOP Conference Series: Earth and Environmental Science. Vol. 588 (5)
Paper in proceeding
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2019

A continuum-based multiphase DNS method for studying the Brownian dynamics of soot particles in a rarefied gas

Ananda Subramani Kannan, Vasilis Naserentin, Andreas Mark et al
Chemical Engineering Science. Vol. 210
Journal article
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2019

Virtual City@Chalmers: Creating a prototype for a collaborative early stage urban planning AR application

Fabio Latino, Vasilis Naserentin, Erik Öhrn et al
Proceedings of the 7th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, p. 15-24
Paper in proceeding
2019
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A novel multiphase DNS method for the resolution of Brownian motion in a weakly rarefied gas using a continuum framework

Ananda Subramani Kannan, Vasilis Naserentin, Andreas Mark et al
Other conference contribution

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Showing 1 research projects

2018–2020

SensIT - Sensor driven cloud-based strategies for infrastructure management

Carlos Gil Berrocal Structural Engineering
Anders Logg Applied Mathematics and Statistics
Vasilis Naserentin Applied Mathematics and Statistics
Ignasi Fernandez Structural Engineering
Rasmus Rempling Structural Engineering
WSP Group
NCC AB
Swedish Transport Administration
Microsoft Research
Thomas Concrete Group

13 publications exist
There might be more projects where Vasilis Alexandros Naserentin participates, but you have to be logged in as a Chalmers employee to see them.

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