Vasilis Alexandros Naserentin

Senior forskningsingenjör vid Tillämpad matematik och statistik

Vasilis Naserentin is acting as head of development and part of the management team at the Digital Twin Cities Centre (https://dtcc.chalmers.se), a Vinnova competence center hosted by Chalmers University of Technology. 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 for digital twins. 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).

Källa: chalmers.se
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Visar 23 publikationer

2025

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
Artikel i vetenskaplig tidskrift
2024

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 i proceeding
2024

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)
Artikel i vetenskaplig tidskrift
2024

Non-intrusive Weather Analysis for Sustainable Preservation in Cultural Heritage Buildings

Asimina Dimara, Mariya Pantusheva, Radostin Mitkov et al
IFIP Advances in Information and Communication Technology. Vol. 715 IFIPAICT, p. 419-432
Paper i proceeding
2024

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)
Artikel i vetenskaplig tidskrift
2024

Data Collection and Wrangling Towards Machine Learning in LoD2+ Urban Models Generation

Vasilis Alexandros Naserentin, Georgios Spaias, Anestis Kaimakamidis et al
IFIP Advances in Information and Communication Technology. Vol. 715 IFIPAICT, p. 391-404
Paper i proceeding
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 i proceeding
2023

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)
Artikel i vetenskaplig tidskrift
2022

CFD Simulation and 3D Visualization on Cultural Heritage sites: The Castle of Mytilene

Orfeas Eleftheriou, Radostin Mitkov, Vasilis Naserentin et al
Övrigt konferensbidrag
2022

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 i proceeding
2022

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 i proceeding
2022

Digital Twin Cities: Multi-Disciplinary Modeling and High-Performance Simulation of Cities

Anders Logg, Vasilis Naserentin
ECCOMAS NEWSLETTER. Vol. June 2022, p. 26-31
Artikel i övrig tidskrift
2022

Modeling and Simulating Cities with Digital Twins

Anders Logg, Vasilis Naserentin
GIM International. Vol. 36 (6), p. 14-17
Artikel i vetenskaplig tidskrift
2022

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 i proceeding
2021

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 i proceeding
2021

Visual conflicts - Challenges in combining rich volumetric 3D-data in a realistic VR city model

Beata Stahre Wästberg, Fabio Latino, Thommy Eriksson et al
Övrigt konferensbidrag
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
Artikel i vetenskaplig tidskrift
2020

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 i proceeding
2020

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 i proceeding
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
Artikel i vetenskaplig tidskrift
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 i proceeding
2019

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
Övrigt konferensbidrag

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