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I’m excited to share my new open-access paper, “Graph-Derived and Geometric Drivers of Pollutant Dispersion in Urban Env...
21/09/2026

I’m excited to share my new open-access paper, “Graph-Derived and Geometric Drivers of Pollutant Dispersion in Urban Environments: Learning from Water Distribution Networks,” published in Computation (MDPI).

In this work, we explore whether topological properties of flow networks — originally inspired by water distribution systems — can help explain how gaseous pollutants disperse through urban environments. Using wind-tunnel data for a representative urban layout, we build a directed flow graph from local velocity fields and compute graph-based metrics such as node degree, betweenness centrality, and topological distances. We then test how well these metrics, together with geometric predictors, explain measured concentration distributions from multiple emission sources.

The paper is open access, so anyone can read it here:

Predicting air pollutant dispersion in complex urban environments traditionally relies on computationally intensive fluid dynamics simulations or empirical Gaussian models. This study explores whether topological network properties—originally derived from fluid flow concepts in pipe networks—can...

https://www.preprints.org/manuscript/202609.1465
17/09/2026

https://www.preprints.org/manuscript/202609.1465

Accurate prediction of wind speed percentiles is essential for diverse applications, including wind energy assessment, infrastructure resilience to extreme winds, and the reliable operation of wind turbines. Among these, the 25th percentile—commonly referred to as the first quartile—plays a key ...

https://www.preprints.org/manuscript/202609.1344
16/09/2026

https://www.preprints.org/manuscript/202609.1344

Computational Fluid Dynamics (CFD) simulations based on Reynolds-Averaged Navier-Stokes (RANS) models are widely used for spacecraft cabin ventilation design; however, they primarily provide mean-flow quantities and often underestimate velocity extremes relevant to crew comfort, ventilation effectiv...

Καλησπέρα,Στο παρακάτω link μπορείτε να διαβάσετε το νέο μου άρθρο στην εφημερίδα Χρόνος.
01/09/2026

Καλησπέρα,

Στο παρακάτω link μπορείτε να διαβάσετε το νέο μου άρθρο στην εφημερίδα Χρόνος.

Γράφει ο Γιώργος Ευθυμίου

18/08/2026

Call for Papers: Special Issue on "Advances in Computational Intelligence for Environmental Fluid Mechanics"

I am delighted to announce that I am serving as the Guest Editor for a new Special Issue in the journal Computation (MDPI).

Aim & Scope:
Environmental Fluid Mechanics is at a crossroads—traditional CFD approaches struggle with real-time prediction, high computational costs, and source inversion from sparse data. This SI aims to bridge the gap by harnessing cutting-edge Computational Intelligence (CI) techniques—including Machine Learning, Deep Learning, GNNs, PINNs, and HPC—to tackle challenges in urban air quality, atmospheric dispersion, renewable energy, and climate-resilient infrastructure.

Topics of interest include (but are not limited to):
• AI-driven surrogate models for turbulent flows & dispersion
• Inverse modelling for source term estimation (urban/industrial accidents)
• Physics-ML hybrid frameworks for Navier-Stokes & porous media flows
• Unsupervised clustering for 3D environmental data (pore/graph networks)
• Probabilistic forecasting of extreme wind/pollution events
• AI-enhanced risk assessment for hazardous releases

Deadline for manuscript submissions: 17 April 2027

I warmly invite researchers, PhD students, and professionals working at the intersection of AI and environmental fluid dynamics to consider submitting their work. Please feel free to share this with your networks.

Από την αποκατάσταση του Ιερού Κουβουκλίου στην πρόβλεψη ακραίων ανέμων – Η δύναμη της data-driven μηχανικής 🏛️🌍💨Λίγοι γ...
18/04/2026

Από την αποκατάσταση του Ιερού Κουβουκλίου στην πρόβλεψη ακραίων ανέμων – Η δύναμη της data-driven μηχανικής 🏛️🌍💨

Λίγοι γνωρίζουν ότι η αποκατάσταση του Ιερού Κουβουκλίου του Παναγίου Τάφου στα Ιεροσόλυμα δεν ήταν απλώς ένα έργο πολιτιστικής κληρονομιάς, αλλά και ένα από τα πιο πρωτοπόρα data-driven έργα μηχανικής παγκοσμίως.

Η ομάδα του Εθνικού Μετσόβιου Πολυτεχνείου (ΕΜΠ) χρησιμοποίησε:
✅ μη καταστροφικό έλεγχο
✅ δυναμική ψηφιακή τεκμηρίωση
✅ ψηφιακά δίδυμα (digital twins)

Την ίδια ακριβώς φιλοσοφία —δεδομένα, προσομοίωση υψηλής ακρίβειας, ανθεκτικότητα υποδομών— εφαρμόζουμε και στην FLUENC.

🔹 Προβλέπουμε ακραίες τιμές ταχύτητας ανέμου για αιολικά πάρκα
🔹 Μοντελοποιούμε διασπορά ρύπων σε αστικές περιοχές
🔹 Αναπτύσσουμε ψηφιακά δίδυμα για ενεργειακές υποδομές
🔹 Συμμετέχουμε σε ευρωπαϊκά έργα (CALIPSO, CRETE VALLEY, BEST-Storage)

Η μηχανική του μέλλοντος είναι data-driven. Και εμείς είμαστε ήδη εκεί.

🔗 www.fluenc.gr

#ΠολιτιστικήΚληρονομιά #ΑνανεώσιμεςΠηγέςΕνέργειας #Ανθεκτικότητα #Μηχανική

From the restoration of the Holy Edicule to extreme wind prediction – The power of data-driven engineering 🏛️🌍💨

Few people know that the restoration of the Edicule of the Holy Sepulchre in Jerusalem was not just a cultural heritage project — it was also one of the world's most pioneering data-driven engineering projects.

The NTUA team used:
✅ non-destructive testing
✅ dynamic digital documentation
✅ digital twins

At FLUENC, we apply the same philosophy — data, high-fidelity simulation, infrastructure resilience — to energy and environmental challenges.

🔹 Predicting extreme wind speeds for wind farms
🔹 Modelling pollutant dispersion in urban areas
🔹 Developing digital twins for energy infrastructure
🔹 Participating in EU projects (CALIPSO, CRETE VALLEY, BEST-Storage)

The future of engineering is data-driven. And we are already there.

🔗 www.fluenc.gr

My main research interest includes the examination of the wind flow field and the dispersion of airborne materials in the urban and industrial environments.

Η FLUENC στηρίζει συνεργάτες και τεχνικούς επαγγελματίες.Θέλω να συστήσω θερμά την ομάδα της Ραπτόπουλος, μιας αξιόπιστη...
17/04/2026

Η FLUENC στηρίζει συνεργάτες και τεχνικούς επαγγελματίες.

Θέλω να συστήσω θερμά την ομάδα της Ραπτόπουλος, μιας αξιόπιστης ελληνικής εταιρείας στο χώρο των εργαλείων, των αναλωσίμων λείανσης, των μετρητικών οργάνων και των μηχανημάτων για ξυλουργική, μεταλλοτεχνία και βιομηχανία.

Είναι χαρά μου να βλέπω μια επιχείρηση που παρέχει:
✅ Σμυριδόχαρτα και ρολά λείανσης (όλο το φάσμα κόκκων)
✅ Κονδύλια καρβιδίου, φρέζες, τριβεία
✅ Ψηφιακά και αναλογικά παχύμετρα ακριβείας
✅ Ηλεκτρικά εργαλεία και μηχανολογικό εξοπλισμό

Αν δραστηριοποιείστε σε τεχνικές, βιομηχανικές ή κατασκευαστικές εφαρμογές και χρειάζεστε αξιόπιστο προμηθευτή, επικοινωνήστε μαζί τους.

🔗 https://www.raptopoulos.gr/

Συγχαρητήρια! Καλή δύναμη στην ομάδα σας. 💪🔧

#Ραπτόπουλος #Εργαλεία #Βιομηχανία #ΤεχνικόςΕξοπλισμός

FLUENC supports technical professionals and reliable partners.

I would like to introduce the team at Raptopoulos, a trusted Greek company specializing in industrial tools, abrasives, measuring instruments, and machinery for woodworking, metalworking, and manufacturing.

It’s a pleasure to see a business that delivers:
✅ Sanding rolls and abrasives (full range of grits)
✅ Carbide end mills, milling cutters, sanders
✅ Digital and analog precision calipers (0‑150mm, data output options)
✅ Power tools and engineering equipment

If you are in engineering, construction, or industrial production and need a dependable supplier, reach out to them.

🔗 https://www.raptopoulos.gr/

Congratulations! Wishing your team great success. 💪🔧

Η Επιχείρηση Θ. Ι. Ραπτόπουλος & ΣΙΑ Ο.Ε. ιδρύθηκε το 1982 από τον Ναυπηγό μηχανολόγο με ειδίκευση στην μετταλιολογία, Ιορδάνη Θ. Ραπτόπουλο. Μέχρι σήμερα δραστηριoποιο....

Our eyes are spending 100+ hours/week on screens – and it's harming our ability to think creatively and lead effectively...
17/04/2026

Our eyes are spending 100+ hours/week on screens – and it's harming our ability to think creatively and lead effectively

I recently came across an article in Fast Company (Nixon, 2026) that made me pause.

We often talk about "visionary leadership" – seeing around corners, spotting patterns, imagining futures. But what happens when the physical instrument of vision itself is under siege?

According to VSP Vision Care data cited in the article:

📊 66% of workers now experience at least one eye issue (up from 50% just three years ago)
📊 We spend 100+ hours per week in front of screens – phones, tablets, monitors, TVs
📊 High "visual load" is linked to reduced creativity, poorer problem-solving, and diminished cognitive health

As a mechanical engineer and CFD researcher, I see both a challenge and an opportunity here.

Indoor environmental quality – lighting, ventilation, workspace layout – is not a luxury. It is infrastructure for productivity and leadership.

At FLUENC, we are already working on:
✅ Predicting natural ventilation for optimal working conditions
✅ Modeling indoor air quality in office environments (projects: OFFICAIR, HEALS, LIFE VISIONS)
✅ EU-funded projects for healthy and sustainable buildings

🔗 FLUENC:

I am Dr. George C. Efthimiou, a Senior Research Scientist and Mechanical Engineer with a PhD in Mechanical Engineering. With over 15 years of experience in Computational Fluid Dynamics (CFD) and atmospheric dispersion modelling, I have dedicated my career to advancing our understanding of complex en...

I'm happy to share a Call for Papers for a timely Special Issue in Atmosphere (MDPI).Theme: Advances in Predicting Peak ...
04/03/2026

I'm happy to share a Call for Papers for a timely Special Issue in Atmosphere (MDPI).

Theme: Advances in Predicting Peak Values in Atmospheric and Air Quality Studies.

This issue focuses on innovative methodologies—from statistical models to data-driven techniques—for forecasting extreme concentrations and atmospheric fluctuations. It's a critical area for protecting public health and informing environmental policy.

Full details and submission guidelines here:

Special Issue in journal Atmosphere: Advances in Predicting Peak Values in Atmospheric and Air Quality Studies

Address

Georgiou Stamatelou 42, Pylaia
Thessaloníki
55534

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+302310905119

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