archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks Series]Machine-learning for structural dynamics and structural health monitoring

Dates
2024-07-23 11:00 - 13:00
Venue
Artemidos 1 - Amphitheater
Title: Machine-learning for structural dynamics and structural health monitoring

Presenter: Dr. George Tsialiamanis (Dynamics Research Group, University of Sheffield, UK)


Abstract: In recent years, the field of structural dynamics has transitioned from physics-based approaches to the inclusion of data in the process of modelling systems. Data-driven techniques, including machine learning, have offered solutions to structural-dynamics problems which would be extremely challenging or even impossible to solve with traditional approaches, e.g. non-linear modal analysis. A major subfield of structural dynamics which is inherently connected to the acquisition of data, that of structural health monitoring (SHM), is founded on the use of machine-learning techniques. The field of SHM aims at maintaining the operational condition of structures to ensure safety and minimise potential economic and societal costs. Data acquired from sensors placed on structures and a wide range of algorithms are exploited to gain insights in the condition of the structure, to identify and localise potential damage, and to perform prognosis regarding the remaining useful life of the structure.

Bio: Dr. Tsialiamanis is a lecturer (Assistant professor) in the Dynamics Research Group (DRG) of the Mechanical Engineering Department of the University of Sheffield.

Dr. Tsialiamanis completed his MEng at the Civil Engineering School of the National Technical University of Athens. He then joined the DRG of the University of Sheffield as a PhD student and a Marie Skłodowska-Curie early stage researcher of the Dynamic Virtualisation (DyVirt) project. He has been a visiting researcher at ETH Zurich and has acquired funding from the non-destructive evaluation division of the Engineering Institute of the Los Alamos National Laboratory and for an extended research visit. Dr. Tsialiamanis is also a member of the steering board committee of the Welsh Digital Twin Network, which aims at developing a functional digital twin of Wales to improve the everyday life of people in the region.

The research of the DRG is focused on modelling structural dynamics. A great part of the research is conducted on the structural health monitoring of structures which is inseparably connected to the acquisition and exploitation of data. The group employs machine-learning algorithms to deal with situations where physical knowledge is absent and the formalisation of the physics is challenging because of the presence of uncertainties. A great deal of research is also conducted on the Verification and Validation of models, which is based on performing experiments to confirm the accuracy and robustness of models. For this purpose, the Laboratory of Verification and Validation (LVV) is used, where equipment is available to test structures under varying environmental conditions, such as varying temperatures, wind loadings, wave loading, etc.


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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
GameSec 2025 just Around the Corner!

GameSec 2025 just Around the Corner!

The 16th Conference on Game Theory and AI for Security (GameSec25), an event strongly supported by Archimedes, Athena Research Center, Greece will take place at the National Technical University of Athens, Greece from October 13-15 2025. "With the rapid advancement of artificial intelligence, game theory, and security technologies, the resilience and trustworthiness of modern systems is more critical than ever. The 2025 Conference on Game Theory and AI for Security focuses on leveraging strategic decision-making, adversarial reasoning, and computational intelligence to address security challenges in complex and dynamic environments.

11 Papers Accepted at NeurIPS 2025!

11 Papers Accepted at NeurIPS 2025!

We are happy to announce that 11 papers from Archimedes, Athena Research Center, Greece, have been accepted at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)!NeurIPS is a major annual event in the artificial intelligence and machine learning community and this year it will take place from December 2 to December 7 at the San Diego Convention Center, California, USA.

Archimedes Postdoc will Conduct a Tutorial at the International Conference on Microelectronics 2025

Archimedes Postdoc will Conduct a Tutorial at the International Conference on Microelectronics 2025

Vassilis Alimisis, a postdoctoral researcher at Archimedes, Athena Research Center, Greece, will deliver a tutorial on "Low-Power Analog Hardware Classifier Architecture for ML Applications: From A to Z" at the International Conference on Microelectronics (ICM 2025), taking place on 14-17 December, 2025, in Cairo, Egypt.Abstract: This tutorial provides a comprehensive introduction to the design and implementation of low-power analog hardware classifiers tailored for machine learning (ML) applications, with a focus on energy-constrained environments such as edge devices and biomedical wearables. With the growing need for fast, efficient, and real-time data processing, analog computing has re-emerged as a promising solution that enables in-memory computation and significantly reduces power consumption compared to conventional digital processors.

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Research Unit of the Athena Research Center, Greece, is featured in a recent article in Dnews. This article is about an Archimedes flagship project in cardiology and AI that aims to use "two-dimensional echocardiographic data to develop deep learning tools and improve the treatment of heart problems."This project will be developed in collaboration with the Onassis Cardiac Surgery Center and the Archimedes Research Unit of the Athena Research Center, Greece. The Onassis Cardiac Surgery Center will contribute cardiac data and medical expertise, while the Archimedes Research Unit will set up a team of researchers who will develop advanced techniques and AI models that will address specific cardiological issues.

Best Paper Award at FAIEMA 202

Best Paper Award at FAIEMA 202

Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the 3rd International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications (FAIEMA 2025), which took place on 18-19 September in 2025 at Stavanger, Norway.

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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