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.


________________________________________________________________________________
Microsoft Teams Need help?
Meeting ID: 386 002 933 738
Passcode: Jj5zsG

For organizers: Meeting options
________________________________________________________________________________
 
 

Vision

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

image
image

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

 
Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine

Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine

Archimedes and the Biomedical Research Foundation of the Academy of Athens successfully hosted a special collaborative session at the Panhellenic Working Group Seminars of the Hellenic Society of Cardiology. This session focused on innovative applications of artificial intelligence in medicine, with a particular emphasis on advancements in cardiology. Held on Friday, February 7, 2025, in Room MC2 of the Megaron Athens International Conference Centre, the event brought together leading experts to explore how artificial intelligence is transforming cardiovascular medicine.

Archimedes Reaches Milestone of 200 Publications

Archimedes Reaches Milestone of 200 Publications

Archimedes is proud to announce that its researchers have published over 200 scientific publications in top-tier conferences (NeurIPS, ICLR, ICML) and journals.Archimedes maintains a vibrant scientific community of over 130 researchers, including more than 60 senior researchers (faculty members from Greece and abroad), 12 postdoctoral fellows, and 55 PhD students, along with over 20 undergraduate interns from various disciplines.

Happy International Greek Language Day!

Happy International Greek Language Day!

Today, we celebrate the historical, cultural, and linguistic significance of the Greek language. While Standard Modern Greek often takes center stage, we at Archimedes - AI and Data Science Research Hub recognize the impressive diversity and great cultural significance of its numerous dialects. These dialects present both exciting opportunities and complex challenges for AI and Large Language Models (LLMs) because each one of them presents unique linguistic features and all of them are low resourced. That’s why we’re using cutting-edge AI to document, digitize, and analyze these invaluable linguistic treasures, ensuring their preservation and accessibility for generations to come.

Two Research Positions in Data Stream Management Systems & Big Data Management

Two Research Positions in Data Stream Management Systems & Big Data Management

We are pleased to announce the availability of two research positions in data stream management systems and big data management, to be co-supervised by Assistant Professor Odysseas Papapetrou from the Eindhoven University of Technology (TU/e) in the Netherlands and Professor Minos Garofalakis from the Technical University of Crete in Greece.

 
 

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.

greece2.0 eu_arch_logo_en

 

Stay connected! Subscribe to our mailing list by emailing sympa@lists.athenarc.gr
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)