archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

20th Athens Colloquium on Algorithms and Complexity

20th_ACAC___final
Date
2025-08-25
Venue
NTUA, Zografou campus, Athens, Greece

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The Athens Colloquium on Algorithms and Complexity (ACAC) is an annual meeting in Athens aiming to bring together researchers working in all areas of the theory of algorithms and computational complexity. It serves as a lively forum for presenting research results that are in a preliminary stage or have been recently accepted / presented in some major conference. Contributions may appear, fully or partially, in informal electronic proceedings available only to the participants (subject to authors' approval). The language of the workshop is English.


Program


Duration:
 2 days - August 25-26, 2025

Progam link: https://www.corelab.ntua.gr/acac25/#program

Place: National Technical University of Athens (NTUA) premises, Multimedia Amphitheater, Central Library Ground Floor, Zografou campus, Athens, Greece

 

Keynote Talks


Contributed Talks

 

Registration


There are no registration fees.

However, participants should register for administrative purposes, by filling the registration form no later than August 20, Wednesday.

 

Venue

The 20th Athens Colloquium on Algorithms and Complexity (ACAC) will take place at the Multimedia Amphitheater, Central Library Ground Floor, Zografos campus of the National Technical University of Athens (NTUA), Greece.

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You can arrive at the Central Library by various ways:

By public transport:

The easiest way is by taking the Blue Metro line (map) and getting off at the "ΚΑΤΕΧΑΚΗ" station. Then take the bus 242, get off at stop "ΘΥΡΩΡΕΙΟ" (you get off at the first stop inside the Campus) and walk 3 minutes towards the Central Library.

Another option is to take the bus 140 from the "ΚΑΤΕΧΑΚΗ" metro station and get off at stop "ΠΟΛΥΤΕΧΝΕΙΟΥΠΟΛΗ". Then get into the campus and walk 7 minutes towards the Central Library.

By taxi:

Taxi from the Katechaki ("ΚΑΤΕΧΑΚΗ") Station to NTUA will cost aproximately 7-10 €.

By car (or any other means):

Please use this google map to get directions to the conference venue.



Organizers


Organizing & Scientific Committee

  • Dimitris Fotakis
  • Nikos Leonardos
  • Evangelos Markakis
  • Aris Pagourtzis
  • Alkmini Sgouritsa
  • Stathis Zachos
  • Vassilis Zissimopoulos


Organization

  • Dimitris Lazarou
  • Giannis Pavlovic
  • Ioanna Protekdikou


Local Arrnagements

  • Antonis Antonopoulos
  • Pourandokht Behrouz
  • Sotiris Kanellopoulos
  • Christos Pergaminelis
  • Thanos Tolias


Co-Organizers

Archimedes, Athena Research Center, Greece
School of Electrical & Computer Engineering of the National Technical University of Athens (NTUA), Greece
Institute of Communication and Computer Systems of the National Technical University of Athens.

 

For any further details please contact the organizers by email to This email address is being protected from spambots. You need JavaScript enabled to view it..

 

 
 

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

 
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."

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

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

 
 

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

 

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