Artificial Intelligence
Data Science
Algorithms
archimedes-Artificial Intelligence, Data Science, Algorithms-greece
greece
Algorithms
Data Science
Artificial Intelligence
[Archimedes Talks Series] Τεχνητή Νοημοσύνη στην Ιατρική Ακριβείας
Dates
2024-11-01 17:30 - 19:30
Venue
Online
Η ομιλία θα πραγρατοποιηθεί αποκλειστικά διαδικτυακά
Title: Τεχνητή Νοημοσύνη στην Ιατρική Ακριβείας
Speaker: Prof. Polydoros Kampaktsis (Aristotle University of Thessaloniki)
Short Bio: Polydoros Kampaktsis completed undergraduate studies in Medicine and Electrical & Computer Engineering
at the Aristotle University of Thessaloniki in Greece, where he also received a Master’s degree in Medical Informatics. He subsequently completed a clinical PhD in Structural Heart Disease at the University of Athens Medical School. Polydoros completed his
post-graduate medical training in Internal Medicine, Cardiology, Interventional Cardiology and Echocardiography in top academic centers in the US. He was an Assistant Professor of Medicine at the Columbia University Irving Medical Center, Division of Cardiology
for 3 years. He then returned to training to complete a clinical fellowship in Structural Heart Disease at the Hackensack University Medical Center, NJ. He currently also serves as a Visiting Professor at the Aristotle University of Thessaloniki Medical School.
Polydoros is a practicing Cardiologist who performs two types of research. On one hand, he is dedicated to clinical research with a main focus on Structural Heart Disease and valvulopathies, Coronary Artery Disease and Cardiovascular Imaging. On the other hand,
he has been investigating potential applications of Machine Learning in Cardiovascular Medicine. More specifically, he has been collaborating with Data Scientists in Europe and Greece to evaluate the use of Machine Learning in clinical outcomes research, clinical
phenotyping and particularly the development of novel applications to address daily clinical needs in Cardiology. He is the co-inventor of a new Machine Learning-based technique for quantitative analysis of the right ventricle using two-dimensional echocardiography
only, for which he holds an international patent.
Polydoros believes that careful selection of ideas and data, excellent multidisciplinary collaboration and hard work can lead to ground breaking Machine Learning applications in Cardiology and Medicine that can move the field forward and have an impact in the
daily care of patients. He is inspired by excellence in practicing Cardiology and performing meaningful research.
Meeting Link: https://uoa.webex.com/uoa/j.php?MTID=m54e2d2df887a011b3da72379a3ac2de8
Meeting Number: 2783 870 8869
Password: r72dGJPfgi2
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Vision
To position Greece as a leading player in AI and Data Science
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).
Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”
24 March 2026
Christos Papadimitriou, Donovan Family Professor of Computer Science at Columbia Engineering at Columbia University, USA, and Principal Scientist at the Archimedes Research Unit of the Athena Research Center, Greece, spoke about “Artificial Intelligence: its History, its Present, and its Uncertain Future” during the ten-year anniversary event of diaNEOsis think tank, which took place on March 11, 2026, at the Stavros Niarchos Foundation Cultural Center (SNFCC).
Vasia Papanikou to Present the MIMOSA Fairness Exploration Tool at EDBT/ICDT 2026 Joint Conference
24 March 2026
Vasia Papanikou, a PhD student at the University of Ioannina and an Academic fellow at Archimedes, Athena Research Center, Greece, will be demonstrating "MIMOSA: A Tool for Fairness Exploration Through Explanations" at the 29th International Conference on Extending Database Technology (EDBT/ICDT 2026), taking place from March 24–27, 2026, at Tampere, Finland.
Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026
16 March 2026
Archimedes Academic Fellow and a third-year PhD student at the National and Kapodistrian University of Athens in Greece, Andreas Lolos recently travelled to Tucson in Arizona, USA, and presented the paper "SGPMIL: Sparse Gaussian Process Multiple Instance Learning" at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026).
6 Accepted Papers at ICLR 2026
11 March 2026
The Archimedes research unit of the Athena Research Center in Greece has six papers accepted at this year's International Conference on Learning Representations (ICLR) gathering, including one oral presentation. The acceptance rate for posters was about 25,8% and about 1,1% for oral presentations. Please bear in mind that ICLR, along with NeurIPS and ICML, is considered one of the three top-tier artificial intelligence and machine learning conferences in the world.
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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