archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[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

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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 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.

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