greece
Algorithms
Data Science
Artificial Intelligence
Με ιδιαίτερη χαρά σας προσκαλούμε σε σειρά διαλέξεων με θέμα Algorithmic Aspects of Clustering, που θα δώσει ο Βάγγος Χατζηαφράτης, Assistant Professor στο University of California in Santa Cruz και συνεργαζόμενος ερευνητής στον Αρχιμήδη.
Οι διαλέξεις θα γίνουν την τρέχουσα και την ερχόμενη εβδομάδα στο κτήριο του Αρχιμήδη (Αρτέμιδος 1, Μαρούσι), σύμφωνα με το παρακάτω πρόγραμμα:
— 1η διάλεξη: Πέμπτη 5 Σεπτεμβρίου, ώρες 13:00 - 16:00
— 2η διάλεξη: Παρασκευή 6 Σεπτεμβρίου, ώρες 13:00 - 16:00
— 3η διάλεξη: Τρίτη 10 Σεπτεμβρίου, ώρες 13:00 - 16:00
— 4η διάλεξη: Πέμπτη 12 Σεπτεμβρίου, ώρες 13:00 - 15:00
Τα θέματα που θα καλυφθούν στις διαλέξεις περιλαμβάνουν:
— Hierarchical Clustering: Algorithms and Hardness
— Connections to Graph Partitioning and bottom-up methods
— Semidefinite Programming & Applications to Graph Partitioning and Clustering
— Beyond Worst Case Analyses
— Contrastive Embeddings
— Open Problems in the area
Οι διαλέξεις σκοπεύουν να καλύψουν κάποια βασική ύλη για clustering and hierarchical clustering with optimization techniques, metric embeddings and non-metric embeddings, και να παρουσιάσουν κάποια σημαντικά, παλαιότερα και νεότερα, ανοικτά προβλήματα στην περιοχή.
Short Bio:
Vaggos Chatziafratis is an Assistant Professor of Computer Science & Engineering at the University of California in Santa Cruz, where he is part of the Theoretical Computer Science group. His research lies at the intersection of approximation algorithms and machine learning, focusing on the design and analysis of approximation algorithms/hardness for clustering problems, and on understanding neural networks through the lens of dynamical systems. Vaggos completed his MS and PhD at Stanford University in the Computer Science Department, where he was advised by Tim Roughgarden and Moses Charikar. Before Stanford, he finished with a Diploma from the ECE department of the National Technical University of Athens. Before joining UC Santa Cruz, he did a postdoc at Google Research under Vahab Mirrokni and Mohammad Mahdian. He also did a postdoc at Northwestern under Konstantin Makarychev, Aravindan Vijayaraghavan and Samir Khuller. Vaggos is the recipient of a FODSI postdoc fellowship at MIT (under Piotr Indyk) and Northeastern. His research at UCSC has been supported by a Hellman Fellowship.
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To position Greece as a leading player in AI and Data Science
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
Figures as of October 2026
Highlights will be added soon.
Archimedes members will present seven papers at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), one of the leading international conferences in natural language processing, taking place in Budapest, Hungary, from 24 to 29 October 2026: three papers in the Findings of EMNLP, one paper in the EMNLP Industry Track, and three papers at EMNLP workshops.
Archimedes members Christos Papadimitriou and John Pavlopoulos will take part in the panel “Education in the Era of Intelligent Systems” at the Academy of Athens Conference on Education, on Wednesday, 21 October 2026.
Archimedes congratulates Christos Papadimitriou, Donovan Family Professor of Computer Science at Columbia University and lead researcher at Archimedes, on receiving the Bodossaki Foundation Excellence Award 2026 in the Technological Sciences category, in recognition of his internationally recognized lifetime achievements.
Με μεγάλη χαρά ανακοινώνουμε ότι από τις 15 έως τις 19 Ιουνίου 2026, στη Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών του Εθνικού Μετσόβιου Πολυτεχνείου, θα πραγματοποιηθεί Θερινό Σχολείο Μηχανικής Μάθησης και Τεχνητής Νοημοσύνης για μαθητές Δευτεροβάθμιας Εκπαίδευσης (Γ΄ Γυμνασίου – Γ΄ Λυκείου), με διδάσκοντα τον Κωνσταντίνο Καραμανή. Το κείμενο είναι διαθέσιμο στα ελληνικά και στα αγγλικά (English version below).
Archimedes leads a global partnership for trustworthy AI in biomedical research through the EU-funded project AIRIS AI, led by Christos Diou, affiliated member of Archimedes and Associate Professor at Harokopio University of Athens.
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.
