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Continuing our Archimedes Talks Series, on this Thursday at 13:00, Assistant Professor Nakos will be providing a speech on Near-Optimal Robust Sparse Matrix Multiplications, you are welcome to attend or to watch remotely through the teams link provided below.
Title: Near-Optimal Robust Sparse Matrix Multiplications
Abstract: We consider the robust version of the ubiquitous sparse matrix multiplication problem: given two matrices A,B with a and b non-zeros respectively, find the top k elements of their product AB. Recent work [Abboud, Bringmann, Fischer, Kunneman SODA 2024] has suggested a conditionally near-optimal algorithm when AB has at most k non-zero entries. However, as is usually the case, the product AB may not be sparse so we resort to the approximately finding the top k entries of AB. We will discuss a conditionally near-optimal algorithm for the problem which is even faster than the aforementioned algorithm of Abboud et.al.
Short Bio
Vasileios Nakos
Vasileios Nakos is an Assistant Professor at the Department of Informatics and Telecommunications National and Kapodistrian University of Athens. He previously has been a research scientist in the optimizer group of RelationalAI, as well as a postdoc in Max Planck Institute of Informatics and Saarland University. He received his Ph.D. from Harvard University and his undergraduate degree from National Technical University of Athens. Most of his work has concentrated on the field of linear sketching/ dimensionality reduction and the interdisciplinary field of sparse recovery, with focus on speeding up Machine Learning tasks, Optimization algorithms and Signal Processing routines.
Affiliation: National and Kapodistrian University of Athens- Archimedes Unit/Athena Research Center.
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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
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).
Vassilis Alimisis, a postdoctoral researcher at Archimedes, Athena Research Center, Greece, will deliver a tutorial on "Low-Power Analog Hardware Classifier Architecture for ML Applications: From A to Z" at the International Conference on Microelectronics (ICM 2025), taking place on 14-17 December, 2025, in Cairo, Egypt.
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."
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
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 Archimedes Research Unit, part of the Athena Research Center, Greece, participated in this year's 89th Thessaloniki International Fair, which took place from September 6 to 14, 2025.
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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