29-30 MAY

ATHENS, GREECE

A Summit on Next- Generation Data & AI Systems

This first instalment of the ORS aims to bring together leading Greek researchers (both from Greece and abroad) in the areas of Big Data, Systems, and Machine Learning/Artificial Intelligence to discuss key research challenges and foster new collaborative efforts, thereby driving technological innovation and breakthroughs.

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Agenda

28 May, 18:00–20:00:

Join us for welcome drinks at the Pre-Event.

8:45 – 9:15

Registration

9:15 – 9:30 (** PLENARY **)

Welcome

9:30 – 10:30 (** PLENARY **)

Keynote: Machine Unlearning: An Emerging Fundamental Component of ML Pipelines — Peter Triantafillou (U. Warwick)

10:30 – 11:00

Coffee break

Session #1: Database Management Systems – Storage and indexing

11:00 – 12:30

  • The New Memory Wall and how it changes database system design — Anastasia Ailamaki (EPFL)
  • Building Robust Data Stores: A Use-case on LSM Trees — Manos Athanassoulis (Boston U)

  • In-memory access methods for multidimensional data — Nikos Mamoulis (U. of Ioannina)

12:30 – 14:00

Lunch

Session #2: Data Security/Privacy and Data Quality

14:00 – 15:30

  • DeepProve: Fast and Scalable Verifiable Inference for AI Models — Charalampos Papamanthou (Yale U.)
  • Advancing Confidential Computing: Scalable Oblivious Computation for Next-Generation Private Systems, Databases, and AI — Ioannis Demertzis (UC Santa Cruz)

  • Sustainability goes through Data Reduction — Yannis Velegrakis (Utrecht U.)

15:30 – 16:00

Coffe Break

Session #3: Data & AI Founder Stories

16:00 – 17:00

  • From Data Management to AI and from Athens to Silicon Valley — Constantinos Venetsanopoulos (Arrikto & HP)
  • AI Accelerators on Cloud and on Edge: Which one is the right one — Christoforos Kachris (InAccel and U West Attica)

18:00

Buses leave for Acropolis Secret Restaurant

19:00 – 21:30

9:00 – 10:00 (** PLENARY **)

Keynote: Next-generation AI-integrated cloud-native databases — Nikos Ntarmos (Huawei ERC)

10:00 – 10:30

Coffee break

Session #4: Machine Learning and Analytics – Graphs, Time-Series, Graphics

10:30 – 12:30

  • Fairness, Explainability and Their Interplay – Graph Analytics — Evi Pitoura (U. of Ioannina)
  • Next Generation of Big Multi-Dimensional Data Analytics — John Paparrizos (Ohio State U.)
  • Scalable Vector Analysis: A Story of Twists and Turns — Themis Palpanas (U. Paris Cite)

  • Towards 4D-aware generative models: Creating dynamic, Interactive 3D worlds with generative AI — Evangelos Kalogerakis (TU Crete and UMass Amherst)

12:30 – 14:00

Lunch

Session #5: Adaptive Data Systems and Stream Processing

14:00 – 15:00

  • Towards adaptive and resource-efficient data stream processing systems — Vasiliki Kalavri (Boston U.)
  • Supporting complex analytics on fast-paced data streams: sketches to the rescue — Odysseas Papapetrou (TU Eindhoven)

15:00 – 15:30

Coffe Break

15:30 – 17:00 (** PLENARY **)

Panel discussion – TBD

17:00 – 17:30

Future of Database Competition Awards Ceremony & Closing

18:30 – 21:00

Dinner at Divani Apollo Restaurant (by the pool)

Speakers

Anastasia Ailamaki

Professor & Co-founder

EPFL, RAW Labs SA

The New Memory Wall and how it changes database system design

Manos Athanassoulis

Professor & Director

Boston University, Data-intensive Systems and Computing Laboratory

Building Robust Data Stores: A Use-case on LSM Trees.

Ioannis Demertzis

Professor

Univ. of California-Santa Cruz

Advancing Confidential Computing: Scalable Oblivious Computation for Next-Generation Private Systems, Databases, and AI

Christoforos Kachris

Professor, CEO & CO-FOUNDER

Univ. of West Attica, InAccel

AI accelerators on Cloud and on Edge: Which one is the right one

Vasiliki Kalavri

Professor & Lead Researcher

Boston University, Complex Analytics and Scalable Processing Systems Lab

Towards adaptive and resource-efficient data stream processing systems.

Evangelos Kalogerakis

Professor & Lead Researcher

TU Crete, Umass-Amherst

Towards 4D-Aware Generative Models: Creating Dynamic, Interactive 3D Worlds with Generative AI.

Nikos Mamoulis

Professor & Lead Researcher

University of Ioannina, ATHENA Research Center

In-memory access methods for multidimensional data.

Nikos Ntarmos

Honorary Lecturer & Director of Database Lab

University of Glasgow, Huawei Technologies

Next-generation AI-integrated cloud-native databases

Themis Palpanas

Professor

Universite Paris Cite, French University Institute

Scalable Vector Analytics: A Story of Twists and Turns.

Charalampos Papamanthou

Professor & Research Director

Yale University, Lagrange Labs

DeepProve: Fast & Scalable Verifiable Inference for AI Models .

Odysseas Papapetrou

Professor

TU Eindhoven

Supporting complex analytics on fast-paced data streams: sketches to the rescue.

John Paparrizos

Professor & Lead Researcher

Ohio State University, DATUM Lab

Next-Generation of Big Multi-Dimensional Data Analytics.

Evaggelia Pitoura

Professor & Lead Researcher

University of Ioannina, ATHENA Research Center

Fairness, Explainability and Their Interplay – Graph Analytics.

Peter Triantafillou

Professor

University of Warwick

Machine Unlearning: An Emerging Fundamental Component of ML Pipelines.

Yannis Velegrakis

Professor & Lead Researcher

Utrecht University, Data Intensive Systems Group

Sustainability goes through Data Reduction

Constantinos Venetsanopoulos

Founder and CEO, Director Of Product

Arrikto MLOps, Hewlett Packard Enterprise

From Data Management to AI and from Athens to Silicon Valley.

Organization

Minos Garofalakis

General Chair

IMSI, Athena Research Center

Eleni Sotiropoulou

Local Arrangements Chair

Athena Research Center

Venue

Divani Apollon Palace & Thalasso

A luxury seafront hotel on Athens’ Riviera, featuring sea-view rooms, a premier spa, private beach, and modern conference facilities — offering an island-like escape just minutes from the city.

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