Ourania Ntouni

dblp:398/0761 · DBLP profile ↗
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3ranked-venue papers
3as first author
3since 2021 · last 2026
0009-0000-4932-3714ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2 · 2 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data stream processing · 100%
Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data stream processing
complex event processing
0.912025
NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms · Proc. VLDB Endow. 2025

Methods — techniques the papers use, named apart from their topics

regular expressions · 1.7neural models · 0.9neural model · 0.9
YearPublicationVenuePosition
2026 Optimized Edge-To-Cloud Complex Event Recognition and Forecasting on Altair AI Studio
Ourania Ntouni, Dimitrios Banelas, Elias Alevizos, Nikos Giatrakos
MDM1
2025 NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms
abstract
We demonstrate NeuroFlinkCEP, the first framework that integrates neural and symbolic Complex Event Recognition (CER) over a state-of-the-art Big Data platform, also optimizing neurosymbolic CER upon operating over IoT settings. NeuroFlinkCEP receives expressed patterns as extended regular expressions and automatically transforms them to FlinkCEP jobs per device. To enable detection of simple events involved in CER patterns, NeuroFlinkCEP can integrate any neural model in FlinkCEP jobs. To optimally assign operator execution in-network, we incorporate and extend a state-of-the-art IoT optimizer.
Ourania Ntouni, Dimitrios Banelas, Nikos Giatrakos
Proc. VLDB Endow.1
2024 TALOS: Task Level Autoscaler for Apache Flink
Ourania Ntouni, Euripides G. M. Petrakis
CoopIS1