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TwinODIS Workshop
Large-Scale Intelligent Systems
at FORTH-ICS, Heraklion, Greece
Overview
Overview
Within the EU-funded TwinODIS project, this 2-day workshop convenes researchers and practitioners working at the frontier of Large-Scale Intelligent Systems, i.e., systems that ingest, process, and reason over massive heterogeneous data streams to produce actionable knowledge for high-stakes decisions. Across four thematic tracks, namely, Energy, Maritime, Smart Water Networks, and Finance, invited keynotes and regular research talks present recent advances in scalable data infrastructures, learning at scale, knowledge representation, and decision support, examining both the methodological challenges of moving from raw data to operational knowledge and the domain-specific patterns that emerge when such systems are deployed in critical sectors.
Within the EU-funded TwinODIS project, this 2-day workshop convenes researchers and practitioners working at the frontier of Large-Scale Intelligent Systems, i.e., systems that ingest, process, and reason over massive heterogeneous data streams to produce actionable knowledge for high-stakes decisions. Across four thematic tracks, namely, Energy, Maritime, Smart Water Networks, and Finance, invited keynotes and regular research talks present recent advances in scalable data infrastructures, learning at scale, knowledge representation, and decision support, examining both the methodological challenges of moving from raw data to operational knowledge and the domain-specific patterns that emerge when such systems are deployed in critical sectors.
The workshop is intentionally cross-domain: each thematic track is self-contained, but the full programme is designed to surface common abstractions, such as streaming data pipelines, sensor and signal heterogeneity, real-time inference, knowledge graphs, uncertainty quantification, and human-inthe-loop oversight, that recur across very different application settings. Participants leave with a richer view of the state of the art in their own domain and a sharper sense of what neighbouring fields have already solved.
The workshop is intentionally cross-domain: each thematic track is self-contained, but the full programme is designed to surface common abstractions, such as streaming data pipelines, sensor and signal heterogeneity, real-time inference, knowledge graphs, uncertainty quantification, and human-inthe-loop oversight, that recur across very different application settings. Participants leave with a richer view of the state of the art in their own domain and a sharper sense of what neighbouring fields have already solved.
Organizers
Organizers
Thematic Areas
Thematic Areas
Smart grids, demand forecasting, distributed resource integration, and market optimization.
Vessel analytics, port optimization, predictive maintenance, and emission reductions.
Leak detection, sensor network simulation, and distribution management.
Real-time market analytics, fraud detection, credit scoring, and portfolio optimization.
Cross-Cutting Themes
Cross-Cutting Themes
Acquisition: Integrating massive, heterogeneous data streams and sensors.
Curation: Cleaning and ensuring data quality for trustworthy modeling.
Scalable Modeling: Applying machine learning and time series analysis for prediction.
Knowledge Representation: Using ontologies and knowledge graphs across silos.
Decision Support: Enabling real-time actions and digital twins.
Governance: Ensuring explainability and trust in safety-critical settings.
Registration
Registration
Registration is free but mandatory due to limited places. Check the Registration page for more details.
Target audience
Target audience
Researchers and PhD students in AI, data science, machine learning, signal processing, and operations research.
Domain researchers in energy systems, maritime engineering, water management, and quantitative finance.
Industry practitioners and engineers building large-scale intelligent systems in the four covered domains.
Policy and regulatory professionals interested in the deployment of AI in critical infrastructures and regulated markets.
Format & Features
Format & Features
On-site single-track workshop with invited keynotes and contributed research talks
Expert-led presentations, networking time between sessions
Certificate of attendance (upon ≥ 80% attendance of the programme)
Local Organizing Committee
Local Organizing Committee
Graduate Research Fellow
Project Management & Innovation
R&D Engineer
Marian Papadaki
Project Administration
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