StreamCloud: A Large Scale Data Streaming System. - Vincenzo Gulisano; Ricardo Jiménez-Peris; Marta Patiño-Martínez; Patrick Valduriez (ICDCS, 2010)

A Big Data Platform for Large Scale Event Processing. - Vincenzo Gulisano; Ricardo Jiménez-Peris; Marta Patiño-Martínez; Claudio Soriente; Patrick Valduriez (ERCIM News, 2012)

StreamCloud: An Elastic and Scalable Data Streaming System. - Vincenzo Gulisano; Ricardo Jiménez-Peris; Marta Patiño-Martínez; Claudio Soriente; Patrick Valduriez (IEEE Trans. Parallel Distributed Syst., 2012)

StreamCloud: An Elastic Parallel-Distributed Stream Processing Engine. (StreamCloud: un moteur de traitement de streams parallèle et distribué). - Vincenzo Gulisano (2012)

A Scalable SIEM Correlation Engine and Its Application to the Olympic Games IT Infrastructure. - Valerio Vianello; Vincenzo Gulisano; Ricardo Jiménez-Peris; Marta Patiño-Martínez; Rubén Torres; Rodrigo Diaz; Elsa Prieto (ARES, 2013)

STONE: a stream-based DDoS defense framework. - Mar Callau-Zori; Ricardo Jiménez-Peris; Vincenzo Gulisano; Marina Papatriantafilou; Zhang Fu; Marta Patiño-Martínez (SAC, 2013)

T-Fuzz: Model-Based Fuzzing for Robustness Testing of Telecommunication Protocols. - William Johansson; Martin Svensson; Ulf E. Larson; Magnus Almgren; Vincenzo Gulisano (ICST, 2014)

METIS: A Two-Tier Intrusion Detection System for Advanced Metering Infrastructures. - Vincenzo Gulisano; Magnus Almgren; Marina Papatriantafilou (SecureComm (2), 2014)

Brief announcement: concurrent data structures for efficient streaming aggregation. - Daniel Cederman; Vincenzo Gulisano; Yiannis Nikolakopoulos; Marina Papatriantafilou; Philippas Tsigas (SPAA, 2014)

When Smart Cities meet Big Data. - Vincenzo Gulisano; Magnus Almgren; Marina Papatriantafilou (ERCIM News, 2014)

Data-Streaming and Concurrent Data-Object Co-design: Overview and Algorithmic Challenges. - Vincenzo Gulisano; Yiannis Nikolakopoulos; Marina Papatriantafilou; Philippas Tsigas (Algorithms, Probability, Networks, and Games, 2015)

Deterministic real-time analytics of geospatial data streams through ScaleGate objects. - Vincenzo Gulisano; Yiannis Nikolakopoulos; Ivan Walulya; Marina Papatriantafilou; Philippas Tsigas (DEBS, 2015)

STONE: A streaming DDoS defense framework. - Vincenzo Gulisano; Mar Callau-Zori; Zhang Fu; Ricardo Jiménez-Peris; Marina Papatriantafilou; Marta Patiño-Martínez (Expert Syst. Appl., 2015)

Detecting non-technical energy losses through structural periodic patterns in AMI data. - Viktor Botev; Magnus Almgren; Vincenzo Gulisano; Olaf Landsiedel; Marina Papatriantafilou; Joris van Rooij (IEEE BigData, 2016)

BES: Differentially Private and Distributed Event Aggregation in Advanced Metering Infrastructures. - Vincenzo Gulisano; Valentin Tudor; Magnus Almgren; Marina Papatriantafilou (CPSS@AsiaCCS, 2016)

The DEBS 2016 grand challenge. - Vincenzo Gulisano; Zbigniew Jerzak; Spyros Voulgaris; Holger Ziekow (DEBS, 2016)

Highly Concurrent Stream Synchronization in Many-core Embedded Systems. - Yiannis Nikolakopoulos; Marina Papatriantafilou; Peter Brauer; Martin Lundqvist; Vincenzo Gulisano; Philippas Tsigas (MES@ISCA, 2016)

Understanding the data-processing challenges in Intelligent Vehicular Systems. - Stefania Costache 002; Vincenzo Gulisano; Marina Papatriantafilou (Intelligent Vehicles Symposium, 2016)

The DEBS 2017 Grand Challenge. - Vincenzo Gulisano; Zbigniew Jerzak; Roman Katerinenko; Martin Strohbach; Holger Ziekow (DEBS, 2017)

Performance Modeling of Stream Joins. - Vincenzo Gulisano; Alessandro Vittorio Papadopoulos; Yiannis Nikolakopoulos; Marina Papatriantafilou; Philippas Tsigas (DEBS, 2017)

Maximizing Determinism in Stream Processing Under Latency Constraints. - Nikos Zacheilas; Vana Kalogeraki; Yiannis Nikolakopoulos; Vincenzo Gulisano; Marina Papatriantafilou; Philippas Tsigas (DEBS, 2017)

Viper: Communication-Layer Determinism and Scaling in Low-Latency Stream Processing. - Ivan Walulya; Yiannis Nikolakopoulos; Vincenzo Gulisano; Marina Papatriantafilou; Philippas Tsigas (Euro-Par Workshops, 2017)

Single window stream aggregation using reconfigurable hardware. - Prajith Ramakrishnan Geethakumari; Vincenzo Gulisano; Bo Joel Svensson; Pedro Trancoso; Ioannis Sourdis (FPT, 2017)

Lisco: A Continuous Approach in LiDAR Point-cloud Clustering. - Hannaneh Najdataei; Yiannis Nikolakopoulos; Vincenzo Gulisano; Marina Papatriantafilou (CoRR, 2017)

Efficient Data Streaming Multiway Aggregation through Concurrent Algorithmic Designs and New Abstract Data Types. - Vincenzo Gulisano; Yiannis Nikolakopoulos; Daniel Cederman; Marina Papatriantafilou; Philippas Tsigas (ACM Trans. Parallel Comput., 2017)

The DEBS 2018 Grand Challenge. - Vincenzo Gulisano; Zbigniew Jerzak; Pavel Smirnov 001; Martin Strohbach; Holger Ziekow; Dimitris Zissis (DEBS, 2018)

LoCoVolt: Distributed Detection of Broken Meters in Smart Grids through Stream Processing. - Joris van Rooij; Vincenzo Gulisano; Marina Papatriantafilou (DEBS, 2018)

Service Level Agreements for Safe and Configurable Production Environments. - Mohammad Ashjaei; Kester Dean Clegg; Lorenzo Corneo; Richard Hawkins; Omar Jaradat; Vincenzo Massimiliano Gulisano; Yiannis Nikolakopoulos (ETFA, 2018)

MAD-C: Multi-stage Approximate Distributed Cluster-Combining for Obstacle Detection and Localization. - Amir Keramatian; Vincenzo Gulisano; Marina Papatriantafilou; Philippas Tsigas; Yiannis Nikolakopoulos (Euro-Par Workshops, 2018)

Continuous and Parallel LiDAR Point-Cloud Clustering. - Hannaneh Najdataei; Yiannis Nikolakopoulos; Vincenzo Gulisano; Marina Papatriantafilou (ICDCS, 2018)

GeneaLog: Fine-Grained Data Streaming Provenance at the Edge. - Dimitris Palyvos-Giannas; Vincenzo Gulisano; Marina Papatriantafilou (Middleware, 2018)

Piecewise Linear Approximation in Data Streaming: Algorithmic Implementations and Experimental Analysis. - Romaric Duvignau; Vincenzo Gulisano; Marina Papatriantafilou; Vladimir Savic (CoRR, 2018)

Viper: A module for communication-layer determinism and scaling in low-latency stream processing. - Ivan Walulya; Dimitris Palyvos-Giannas; Yiannis Nikolakopoulos; Vincenzo Gulisano; Marina Papatriantafilou; Philippas Tsigas (Future Gener. Comput. Syst., 2018)

The DEBS 2019 Grand Challenge. - Oleh Bodunov; Vincenzo Gulisano; Hannaneh Najdataei; Zbigniew Jerzak; André Martin; Pavel Smirnov 001; Martin Strohbach; Holger Ziekow (DEBS, 2019)

Mimir - Streaming Operators Classification with Artificial Neural Networks. - Victor Gustafsson; Hampus Nilsson; Karl Bäckström; Marina Papatriantafilou; Vincenzo Gulisano (DEBS, 2019)

STRETCH: Scalable and Elastic Deterministic Streaming Analysis with Virtual Shared-Nothing Parallelism. - Hannaneh Najdataei; Yiannis Nikolakopoulos; Marina Papatriantafilou; Philippas Tsigas; Vincenzo Gulisano (DEBS, 2019)

Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications. - Dimitris Palyvos-Giannas; Vincenzo Gulisano; Marina Papatriantafilou (DEBS, 2019)

Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures. - Hannaneh Najdataei; Mukund Subramaniyan; Vincenzo Gulisano; Anders Skoogh; Marina Papatriantafilou (ETFA, 2019)

Time-SWAD: A Dataflow Engine for Time-Based Single Window Stream Aggregation. - Prajith Ramakrishnan Geethakumari; Vincenzo Gulisano; Pedro Trancoso; Ioannis Sourdis (FPT, 2019)

Stream-IT: Continuous and dynamic processing of production systems data - throughput bottlenecks as a case-study. - Hannaneh Najdataei; Mukund Subramaniyan; Vincenzo Gulisano; Anders Skoogh; Marina Papatriantafilou (ISIE, 2019)

Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Timeƒ. - Romaric Duvignau; Bastian Havers; Vincenzo Gulisano; Marina Papatriantafilou (ITSC, 2019)

Automatic Translation of Spatio-Temporal Logics to Streaming-Based Monitoring Applications for IoT-Equipped Autonomous Agents. - Luca Bortolussi; Vincenzo Gulisano; Eric Medvet; Dimitrios Palyvos-Giannas (M4IoT@Middleware, 2019)

Haren: A Middleware for Ad-Hoc Thread Scheduling Policies in Data Streaming. - Dimitris Palyvos-Giannas; Vincenzo Gulisano; Marina Papatriantafilou (Middleware Demos/Posters, 2019)

Streaming piecewise linear approximation for efficient data management in edge computing. - Romaric Duvignau; Vincenzo Gulisano; Marina Papatriantafilou; Vladimir Savic (SAC, 2019)

GeneaLog: Fine-grained data streaming provenance in cyber-physical systems. - Dimitris Palyvos-Giannas; Vincenzo Gulisano; Marina Papatriantafilou (Parallel Comput., 2019)

Elasticity. - Vincenzo Gulisano; Marina Papatriantafilou; Alessandro Vittorio Papadopoulos (Encyclopedia of Big Data Technologies, 2019)

The DEBS 2020 grand challenge. - Vincenzo Gulisano; Daniel Jorde; Ruben Mayer; Hannaneh Najdataei; Dimitris Palyvos-Giannas (DEBS, 2020)

The role of event-time order in data streaming analysis. - Vincenzo Gulisano; Dimitris Palyvos-Giannas; Bastian Havers; Marina Papatriantafilou (DEBS, 2020)

TinTiN: Travelling in time (if necessary) to deal with out-of-order data in streaming aggregation. - Joris van Rooij; Vincenzo Gulisano; Marina Papatriantafilou (DEBS, 2020)

Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing. - Romaric Duvignau; Verena Heinisch; Lisa Göransson; Vincenzo Gulisano; Marina Papatriantafilou (e-Energy, 2020)

PARMA-CC: Parallel Multiphase Approximate Cluster Combining. - Amir Keramatian; Vincenzo Gulisano; Marina Papatriantafilou; Philippas Tsigas (ICDCN, 2020)

DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks. - Bastian Havers; Romaric Duvignau; Hannaneh Najdataei; Vincenzo Gulisano; Marina Papatriantafilou; Ashok Chaitanya Koppisetty (Future Gener. Comput. Syst., 2020)

BES: Differentially private event aggregation for large-scale IoT-based systems. - Valentin Tudor; Vincenzo Gulisano; Magnus Almgren; Marina Papatriantafilou (Future Gener. Comput. Syst., 2020)

Ananke: A Streaming Framework for Live Forward Provenance. - Dimitris Palyvos-Giannas; Bastian Havers; Marina Papatriantafilou; Vincenzo Gulisano (Proc. VLDB Endow., 2020)

Poster: Twins, a Middleware for Adaptive Streaming Provenance at the Edge. - Mikael Gordani Shahri; Andréas Erlandsson; Dimitris Palyvos-Giannas; Vincenzo Gulisano (ICDCN, 2021)

Lachesis: a middleware for customizing OS scheduling of stream processing queries. - Dimitris Palyvos-Giannas; Gabriele Mencagli; Marina Papatriantafilou; Vincenzo Gulisano (Middleware, 2021)

Motivations and Challenges for Stream Processing in Edge Computing. - Vincenzo Gulisano (ICPE (Companion), 2021)

Time- and Computation-Efficient Data Localization at Vehicular Networks' Edge. - Romaric Duvignau; Bastian Havers; Vincenzo Gulisano; Marina Papatriantafilou (IEEE Access, 2021)

Geographical Peer Matching for P2P Energy Sharing. - Romaric Duvignau; Vincenzo Gulisano; Marina Papatriantafilou (CoRR, 2021)

MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization. - Amir Keramatian; Vincenzo Gulisano; Marina Papatriantafilou; Philippas Tsigas (J. Parallel Distributed Comput., 2021)

ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join. - Vincenzo Gulisano; Yiannis Nikolakopoulos; Marina Papatriantafilou; Philippas Tsigas (IEEE Trans. Big Data, 2021)

$ mathtt {IP.LSH.DBSCAN}$: Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing. - Amir Keramatian; Vincenzo Gulisano; Marina Papatriantafilou; Philippas Tsigas (Euro-Par, 2022)

Towards data-driven additive manufacturing processes. - Vincenzo Gulisano; Marina Papatriantafilou; Zhuoer Chen; Eduard Hryha; Lars Nyborg (Middleware Industry, 2022)

Proposing a framework for evaluating learning strategies in vehicular CPSs. - Bastian Havers; Marina Papatriantafilou; Ashok Koppisetty; Vincenzo Gulisano (Middleware Industry, 2022)

Research Summary: Deterministic, Explainable and Efficient Stream Processing. - Dimitrios Palyvos-Giannas; Marina Papatriantafilou; Vincenzo Gulisano (ApPLIED@PODC, 2022)

Efficient and scalable geographical peer matching for P2P energy sharing communities. - Romaric Duvignau; Vincenzo Gulisano; Marina Papatriantafilou (SAC, 2022)

pi-Lisco: parallel and incremental stream-based point-cloud clustering. - Hannaneh Najdataei; Vincenzo Gulisano; Philippas Tsigas; Marina Papatriantafilou (SAC, 2022)

Erebus: Explaining the Outputs of Data Streaming Queries. - Dimitris Palyvos-Giannas; Katerina Tzompanaki; Marina Papatriantafilou; Vincenzo Gulisano (Proc. VLDB Endow., 2022)

STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing. - Vincenzo Gulisano; Hannaneh Najdataei; Yiannis Nikolakopoulos; Alessandro V. Papadopoulos; Marina Papatriantafilou; Philippas Tsigas (IEEE Trans. Parallel Distributed Syst., 2022)

Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads. - Fausto Frasca; Vincenzo Gulisano; Gabriele Mencagli; Dimitris Palyvos-Giannas; Massimo Torquati (CF, 2023)

FORTE: an extensible framework for robustness and efficiency in data transfer pipelines. - Martin Hilgendorf; Vincenzo Gulisano; Marina Papatriantafilou; Jan Engström; Binay Mishra (DEBS, 2023)

An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates. - Vincenzo Gulisano (Euro-Par Workshops (1), 2023)

Cost-Optimization for Win-Win P2P Energy Systems. - Romaric Duvignau; Vincenzo Gulisano; Marina Papatriantafilou (ISGT, 2023)

PARMA-CC: A family of parallel multiphase approximate cluster combining algorithms. - Amir Keramatian; Vincenzo Gulisano; Marina Papatriantafilou; Philippas Tsigas (J. Parallel Distributed Comput., 2023)

Research Summary: Enhancing Localization, Selection, and Processing of Data in Vehicular Cyber-Physical Systems. - Bastian Havers; Marina Papatriantafilou; Vincenzo Gulisano (ApPLIED@PODC, 2024)

Aggregates are all you need (to bridge stream processing and Complex Event Recognition). - Vincenzo Gulisano; Alessandro Margara (DEBS, 2024)

Evolutionary Computation Meets Stream Processing. - Vincenzo Gulisano; Eric Medvet (EvoApplications@EvoStar, 2024)

Nona: A Framework for Elastic Stream Provenance. - Bastian Havers; Marina Papatriantafilou; Vincenzo Gulisano (ICDCS, 2024)

On the Semantic Overlap of Operators in Stream Processing Engines. - Vincenzo Gulisano; Marina Papatriantafilou; Alessandro Margara (Middleware, 2024)

Automated Discovery of CEP Applications with Evolutionary Computing. - Giulio Appetito; Eric Medvet; Vincenzo Gulisano (DEBS, 2025)

In-situ Porosity Detection in Additive Manufacturing. - Erik Sievers; Marina Papatriantafilou; Vincenzo Gulisano; Eduard Hryha; Lars Nyborg; Zhuoer Chen (DEBS, 2025)

PyPESOL: The Python P2P Energy Sharing Optimization Library. - Romaric Duvignau; Vincenzo Gulisano; Marina Papatriantafilou (e-Energy, 2025)

On-demand Memory Compression of Stream Aggregates through Reinforcement Learning. - Jingyu Liu 005; Vincenzo Gulisano (ICPE, 2025)

Geographical Peer Matching for P2P Energy Sharing. - Romaric Duvignau; Vincenzo Gulisano; Marina Papatriantafilou; Ralf Klasing (IEEE Access, 2025)