Vincenzo Massimiliano Gulisano

Biträdande professor vid Nätverk och System

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Källa: chalmers.se
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Visar 82 publikationer

2024

Evolutionary Computation Meets Stream Processing

Vincenzo Massimiliano Gulisano, Eric Medvet
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14634 LNCS, p. 377-393
Paper i proceeding
2024

Research Summary: Enhancing Localization, Selection, and Processing of Data in Vehicular Cyber-Physical Systems

Bastian Havers, Marina Papatriantafilou, Vincenzo Massimiliano Gulisano
Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems, p. 91-95
Paper i proceeding
2024

Survey: Time-Series Data Preprocessing: A Survey and an Empirical Analysis

Amal Tawalkuli, Bastian Havers, Vincenzo Massimiliano Gulisano et al
Journal of Engineering Research
Artikel i vetenskaplig tidskrift
2024

Aggregates are all you need (to bridge stream processing and Complex Event Recognition)

Vincenzo Massimiliano Gulisano, Alessandro Margara
DEBS 2024 - Proceedings of the 18th ACM International Conference on Distributed and Event-Based Systems, p. 66-77
Paper i proceeding
2024

Nona: A Framework for Elastic Stream Provenance

Bastian Havers, Marina Papatriantafilou, Vincenzo Massimiliano Gulisano
Proceedings - International Conference on Distributed Computing Systems, p. 703-714
Paper i proceeding
2024

An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates

Vincenzo Massimiliano Gulisano
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14351 LNCS, p. 18-29
Paper i proceeding
2023

Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads

Fausto Frasca, Vincenzo Massimiliano Gulisano, Gabriele Mencagli et al
Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, p. 144-153
Paper i proceeding
2023

Cost-Optimization for Win-Win P2P Energy Systems

Romaric Duvignau, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
2023 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2023
Paper i proceeding
2023

PARMA-CC: A Family of Parallel Multiphase Approximate Cluster Combining Algorithms

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Journal of Parallel and Distributed Computing. Vol. 177, p. 68-88
Artikel i vetenskaplig tidskrift
2023

FORTE: an extensible framework for robustness and efficiency in data transfer pipelines

Martin Hilgendorf, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
DEBS 2023 - Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, p. 139-150
Paper i proceeding
2022

Efficient and scalable geographical peer matching for P2P energy sharing communities

Romaric Duvignau, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Proceedings of the ACM Symposium on Applied Computing, p. 187-190
Paper i proceeding
2022

Research Summary: Deterministic, Explainable and Efficient Stream Processing

Dimitrios Palyvos-Giannas, Marina Papatriantafilou, Vincenzo Massimiliano Gulisano
ApPLIED 2022 - Proceedings of the 2022 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating Algorithms for Distributed Systems, p. 65-69
Paper i proceeding
2022

IP. LSH. DBSCAN : Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13440 LNCS, p. 268-284
Paper i proceeding
2022

Proposing a framework for evaluating learning strategies in vehicular CPSs

Bastian Havers, Marina Papatriantafilou, Ashok Krishna Chaitanya Koppisetty et al
Middleware 2022 Industrial Track - Proceedings of the 23rd International Middleware Conference Industrial Track, Part of Middleware 2022, p. 22-28
Paper i proceeding
2022

Towards data-driven additive manufacturing processes

Vincenzo Massimiliano Gulisano, Marina Papatriantafilou, Zhuoer Chen et al
Middleware 2022 Industrial Track - Proceedings of the 23rd International Middleware Conference Industrial Track, Part of Middleware 2022, p. 43-49
Paper i proceeding
2022

pi-Lisco: parallel and incremental stream-based point-cloud clustering

Hannaneh Najdataei, Vincenzo Massimiliano Gulisano, Philippas Tsigas et al
Proceedings of the ACM Symposium on Applied Computing, p. 460-469
Paper i proceeding
2022

Erebus: Explaining the Outputs of Data Streaming Queries

Dimitrios Palyvos-Giannas, Katerina Tzompanaki, Marina Papatriantafilou et al
Proceedings of the VLDB Endowment. Vol. 16 (2), p. 230-242
Paper i proceeding
2021

MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Journal of Parallel and Distributed Computing. Vol. 147, p. 248-267
Artikel i vetenskaplig tidskrift
2021

ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
IEEE Transactions on Big Data. Vol. 7 (2), p. 299-312
Artikel i vetenskaplig tidskrift
2021

Time- and Computation-Efficient Data Localization at Vehicular Networks' Edge

Romaric Duvignau, Bastian Havers, Vincenzo Massimiliano Gulisano et al
IEEE Access. Vol. 9, p. 137714-137732
Artikel i vetenskaplig tidskrift
2021

Poster: Twins, a Middleware for Adaptive Streaming Provenance at the Edge

Mikael Gordani Shahri, Andréas Erlandsson, Dimitrios Palyvos-Giannas et al
ACM International Conference Proceeding Series, p. 235-236
Paper i proceeding
2021

Motivations and challenges for stream processing in edge computing

Vincenzo Massimiliano Gulisano
ICPE 2021 - Companion of the ACM/SPEC International Conference on Performance Engineering, p. 17-18
Paper i proceeding
2021

Lachesis: A Middleware for Customizing OS Scheduling of Stream Processing Queries

Dimitrios Palyvos-Giannas, Gabriele Mencagli, Marina Papatriantafilou et al
Middleware 2021 - Proceedings of the 22nd International Middleware Conference, p. 365-378
Paper i proceeding
2021

Benefits of small-size communities for continuous cost-optimization in peer-to-peer energy sharing

Romaric Duvignau, Verena Heinisch, Lisa Göransson et al
Applied Energy. Vol. 301
Artikel i vetenskaplig tidskrift
2020

Ananke: A Streaming Framework for Live Forward Provenance

Dimitrios Palyvos-Giannas, Bastian Havers, Marina Papatriantafilou et al
Proceedings of the VLDB Endowment. Vol. 14 (3), p. 391-403
Artikel i vetenskaplig tidskrift
2020

Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing

Romaric Duvignau, Verena Heinisch, Lisa Göransson et al
e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems, p. 35-46
Paper i proceeding
2020

BES: Differentially Private Event Aggregation for large-scale IoT-based Systems

Valentin Tudor, Vincenzo Massimiliano Gulisano, Magnus Almgren et al
Future Generation Computer Systems. Vol. 108, p. 1241-1257
Artikel i vetenskaplig tidskrift
2020

TinTiN: Travelling in time (if necessary) to deal with out-of-order data in streaming aggregation

Joris Van Rooij, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
DEBS 2020 - Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems, p. 141-152
Paper i proceeding
2020

DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks

Bastian Havers, Romaric Duvignau, Hannaneh Najdataei et al
Future Generation Computer Systems. Vol. 107, p. 1-17
Artikel i vetenskaplig tidskrift
2020

Intrusion Detection in Industrial Networks via Data Streaming

Ismail Butun, Magnus Almgren, Vincenzo Massimiliano Gulisano et al
Industrial IoT: Challenges, Design Principles, Applications, and Security, p. 213-238
Kapitel i bok
2020

PARMA-CC: Parallel Multiphase Approximate Cluster Combining

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
ACM International Conference Proceeding Series. Vol. Part F165625
Paper i proceeding
2020

The DEBS 2020 grand challenge

Vincenzo Massimiliano Gulisano, Daniel Jorde, Ruben Mayer et al
DEBS 2020 - Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems, p. 183-186
Paper i proceeding
2019

Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures

Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Massimiliano Gulisano et al
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. Vol. 2019-September, p. 993-1000
Paper i proceeding
2019

Streaming Piecewise Linear Approximation for Efficient Data Management in Edge Computing

Romaric Duvignau, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Proceedings of the ACM Symposium on Applied Computing. Vol. Part F147772, p. 593-596
Paper i proceeding
2019

Demo Abstract: Haren: A Middleware for Ad-Hoc Thread Scheduling Policies in Data Streaming

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Middleware Demos and Posters 2019 - Proceedings of the 2019 20th International Middleware Conference Demos and Posters, Part of Middleware 2019, p. 19-20
Paper i proceeding
2019

The DEBS 2019 grand challenge

Oleh Bodunov, Vincenzo Massimiliano Gulisano, Hannaneh Najdataei et al
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 205-208
Paper i proceeding
2019

Stream-IT: Continuous and dynamic processing of production systems data - Throughput bottlenecks as a case-study

Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Massimiliano Gulisano et al
IEEE International Symposium on Industrial Electronics. Vol. 2019-June, p. 1328-1333
Paper i proceeding
2019

Mimir - Streaming operators classification with artificial neural networks

Victor Gustafsson, Hampus Nilsson, Karl Bäckström et al
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 258-259
Paper i proceeding
2019

STRETCH: Scalable and elastic deterministic streaming analysis with virtual shared-nothing parallelism

Hannaneh Najdataei, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 7-18
Paper i proceeding
2019

Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Time?

Romaric Duvignau, Bastian Havers, Vincenzo Massimiliano Gulisano et al
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference - ITSC 2019, p. 2604-2611
Paper i proceeding
2019

GeneaLog: Fine-grained data streaming provenance in cyber-physical systems

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Parallel Computing. Vol. 89
Artikel i vetenskaplig tidskrift
2019

Time-SWAD: A dataflow engine for time-based single window stream aggregation

Prajith Ramakrishnan Geethakumari, Vincenzo Massimiliano Gulisano, Pedro Petersen Moura Trancoso et al
Proceedings - 2019 International Conference on Field-Programmable Technology, ICFPT 2019. Vol. 2019-December, p. 72-80
Paper i proceeding
2019

DRIVEN: a Framework for Efficient Data Retrieval and Clustering in Vehicular Networks

Bastian Havers, Romaric Duvignau, Hannaneh Najdataei et al
Proceedings - International Conference on Data Engineering. Vol. 2019-April, p. 1850-1861
Paper i proceeding
2019

MAD-C: Multi-stage Approximate Distributed Cluster-Combining for Obstacle Detection and Localization

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11339 LNCS, p. 312-324
Paper i proceeding
2019

Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 19-30
Paper i proceeding
2019

Automatic Translation of Spatio-Temporal Logics to Streaming-Based Monitoring Applications for IoT-Equipped Autonomous Agents

Luca Bortolussi, Vincenzo Massimiliano Gulisano, Eric Medvet et al
M4IoT 2019 - Proceedings of the 2019 Workshop on Middleware and Applications for the Internet of Things, Part of Middleware 2019 Conference, p. 7-12
Paper i proceeding
2018

GeneaLog: Fine-Grained Data Streaming Provenance at the Edge

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Middleware '18 Proceedings of the 19th International Middleware Conference, p. 227-238
Paper i proceeding
2018

LoCoVolt: Distributed Detection of Broken Meters in Smart Grids through Stream Processing

Joris Van Rooij, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
DEBS 2018 - Proceedings of the 12th ACM International Conference on Distributed and Event-Based Systems, p. 171-182
Paper i proceeding
2018

Viper: Communication-layer determinism and scaling in low-latency stream processing

Ivan Walulya, Ioannis Nikolakopoulos, Vincenzo Massimiliano Gulisano et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10659 LNCS, p. 129-140
Paper i proceeding
2018

The DEBS 2018 Grand Challenge

Zbigniew Jerzak, Pavel Smirnov, Martin Strohbach et al
Proceedings of the ACM Conference on Computer and Communications Security, p. 191-194
Paper i proceeding
2018

eChIDNA: Continuous Data Validation in Advanced Metering Infrastructures

Joris Van Rooij, Johan Swetzén, Vincenzo Massimiliano Gulisano et al
2018 IEEE International Energy Conference (ENERGYCON), p. 1-6
Paper i proceeding
2018

Service Level Agreements for Safe and Configurable Production Environments

Lorenzo Corneo, Richard Hawkins, Mohammad Ashjaei et al
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. Vol. 2018-September
Paper i proceeding
2018

Viper: A module for communication-layer determinism and scaling in low-latency stream processing

Ivan Walulya, Dimitrios Palyvos-Giannas, Ioannis Nikolakopoulos et al
Future Generation Computer Systems. Vol. 88, p. 297-308
Artikel i vetenskaplig tidskrift
2018

Continuous and parallel LiDAR point-cloud clustering

Hannaneh Najdataei, Ioannis Nikolakopoulos, Vincenzo Massimiliano Gulisano et al
Proceedings - International Conference on Distributed Computing Systems. Vol. 2018-July, p. 671-684
Paper i proceeding
2017

Performance modeling of stream joins

Vincenzo Massimiliano Gulisano, A.V. Papadopoulos, Ioannis Nikolakopoulos et al
DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems, p. 191-202
Paper i proceeding
2017

Single Window Stream Aggregation using Reconfigurable Hardware

Prajith Ramakrishnan Geethakumari, Vincenzo Massimiliano Gulisano, Joel Bo Svensson et al
2017 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE TECHNOLOGY (ICFPT). Vol. 2018-January, p. 112-119
Paper i proceeding
2017

The DEBS 2017 grand challenge

Vincenzo Massimiliano Gulisano, Zbigniew Jerzak, R. Katerinenko et al
DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems, p. 271-273
Paper i proceeding
2017

Efficient Data Streaming Multiway Aggregation through Concurrent Algorithmic Designs and New Abstract Data Types

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Daniel Cederman et al
ACM Transactions on Parallel Computing. Vol. 4 (2)
Artikel i vetenskaplig tidskrift
2017

Maximizing determinism in stream processing under latency constraints

N. Zacheilas, V. Kalogeraki, Ioannis Nikolakopoulos et al
DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems, p. 112-123
Paper i proceeding
2016

Detecting Non-Technical Energy Losses through Structural Periodic Patterns in AMI data

Viktor Botev, Magnus Almgren, Vincenzo Massimiliano Gulisano et al
BDSG/BigData: Proceedings of the Workshop on Big Data in Smart Grids at the IEEE International Conference on BigData, p. 3121-3130
Paper i proceeding
2016

The DEBS 2016 grand challenge

Vincenzo Massimiliano Gulisano, Zbigniew Jerzak, Spyros Voulgaris et al
DEBS 2016 - Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems. United States; 20-24 June 2016, p. 289-292
Paper i proceeding
2016

Understanding the data-processing challenges in Intelligent Vehicular Systems

Stefania Costache, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
IEEE Intelligent Vehicles Symposium, Proceedings. Vol. 2016-August, p. 611-618
Paper i proceeding
2016

BES - Differentially Private and Distributed Event Aggregation in Advanced Metering Infrastructures

Vincenzo Massimiliano Gulisano, Valentin Tudor, Magnus Almgren et al
2nd ACM Cyber-Physical System Security Workshop (CPSS 2016), p. 59-69
Paper i proceeding
2016

Highly concurrent stream synchronization in many-core embedded systems

Ioannis Nikolakopoulos, Marina Papatriantafilou, P. Brauer et al
4th ACM International Workshop on Many-Core Embedded Systems, MES 2016; Seoul; South Korea; (ACM International Conference Proceeding Series, vol 18). Vol. 18-22-June-2016, p. 2-9
Paper i proceeding
2015

Online and scalable data validation in advanced metering infrastructures

Vincenzo Massimiliano Gulisano, Magnus Almgren, Marina Papatriantafilou
IEEE PES Innovative Smart Grid Technologies Conference Europe; 12-15 Oct. 2014 Istanbul. Vol. 2015-January (January)
Paper i proceeding
2015

ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
Eight Swedish Workshop on Multi-Core Computing (MCC) Copenhagen, November 25-26, 2015
Paper i proceeding
2015

ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
IEEE International Conference on Big Data (IEEE Big Data 2015), p. 144 - 153
Paper i proceeding
2015

Data-Streaming and Concurrent Data-Object Co-design: Overview and Algorithmic Challenges

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9295, p. 242-260
Paper i proceeding
2015

STONE: A streaming DDoS defense framework

Vincenzo Massimiliano Gulisano, Mar Callau-Zori, Zhang Fu et al
Expert Systems with Applications. Vol. 42 (24), p. 9620-9633
Artikel i vetenskaplig tidskrift
2015

Deterministic Real-Time Analytics of Geospatial Data Streams through ScaleGate Objects

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Ivan Walulya et al
DEBS 2015 - Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems
Paper i proceeding
2015

METIS: a Two-Tier Intrusion Detection System for Advanced Metering Infrastructures

Vincenzo Massimiliano Gulisano, Magnus Almgren, Marina Papatriantafilou
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering. Vol. 153, p. 51-68
Paper i proceeding
2015

Detection of intrusions and malware, and vulnerability assessment

Magnus Almgren, Vincenzo Massimiliano Gulisano, F. Maggi
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9148
Paper i proceeding
2014

T-Fuzz: Model-based fuzzing for robustness testing of telecommunication protocols

W. Johansson, M.A. Svensson, Ulf Larson et al
Proceedings - IEEE 7th International Conference on Software Testing, Verification and Validation, ICST 2014, p. 323-332
Paper i proceeding
2014

Cybersecurity and Data Management in the Smart Grid

Magnus Almgren, Zhang Fu, Vincenzo Massimiliano Gulisano et al
Chalmers Initiative Seminar on Big Data
Poster (konferens)
2014

Brief announcement: Concurrent data structures for efficient streaming aggregation

Daniel Cederman, Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos et al
Annual ACM Symposium on Parallelism in Algorithms and Architectures, p. 76-78
Paper i proceeding
2014

METIS: A two-tier intrusion detection system for advanced metering infrastructures

Vincenzo Massimiliano Gulisano, Magnus Almgren, Marina Papatriantafilou
e-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems, p. 211-212
Paper i proceeding
2014

When Smart Cities meet Big Data

Vincenzo Massimiliano Gulisano, Magnus Almgren, Marina Papatriantafilou
ERCIM news. Vol. 98
Artikel i övrig tidskrift
2014

ScaleJoin: a deterministic, disjoint-parallel and skew-resilient stream join enabled by concurrent data structures

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
Rapport
2013

Concurrent Data Structures for Efficient Streaming Aggregation

Daniel Cederman, Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos et al
Rapport
2013

STONE: A stream-based DDoS defense framework

Mar Callau-Zori, Vincenzo Massimiliano Gulisano, Zhang Fu et al
Proceedings of the ACM Symposium on Applied Computing, SAC 2013; Coimbra; Portugal; 18 March 2013 through 22 March 2013, p. 807-812
Paper i proceeding
2013

Algorithms and Data Handling Towards Adaptive and Robust Electricity Networks

Magnus Almgren, Daniel Cederman, Zhang Fu et al
Chalmers Energy Conference 2013
Poster (konferens)
2013

Cybersecurity in the Smart Grid

Magnus Almgren, Zhang Fu, Vincenzo Massimiliano Gulisano et al
Chalmers Energy Conference 2013
Poster (konferens)

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Visar 18 forskningsprojekt

2024–2025

WASP-WISE STRATIFIER

Lars Nyborg Material och tillverkning
Eduard Hryha Material och tillverkning
Erik Sievers Nätverk och System
Vincenzo Massimiliano Gulisano Nätverk och System
Marina Papatriantafilou Nätverk och System
Wallenberg AI, Autonomous Systems and Software Program
Wallenberg Initiative Materials Science for Sustainability

2023–2027

EU MSCA RELAX-DN

Philippas Tsigas Nätverk och System
Jacqueline Plette Extern samverkan, forsknings- och innovationsstöd
Vinh Quang Ngo Nätverk och System
Jacob Garby Nätverk och System
Marina Papatriantafilou Nätverk och System
Vincenzo Massimiliano Gulisano Nätverk och System
Jingyu Liu Nätverk och System
Europeiska kommissionen (EU)

2 publikationer finns
2022–2026

SESBC TANDEM: Intelligent hantering av energidata och beslutsfattande i realtid

Vincenzo Massimiliano Gulisano Nätverk och System
Marina Papatriantafilou Nätverk och System
Romaric Duvignau Nätverk och System
Energimyndigheten

2 publikationer finns
2020–2023

AutoSPADA (Automotive Stream Processing and Distributed Analytics) OODIDA Phase 2

Vincenzo Massimiliano Gulisano Nätverk och system
Marina Papatriantafilou Nätverk och System
Romaric Duvignau Nätverk och System
Elad Schiller Nätverk och System
VINNOVA

15 publikationer finns
2020–

INDEED: Information and Data-processing in Focus for Energy Efficiency

Marina Papatriantafilou Nätverk och system
Romaric Duvignau Nätverk och system
Magnus Almgren Nätverk och system
Philippas Tsigas Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Chalmers

8 publikationer finns
2020–

Skalbarhet och kvalitetskontroll i AM -- Big Data och ML i tillverkningsprocesser

Marina Papatriantafilou Nätverk och System
Philippas Tsigas Nätverk och System
Vincenzo Massimiliano Gulisano Nätverk och System
Lars Nyborg Material och tillverkning
Eduard Hryha Material och tillverkning
Erik Sievers Nätverk och System
Zhuoer Chen Material och tillverkning
Claudia de Andrade Schwerz Material och tillverkning
Chalmers

2019–2020

ADAPT: Adaptive DigitAl Power sysTems

Vincenzo Massimiliano Gulisano Nätverk och system
Marina Papatriantafilou Nätverk och system
Lisa Göransson Energiteknik 2
Chalmers

2 publikationer finns
2018–2023

WASP SAS

Marina Papatriantafilou Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Karl Bäckström Nätverk och system
Philippas Tsigas Nätverk och system
Wallenberg AI, Autonomous Systems and Software Program

10 publikationer finns
2017–2021

Integrated cyber-physical solutions for intelligent distribution grid with high penetration of renewables (UNITED-GRID)

Anh Tuan Le Elkraftteknik
Jacqueline Plette Chalmers, Forskningsstöd
Magnus Almgren Nätverk och system
Ankur Srivastava Elkraftteknik
Vincenzo Massimiliano Gulisano Nätverk och system
David Steen Elkraftteknik
Ioannis Bouloumpasis Elnät och komponenter
Marina Papatriantafilou Nätverk och system
Ismail Butun Nätverk och system
Europeiska kommissionen (EU)

38 publikationer finns
2017–2021

STAMINA - GE

Marina Papatriantafilou Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Magnus Almgren Nätverk och system
Philippas Tsigas Nätverk och system
Göteborg Energi, Forskningsstiftelsen

10 publikationer finns
2017–2020

HAREN: Självdistribuerad och anpassningsbar dataströmningsanalys i dimman

Vincenzo Massimiliano Gulisano Nätverk och system
Vetenskapsrådet (VR)

21 publikationer finns
2017–2019

HÅLLBARA STÄDER: ANVÄNDANDE AV STORA DATAMÄNGDER FÖR ATT FÖRSTÅ OCH HANTERA RÖRELSEMÖNSTER OCH TRAFIKSTOCKNINGAR

Sonia Yeh Fysisk resursteori
Vincenzo Massimiliano Gulisano Nätverk och system
Marina Papatriantafilou Nätverk och system
Formas

1 publikation finns
2016–2019

BADA - On-board Off-board Distributed Data Analytics

Bastian Havers Nätverk och system
Marina Papatriantafilou Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Romaric Duvignau Nätverk och system
VINNOVA

7 publikationer finns
2016–2020

STAMINA -WASP

Marina Papatriantafilou Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Joris Van Rooij Nätverk och system
Wallenberg AI, Autonomous Systems and Software Program

5 publikationer finns
2016–2021

Molnbaserade produkter och produktion (FiC)

Marina Papatriantafilou Nätverk och system
Philippas Tsigas Nätverk och system
Ioannis Nikolakopoulos Nätverk och system
Amir Keramatian Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Hannaneh Najdataei Nätverk och system
Ivan Walulya Nätverk och system
Stiftelsen för Strategisk forskning (SSF)

34 publikationer finns
2015–2016

Examine –- Extracting useful information out of data in AMI networking

Marina Papatriantafilou Nätverk och system
Magnus Almgren Nätverk och system
Olaf Landsiedel Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Zhang Fu Nätverk och system
Viktor Botev Nätverk och system
Göteborg Energi, Forskningsstiftelsen

2012–2014

Utvecklande av dataalgoritmer för nätverk för att stärka anpassningsbarhet och robusthet i elnät

Olaf Landsiedel Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Marina Papatriantafilou Nätverk och system
Magnus Almgren Nätverk och system
Zhang Fu Nätverk och system
Göteborg Energi AB

2012–2015

CRitical Infrastructure Security AnaLysIS (CRISALIS)

Zhang Fu Nätverk och system
Magnus Almgren Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Valentin Tudor Nätverk och system
Marina Papatriantafilou Nätverk och system
Europeiska kommissionen (EU)

Det kan finnas fler projekt där Vincenzo Massimiliano Gulisano medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.