Romaric Duvignau

Associate Professor at Network and Systems

Associate Professor at Chalmers University of Technology with expertise in distributed systems, network security, and IoT/CPS applications. My research focuses on optimizing communication and computational efficiency for different distributed applications. Through the design and evaluation of data-driven algorithms and continuous optimization methods, my research aims to enhance real-world distributed platforms e.g., data management in vehicular networks, optimizing energy resources at the smart grid's edge, and improving the privacy of popular protocols. I’m also interested in federated learning, network traffic classification, and cybersecurity challenges. Engaged in advancing engineering education, I am exploring the integration of novel pedagogic techniques and tools within my teaching. Open to collaborations and seeking innovative approaches and formal analysis to enhance the resilience and performance of distributed networked systems in diverse, real-world contexts.

Source: chalmers.se
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Showing 21 publications

2024

ChatGPT Has Eaten My Assignment: A Student-Centric Experiment on Supervising Writing Processes in the AI Era

Romaric Duvignau
IEEE Global Engineering Education Conference, EDUCON
Paper in proceeding
2024

Self-stabilizing Byzantine Multivalued Consensus: (extended abstract)

Romaric Duvignau, Michel Raynal, Elad Schiller
ACM International Conference Proceeding Series, p. 12-21
Paper in proceeding
2024

Efficient Monitoring of CPS and IoT Systems: A Deployment Guide for Empirical Evaluations

Jan Korner, Samuel Bach, Albin Karlsson et al
2024 13th Mediterranean Conference on Embedded Computing, MECO 2024
Paper in proceeding
2024

How to Better Teach Computer Networks to Freshman Engineers Post-Pandemic, A Case Study

Romaric Duvignau
IEEE Global Engineering Education Conference, EDUCON
Paper in proceeding
2023

How to Better Teach Computer Networks to First Year Engineering Students Post-pandemic, A Case Study

Romaric Duvignau
Proceedings Chalmers Conference on Teaching and Learning 2023, p. 11-16
Paper in 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 in proceeding
2023

I see what you’re watching on your streaming service: Fast identification of dash encrypted network traces

Martin Björklund Hultman, Marcus Julin, Philip Antonsson et al
Proceedings - IEEE Consumer Communications and Networking Conference, CCNC. Vol. 2023-January, p. 1116-1122
Paper in proceeding
2023

Self-stabilizing Byzantine fault-tolerant repeated reliable broadcast

Romaric Duvignau, Michel Raynal, Elad Schiller
Theoretical Computer Science. Vol. 972
Journal article
2023

Greediness is not always a vice: Efficient Discovery Algorithms for Assignment Problems

Romaric Duvignau, Ralf Klasing
Procedia Computer Science. Vol. 223 (2023), p. 43-52
Paper in proceeding
2022

Metainformation Extraction from Encrypted Streaming Video Packet Traces

Romaric Duvignau
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022, p. 1-6
Paper in 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 in proceeding
2022

GeoRep - Resilient Storage for Wide Area Networks

Daniel Brahneborg, Romaric Duvignau, Wasif Afzal et al
IEEE Access. Vol. 10, p. 75772-75788
Journal article
2022

Self-stabilizing Byzantine Fault-Tolerant Repeated Reliable Broadcast

Romaric Duvignau, Michel Raynal, Elad Schiller
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13751 LNCS, p. 206-221
Paper in proceeding
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
Journal article
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
Journal article
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 in 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
Journal article
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 in 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 in proceeding
2019

Continuous Distributed Monitoring in the Evolved Packet Core

Romaric Duvignau, Marina Papatriantafilou, Konstantinos Peratinos et al
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 187-192
Paper in 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 in proceeding

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Showing 9 research projects

2024–2029

READY: Rethinking Monitoring for Large Distributed Systems

Romaric Duvignau Network and Systems
Computer Science and Engineering (Chalmers)

2023–2024

TRUSTCOM: Packet Trace Recognition over Unstable Communication Channels

Romaric Duvignau Network and Systems
Martin Björklund Hultman Network and Systems
Computer Science and Engineering (Chalmers)

1 publication exists
2022–2022

HyperP2P: Bipartite Hypergraph Matchings for Peer-to-Peer Energy Sharing

Romaric Duvignau Network and Systems
Chalmers

2022–2026

SESBC TANDEM: InTelligent Energy DAta MaNagement and Online DEcision Making

Vincenzo Massimiliano Gulisano Network and Systems
Marina Papatriantafilou Network and Systems
Romaric Duvignau Network and Systems
Swedish Energy Agency

2 publications exist
2022–2022

PAN5G: 5G Passive Attacks

Romaric Duvignau Networks and Systems (Chalmers)
Andres Alayon Glazunov Antennas
Chalmers

2 publications exist
2021–2021

DEEP: Dynamic and Efficient Energy-sharing P2P networks

Romaric Duvignau Networks and Systems (Chalmers)
Chalmers

3 publications exist
2020–2023

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

Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Marina Papatriantafilou Network and Systems
Romaric Duvignau Network and Systems
Elad Schiller Network and Systems
VINNOVA

15 publications exist
2020–

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

Marina Papatriantafilou Networks and Systems (Chalmers)
Romaric Duvignau Networks and Systems (Chalmers)
Magnus Almgren Networks and Systems (Chalmers)
Philippas Tsigas Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Chalmers

8 publications exist
2016–2019

BADA - On-board Off-board Distributed Data Analytics

Bastian Havers Networks and Systems (Chalmers)
Marina Papatriantafilou Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Romaric Duvignau Networks and Systems (Chalmers)
VINNOVA

7 publications exist
There might be more projects where Romaric Duvignau participates, but you have to be logged in as a Chalmers employee to see them.