Welcome to the webpage of the FUSÉE Lab at the Department of Software and IT Engineering, ÉTS Montréal (University of Québec). FUSÉE is a research group composed primarily of graduate students, established in 2017 by Dr. Kaiwen Zhang. Our mission is to study and build distributed systems based on five aspects:
- Fast, high-velocity, Big Data processing to achieve online analytics.
- Unified and secure event-based frameworks for domains such as social networks, Internet of Things, online gaming.
- Scalable distributed and decentralized systems to handle large volumes of data and users.
- Event processing to support streaming operations such as aggregation, top-k filtering, and complex event detection.
- Event messaging using the publish/subscribe abstraction for decoupled networked interactions.
Practical Blockchain & DLT
Blockchain-based distributed ledger technology (DLT) processes and disseminates transaction events in a decentralized network. Our objective is to achieve the right balance of decentralization, consistency, and scalability to meet the requirements of important domains such as eHealth, IoT, and Smart Grids.
Modern applications (e.g. social networks, sensor networks) require advanced analytics over real-time streams of events. We strive to support these expressive features without compromising performance or scalability by integrating lightweight distributed processing techniques into the publish/subscribe communication substrate.
Networked Game Engines
Networked games require low-latency, reliable, and cheat-resistant communication between players. We aim to develop scalable infrastructures for highly-interactive online games. By leveraging game semantics, such as player profiles and the virtual environment, we can achieve the right trade-off between consistency and performance.
Kaiwen Zhang is an Assistant Professor in the Department of Software and IT Engineering at ÉTS Montréal (University of Québec). Previously, he was an Alexander von Humboldt postdoctoral fellow in Computer Science at the TU Munich (2015-2017) and a member of the Middleware Systems Research Group. Dr. Zhang obtained his B.Sc. and M.Sc. at McGill University in Montréal and his Ph.D. at the University of Toronto. His research interests include blockchain technologies, publish/subscribe systems, massively multiplayer online games, and software-defined networking. Dr. Zhang's expertise lies at the intersection of distributed systems, networking, and data management. His research is published in premier distributed systems conferences such as IEEE ICDCS and ACM Middleware.
- Dr. Aamir Shahzad, Research Associate: Blockchain Systems for IoT and Supply Chain Management.
- Zahra Batool, Ph.D.: Data Mining for Cryptocurrency Ledgers.
- Syed Muhammad Danish, Ph.D.: Middleware Services for Blockchain-IoT Applications. Co-supervised with Hans-Arno Jacobsen.
- Suhail Kandanur, Ph.D.: Large-Scale Dynamic Graph Processing and Event Notification. Co-supervised with Bettina Kemme.
- Reza Nourmohammadi, Ph.D.: Machine Learning Models for Blockchain Analysis.
- Yahya Shahsavari, Ph.D.: Performance Modeling, Analysis, and Tuning of Blockchain Networks. Co-supervised with Chamseddine Talhi.
- Wiem Badreddine, M.A.Sc.: Blockchain-Based Data Monetization for IoT. Co-supervised with Chamseddine Talhi.
- Sardar Basiri, M.A.Sc.: Combat-Optimized Network Engine for Multiplayer Games. Co-supervised with Stéphane Coulombe.
- Alaa Eddine Chouchane, M.A.Sc.: Privacy-Compliant Data Collection using Blockchains. Co-supervised with Chamseddine Talhi.
- Gabriel Hardy, M.A.Sc.: Data Center Infrastructures for DLT. Co-supervised with Pascal Giard.
- Kamyar Rostami, M.A.Sc.: Design and Evaluation of a Smart Contract-Based DApp.
- Mario Munoz, M.A.Sc.: Chain of Custody Traceability using Smart Contracts. Co-supervised with Mustapha Ouhimmou.
- Samin Sadri, M.A.Sc.: Blockchain-Driven Auditability in Health Information Systems.
- Helmi Trabelsi, M.A.Sc.: Reducing MVCC Conflicts in Hyperledger Fabric.
- Shiquan Zhang, M.Sc. (McGill): Modeling Selfish Mining Games. Co-supervised with Bettina Kemme.
- (2020) Sonia Slimani, M.A.Sc.: Real-Time Ad Exchange using Latency-Aware Publish/Subscribe.
- (2020) Thomas Maketa, Ph.D.: Consent-Driven Remittance over a Blockchain Network. Co-supervised with Alain April.
- (2019) Adrien Gasté, M.Eng.: Object Caching for Interactive Web Applications. Co-supervised with Julien Gascon-Samson.
- (2019) Jorge Choqueneira, M.Eng.: Cross-Currency Payments over the Ethereum Network.
- (2019) Helmi Trabelsi, B.Sc. (Sup'Com): Data Tokenization using Hyperledger Fabric.
- (2019) Étienne Boudreault-Pilon, B.Eng.: Smart Contracts for Letter of Credit. Co-supervised with Mustapha Ouhimmou, Bora Ung.
- (2018) Daniel Sel, M.Sc. (TUM): Data Availability Problem in Sharded Ethereum.
- (2018) Jelena Pacic, M.Sc. (TUM): EVA - Electrical Vehicle Charging using Blockchains. Github.
- (2018) Lyubomir-Leo Stoykov, M.Sc. (TUM): VIBES - Visualizing Interactive Blockchain Extended Simulations. Github.
- (2017) Shankar Mohan Sathya, M.Sc. (TUM): Benchmarking Industrial Big Data Systems.
- (2017) Jingyi Wang, M.Sc. (TUM): CSAIM - Combat State-Aware Interest Management. Github.
- (2017) Nejc Zupan, M.Sc. (TUM): HyperPubSub - Federated Publish/Subscribe using Blockchains.
Full publication list @ Espace ÉTS
Monetization using Blockchains for IoT Data Marketplace
Wiem Badreddine, Kaiwen Zhang, Chamseddine Talhi. IEEE ICBC 2020. Acceptance rate: 22.0%.
Securing the LoRaWAN Join Procedure using Blockchains
Syed Muhammad Danish, Marios Lestas, Hassaan Khaliq Qureshi, Kaiwen Zhang, Waqar Asif, Muttukrishnan Rajarajan. Springer Cluster Computing Journal.
BlockAM: An Adaptive Middleware for Intelligent Data Storage Selection for Internet of Things
Syed Muhammad Danish, Kaiwen Zhang, Hans-Arno Jacobsen. IEEE DAPPS 2020.
Linearize, Predict and Place: Minimizing the Makespan for Edge-based Stream Processing of Directed Acyclic Graphs
Shweta Khare, Hongyang Sun, Julien Gascon-Samson, Kaiwen Zhang, Yogesh Barve, Anirban Bhattacharjee, Aniruddha Gokhale, Xenofon Koutsoukos. IEEE/ACM SEC 2019.
A Theoretical Model for Analysis of Firewalls Under Bursty Traffic Flows.
Yahya Shahsavari, HadiShahriar Shahhoseini, Kaiwen Zhang, Halima Elbiaze. IEEE Access.
A Theoretical Model for Fork Analysis in the Bitcoin Network.
Yahya Shahsavari, Kaiwen Zhang, Chamseddine Talhi. IEEE BLOCKCHAIN 2019. Acceptance rate: 25.9%.
Performance Modeling and Analysis of the Bitcoin Inventory Protocol.
Yahya Shahsavari, Kaiwen Zhang, Chamseddine Talhi. IEEE DAPPCON 2019. Acceptance rate: 21.8%. Best Paper Award.
Towards Solving the Data Availability Problem for Sharded Ethereum.
Daniel Sel, Kaiwen Zhang, Hans-Arno Jacobsen. SERIAL 2018.
Scalable Edge Computing Architectures for Low Latency Data Dissemination in Topic-based Publish/Subscribe.
Shweta Khare, Hongyang Sun, Kaiwen Zhang, Julien Gascon-Samson, Aniruddha Gokhale, Xenofon Koutsoukos. IEEE/ACM SEC 2018.
Deconstructing Blockchains: Concepts, Systems, and Insights.
Kaiwen Zhang, Roman Vitenberg, Hans-Arno Jacobsen. ACM DEBS 2018. Slides: Part 1, Part 2.
Multi-client Transactions in Distributed Publish/Subscribe Systems.
Martin Jergler, Kaiwen Zhang, Hans-Arno Jacobsen. IEEE ICDCS 2018. Acceptance rate: 20.0%.
Towards Dependable, Scalable, and Pervasive Distributed Ledgers with Blockchains.
Kaiwen Zhang, Hans-Arno Jacobsen. IEEE ICDCS 2018. Slides: PDF.
PopSub: Improving Resource Utilization in Distributed Content-based Publish/Subscribe Systems.
Pooya Salehi, Kaiwen Zhang, Hans-Arno Jacobsen. ACM DEBS 2017. Acceptance rate: 23.0%.
Incremental Topology Transformation for Publish/Subscribe Systems Using Integer Programming.
Pooya Salehi, Kaiwen Zhang, Hans-Arno Jacobsen. IEEE ICDCS 2017. Acceptance rate: 16.9%.
Efficient covering for top-k filtering in content-based publish/subscribe systems.
Kaiwen Zhang, Mohammad Sadoghi, Vinod Muthusamy, Hans-Arno Jacobsen. ACM Middleware 2017. Acceptance rate: 24.0%.
Shared dictionary compression in publish/subscribe systems.
Christoph Doblander, Tanuj Ghinaiya, Kaiwen Zhang, Hans-Arno Jacobsen. ACM DEBS 2016.
Minimizing the Communication Cost of Aggregation in Publish/Subscribe Systems.
Navneet Kumar Pandey, Kaiwen Zhang, Stéphane Weiss, Hans-Arno Jacobsen, and Roman Vitenberg. IEEE ICDCS 2015. Acceptance rate: 13.0%.
Publish/Subscribe Network Designs for Multiplayer Games.
César Cañas, Kaiwen Zhang, Bettina Kemme, Jörg Kienzle, and Hans-Arno Jacobsen. ACM Middleware 2014. Acceptance rate: 18.75%.
Distributed Event Aggregation for Content-based Publish/Subscribe Systems.
Navneet Kumar Pandey, Kaiwen Zhang, Stéphane Weiss, Hans-Arno Jacobsen, and Roman Vitenberg. ACM DEBS 2014. Acceptance rate: 9.0%.
Distributed Ranked Data Dissemination in Social Networks.
Kaiwen Zhang, Mohammad Sadoghi, Vinod Muthusamy, and Hans-Arno Jacobsen. IEEE ICDCS 2013. Acceptance rate: 13.0%.
Total Order in Content-based Publish/Subscribe Systems.
Kaiwen Zhang, Vinod Muthusamy, and Hans-Arno Jacobsen. IEEE ICDCS 2012. Acceptance rate: 13.0%.
Transaction Models for Massively Multiplayer Online Games.
Kaiwen Zhang, Bettina Kemme. IEEE SRDS 2011.
- Committee Member for CAC/ISO/TC307: Blockchain and electronic distributed ledger technologies (SCC).
- General Co-Chair for ACM Middleware 2021.
- General Co-Chair for ACM DEBS 2020.
- Proceedings Chair for ACM Middleware 2019.
- Posters & Demos Co-Chair for ACM DEBS 2017, 2019.
- Doctor Symposium Co-Chair for ACM DEBS 2018.
- Workshop Chair for Blockchains and DLTs, SACMAT 2019.
- Workshop Co-Chair for "Events Meet Processes", DEBS 2017.
- Publicity Chair for Active Workshop, ICDE 2017, Middleware 2017.
- PC Member for IEEE Blockchain 2020.
- PC Member for IEEE DAPPCON 2019-20.
- PC Member for IEEE ICDCS 2018-19.
- PC Member for ACM DEBS 2017-19.
- PC Member for Blockchain Forum, BPM 2019.
- PC Member for SERIAL 2018.
- Reviewer for IEEE, ACM, Elsevier, MDPI.
- Reviewer for NSERC, MITACS, PROMPT Grants.
- MGL869: Sujets spéciaux I en génie logiciel (Applications et systèmes décentralisés), Summer Semester.
- LOG736: Fondements des systèmes distribués. Summer Semester.
- LOG721: Intergiciels pour applications distribués. Fall Semester.
We are looking for highly motivated students interested in systems research. Our research focuses mostly on industrial use cases, formulating theoretical problems based on practical applications, designing and implementing solutions, and evaluating them in a system testbed. Note that while classes are given in French at ÉTS, it is possible to conduct research and write the thesis in English or French. Classes may also be taken at other universities, including English-speaking ones. For more information on the graduate programs, please consult the ÉTS website. If interested, please send your CV and a statement of research interests to Dr. Kaiwen Zhang.
- Current focus on industrial blockchain research. Candidates should be eager to learn blockchain-related concepts and programming. Projects involve design and coding of smart contracts, testing and evaluation on open-source blockchain platforms.
- Doctoral position on blockchains for utility: PDF.
- General position openings: PDF.