Paris Carbone

Associate Professor of Data Systems at KTH Royal Institute of Technology

Data Systems Lab Members

Sonia Horchidan

PhD Student

Orb DB, Crayfish

Harald Ng

PhD Student

OmniPaxos

Max Meldrum

PhD Student

μWheel

Jonas Spenger

PhD Student

Co-supervised with Philipp Haller

Portals

Adam Hasselberg

PhD Student

Co-supervised with György Dán

Edge Serverless

Klas Segeljakt

PhD Student

Co-supervised with Seif Haridi

Aqua

Alumni

Zainab Abbas

PhD Student

Co-supervised with Vlad Vlassov

Graph Stream Partitioning

Master’s thesis students

Patrik Zhong, Master node replication in DAG execution workflows, 2023.

Chengyang Huang, Serverless programming integration with SQL databases, 2023.

Fredrik Björnman, Performance Comparison of different embedded storage architectures for stream processing, 2022.

Sihan Chen, Implementing temporal graph analytics on top of serverless stream execution platforms, 2022.

Ashmitha Ambastha, Comparison and Benchmarking of Serverless Execution Frameworks, 2022.

Johan Mallo Bakken, Simulation techniques for Rust-based distributed component models, 2022.

Alexandru Mindru, Designing Stream Feature Stores with External State, 2022.

Kun Wu, ML-driven cache eviction policies for log replication IO reduction, 2022.

Ao Song, Desegregated state architectures for stream processing platforms, 2022.

Albin Båaw, Uncertainty estimation techniques for real time stream processing, 2021.

Anna Martignano, Real-time Anomaly Detection on Financial Data (Swedbank), 2020.

Haseeb Asif, Externalizing managed state in data stream processing platforms, 2020.

Sruthi Kumar, Benchmarking external storage for stream processing, 2020.

Mikolaj Robakowski, Rust-based Embedded Storage Support, 2019.

Max Meldrum, Distributed Task Execution for Continuous Deep Analytics, 2019.

Massimo Perini, Distributed, Real-Time Graph Embeddings, 2019.

Klas Segeljakt, A Scala DSL for Rust code generation, 2018.

Oscar Bjur, Deployment and Compilation Strategies for Continuous Deep Analytics, 2018.

Johan Mickos, Design of a Network Library for Continuous Deep Analytics, 2018.

Tobias Linderer, Approximate Data Streaming, 2018.

Marius Melzer, Dataflow Progress Tracking using In-Flight Processing, 2017.

Samia Khalid, Research Internship in Graph Streaming, 2016.

Zainab Abbas, Streaming Graph Partitioning, 2016.

Foteini Beligianni, Streaming Predictive Analytics on Apache Flink, 2015.

Daniel Bali, Streaming Graph Analytics Framework Design, 2015.

Andrew Wu, Data Stream Collaborative Filtering. Industrial MSc Thesis, 2015.

Martha Vlachou Konchylaki, Efficient Data Stream Sampling on Apache Flink, 2015.

Jonas Traub, User-Defined Windowing Semantics. Joint Thesis with TU Berlin, 2015.

Xiao Chen, Real-Time Anomaly Detection using Data Streaming. Thesis at Spotify, 2014.