In December 2022, our research director Sabri Skhiri travelled to Osaka to attend IEEE Big Data 2022. He sums up the main trends, and shares his favourite talks and papers.
Continue reading
IEEE Streaming Workshop / Keynote Announcement
We are delighted to announce Pablo Estrada from Google and Fabian Hueske from Snowflake as the two keynote speakers of our seventh Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data.
Continue readingDEBS 2022
In June 2022, our research director Sabri Skhiri and the head of the data science department Madalina Ciortan travelled to Copenhagen to attend DEBS 2022, the leading conference focusing on distributed and event-based systems.
Continue readingPrivacy Enhancing Technologies 2022: A Summary
In April 2022, our research director Sabri Skhiri travelled to Zurich to attend the Privacy Enhancing Technologies Summit 2022, dedicated to PETs and their uses (enhance data security, facilitate compliance, and create value).
Continue readingWe Join The Stream Reasoning Workshop 2021
The research community at its best!
This week, our research director Sabri Skhiri flew to Milan with other leaders in stream reasoning. They meet to push further efficient decision-making and context detection over rapidly changing data.
Our Research Director Is Co-chair at DEBS 2021 [Call for Paper]
Congratulations to our research director Sabri Skhiri on his appointment as industry co-chair of the international conference on distributed and event-based systems.
Continue readingMDPI Data Journal, special issue – Paper Submission Opening
After the success of five international workshops co-located at IEEE Big Data, the MDPI Data Journal is dedicating a special issue to real-time stream analytics, stream mining, CER/CEP and stream data management in big data.
Continue readingReinforcement Learning Course at ENSI
Reinforcement learning is one of the most active research areas in artificial intelligence and applies to a wide range of use cases in different sectors. To provide students with the skills needed in a transforming AI landscape, the ENSI school invited us to give a course on the subject.
Continue readingTalking Graph Analytics With Students
Last Saturday, our Tunisian team Safa, Ichraf Hamza and Amine took part in the ENSI (Ecole Nationale des Sciences de l’Informatique) virtual forum to share their experience and meet the students! Our graph specialist Amine Ghrab talked to students about the power of graph analytics.
Continue readingOur engineer Amine Ghrab presented his PhD public defense on the BI on Graph Project
Last Thursday, our engineer Amine Ghrab presented the BI on Graph project during his PhD public defense. Amine did an amazing job at the edge between Industry & Academia. Amine’s thesis was done in collaboration with the CODE/WIT Lab of the Université Libre de Bruxelles and the Universitat Politècnica de Catalunya, with the support of Prof. Oscar Romero & Prof. Esteban Zimanyi!
In his PhD thesis, Amine defined how BI environments can be enriched with Graph Data structures. Over the past decade, business and social environments have become increasingly complex and interconnected. As a result, graphs have emerged as a widespread abstraction tool at the core of the information infrastructure that supports these environments. In particular, the integration of graphs into data warehouse systems has appeared as a way to extend current information systems with graphs management and analysis capabilities. Going forward, Amine redefined the concepts of multidimensional cube on graph and showed how it can open new doors for data analysts. Finally, he showed how a graph data warehouse architecture can be defined.
Congratulation for your achievements!
You can find below a list of related publications:
- TopoGraph: an End-To-End Framework to Build and Analyze Graph Cubes
- GraphOpt: a Framework for Automatic Parameters Tuning of Graph Processing Frameworks
- Graph BI & Analytics: Current State and Future Challenges
- Discovering interesting patterns in large graph cubes
- A Framework for Builidng OLAP Cubes on Graphs