Invited Industrial Talks

Yingjun Wu

Founder and CEO at Singularity Data

Industrial Talk Title: RisingWave: A Distributed SQL Streaming Database Designed for the Cloud


In this talk, I will present RisingWave, a distributed SQL streaming database designed for the cloud. RisingWave provides standard SQL as the interactive interface. It speaks in PostgreSQL dialect, and can be seamlessly integrated with the PostgreSQL ecosystem with no code change. RisingWave treats streams as tables and allows users to compose complex queries over streaming and historical data declaratively. RisingWave is designed for the cloud. The cloud-native architecture enables RisingWave to scale compute and storage resources separately and infinitely based on the users’ demands. We open-sourced RisingWave kernel under Apache License 2.0. Together with the open community, we are on the mission to democratize stream processing: to make stream processing simple, affordable, and accessible for everyone.


Yingjun Wu is the founder and CEO of Singularity Data, a startup innovating next-generation cloud-native database systems. Before starting his adventure, Yingjun was a software engineer at the Redshift team, Amazon Web Services, and a researcher at the Database group, IBM Almaden Research Center. Yingjun received his PhD degree from National University of Singapore, where he was affiliated with the Database Group (advisor: Kian-Lee Tan). He was also a visiting PhD at the Database Group, Carnegie Mellon University (advisor: Andrew Pavlo). Yingjun Wu is passionate about integrating research into real-world system products. During his time at AWS, Yingjun was responsible for boosting Amazon Redshift performance using advanced vectorization and compression techniques. Before that, he participated in the development of IBM Db2 Event Store’s indexing structure and transaction processing mechanism. Yingjun was an early contributor to Stratosphere, which is now widely known as Apache Flink. Yingjun is also active in academia. He is serving as a Program Committee member in several top-tier database conferences, such as SIGMOD, VLDB, and ICDE.

Madalina Ciortan

Head of the Data Science Department at Euranova

Industrial Talk Title: The Industrial Challenges of Evolving Graph Networks


Large network data evolving over time have become ubiquitous across most industries, ranging from automotive and pharma to e-commerce and banking. Despite recent efforts, using temporal graph neural networks on continuously changing data in an effective and scalable way has been a challenge. This talk presents one of the research tracks studied at Euranova. We provide an overview of relevant continual learning methods directly applicable to real-world use cases. As explainability has become the central ingredient in trustworthy AI, we introduce the landscape of state-of-the-art methods designed for explaining node, link or graph level predictions.


Madalina Ciortan is the head of the data science department at Euranova. After graduating as an engineer, a master in computer science and a postmaster in bioinformatics, she earned a doctorate in data science. She has over 15 years of experience in roles ranging from development, architecture, team leading, coaching and research. She worked on topics including computer vision, NLP, time series analysis, unsupervised analysis, self-supervised learning, as well as high dimensional and noisy data analysis in the industry.

Anna Almén

Chief Technology Officer at Infront Financial Technology GmbH

Industrial Talk Title: The Value and Challenge of Real Time Market Data: be careful what you are asking for


Across our business and personal lives, we’re used to getting information in real-time. How many stops until my parcel arrives? Where’s my Uber? Is it faster for me to walk or take the bus? Are there any new videos to watch? We all carry super-computers in our pockets with instant access to all the streaming data we want, customised to our personal preferences. Naturally, financial services professionals in brokerage, trading, and wealth management expect their market data to be real-time as well, allowing them to make split second decisions to buy and sell. But real time market data is hard to provide with sufficient Quality of Information (QoI) and Quality of Service (QoS). It’s massive, constant, and complex. And most days, real-time is much more than people need, even if it is what they ask for. We’ll look at what the real business drivers are for going real-time, when delayed or daily is better, and how to balance the market data needs against the wants.


Anna Almén – CTO, joined Infront, a leading European provider of information and technology solutions, in March 2022. Anna has extensive experience in integrating companies based on a data-driven approach leading to more efficient organisations. Anna Almén has held various positions in the Swedish financial technology sector as well as working with startup organisations going through exponential growth. Most recently, she held the position of CTO of eCommerce at Worldline following the merger with the startup company Bambora where she had a key role in the technology leadership. She has also worked for many years for companies in the trading segment including Nasdaq OMX. Anna Almén earned her Master’s Degree in Computer Science at KTH Royal Institute of Technology.

Important Dates

Events Dates (AoE)
Abstract Submission for Research Track March 4th, 2022 March 21st, 2022
Submission Dates
Research Paper Submission March 11th, 2022 March 28th, 2022
Industry and Application Paper Submission March 25th, 2022 April 22nd, 2022
Tutorial Proposal Submission April 15th, 2022
Grand Challenge Solution Submission April 22th, 2022
Doctoral Symposium Submission May 13rd, 2022 May 27th, 2022
Poster and Demo Paper Submission May 12th, 2022 May 27th, 2022
Notification Dates
Author Notification Research Track May 6th, 2022
Author Notification Industry and Application Track April 22nd, 2022 May 18th, 2022
Author Notification Tutorials April 29th, 2022
Author Notification Grand Challenge May 3rd, 2022 May 9th, 2022
Author Notification Doctoral Symposium May 20th, 2022 June 3rd, 2022
Author Notification Poster & Demo May 26th, 2022 June 3rd, 2022
Camera Ready for All Tracks May 31st, 2022 June 10th, 2022
Conference 27th June – 30th June 2022

Sponsored by







Infront Financial Technology GmbH