Dr. Menna El-Assady Wins
the Society for Informatics Dissertation Award

(Source: Mike Auerbach / Gesellschaft für Informatik e.V)

The Society for Informatics (Gesellschaft für Informatik e.V., GI) has awarded Dr. Menna El-Assady the 2023 Dissertation Prize. The €2,500 prize honors her outstanding dissertation, which she completed at the Chair of Data Analysis and Visualization at the University of Konstanz under the supervision of Prof. Dr. Daniel A. Keim. Dr. El-Assady is now a professor at ETH Zurich.

Dr. El-Assady’s dissertation lies at the intersection of data analysis and explainable artificial intelligence (XAI). Her work introduces innovative approaches that enable the clear presentation of complex data and the integration of machine learning methods.

By developing explainable AI models, she makes a significant contribution to making the often opaque decisions of artificial intelligence understandable to humans.

Each year, the Society for Informatics honors young researchers who have demonstrated outstanding scientific achievements in the field of computer science with the Dissertation Prize.

 

About the Awardee:

Dr. Menna El-Assady earned her PhD at the University of Konstanz at the Chair of Data Analysis and Visualization and is currently a professor at ETH Zurich. Her research focuses on the intersection of data analysis, visualization, computational linguistics, and explainable artificial intelligence. She is regarded as a leading expert in her field, setting new standards in interdisciplinary research with her work.

About the Society for Informatics:

The Society for Informatics (GI) is the largest professional society for computer science in the German-speaking world. It is committed to promoting computer science in academia, industry, and society, and supports young researchers through various awards and funding programs.

 

Swiss Conference on Data Science

Daniel Keim, Professor für Datenanalyse und Visualisierung an der Universität Konstanz. (Source: Simone Frischknecht)

The Swiss Conference on Data Science showcased the influence of data science to our society.

Daniel Keim's keynote on Visual Analytics at the conference highlighted its crucial role in leveraging Big Data through human-machine collaboration.
His insights into real-time applications and deep learning model analysis underscore the practical impact and interdisciplinary potential of this approach for his research group's work.

For more details, you can read this article.

 

Two EU Projects with UKON participation won the 2022 Security Innovation Award granted by DG Migration & Home Affairs

The DG Migration & Home Affairs, responsible for EU migration, borders and security policy in the European Commission, granted the 2022 Security Innovation Award results in Brussels on the 5th of October 2022. This award highlights the importance of EU-funded research in the field of Civil Security, and rewards great examples of Security Research Uptake. The thematic awards, in recognition of the excellency of the work conducted in each of the projects, were granted to four projects funded from the security research programme, which had the opportunity to present their outstanding results in the event

The ASGARD EU-Project wins the 2022 Collaborative Technology Award from the European Commission

The Collaborative Innovative Technology Award was granted to ASGARD. This project developed a cutting-edge tool set for analyzing and extracting big data for Law Enforcement Agencies, facilitating forensic investigations, and significantly increasing overall analytical capabilities.

The picture on the left shows representatives from the coordinator Vicomtech and Prof. Keim during the award ceremony on behalf of all members of the consortium (Text adapted from Vicomtech).



 

 

Visual Analytics for Sense-making in Criminal Intelligence Analysis (VALCRI)

The VALCRI project recevied the Commercialization Award. Visual Analytics for Sense-making in Criminal Intelligence Analysis (VALCRI) is a software tool that helps investigators to find related or relevant information in several criminal databases.The software uses big data processes to aggregate information from a wide array of different sources and formats and compiles it into visual and readable arrangements for users.It is used by various law enforcement agencies and aims to allow officials to utilize statistical information in their operations and strategy.

Security Innovation Award 2022