Quantum computing is a rapidly evolving field with a wide range of applications in diverse industries. Hybrid quantum computing combines classical and quantum computing to solve complex problems, quantum machine learning is a subset of machine learning that leverages quantum computing for optimization, and quantum embeddings use quantum algorithms to process high dimensional data. Quantum computers have the potential to revolutionize finance, industry, production, drug research, and even consumer-facing services. With quantum computing’s ability to handle massive amounts of data and perform complex calculations at incredible speeds, it holds great promise for addressing some of the world’s most pressing problems in these areas. The minitrack invites researchers from computer science, natural sciences, engineering, and economics fields to submit their research on applications of quantum computing.
For the come of the relevant topics see here
Minitrack Co-Chairs:
Wolfgang Maass (Primary Contact)
German Research Center for Artificial Intelligence (DFKI)
wolfgang.maass@dfki.de
Frank Wilhelm-Mauch
Peter Grünberg Institut (PGI), Forschungszentrum Jülich GmbH
f.wilhelm-mauch@fz-juelich.de
Frederick Struckmeier
TRUMPF SE + Co. KG
frederick.struckmeier@trumpf.com
Visit of the Ambassador of Tajikistan
On February 8, 2023 the ambassador of Tajikistan, Dr. Imomudin Sattorov, visited the DFKI in Saarbrücken. Our research group, SSE, had the opportunity to present current research results on the topic of artificial intelligence, including Nurten Öksüz-Köster´s presentation titeled “Artificial Intelligence for Stationary Retail”.
We are pleased to announce that our team member, Nurten Öksüz-Köster, successfully defended her doctoral thesis titled “Stress Prediction for Understanding Customer Needs in the Context of Retailing”.
Our project Future Data Assets – Intelligent Data Accounting for the Determination of Entrepreneurial Data Capital (FDA) which has started on 01.08.2019 officially ended on 31.01.2023. Besides Saarland University, project partners included FIR e.V. at RWTH Aachen University, Deloitte, DMG Mori, and Atlan-Tec, and 8 scientific articles were published based on the project.
Visit of the Korean Winter School
On January 31, 2023, the Korean Winter School visited us at DFKI Saarbrücken. And we had the opportunity to inform them about our different research areas with several lectures including Amin Harig’s presentation about the SPAICER project titled: Sequential Anomaly Detection in Manufacturing.
Presentation at HICSS Conference 2023
Our team started the year 2023 with Dr. Sabine Janzen’s presentation of the paper ‘Anticipating Energy-driven Crises in Process Industry by AI-based Scenario Planning‘ at HICSS conference 2023 which was nominated for the best paper award.
Article Published in Tagesspiegel
An article by Prof. Maaß titled “How to fix security problems in data trading”, related to the EVAREST project, is published in the Tagesspiegel Background and is available to read online.
Visit of the German Patent and Trademark Office
Members of the German Patent and Trademark Office visited DFKI Saarbrücken. And our team members had the opportunity to present the demonstrator titled “Contract Broker – a legally secure environment for contract-based exchange and processing of sensitive data” from the EVAREST project.
52nd Conference of the German Informatics Society
Our team members attended the 52nd annual conference of the German Informatics Society in Hamburg. Dusan Dokic presented the paper “Towards a Data Quality Index for Data Valuation in the Data Economy”. And Pascal Ahiagble presented the paper “Approaches for Automated Data Quality Analysis: Syntactic and Semantic Assessment”. Both papers are part of the research project “Future Data Assets”.
On September 15, 2022, Prof. Hideaki Takeda from the National Institute of Informatics (NII) in Tokyo visited us at the DFKI in Saarbrücken. The focus of the interesting lectures was especially on Knowledge graphs.
The first consortium meeting of PAIRS project, funded by the German Federal Ministry for Economic Affairs and Climate Protection took place in Düsseldorf in September 2022 where we had the opportunity to present the first results of the first year of the project and our demos on the Hidden Problem Detector and the Outage Predictor were very well received by the attendees.
Congress for Digital Technologies
Our I4SE team attended the Congress for Digital Technologies, hosted by the Federal Ministry for Economic Affairs and Climate Action, and presented our SPAICER, QUASIM, and EVAREST projects.
We are proud to announce that the paper ”Data Sharing in the German Food Industry- Empirical Insights”, presented by our team member, Hannah Stein in the Americas‘ Conference on Information Systems (AMCIS) was awarded the Kauffman Best Paper Award.
Visit of the Minister President of Saarland
We had the pleasure of welcoming Minister President of Saarland, Anke Rehlinger, to our Smart Service Engineering team at DFKI. The visit was focused on the work of Prof. Dr. Wolfgang Maaß’s research group on the application of KI on anti doping analysis.
IEEE International Conference on Digital Health
Our team member, Maxx Richard Rahman, presented his paper titled ”Detection of Erythropoitin in Blood to Uncover Doping in Sports using Machine Learning” at the IEEE International Conference on Digital Health 2022, in Barcelona.
Smart Data Economy Funding Program
We attended the closing event of the Smart Data Economy funding program at the GLS Campus Berlin where we presented the demo on the eContract Broker from our EVAREST project.
Our Paris project team won the second place at the Interschutz Hannover hackathon. Tthey developed and presented a prototype for outage prediction in crisis management based on the analysis of weather and twitter data.
Global Industry Exhibition in the AI Village
The Smart Service Engineering research group was present in 2022 Global Industry exhibition in the AI Village, Paris, one of the world’s leading trade fairs for the industry, with the projects SPAICER and EVAREST.
Our anti-doping projects, which are aimed at using AI technologies to facilitate detection of doping, were broadcasted on Saarländischer Rundfunk, the official radio and television broadcaster in Saarland.
Wolfgang Maaß is professor in Business Informatics at Saarland University, scientific director at Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI), and adjunct professor Stony Brook University Health Sciences Center School of Medicine, NY.
AI Explainability: A Conceptual Model Embedding Method, 43rd International Conference on Information Systems (ICIS 22), Copenhagen, Denmark.
Anticipating Energy-driven Crises in Process Industry by AI-based Scenario Planning. 56th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2023), January 3-6, Hawaii, Hawaii, (forthcoming).
Contract-based Data-sharing for AI-based Decision Making on the Web. 55th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2022), January 4-7, Hawaii, Hawaii, United States. Springer. pdf