Beginning of April, the L3S team came together for the first Town Hall Meeting in 2024 to get to know new colleagues and projects. There was also reason to celebrate, as several Best Paper Awards were presented.
Prof Sören Auer presented his new project “Turning online atomic-scale processing databases into AI-ready tools for development of new sustainable materials and fabrication processes” funded with 150,000 euros for 2 years by Intel and Merck in the AWASES programme. Project partners are the Eindhoven University of Technology (NL) and the University of Warwick (UK). This project aims to AI-enable the Atomic Layer Deposition/Etching (ALD/E) database AtomicLimits.com, implement FAIR principles and neural language model-based knowledge extraction for relevant literature and integrate it into the Open Research Knowledge Graph.
Simon Gottschalk presented the new project “MoToRes: Mobility and tourism for individual user needs and regional specifics” financed by the mFund of the Federal Ministry for Digital and Transport (BMDV) with a term of 32 months. The L3S cooperates with the following partners: Projektionisten GmbH, Data Science & Intelligent Systems (DSIS), Universität Bonn, Wangerland Touristik GmbH, Connect-Fahrplanauskunft GmbH. The goal is to make travelling easy for everyone. It is designed to help plan individual journey. Data and AI will be used to customise the planning. A lot of data is to be evaluated for the personalisation of the series.
Nicolás Navarro-Guerrero presented the last project at the Town Hall Meeting:”ROMEO: RObot-MEdiated Object manipulation with haptic feedback” has a duration of 36 months and is funded by the MWK, zukunft.niedersachsen and Volkswagen Stiftung. Phd student Ziteng Li supervises the project. L3S, Leibniz University Hannover and the Biodemical Robotics Lab are cooperation partners. The project aims at improving the integration of multimodal (kinesthetic and tactile) information for robot-mediated remote manipulation.
Finally, L3S Director Prof Wolfgang Nejdl awarded the L3S Best Papers of the last months: The first three places were achieved by Ildar Bairmuratov for “Diagrammatic Reasoning for ALC Visualizations with Logic Graphs”, by Marco Fisichella for his paper “Does a language model “understand” high school math? A survey of deep learning based word problem solvers” and by Maryam Bader with “FairTrade: Achieving Pareto-Optimal Trade-offs Between Balanced Accuracy and Fairness in Federated Learning”. Congratulations
