Sebis Day 2024 will take place on 4 July 2024 , starting at 16:00 in the FMI building on the Garching campus.
A round of presentations on our latest research advancements will be followed a get-together (Stammtisch).
|
Date |
Thursday, 4 July 2024 |
|
Time |
16:00–17:30 (Workshop) |
|
Place |
Fakultät für Mathematik und Informatik (FMI) TUM School of CIT |
|
Room |
Workshop: MI Hörsaal 2 (continue from the main entrance to the reception, then left down the stairs) Stammtisch: Seminar Room 01.10.011 (1st floor, Abteilung 10) |
|
Address |
Boltzmannstraße 3, 85748 Garching bei München |
Program
|
Time |
Presentation |
Speaker |
|
16:00 |
Introduction and overview of current research |
Prof. Dr. Florian Matthes |
|
16:05 |
Recent Work in Blockchain-Based Systems Engineering SSI promises to decentralize identity management, making it more reliable, and more privacy preserving. We present our recent work with the Gaia-X 4 PLC AAD project, where we use SSI for B2B services and data sharing in the automotive domain.
Exploring block building economics of the Ethereum blockchain. An exciting collaboration with the Composable Finance Foundation. |
Felix Hoops
|
|
16:20 |
Data Protection and Privacy-Enhancing Technologies We present the ongoing privacy research at sebis, including Privacy-Enhancing Technologies and privacy compliance, Differential Privacy in Natural Language Processing, and privacy risks in General-Purpose-AI systems. We focus on the practical relevance of these research areas, particularly in the ways in which privacy researchers and practitioners can work together to advance the abovementioned fields.
Communities of Practice in Scaled-Agile Organizations We present our initial insights of investigating CoPs in large-scale agile organizations and provide an outlook on future work with our industry partners. |
Alexandra Klymenko, Stephen Meisenbacher
Franziska Tobisch |
|
16:40 |
NLP and Engineering Conversational Interfaces ChatHR is a research project between SAP and the Technical University of Munich (TUM) that uses LLM to generate answers to HR related questions. We developed a solution using (L)LMs by using a human-in-the-loop in various parts of data collection, development and evaluation.
We report on upcoming research projects with healthcare providers and several clinics like the Klinikum Rechts der Isar. The projects explore the use LLMs for dementia detection, for patient-centered voice assistance, and for improving medical meta-analyses.
We present a novel approach, CreateData4AI, to help domain experts efficiently annotate large textual training data for NLP. We exemplify the approach using data from the Handelsregister. |
Anum Afzal
Phillip Schneider, Juraj Vladika
Tim Schopf, Stephen Meisenbacher |
|
17:10 |
Legal AI Use Cases We present our ongoing project with SYLVENSTEIN Rechtsanwälte to create a prototype system for AI-assisted legal analysis and correction of German employment contracts using Large Language Models.
We give a preview of our newly released Legal AI Use Case Radar and highlight the latest and most innovative use cases for AI in the legal domain. |
Oliver Wardas
Nektarios Machner |
|
17:30 |
Stammtisch We provide food and beverages and give you the opportunity for networking. |
All participants |
|
19:00 |
End of the event |
Campus plan
Arrival by public transporation
Arrival by car
Kontakt: juraj.vladika (at) tum.de
| Name | Type | Size | Last Modification | Last Editor |
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| tum_fmi_campusplan.png | 574 KB | 14.05.2024 |