Chair of Scalable Software Architectures for Data Analytics

Prof. Dr.-Ing. Michael Färber
E-Mail: michael.faerber@tu-dresden.de
Office: Strehlener Str. 12-14, Room 733, 01069 Dresden (Google Maps)
Secretary: Thomas Bruderrek, Jin Zhang
Phone: +49 (0)351 463 40900 (Secretary)

Professional Profile

• Since April 2024, W3 Full Professor and head of the research group “Scalable Software Architectures for Data Analytics” at the AI Center ScaDS.AI Dresden/Leipzig at TUD Dresden University of Technology (appointed at age 36).
• From 2020 to 2024, Deputy Full Professor (“W3-Vertretungsprofessor”) for Web Science at the Institute AIFB of the Karlsruhe Institute of Technology (KIT, Germany), leading a team of 7 PhD students, 1 KIT junior research group leader, and 1 postdoc.
• Research in AI, particularly at the intersection of natural language processing (LLMs!), machine learning (GNNs!), and knowledge representation (KGs!), including explainable AI and machine learning on graph data.
• 100+ publications at highly-ranked conferences (e.g., ACL, CIKM, ISWC, ECIR, ECML, NAACL) and in journals (e.g., SWJ, IJDL, Scientometrics) with international researchers as co-authors.
• Princial Investigator (PI) in several projects (e.g., ChemKB, IIDI, KIGLIS, KIWI, TruthfulLM) and multi-million third-party funding.
• Many years of teaching experience: Lectures with up to 600 students, receiving Faculty award.
• Understanding of interdisciplinary research topics based on parallel studies in philosophy (B.A.).

News and Achievements

• 06/2024: 2 Papers (AutoRDF2GML + KGPrompt) accepted at ISWC’24. See you in Baltimore!
• 05/2024: Paper GNNavi accepted at Findings of ACL’24. See you in Bangkok!
• 04/2024: Starting as full professor (W3) at ScaDS.AI Dresden/Leipzig / TU Dresden.
• 11/2023: Best Paper Award (1000 USD) for SemOpenAlex at ISWC’23.

Online Demo Systems

• RefBee: Tracks publications across bibliographic databases.
• C-Rex: Recommends citations for texts.
• PaperHunter: Searches citation contexts in papers.
• ScholarSight: Explores scientific concept trends.
• Linked Crunchbase: Queries startup and innovation data in RDF format.

Data Sets

• SemOpenAlex: A massive knowledge graph about publications, authors, etc.
• DSKG: A knowledge graph of datasets.
• unarXive: Contains annotated full texts from arXive.org.
• Microsoft Academic Knowledge Graph: Metadata of publications across disciplines.
• FAIRnets: Metadata about neural networks.

Projects

• Klartext: AI-based Translation of Websites Into Plain Language

Open Student Positions and Theses

… please ask. See also

• GPT-3, BERT & Co.: When to use which language model?
• Using Quantum Computing in Natural Language Processing
• Alles nur Show? Ein automatischer Vergleich von Nachrichten vor der Bundestagswahl mit dem Koalitionsvertrag mittels Natural Language Processing
• Creating a Dataset of Textual Descriptions of Planned Actions and Expectations of Entities
• Creating a Multimodal Dataset of Actions Labeled with their Expected Durations
• Creating a Dataset of Complex Temporal Questions for Testing Large Language Models (LLMs)
• Advanced Multi-Modality Learning in Electronic Health Records for Personalized Medical Recommendations
• Fusing RDF Knowledge Graphs with Deep Learning for Advanced Recommender Systems
• Extending the RDF Knowledge Graph SemOpenAlex.org
• Large Language Model-enhanced Graph Message Passing Network for Link Prediction
• Stock Market Predictions through Deep Learning
• Designing and Executing a Large-Scale User Study on Scientific Text Simplification

and here.

_{Prof. Dr.-Ing. Michael Färber has supervised over 50 Bachelor and Master theses and encourages both English and German-speaking students to apply. Many thesis topics are available for study abroad through partner institutions and DAAD funding, all with the goal of co-authoring a scientific paper based on the thesis.}