Prof. Dr. techn. Wolfgang Nejdl

Executive Director

Prof. Dr. techn. Wolfgang Nejdl

Executive Director

Wolfgang Nejdl is Full Professor and Chair at the  Institute of Data Science / Knowledge-Based Systems Group at the Leibniz University Hannover and founding member of the L3S Research Center

Research Focus
  • search and information retrieval
  • social web and social media
  • data mining and artificial intelligence
  • technology enhanced learning
Publications

For a list of Wolfgang Nejdl’s publications, please visit his Google Scholar page.

Curriculum vitae

Since 2001 Founding member and head of the L3S Research Center

Since 1995 Full Professor (C4) of Computer Science Leibniz Universität Hannover

1992-95 Associate Professor (C3) of Computer Science, RWTH Aachen University

1988-92 Senior Researcher, TU Vienna

Since 1988 Visiting Researcher/Professor at Xerox PARC, Stanford University, University of Illinois at Urbana-Champaign, EPFL Lausanne, PUC Rio, Univ. Trento, Politecnico di Milano

1984-88 Doctoral studies (Dr.techn.), Vienna University of Technology

1980-84 Studies of Computer Science (Dipl.Ing.), TU Vienna

Current projects at L3S

SoBigData RI PPP

SoBigData RI PPP

The SoBigData RI Preparation Phase Project (PPP) is the preparatory phase of the SoBigData RI in the ESFRI RoadMap 2021.
SEARCH

SEARCH

SEARCH creates an intelligent digital education space for problem- and benefit-oriented search of digital learning content.
ATTENTION!

ATTENTION!

Artificial intelligence for the detection of trade-related money laundering
Leibniz AI Academy

Leibniz AI Academy

Development and establishment of a transcurricular, cross-disciplinary micro-degree program "Leibniz AI Academy" at Leibniz Universität Hannover (LUH).
DAISEC

DAISEC

The European Digital Innovation Hub for AI and Cybersecurity (DAISEC) supports companies from the production, mobility and skilled crafts sectors as well as the public sector in the application and development of Artificial Intelligence and Cybersecurity.
xAIM

xAIM

Education
The xAIM project aims to create an online master's program focused on the application of explainable AI in healthcare, to train healthcare professionals in AI and computer scientists in healthcare.
PRESENt

PRESENt

Medicine
The PRESENt consortium uses data-intensive technologies and machine learning for personalized prognosis, prevention and treatment of norovirus infections.
KnowGraphs

KnowGraphs

Knowledge graphs (KGs) are a flexible knowledge representation paradigm intended to allow knowledge to be consumed by humans and machines.
Zukunftslabor Gesellschaft und Arbeit, Future Lab Society and Work

Zukunftslabor “Gesellschaft und Arbeit” (Future Lab “Society and Work”)

Other projects
In the Future Lab (Zukunftslabor) Society and Work, L3S carries out research on intelligent, reliable and responsible approaches of artificial intelligence.
Zukunftslabor "Produktion" (Future Lab "Production")

Zukunftslabor “Produktion” (Future Lab “Production”)

Production
In the Future Lab (Zukunftslabor) Production, L3S is researching artificial intelligence methods to support industrial manufacturing.
Zukunftslabor "Gesundheit" (Future Lab "Health“)

Zukunftslabor “Gesundheit” (Future Lab “Health“)

Medicine
The Future Lab (Zukunftslabor) Health provides application-oriented answers to promote innovative solutions to establish digital technologies for care and nursing.
d-E-mand

d-E-mand

Mobility
d-E-mand aims to create a foundation for small businesses to create novel services in context of increased spatio-temporal charging demand of electric vehicles.
CRiTERIA

CRiTERIA

Other projects
CRiTERIA is a novel and human-rights sensitive risk and vulnerability analysis framework based on multi-perspective, multi-source, multi-lingual technologies.
Fluorescence microscopic image of a multi-species biofilm on stainless steel

BacData

Medicine
Building an analytics framework for precision microbiology to fight biofilm-associated infections.
5GAPS

5GAPS

Knowledge Graphs and Data Integration | Business & Society
5GAPS is a platform for real-time multi-attribute space capture and multi-dimensional object positioning aiming to digitally recreate Hanover in real-time