Prof. Dr. techn. Wolfgang Nejdl

Executive Director

+49 511 762-19710

Address

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

SEARCH

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

SoMeCliCS

Social Media and Climate Change: Usage, Literacies and Interventions from the Perspective of Science Education

ATTENTION!

Artificial intelligence for the detection of trade-related money laundering

DaFne

The DaFne project aims to improve the usability of data generation methods for AI researchers and developers by developing an innovative, flexible data generation platform.

Leibniz AI Academy

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

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

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

Medicine

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

LeibnizKILabor

Medicine

The International Future Lab for AI spends three years researching new topics in AI and developing intelligent solutions for personalised medicine.

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”)

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”)

Production

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

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.

Digital Cases

Other projects

Digital Cases research project examines how complex information and case management software in professional organizations structures the processing of cases.

Digispecies

Other projects

Digispecies aims to digitize records of plant and animal species occurrence to document the extent of biodiversity loss.

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

Other projects

CRiTERIA is a novel and human-rights sensitive risk and vulnerability analysis framework based on multi-perspective, multi-source, multi-lingual technologies.

BIAS

Other projects

In BIAS, Experts examine how standards of unbiased attitudes and non-discriminatory practices can be met in big data analysis and algorithm-based decision-making.

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.

IIP-Ecosphere

Production

IIP-Ecosphere creates a novel AI ecosystem that connects stakeholders from industry, service providers, associations, and research.

Big Data for Cochlea Implants

Medicine

Understanding Cochlear Implant Outcome Variability using Big Data and Machine Learning Approaches.

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