Big data and artificial intelligence concept. Machine learning and circuit board. Deep learning

© lee/stock.adobe.com

AI Research at HHU

AI already has a considerable influence on large parts of research and teaching at HHU. The need for further development of AI methods and the use of algorithms in current scientific projects will continue to increase in future and will become a natural research method among others - not only in computer science.

At HHU, numerous scientists in all faculties work on research projects in the fields of artificial intelligence and data sciences. Many of these projects are characterized by an interdisciplinary approach.

Overview: AI research projects at HHU

Measuring investor sentiment from Social Media Data - An emotional approach

VertiGo

Machine learning based detection of organizational structures in startups

Identification of the sustainability orientation of startups over time using machine learning

Application of Machine Learning in Management Research

Usage of AI in Sales Forecasting: The Role of Origin, Accuracy and Explainability

Use of machine learning to detect financial misreporting

Pricing algorithms in hybrid competition between human actors and algorithms

Technologies in medicine and their impact on human self-understanding

Digital Forecasting

The Acceptance of AI: A Comparison among Occupational Groups

Use Case Health

Manchot research group "Decision-making with the help of Artificial Intelligence"

Use Case Business

Manchot research group "Decision-making with the help of Artificial Intelligence"

Use Case Politics

Manchot research group "Decision-making with the help of Artificial Intelligence"

KI-LOK

CoMMoD-A-fib

Continuous vital sign Monitoring with a Mobile Device in patients with high risk for Atrial fibrillation

Helixer

Predicting gene structure with Deep Learning

Digital Health Ethics Working Group

Automated brain tumor segmentation

considering incomplete image sequences

ASSISTO

AI-powered Surveillance Systems for Intensive Systemic Therapies in Oncology

Fair Enough

How can the fairness of learning analytics systems be validated and audited?

Applications of Machine Learning to Medical Imaging

Identifying novel anti-cancer agents using Deep Transfer Learning approaches

Acoustic Intelligence

listen and obey

Improving brain pacemaker therapy through AI

TopSuite

Deep learning-based metamethods for computational structural biology

Responsible Academic Performance Predicton (RAPP)

A socially acceptable approach to the introduction of student performance prediction at a German university

Predicting task performance based on electrophysiological resting state networks

Intrinsic activation features in the brain and the ability to predict a response to stimuli

KIPos

AI-guided postoperative care of cardiac surgery patients

Meinungsmonitor Künstliche Intelligenz (MeMo:KI)

Continuous monitoring and analysis of public and published opinion on AI

SALIENT

Search as Learning - Investigating, Enhancing, and Predicting Learning during Multimodal (Web) Search (SALIENT)

Innovative imaging in (neuro-)radiology

On the conceptual merging of informatics and artificial intelligence technologies with clinical radiology applications.

Preclinical Spinal Cord Injury Knowledge-Base (PSINK)

Learning Analytics and the Possible Consequences of Digital Learning

FAIR/HE

Algorithmic video analysis in the recruitment process and possible consequences

DiscourseData4Policy (DD4P)

AI-based understanding of online solidarity discourses for evidence-based policy making

EAST CITIES

Measuring investor sentiment from Social Media Data - An emotional approach

Responsible for the content: