Research in the field of "Data Science"

The Data Science +X Research Center at the BHT conducts use-inspired basic research.

Our use-inspired basic research is often based on public funding with industrial or health care partners. This basic research has a horizon of about 36-60 months and looks at fundamental and often risky research questions.

Some projects investigate to focus on very narrow research questions. The typical project duration for these projects is about 12-18 months. We develop prototypical solutions for Real-World problems in the field of search and data mining and in subsequent theses with companies such as Zalando, Springer Science + Business Media or HERE (formerly NOKIA HERE).

Servicemeister (BMWi)

Artificial intelligence (AI) based cross-company service platform for the german industry

Green Consumption Assistant (BMUV)

Artificial Intelligence (AI) based Assistant that will support consumers to make more sustainable shopping decisions

KInsekt (BMUV)

KI basiertes Insektenmonitoring mit Citizen Science

Maschinelles Lernen für Biodiversität (BMUV)

Entwicklung von Verfahren des Maschinellen Lernens (ML) zur automatisierten Erkennung von Insekten

Energy Cost Savings (EU-EFRE: BENE)

Forecasting Energy Cost Savings in Weather-Guided Heating Control

VITALab.Mobile (BMBF)

A mobile VR/AR laboratory for case and field studies as well as clinical trials to evaluate novel forms of virtual therapies and scientific research.

VR-REACH (IFAF)

A novel method for the therapy of school anxiety in children and adolescents using a VR application as part of a pilot study.

Transparency in Machine Learning

A collaboration with Philipp Schmidt, Amazon Research, and Prof. Timm Teubner, TU Berlin, to investigate whether and when transparency in AI actually increases trust in AI systems.

Interaction-based RDW

RDW utilizes imperfections of human perception to introduce small changes like rotations or translations to steer the user away from the tracking boundaries.

Vessel Segmentation

Our work highly encourages the development of clinically applicable segmentation tools based on deep learning.

PABlo (IFAF)

Anwendungsmöglichkeiten der Blockchaintechnologie in KMU identifizieren und Wissenstransfer zu leisten.

ExCell (BMWi)

Enableing integrated mobility services for medium-sized enterprises.

FashionBrain (H2020)

Strengthen the positions of European fashion retailers among their world-wide competitors.

PLASS (BMWi)

Platform for AI-based decision support for supply chain management

Human.VR.Lab (BMBF)

with focus on the interfaces between the life sciences, robotics, mechanical engineering and computer science

DiSEA (BMBF)

Digitale Studiengänge - Analyse von Erfolgs- und Abbruchfaktoren

Students Advice

to exploit the data that universities have about the academic achievements of their current and past students

SynthNet (BMBF)

A solution approach consisting of synthetically generating all required comparison images from a real-world industry grade 3D CAD data and using them for object identification.

BewARe (BMBF)

Based on sensor data acquired from the patients during training sessions the system adapts to patients individual training needs and thereby serves as a non-drug therapy for people with hypertension.

WINK _ Gestensteuerung (BMBF)

Die Hände und Finger als primäre Werkzeuge in der physischen Welt sollen für die Interaktion mit digitalen Geräten nutzbar werden.

Illusionary Surface Interfaces (DFG)

We aim to create novel interactive experiences, that exploit multisensory illusions in order to extend the range of interface properties that can be displayed, using only everyday object surfaces as interfaces.

NOHATE (BMBF)

Examining hate communication in social media, online forums and commentary areas

FLFDDR (DFG)

Research platform "Literary field GDR": authors, works, networks – Pilot study

Berlin Big Data Center (BMBF)

Re-Launching research into big data and IT security in Germany

mEDUator (BMBF)

Mediatorplattform für interoperable Bildungstechnologien (mEDUator)

KIP-SDM (BMBF)

Datenintegrations- und Datenanalysemethoden sowie darauf aufbauende KI-Anwendungen für Sturzprävention – Beispielanwendung für alternative relevante Fragestellungen

Outcome Prediction from Patient Letters

AI-based outcome prediction from clinical texts

Tbox

A prediction model for permanent graft loss in renal transplant patients

Clinical Assertion Classification

Evaluation of state-of-the-art medical language models

Cross-Lingual Knowledge Transfer for Clinical Phenotyping

Automatic extraction of clinical conditions from patient records

A Quantitative Force Map of the Mitotic Spindle (DFG)

Understanding the way in which cells engineer micrometer-scale structures.

CELLbioprints (IFAF)

Mittels 3D-Druck zelluläre Strukturen zu simulieren und Beziehungen zwischen Materialeigenschaften und Geometrie etablieren

MACSS (BMWi)

Developing the prototype of a novel patient-centered Smart Health Service platform

Smart-MD (BMWi)

Converting medical case data from clinics into legally secure data products.

Smart Learning (BMBF)

Part of the funding program "Digital Media in Vocational Education and Training"

Data Quality in Machine Learning Systems

developing methods for better automation of monitoring of data quality, improvement of data quality and prediction of data quality problems in ML production systems

OCIDA (IFAF)

Optimizing Online Customer Interaction by Advanced Data Analytics (OCIDA)

Smart Web Data (BMWi)

Bringing together Web 3.0, Big Data and Industry 4.0