Institute for Data Science, Cloud Computing and IT Security

Interdisciplinary and cutting-edge

The IDACUS Institute team

The Institute for Data Science, Cloud Computing and IT Security (IDACUS) is part of the Faculties of Computer Science, Business Information Systems and Business Administration and Engineering at Furtwangen University. The institute is active in the following fields of research: data science, cloud computing, IT security, Industry 4.0, machine learning, privacy and sustainability issues.

You can find detailed information about our team, research activities, ongoing projects, publications and contact information on the institute website.

External link opens in a new window:To the IDACUS institute website

Our research projects

Current projects

Block DT

Blockchain for Protecting Security and Sustainability for Digital Twins using Digital Passport

bwCloud 3

Significant expansion to Software-as-a-Service (SaaS) within the bwCloud

CSupMNE

Upgrading cyber security of Montenegrin higher education system

PräziLoop

Closed loop manufacturing of precision components in small series based on machine learning using high-frequency fine-granular process data

KICO2Opt

AI-based CO2 monitoring and optimisation in metal processing

Completed research work

Mobile Cluster

Realisation of image rendering distributed over a computer cluster

Desktop Grid

Windows desktop grid to support calculation of holographic data storage simulations

WWW Attacks

Guidelines with information and best practices on Internet attacks

HPC in Cloud

Secure and data protection-conscious high-performance computing in cloud infrastructures

KIEBiZ

KI-based Solutions in Endoscopy Image Processing: Robustness and Certification

SOA Black Forest

P2P management system on a distributed ESB infrastructure

SAaaS

Software for detecting distributed attacks on a cloud computing environment

CloudDataSec

Design cloud services to comply with national data protection laws

Studi-Cloud

Easy-to-use cloud wizard for virtual machine types

CloudIA

Cloud computing for e-learning and research purposes for small and medium-sized enterprises (SMEs)

AAL-PCEICL

Assistive Systems and Technologies to Secure Social Relationships and Participation for People in Need of Assistance

ASLAMaaS

Autonomic SLA Management as a Service for Cloud Services

A4Cloud

Accountability for Cloud and Other Future Internet Services

ABAC4REST

Efficient planning of attribute-based access control for RESTful services

Gardion

Network security product for secure and data-saving access to the Internet

Data analysis of autonomous vehicle driving information

CarDataAnalysePlatform @ HFU

HALFBACK

Cross-border, highly available smart factories in the cloud

SensoGrind

Quality evaluation of grinding processes using MST-based sensor fusion

UpperRhine 4.0

Networking and cooperation between companies in the Upper Rhine region

BISS:4.0

Development of methods for monitoring and logging the exchange of information

DAC4IoT

Distributed Access Control for the Internet of Things

bwGPUL

Provision of teaching and experimental environments for the use of GPU-based applications in teaching

KOSMoS

Collaborative Smart Contracting Platform for Digital Value Networks

PREFERML

Proactive Error Avoidance in Production through Machine Learning

Q-AMeLiA

Quality Assurance of Machine Learning Applications

DigNest

Digital Entrepreneurial Nest and Industry 4.0 in Montenegro

FiSK

Effects of adaptive feedback bots in the simulated classroom on procedural professional knowledge

DIDEM

Digital technologies for the care of those with dementia

COSMIC-X

Collaborative Smart Services for Industrial Value Chains in Gaia-X

KIM-Labs

Artificial Intelligence Mountains Labs

CASE4Med

Simulation, data analysis and artificial intelligence for the medical technology sector

DLDS

Data Literacy and Data Science for SMEs: Training and Qualification

START

Self-Adapting Tool for Automated Receiver Test based on Artificial Intelligence

DQ-Meisterin/Meister

Predictive quality assessment for complex production processes

ImageGuard

AI-based detection of manipulated and AI-generated images

XAI4HiL-ML

Human in the Loop approaches for safe and reliable AI systems in visual inspection

EDIH Südwest

European Digital Innovation Hub Südwest

KISS / Data Management

Artificial Intelligence Service and Systems Sub-project: Data management

CoHMed

Connected Health in Medical Mountains: Furtwangen University's innovation and transfer partnership

XQuality

Explainable quality assurance and diagnostics in manufacturing processes

SUSO

Development of socially, environmentally and economically sustainable IT products and services

NIO

AI-powered information tool for utilising real-world data in oncology

Doctorates

Current doctoral candidates

Matthias Lermer: Automated Quality and Maintenance Control by Digital Twins, Universitè Haute-Alsace/FR
Liane-Marina Messmer: Context-Aware Machine Learning, Universitè Haute-Alsace/FR
Fatemeh Stodt: Secure and Scalable Distributed Network using Blockchain and Zero Trust for IIoT, Universitè Strassbourg/FR
Niels Schneider: XAI for Time Series Data, zentrales Promotionskolleg BW/Furtwangen
Rudolf Hoffmann: XAI for Quality Assurance in Manufacturing Explainable Ma, zentrales Promotionskolleg BW/Furtwangen
Julius Wiggerthale: Explainable Machine Learning in Industry: What it Takes to Apply Machine Learning in Critical Applications
Manav Madan: Tiny Object Detection

Completed doctoral degrees

Frank Gut (geb. Dölitzscher): Security Audit Compliance For Cloud Computing, Dissertation, University of Plymouth/UK, Februar 2014, 356 Seiten. https://pearl.plymouth.ac.uk/secam-theses/76/
Thomas Rübsamen: Evidence-based Accountability Audits for Cloud Computing. Dissertation, University of Plymouth/UK, 2016, 421 Seiten. https://pearl.plymouth.ac.uk/secam-theses/243/
Stefan Frey: Autonomic Management of Service Level Agreements in Cloud Computing. Dissertation, University of Plymouth/UK, 2020, 122 Seiten. https://pearl.plymouth.ac.uk/secam-theses/427/
Kevin Wallis: IT-Sicherheit in Internet-of-Things Cloud Gateways, Albert-Ludwigs-Universität Freiburg, 2023, 190 Seiten. https://freidok.uni-freiburg.de/data/241696
Hendrik Kuijs: A Platform as a Service Framework for Ambient Assisted Living Services. Dissertation. University of Plymouth/UK, 2023, 227 Seiten. https://dx.doi.org/10.24382/5126.
Holger Gantikow: Secure High Performance Computing provided as PaaS. University of Plymouth/UK, 2024
Philipp Ruf: Machine Learning Environments for Cyber Physical Systems. Universitè Haute-Alsace/FR, 2024. https://www.theses.fr/s256698
Daniel Schönle: Machine Learning in e-Learning Environments. Universitè Haute-Alsace/FR, 2024.
Jan Stodt: Accountable Machine Learning. University of Plymouth/UK, 2024, https://researchportal.plymouth.ac.uk/en/studentTheses/explainability-and-understandability-of-artificial-neural-network
Dirk Hölscher: Data Quality Assessment and Augmentation Framework for Big Data. University of Plymouth/UK, 2025.