Forschungsbereiche und -interessen

Data Analysis, Machine Learning, Natural Language Processing, Computer Vision

Aktivitäten

SMALO, Binntelligent, TinKer No-Stress Manufacturing AI Automated Industry Analytics

Projekte

AuslastMeister
Entwicklung der KI-Verfahren zur Prognose von Auftragswahrscheinlichkeiten und zur Auslastungsoptimierung der kollaborativen Angebotsplanung
01.01.2026 - 30.06.2027

VR-VET
Virtual Reality network for VET providers
01.01.2024 - 31.12.2026

AI Industry Analytic
AI Automatisierte industrielle Analytik: Befähigung von Werksmitarbeitern aller Qualifikationsstufen zu fundierten, intelligenten und schnellen Entscheidungen
01.01.2024 - 31.12.2024

No-Stress Manu.
No-Stress Manufacturing | Monitoring Human Factors at the Production Line
01.01.2023 - 31.12.2023

Publikationen

Artikel in einem Journal (referiert)

Ekwaro-Osire, H., Ponugupati, S. L., Noman, A. a., Bode, D., Thoben, K.-D.
Data augmentation for numerical data from manufacturing processes: an overview of techniques and assessment of when which techniques work
In: Industrial Artificial Intelligence, 3(2025), 1, DOI 10.1007/s44244-024-00021-x
[DOI | BibTeX]

Heuermann, A., Ghrairi, Z., Zitnikov, A., Noman, A. a., Thoben, K.-D.
An approach for unsupervised interaction clustering in human–robot co-work using spatiotemporal graph convolutional networks
In: Frontiers in Robotics and AI, 12(2025), 1545712, DOI 10.3389/frobt.2025.1545712
[DOI | BibTeX]

Noman, A. a., Heuermann, A., Wiesner, S. A., Thoben, K.-D.
A Review of Vessel Time of Arrival Prediction on Waterway Networks: Current Trends, Open Issues, and Future Directions
In: Computers, 14(2025)2, 41, DOI 10.3390/computers14020041
[DOI | BibTeX]

Zitnikov, A., Heuermann, A., Thoben, K.-D., Noman, A. a.
Multi-model learning for vessel ETA prediction in inland waterways using multi-attribute data
In: Systems Science & Control Engineering, 13(2025)1, 2546833, DOI 10.1080/21642583.2025.2546833
[DOI | BibTeX]

Konferenzbeitrag (referiert)

Noman, A. a., Zitnikov, A., Patwary, F. A., Heuermann, A., Thoben, K.-D.
Explaining Manufacturing Anomalies: Transformer-Based Detection with xAI for Imbalanced Process Data
In: IFAC-PapersOnLine, 59(2025)10, pp. 1498-1503, DOI 10.1016/j.ifacol.2025.09.252
[DOI | BibTeX]

Heuermann, A., Ghrairi, Z., Zitnikov, A., Noman, A. a.
Capturing and Modelling Variety of Human-Robot Interactions at Complex Production Workplaces
In: Procedia CIRP, 130(2024), pp. 879-884, DOI 10.1016/j.procir.2024.10.179
[DOI | BibTeX]

Zitnikov, A., Noman, A. a., Heuermann, A., Thoben, K.-D.
Resource-efficient condition determination through discrete production system monitoring
In: IFAC-PapersOnLine, 58(2024)19, pp. 325-330, DOI 10.1016/j.ifacol.2024.09.208
[DOI | BibTeX]

Noman, A. a., Heuermann, A., Wiesner, S. A., Thoben, K.-D.
Towards Data-Driven GRU based ETA Prediction Approach for Vessels on both Inland Natural and Artificial Waterways
In: 24th IEEE International Conference on Intelligent Transportation Systems, ITSC 2021. September 19-22, 2021, Indianapolis, IN, United States. IEEE Press, Piscataway, 2021, pp. 2286-2291, DOI 10.1109/itsc48978.2021.9564883
[DOI | BibTeX]