Ghent University Academic Bibliography

Your filters: cql: author="Iuso, Domenico" or (type any "bookEditor issueEditor" and editor="Iuso, Domenico")

Add to list
Multimodal data fusion for high-speed in situ detection of deformation defects in selective laser sintering

Mathieu Vandecasteele (UGent) , Ricardo Santander, Domenico Iuso, Mohsen Nourazar (UGent) , Sven Cornelissen and Brian Booth (UGent)

(2026) Laser 3D Manufacturing XIII. In Proceedings of SPIE 13884.
Add to list
- Journal Article
- A1
- open access
High-speed multimodal actionable porosity prediction for enabling in-process control of selective laser sintering

Mathieu Vandecasteele (UGent) , Ricardo Santander, Domenico Iuso, Mohsen Nourazar (UGent) , Wilfried Philips (UGent) , Sven Cornelissen and Brian Booth (UGent)

(2026) MEASUREMENT SCIENCE AND TECHNOLOGY. 37(2).
Add to list
- Conference Paper
- C3
- open access
A high-speed multi-modal in-situ monitoring system for targeting multiple defect types in selective laser sintering

Mathieu Vandecasteele (UGent) , Ricardo Santander, Domenico Iuso, Mohsen Nourazar (UGent) , Sven Cornelissen and Brian Booth (UGent)

(2025) Leuven Additive Manufacturing Conference 2025, Abstracts.
Add to list
A high-speed multimodal in-situ monitoring system for detecting porosity and deformation defects in the powder bed fusion of metallic parts

Mathieu Vandecasteele (UGent) , Samuel searle, Domenico Iuso, Mohsen Nourazar (UGent) , Ayyoub Ahar, Milad Hamidi Nasab, Bey Vrancken and Brian Booth (UGent)

(2025) Euro PM2025 Proceedings.
Add to list
- Conference Paper
- P1
- open access
High-speed deformation prediction in selective laser melting using context-adaptive neural networks

Mathieu Vandecasteele (UGent) , Domenico Iuso, Milad Hamidi Nasab, Dries Verhees, Joaquim Sanctorum, Mohsen Nourazar (UGent) , Abdellatif Bey-Temsamani and Brian Booth (UGent)

(2024) 2024 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA. In IEEE International Conference on Emerging Technologies and Factory Automation-ETFA p.1712-1719
Add to list
- Journal Article
- A1
- open access
Towards material and process agnostic features for the classification of pore types in metal additive manufacturing

Mathieu Vandecasteele (UGent) , Rob Heylen, Domenico Iuso, Aditi Thanki, Wilfried Philips (UGent) , Ann Witvrouw, Dries Verhees and Brian Booth (UGent)

(2023) MATERIALS & DESIGN. 227.

Academic Bibliography

Multimodal data fusion for high-speed in situ detection of deformation defects in selective laser sintering

High-speed multimodal actionable porosity prediction for enabling in-process control of selective laser sintering

A high-speed multi-modal in-situ monitoring system for targeting multiple defect types in selective laser sintering

A high-speed multimodal in-situ monitoring system for detecting porosity and deformation defects in the powder bed fusion of metallic parts

High-speed deformation prediction in selective laser melting using context-adaptive neural networks

Towards material and process agnostic features for the classification of pore types in metal additive manufacturing

Contents

Support

Contact