Simon Van den Eynde

KU Leuven — Belgium

Engineering · Physical Sciences

10h-index349citations16works2.82yr avg
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Research Topics

Laser-induced spectroscopy and plasma(9), Recycling and Waste Management Techniques(6), Extraction and Separation Processes(5), Cultural Heritage Materials Analysis(4), Mineral Processing and Grinding(4)

Publications16 total

Investigation of a Sink-Float Plastic Separator Through Computational Fluid Dynamics and Particle Image Velocimetry
SSRN Electronic Journal·2025Open Access
Evaluating the effectiveness of density-based sorting of plastics from WEEE and ELVs
Resources Conservation and Recycling·2024· 9 citedOpen Access
Evaluating the Effectiveness of Density-Based Sorting of Plastics from WEEE and Elvs
SSRN Electronic Journal·2024Open Access
Comparative Life Cycle Assessment of Aluminium Scrap Treatment Strategies
Procedia CIRP·2024· 2 citedOpen Access
Quantification of alloying elements in steel targets: The LIBS 2022 regression contest
Spectrochimica Acta Part B Atomic Spectroscopy·2023· 24 citedOpen Access
Deep learning regression for quantitative LIBS analysis
Spectrochimica Acta Part B Atomic Spectroscopy·2023· 25 citedOpen Access
Classification of aluminum scrap by laser induced breakdown spectroscopy (LIBS) and RGB + D image fusion using deep learning approaches
Resources Conservation and Recycling·2023· 35 citedOpen Access
Real-time classification of aluminum metal scrap with laser-induced breakdown spectroscopy using deep and other machine learning approaches
Spectrochimica Acta Part B Atomic Spectroscopy·2022· 35 citedOpen Access
Simultaneous mass estimation and class classification of scrap metals using deep learning
Resources Conservation and Recycling·2022· 36 citedOpen Access
Deep Learning Regression for Quantitative LIBS Analysis of Aluminium Scrap
SSRN Electronic Journal·2022· 2 citedOpen Access
A comparative assessment of resource-use criticality in advanced lithium-ion battery technologies
Procedia CIRP·2022· 10 citedOpen Access
Assessing the efficiency of Laser-Induced Breakdown Spectroscopy (LIBS) based sorting of post-consumer aluminium scrap
Procedia CIRP·2022· 25 citedOpen Access
Techno-Economic Assessment of Robotic Sorting of Aluminium Scrap
Procedia CIRP·2022· 13 citedOpen Access
Classification of Aluminum Scrap by Laser Induced Breakdown Spectrometry (Libs) and Rgb+D Image Fusion Using Deep Learning Approaches
SSRN Electronic Journal·2022· 1 citedOpen Access
Forecasting global aluminium flows to demonstrate the need for improved sorting and recycling methods
Waste Management·2021· 86 citedOpen Access
Deep learning computer vision for the separation of Cast- and Wrought-Aluminum scrap
Resources Conservation and Recycling·2021· 46 cited

Frequent Co-authors

Jef Peeters(16), Dillam Jossue Díaz‐Romero(13), Isiah Zaplana(13), Wouter Sterkens(5), Toon Goedemé(5), Bart Engelen(4), Wim Dewulf(3), Theodoros Dimas(3), Ellen Bracquené(2), Joost R. Duflou(2), Chuangchuang Zhou(2), Stijn Waumans(2), Alexander W. Eckert(1), Erik Képeš(1), Jakub Vrábel(1), Panagiotis Siozos(1), Victor Piñón(1), Pavlos Pavlidis(1), Demetrios Anglos(1), Tong Chen(1)