Shenghan Guo
Scholar

Shenghan Guo

Google Scholar ID: fOwlLlEAAAAJ
Arizona State University
Data AnalyticsMachine LearningStatisticsManufacturing
Citations & Impact
All-time
Citations
957
 
H-index
14
 
i10-index
19
 
Publications
20
 
Co-authors
7
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - The paper 'Adversarial Domain Adaptation for Improved Part-to-Part Generalization of Deep Learning Segmentation Models in Aerosol Jet Printing' was accepted by the Journal of Manufacturing Sciences and Engineering.
  • - The paper 'Robotizing GTAW through Learning Human Response' was accepted by Welding in the World.
  • - The paper 'Data Quality Improvement and Geometric Information Recovery for Resistance Spot Welding with Spatial-Temporal Fast Fourier Transform' was accepted by Quality Engineering.
  • - The paper 'CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring' was accepted by MDPI Sensors.
  • - The paper 'MPS-GAN: A Multi-Conditional Generative Adversarial Network for Simulating Input Parameters’ Impact on Manufacturing Processes' was accepted by the Journal of Manufacturing Processes.
  • - The paper 'Machine Learning–Enabled Direct Ink Writing of Conductive Polymer Composites for Enhanced Performance in Thermal Management and Current Protection' was accepted by Energy Storage Materials.
  • - The paper '3D X-ray Computed Tomography Image Segmentation and Point Cloud Reconstruction for Internal Defect Identification in Laser Powder Bed Fused Parts' was accepted by the Journal of Manufacturing.
Research Experience
  • Leads the DAIM (Data Analytics & Insights in Manufacturing) research group; involved in multiple research projects related to smart manufacturing.
Background
  • Research interests include developing AI and data-driven solutions to enable human-centric smart manufacturing.
Miscellany
  • Photo taken with Hasnaa and Pius in the lobby of ASU Technology Center (Mesa AZ, Fall 2023).