Shenghan Guo

Assistant Professor

Arizona State University

United States

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Shenghan Guo is an Assistant Professor at Arizona State University, USA. His research focuses on areas such as machine learning applications in manufacturing, 3D printing technologies, and biomaterials for health applications. Recent articles include works on robotizing welding processes, contrastive learning for motion monitoring, and the development of 3D-printed materials for various biomedical applications.

Articles (16)

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2025

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2022

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2022

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UNITED STATES

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Andi Wang

Arizona State University

UNITED STATES

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Y. B. Guo

UNITED STATES

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Linkan Bian

Associate Professor and Endowed Professorship

Mississippi State University

UNITED STATES

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Clayton Cooper

Assistant Professor

University of Miami

UNITED STATES

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Shenghan Guo

Research Interests

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Articles (16)

Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration

3D‐Printed Polymeric Biomaterials for Health Applications

Robotizing GTAW through learning human response

CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring

Personalized feature extraction for manufacturing process signature characterization and anomaly detection

Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction

A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition

Applications and prospects of machine learning for aerosol jet printing: A review

3D Printing‐Enabled Design and Manufacturing Strategies for Batteries: A Review

3D Printable Hydrogel with Tunable Degradability and Mechanical Properties as a Tissue Scaffold for Pelvic Organ Prolapse Treatment

Thermal-porosity characterization data of additively manufactured Ti–6Al–4V thin-walled structure via laser engineered net shaping

UIR-Net: Object Detection in Infrared Imaging of Thermomechanical Processes in Automotive Manufacturing

Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network

Process Monitoring and Fault Prediction in Multivariate Time Series Using Bag-of-Words

Identifying manufacturing operational conditions by physics-based feature extraction and ensemble clustering

Collaborators (12)

Sri Vaishnavi Thummalapalli

Jessica Lancaster

Hao Yan

Weihong Guo

Xiangfan Chen

Kenan Song

Robert Gao

Nathan Fonseca

Andi Wang

Y. B. Guo

Linkan Bian

Clayton Cooper

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