Weizhi Lin

Dr. Weizhi Lin is a tenure-track Assistant Professor in the Department of Industrial and Systems Engineering at San José State University. She received her Ph.D. in Industrial and Systems Engineering from the University of Southern California in 2025, under the supervision of Prof. Qiang Huang. Her research focuses on domain-informed statistical and machine learning methods for high-dimensional and complex data, including surface manifold data, biosensing signals, and image data. Her work contributes to the development of enabling methodologies for digital twin systems in smart manufacturing and healthcare.

Research Interests

Intelligent digital twin systems for smart manufacturing, healthcare, and complex engineering systems.

Methodological Pillars

• Geometric data representation, modeling, and learning
• Domain-informed machine learning for high-dimensional, multimodal sensor data
• Data-efficient learning, dimension reduction, and latent space modeling

Application Domains

• Automated product qualification and quality control for personalized additive manufacturing
• Robotics and Embodied AI
• Biosensing and nondestructive testing

Openings for Research Projects

• Motivated students who enjoy hands-on experiments and data, rigorous thinking, and building solutions for complex engineering systems are welcome to join the Twin Intelligence Lab!
• We are particularly interested in students with experience or interest in signal processing, computer vision, 3D shape analysis, and computational modeling. Strong motivation to learn is equally important.
• Interested in joining us? Please review our Student Research Opportunities Flyer and complete the Research Interest Application Form.

News

• [Oct. 2026] Student Scholarship Awards Congratulations to my master’s students Keshavi Satish Sharma and Sangeeta Das on being selected as Fall 2026 Davidson Student Scholars (DSS) in the College of Engineering at San José State University! Their research projects are “MAVIS: Multimodal Audio-Visual In-Situ Print Error Monitoring” (Keshavi) and “Primitive-Aware Quality Learning and Process Optimization in Additive Manufacturing” (Sangeeta).
• [Oct. 2025] New Paper Published in IISE Transactions. The paper is titled “AINR: Automated intrinsic non-rigid registration for accuracy qualification of complex freeform products in 3D printing”. [DOI: 10.1080/24725854.2025.2561558].
• [Aug. 2025] Joined the Department of Industrial and Systems Engineering at San José State University as a Tenure-track Assistant Professor.
• [Jan. 2025] New Paper Accepted in IEEE Transactions on Automation Science and Engineering (TASE). The paper is titled “Automated Surface Patch Extraction for 3D Printing Qualification” and is now in press. [DOI: 10.1109/TASE.2025.3535900].
• [Jan. 2025] New Paper Accepted in IEEE Access. The paper is titled “Automated Internal Defect Identification and Localization Based on a Near-field SAR Millimeter-Wave Imaging System” and is now in press. [DOI: 10.1109/ACCESS.2025.3531913].
• [Oct. 2024] Best Poster Winner in the QSR Student Poster Competition, 2024 Annual INFORMS Conference. The title of the poster was “Automated Surface Patch Extraction for 3D Printing Qualification”.