PI's talks:
ASPIRE-HFES International Annual Meeting 2024: "High-Fidelity Worker Motion Simulation with Generative AI", Pheonix, AZ, 9/12/2024
IDETC-CIE Conference 2024: "Computer-Vision-Enabled Worker Video Analysis for Motion Amount Quantification", Washington D.C., 8/28/2024
Solid Freeform Fabrication Symposium (SFF) 2024: "Mitigating Overspray in Aerosol Jet Printing: A Deep Learning Approach for Process Optimization", Austin, TX, 8/13/2024
MSEC-NAMRC-LEMP 2023: “Process Signature Characterization and Anomaly Detection with Personalized PCA in Laser-based Metal Additive Manufacturing”, New Brunswick, NJ, 6/15/2023
INFORMS QSR Conference (ICQSR) 2023: contributed talk, "Real-time defect detection using online learning for laser metal deposition ", Raleigh, NC, 6/8/2023
IISE Annual Conference 2022: DAIS cluster, invited talk “Deep-Learning-Based Nondestructive Quality Evaluation for Resistance Spot Welding: Spatial-Temporal Analysis of Infrared Thermal Videos of Weld Nugget”, Seattle, WA, 5/23/2022
IISE Annual Conference 2022: QCRE cluster, invited talk “LMD-cGAN: Deep-Learning-Based Thermal Signature Prediction in Laser Metal Deposition”, Seattle, WA, 5/23/2022
18th IEEE International Conference on Automation Science and Engineering: invited talk “Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition”, Mexico City, Mexico, 8/22/2022
INFORMS Annual Conference 2022: invited talk “A Deep-learning-based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition”, Indiannapolis, IN, 10/16/2022
MSEC-NAMRC 2022: contributed talk “image-based fractographic pattern recognition with cluster analysis”, West Lafayette, IN, 6/26/2022
MSEC-NAMRC 2022: contributed talk “Learning the Temporal Effect in Infrared Thermal Videos with Long Short-Term Memory for Quality Prediction in Resistance Spot Welding”, West Lafayette, IN, 6/26/2022
Seminar at the Department of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, invited talk: "Data-Driven Defect Prediction in Laser Metal Deposition", virtual, 9/16/2021
Seminar at the Department of Industrial and Systems Engineering, Rutgers University, invited talk: "Quality Prediction for Laser-Based Additive Manufacturing by Learning from Thermal Images", virtual, 10/13/2020