Area of research
Automotive Engineering · Mechanical Engineering
Research interest
Research interests include Computer science, Artificial intelligence, Artificial neural network, Deep learning, Robot, and Energy (signal processing).
A physics-informed neural network framework for decomposition and path planning in multi-laser additive manufacturing
Three-dimensional spatial energy-quality map construction for optimal robot placement in multi-robot additive manufacturing
Kinematics-guided data-driven energy surrogate model for robotic additive manufacturing
Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data
Energy-efficient and quality-aware part placement in robotic additive manufacturing
Physics-Informed Artificial Intelligence for Temperature Prediction in Metal Additive Manufacturing: A Comparative Study
Model-based deep learning for additive manufacturing: New frontiers and applications