Molan Zhang

Postdoctoral Research Associate at Oak Ridge National Lab, focusing on data-driven research aimed at advancing welding and joining technologies for high-rate manufacturing applications. 

Ph.D. in Electrical and Computer Engineering with expertise in weakly supervised learning (WSL) and AI for scientific applications. Published 12+ papers in varies conferences (CVPR, IGARSS) on AI-driven solutions for data-scarce challenges.

Proven ability to design label-efficient AI models for remote sensing, materials science, and disaster analytics. Proficient in Python, PyTorch, and generative models, passionate about cross-disciplinary collaboration like applying AI and Sensing technologies for societal benefit.