Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Materials science, Perovskite (structure), Workflow, Band gap, Throughput, and Interpretability.
Microclimate spatio-temporal prediction using deep learning and land use data
Transfer Learning-Based Artificial Intelligence-Integrated Physical Modeling to Enable Failure Analysis for 3 Nanometer and Smaller Silicon-Based CMOS Transistors
Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks