Welcome to UofSC Machine Learning and Evolution Laboratory (MLEG) at the Department of Computer Science and Engineering, University of South Carolina. Our research focuses on development of deep learning, machine learning, data mining, and evolutionary algorithms for knowledge discovery and innovation in material science, bioinformatics, medical and health sciences, engineering designs, and etc. We have worked on DNA regulatory motif discovery, microarray analysis, phenotype prediction/computational disease diagnosis, and gene/protein function prediction, X-ray data based phase mapping, protein-DNA, protein-ligand binding, breast cancer diagnosis based on image processing, cell segmentation, DFT based material doping, and etc.
Currently, we are working on deep learning based generative inverse design of materials and proteins, drug design,crystal structure prediction, deep learning and its applications in materials discovery, computer vision, Natural Language Processing, Audio/Sound Pattern Recognition, and fault diagnosis. We seek to develop and apply the latest artificial intelligence algorithms such as machine learning, deep learning, genetic algorithms, genetic programming, dimension reduction, non-linear mapping, sparse coding, and etc to solve challenging scientific and real-world problems.

Keywords: Machine keywords: Deep learning, Machine learning, Material Informatics, Bioinformatics, Data mining, Health Informatics;