Lab members
Collaborators
Formerly with us
We are Hiring
Dr. Jianjun Hu

Principal Investigator Tel:803-777-7304
Dr. Hu is interested in deep learning, machine learning, data mining, evolutionary algorithms and their applications in scientific discovery and engineering innovation in materials science, bioinformatics, health and medical informatics, intelligent manufacturing, functional genomics. He got his Ph.D. in Computer Science in the area of machine learning and particularly evolutionary computation at the Genetic Algorithm Research and Application Group (GARAGe) of Michigan State University. He worked as Postdoc on the DNA motif discovery problem at Kihara Bioinformatics Lab, Purdue University and on microarray analysis at the Computational Molecular Biology Division at the University of Southern California (another USC)
Edirisuriya M. Dilanga Siriwardane

Postdoc (since 2020/9)
Dilanga was graduated from Department of Physics & Astrophysics, University of North Dakota with Ph.D. in computational materials. His interests include machine learning and artificial intelligence based material discovery. He is now working on lithium compound superionic conductor materials discovery, crystal structure prediction
Zheng Xiong

PhD Student (since 2014/9)
Zheng Xiong was graduated from Beijing University of Post and Communication. His research interests include machine learning, data mining and Material informatics. He is now working on phase mapping analysis of XRD data
Yuxin Cui

PhD Student (from Fall 2014)
Yuxin was graduated from Harbin Institute of Tech (Shenzhen graduate school). His research interest is breast cancer image analysis
Alierza Nasiri

PhD Student (from Fall 2017)
Ali was graduated from Isfahan University of Technology in Iran with B.S. in Computer Science. He was a master student for 2 years at Marmara University in Turkey. His research interests include deep learning, machine learning, audio and speech signal processing
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Yong Zhao

PhD Student (from Fall 2018)
Yong was graduated from Qingdao University of Technology with Master in Control Engineering and he was a PhD student in New Jersey Institute of Technology for 2 years. His interests include deep learning, machine learning, NLP and material informatics. Currently, he is working on materials properties prediction and discovery..
Steph-Y. Louis

PhD Student (from Fall 2018)
Steph-Yves Louis graduated with a M.S.P.H degree from the Department of Biostatistics at the University of South Carolina in 2018. He also earned a B.S. in Mathematics from Belmont Abbey College. His research interests include machine learning, deep learning, and materials informatics.
Yuqi Song

PhD Student (from Fall 2019)
Yuqi was graduated from Chongqing University with M.S and B.S in Software Engineering. Her research interests include machine learning, deep learning and their application in material properties prediction and materials discovery.
Rui Xin

PhD Student (from Summer 2020)
Rui was graduated from Beijing Univ of Posts and Telecommunications with M.S and B.S in Electrical Engineering. His research interests include machine learning, deep learning, active learning and their application in material properties prediction and materials discovery.
Stanislav S Stefanov

Undergraduate RA
(from 2020/9)
Stanislav Stefanov is an undergraduate Computer Science student from Greenville, South Carolina. His research interests are full-stack web development, database design, and machine learning. He is currently working on a web platform to provide online materials informatis services and help visualize newly discovered materials data.
Daniel Gleaves

Undergraduate RA
(from 2021/1)
Daniel is an undergraduate Computer Science student in the Honors College. His research interests include machine learning, deep learning, and reinforcement learning. He is currently working on material synthesizability prediction using graph neural network-based semi-supervised learning.
Andrew Eldridge

Undergraduate RA
(from 2021/1)
Andrew Eldridge is an undergraduate Computer Science and Mathematics student. His research interests include machine learning, computer vision, and signals intelligence. He is currently working on carbon potential generation through symbolic regression.
Xeeral Agha

Undergraduate RA
(from 2021/1)
Xeerak is an undergraduate Computer Engineering student at the UofSC Columbia. His research focuses include machine learning and deep learning. He is currently working on protein design solutions using machine and deep learning algorithms.
Shreya Bose

Undergraduate RA
(from 2021/1)
Shreya Bose is a final year undergraduate student majoring in Computer Science at University of South Carolina. Her research interest include machine learning and deep learning. She is currently working on the application of materials property prediction.
Interested in joining us? check openings.
We welcome visiting students supported by government funding..