Jianjun Hu

Jianjun Hu is a Professor in the Department of Computer Science and Engineering at the Molinaroli College of Engineering and Computing, University of South Carolina. His research focuses on machine learning, deep learning, data mining, and evolutionary computation applied to bioinformatics, material informatics, and health informatics. Current projects include developing deep learning algorithms for intelligent audio processing, data-driven materials discovery, and medical image analysis.

• Education:
  • Ph.D. in Computer Science (2004), Michigan State University
  • Postdoc at University of Southern California (2005-2007) and Purdue University (2004-2005)
• Research Empowerment:
  • Secured funding from NSF, NIH, Nvidia, and the South Carolina Department of Transportation
  • Developed materials informatics platforms like Materialsatlas.org
  • Created algorithms for protein-peptide binding prediction and crystal structure discovery
• Scientific Contributions:
  • Editorial roles at PLOS ONE and Journal of Health & Medical Informatics
  • Key conference reviewer for GECCO and BIBM
• Academic Mentorship:
  • PhD advisors: Ananda Mondal, Jhih-Rong Lin, Emrah Atigan, Swain Mrutyunjaya
  • MS thesis advisors: Guoyu Lu, Emrah Atilgan, Kevin Chien, Mythri Sunkara
• Laboratory:
  • Machine Learning and Evolution Group (MLEG) at University of South Carolina
  • Focus on deep learning for materials discovery, healthcare analytics, and evolutionary algorithms