I lead the BigData Analytics Research Group in School of Computing (BigData@Clemson). Currently, my research areas have included: Deep Learning and application, high throughput biological data analysis, data-intensive bioinformatics, network biology, computational genomics and genetics.

Currrent Funded Projects

  • “CAP: Fast selection, assessment, and delivery of HLB-resistant/tolerant citrus variants as new scion and rootstock cultivars”, NIFA.

  • “RII Track-1: ADAPT in SC: AI-enabled Devices for the Advancement of Personalized and Transformative healthcare in South Carolina”, NSF.

  • “NRT-AI: Harnessing AI for Inverse Design Training in Advanced and Sustainable Composites (IDeAS Composites)”, NSF.

  • “Virtual Sensor Reconstruction for offroad autonomous vehicle”, Virtual Prototyping of Autonomy-Enabled Ground Systems (VIPR-GS).

  • “EFRC: Artificially Intelligent Manufacturing Paradigm for Composites (AIM for Composites),” Office of Science, DOE.
  • “An Inverse Design Methodology to Fabricate Low-Cost Agile Tools for Manufacturing Lightweight Automotive Components,” DOE.

  • “Redox Cycles of Novel High-Entropy Perovskite Oxides for Clean Fuel Production through Solar Thermochemical Water and Carbon Dioxide Splitting”, DOE.

  • “Collaborative Research: SAI-R: Integrative Cyberinfrastructure for Enhancing and Accelerating Online Abuse Research”, NSF.

  • “MTM2: Drivers of functional redundancy across microbiomes”, NSF.

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