My lab has been and is conducting cutting-edge research on integrated precision management/applications of digital technologies, data analytics, automation, or models for modern poultry and livestock production systems. My cooperation interests include but are not limited to poultry smart sensing and environmental control, applied artificial intelligence, robotics, automated animal welfare assessment, digital phenotyping, three-dimensional reconstruction, and automatic behavior monitoring and analytics.

The University of Georgia (UGA) sits in the Georgia State of the United States, with number one broiler production, number seven egg production, and number seven dairy milk production among all US states. The PI has access to the UGA Poultry Research Center, containing 10 poultry experimental houses ranging in capacity for battery-cage and floor-pen studies. The research center also has automated processing equipment capable of processing up to 750 birds per day. Similarly, the research farm has a hatchery with a 9,500-egg capacity and a fully equipped feed mill to prepare experimental diets and large-scale feed. In addition to the research farm, the Department of Poultry Science has ~16,500 ft2 of laboratory space, with appropriate equipment, BSL2-approved laboratories, and infrastructure. The UGA has the Institute for Artificial Intelligence, Institute for Integrative Precision Agriculture, and Institute for Bioinformatics that can accommodate precision agriculture research. The PI also has access to the Georgia Advanced Computing Resource Center (GACRC). The GACRC equipment is located in UGA's Boyd Data Center (BDC). The GACRC has a fulltime staff of six Systems Administrators and Scientific Computing Consultants, specializing in Linux/UNIX system administration, storage administration, and scientific computing consultation. Two Linux clusters are available with a total core count of approximately 10,000 compute cores. In addition to conventional compute nodes, each cluster has several large memory and GPU-specific nodes. High-performance storage for the Linux clusters is provided for users' home directories and temporary scratch space. Slower storage resources are available for long-term project needs.