The Cross Training on Data Analytic Experience in Agriculture (CODE-AG) project seeks to foster interdisciplinary collaboration to establish a regional model providing advanced training, coursework, and experiential learning in data science/AI applied to agriculture. Moreover, the project includes the integration of autonomous systems and geospatial data analytics that provide critical skills for this interdisciplinary program. 

• Role: Co-PI

• Institution: Texas A&M University-Corpus Christi, USA

• Period: 2023 - 2027

• Agency: U.S. Department of Agriculture - National Institute of Food and Agriculture (USDA-NIFA)

• Information: Link

• Role: Adviser

• Institution: Texas A&M University-Corpus Christi, USA

• Period: Spring 2019

• Agency: Texas Space Grant Consortium

Modular Robotic Suit as an exercise system for maintenance of muscle strength of astronauts during long-term space missions.

• Role: Collaborator (PI before moving to TAMU-CC)

• Institution: University of Nebraska at Omaha (UNO), USA

• Period: 2018 - 2022

• Agency: NASA EPSCoR

• Website: Link

Wearable Robotic Modules for Maintaining Functional Fitness Levels for Older Adults

• Role: Principal Investigator

• Institution: Texas A&M University-Corpus Christi, USA

• Period: Spring 2018 - Fall 2018

• Agency: TAMU-CC (Research Enhancement Funding Program)

• Role: Adviser 

• Institution: Texas A&M University-Corpus Christi (TAMU-CC), USA

• Period: Fall 2018

• Agency: TAMU-CC