Team Leader
Karun Kaniyamattam
Texas A&M University
Animal Science
karun.kaniyamattam@ag.tamu.edu
Project Type
Research
Who Can Join
Staff/Postdoctoral Scholars, Graduate Students, Masters Students, Undergraduate Students
Project Description
AgriLife and Animal Science’s Aggie Collaborate Research program is designed to empower undergraduate students as the next generation of innovators and thinkers, preparing them for successful careers and meaningful contributions to artificial intelligence driven business insights for food production. Through this program, students will gain invaluable training in essential areas such as coding, scientific writing, data analysis, and AI model development.
For the 2025 Fall semester, students will explore innovative approaches for sustainable beef, dairy, and pork production, by applying agent-based modeling (ABM), business economics, and data-driven technologies such as Machine Learning (ML), agentic AI, LLM techniques. Special onus will put on visualizing sustainable animal protein production processes which will be applied for (a) swine production systems, (b); dairy business analytics (c) Cornell/Cattle Value Discovery System (CVDS).
Aggie researchers will be led by a group of Veterinary epidemiologists, animal scientists, business managers, data scientists, and artificial intelligence researchers. Different sub-teams will share the learning outcomes on a weekly basis between the teams, thereby ensuring collaborative learning and team-based sustainability augmenting design thinking.
Team Needs
This project offers students valuable hands-on interdisciplinary research experiences. Participants will gain advanced skills in agent-based modeling (ABM), and data analysis, utilizing essential tools such as JAVA, NetLogo and Python. Students will also engage with cutting-edge livestock systems technologies, including machine learning, enhancing their technical proficiency. By contributing to sustainability research, students will tackle real-world challenges, improving their critical thinking and problem-solving abilities. They will enhance their presentation and communication skills through stakeholder engagement and have opportunities for publication or conference presentations. The project fosters teamwork skills, allowing students to explore potential career paths in academia, industry, or policy-making related to sustainable agriculture.
Special Opportunities
This opportunity is available to doctoral, masters, and undergraduates studying Data Science, Information Systems, Animal Science, Veterinary Science, Public Health, Business Analytics, Multidisciplinary Engineering, and related fields. Ideal mentees should be enthusiastic and interested in livestock systems, decision modeling, machine learning, agent-based modeling, artificial intelligence (AI), Python programming, stakeholder.