Bringing resilience and sustainability to our food and agricultural systems
Laboratory for Biological Modeling Analysis and Systems Simulation
Through transdisciplinary research and problem solving, optimization, analysis, stakeholder engagement, and education we seek to ensure that systems operate reliably and efficiently, with minimal wastage, while minimizing costs for the benefit for our societies.
Optimal Farm Management
Managing windows of opportunity for optimal distributed farm management
Food Wastes to Energy
A circular bioeconomy is affordable especially in urban regions
Transdisciplinary Solutions for Disaster Resilience
Grand challenge scale problems need new approaches
Chatbot Development
Designing a chatbot for long-distance relationships
Responding to Disasters
Analyzing response to disaster should inform preparedness strategies
Machine Learning Food Waste Patterns
An underutilized resource can be both profitable and beneficial
Disaster Resilience
Provision of reliable and resilient supply of food energy and water can be achieved even in disaster prone regions. Our team has a long standing relationship with several communities in Puerto Rico where we seek to co-design integrated solutions for urban agriculture, water reclamation and reuse, renewable power, and ecosystem restoration.
Post disaster image from early infrastructural assessment efforts
Optimal pathway for Midwestern grain harvesting decisions
Digital Agriculture
During the harvesting season, grain farmers must allocate limited labor and capital towards multiple tasks despite uncertain tradeoffs among spatially distributed fields. We seek to optimize machinery transportation, in-field operations, grain hauling, and grain allocation decisions to help streamline decision-making in large Midwestern corn-soybean production systems.
Social Computing
Social computing focuses on the intersection of computational systems and social behavior. The growth of social media, online support groups, and crowdsourcing platforms highlight how technology connects people. Within this field, researchers interpret, analyze, and monitor online interactions, relationships, communities, and information to build and design new technologies.
Process map of chatbot two-phase study