I’m a PhD student in Professor Sayanti Mukherjee’s OASIS Lab in Industrial and Systems Engineering at the University at Buffalo. I work on natural hazards and risk, mainly disaster resilience, power outage risk, and wildfire prediction.
Before Buffalo, I did my master’s research in the Systems Realization Laboratory at the University of Oklahoma with Professor Janet K. Allen and Professor Farrokh Mistree. In rural areas, people often have to make decisions with partial information, unreliable infrastructure, and many social factors at play, and standard control systems don’t handle that well. In my thesis, I proposed the Context-Aware Cognitive Control System (CACCS) under Thrust 5 of the Smart Services for Sustainable Societies initiative. CACCS is a satisficing architecture for cyber-physical-social systems: it looks for decisions that are good enough for real needs instead of optimal ones, and it learns and adapts over time. The work builds on the Verification and Validation Square proposed by Mistree et al. It also uses Gero’s Function-Behavior-Structure ontology (1990) to model requirements, the Dilemma Triangle Method to study tensions such as local knowledge against limited resources, Peter Senge’s systems archetypes (1990) such as “Limits to Growth” and “Shifting the Burden,” and symbolic AI and fuzzy logic to encode stakeholder expectations and soft constraints that change over time. In the framework, decision rules are updated based on social feedback and resource availability, and generative AI helps simulate policies while people keep the final say. The goal was to make decisions in rural, resource-limited settings easier to understand, teach, and justify.
