Neel Chanchad

Researcher

University of Arkansas

Graduate Student Researcher

2 pubs

Research Areas

OverviewAI-generated summary

Neel Chanchad's research focuses on developing algorithms for complex logistical problems, particularly those involving uncertainty and disruption. Their work includes the development of a consensus-based algorithm designed to solve the Stochastic Canadian Traveler Problem. This problem involves navigating routes with unpredictable conditions, such as those encountered during disaster response scenarios. Chanchad has collaborated with Ashlea Bennett Milburn at the University of Arkansas at Fayetteville on shared publications. Their recent publications address navigating uncertainty in disaster response and the application of consensus-based algorithms to solve the Stochastic Canadian Traveler Problem.

Metrics

Publications: 2

Selected Publications

Navigating uncertain and disrupted road conditions in a disaster response: A consensus-based algorithm for solving the Stochastic Canadian Traveler Problem (2026)

Computers & Industrial Engineering DOI OpenAlex
Navigating Uncertainty: A Consensus-Based Algorithm for Solving the Stochastic Canadian Traveler Problem (2023)

SSRN Electronic Journal DOI OpenAlex