I’m very proud to have been awarded, with my co-authors, a 5-year prominent paper award from the AI Journal for the paper, Learning and Inferring Transportation Routines. Here is the text of their award:
This paper introduces a hierarchical Markov model that can learn and infer a user’s daily movements through an urban community, and applies it in an application that helps cognitively-impaired people use public transportation safely. The paper takes a realistic and important problem, and solves it by developing technically sophisticated, state-of-the-art AI techniques, that have applicability well beyond the domain described in the paper. This work has had a significant impact on the area of modeling and learning with dynamic Bayesian networks, both in and outside of AI. As such, the award committee unanimously believes the paper is a worthy winner of the inaugural AIJ Prominent Paper Award. ( citation )