Yahoo Japan Human Behavior Study

Projects | 2024 | Links:

Principal Investigator: Satish Ukkusuri, Purdue University
Co-Principal Investigator: None
Sponsor: LY Corporation (Yahoo Japan Corporation)
Duration: 01/2021-08/2024

Project Description:

This project focuses on mining web search and mobility data to understand and predict human behaviors.

Outcomes/Impacts:

7.1 Xue, Jiawei, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, and Satish Ukkusuri. “Multiwave COVID-19 prediction from social awareness using web search and mobility data.” The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.

7.2 Xue, Jiawei, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, and Satish Ukkusuri. “Predicting Individual Irregular Mobility via Web Search-Driven Bipartite Graph Neural Networks”. IEEE Transactions on Knowledge and Data Engineering (The second round review)

7.3 The Best Poster Award (1 out of 18), the First Research Summit of Urban Science, Beijing, August 5-6, 2023.

About

Dr. Satish V. Ukkusuri is a Professor in the Lyles School of Civil Engineering at Purdue University since July 2014 where he teaches courses in transportation systems and freight and logistics planning.

Dr. Ukkusuri is recognized nationally and internationally in the area of transportation network modeling and disaster management. He leads the Urban Mobility, Networks and Intelligence (UMNI) Lab at Purdue. His current areas of interest include: complex network modeling, coupled systems modeling, network resilience, big data analytics for transportation systems, dynamic traffic modeling, innovative signal control algorithms, connected vehicle environment, behavioral issues in natural hazards such as hurricanes, evacuation modeling, modeling transportation sustainability policies such as cap and trade, emissions pricing etc, sustainable freight logistics and safety modeling.

Templates (for web app):

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