John Krumm

John Krumm is a researcher affiliated with Microsoft in the United States. Their work spans fields primarily in computer science and social sciences, contributing to various subfields including transportation, signal processing, electrical and electronic engineering, artificial intelligence, and geography, planning and development.

The research topics explored by John Krumm cover a range of areas related to human mobility and data management, focusing on both theoretical and applied aspects. The main themes in their work include:

• Human Mobility and Location-Based Analysis
• Data Management and Algorithms
• Vehicular Ad Hoc Networks (VANETs)
• Privacy-Preserving Technologies in Data
• Geographic Information Systems Studies
• Humor Studies and Applications
• Mobile Crowdsensing and Crowdsourcing

John Krumm has contributed to multiple research publications in well-known venues. The prominent venues include:

• arXiv (Cornell University)
• SIGSPATIAL Special
• ACM Transactions on Spatial Algorithms and Systems
• 2022 23rd IEEE International Conference on Mobile Data Management (MDM)
• Zenodo (CERN European Organization for Nuclear Research)

Their recent papers showcase the range of topics and venues where they have published. Notable recent works include:

• "Far Out: Predicting Long-Term Human Mobility," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
• "Crowdphysics: Planned and Opportunistic Crowdsourcing for Physical Tasks," 2021, Proceedings of the International AAAI Conference on Web and Social Media
• "Mobility Data Science: Perspectives and Challenges," 2024, ACM Transactions on Spatial Algorithms and Systems
• "$DeepMotions$: A Deep Learning System for Path Prediction Using Similar Motions," 2020, IEEE Access
• "Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling," 2020, arXiv (Cornell University)

Collaboration is an evident aspect of John Krumm's research, indicated by frequent co-authors across multiple publications. These co-authors include:

• Cyrus Shahabi
• Andreas Züfle
• Gabriel Ghinita
• Nabil Hossain
• Henry Kautz

The breadth of John Krumm's work reflects intersecting disciplines whereby computational methods are applied to social and spatial phenomena. Their publication record indicates active engagement in advancing understanding in areas related to mobility, spatial data, and crowdsourcing modalities.