This page contains a non-exhaustive list of related resources. The list will be updated as we find more relevant resources.


Sensing: Localization
  1. Andrew M. Ladd, Kostas E. Bekris, Guillaume Marceau, Algis Rudys, Dan S. Wallach, Lydia E. Kavraki: Using wireless Ethernet for localization. IROS 2002: 402-408.
  2. Brian Ferris, Dieter Fox, Neil D. Lawrence: WiFi-SLAM Using Gaussian Process Latent Variable Models. IJCAI 2007: 2480-2485
  3. Joseph Huang, David Millman, Morgan Quigley, David Stavens, Sebastian Thrun, Alok Aggarwal: Efficient, generalized indoor WiFi GraphSLAM. ICRA 2011: 1038-1043
  4. Christos Laoudias, George Constantinou, Marios Constantinides, Silouanos Nicolaou, Demetrios Zeinalipour-Yazti, Christos G. Panayiotou: The Airplace Indoor Positioning Platform for Android Smartphones. MDM 2012.
Sensing: Activity recognition
  1. Frank Sposaro, Gary Tyson: iFall: An Android Application for Fall Monitoring and Response. IEEE EMBS 2009. [Google Play]
  2. Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell, Feng Zhao, Enabling Large-scale Human Activity Inference on Smartphones using Community Similarity Networks (CSN), UbiComp 2011.
  3. Robert LiKamWa, Yunxin Liu, Nic Lane, and Lin Zhong, MoodScope: Building a Mood Sensor from Smartphone Usage Patterns, MobiSys 2013.
Urban computing
  1. Jing Yuan, Yu Zheng, Xing Xie. Discovering regions of different functions in a city using human mobility and POIs, KDD 2012.
  2. Philip Salesses, Katja Schechtner, and César A. Hidalgo, The Collaborative Image of the City: Mapping the Inequality of Urban Perception, PLoS ONE 8(7): e68400, 2013.
  3. Jing Yuan, Yu Zheng, et al., T-Drive: Driving Directions Based on Taxi Trajectories, GIS 2010 (best paper runner up).
  4. Ling-Yin Wei, Yu Zheng, Wen-Chih Peng, Constructing Popular Routes from Uncertain Trajectories, KDD 2012.
  5. Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen: A taxi business intelligence system, KDD 2011 (demo).
  1. Santosh Kumar, Wendy Nilsen, Misha Pavel, Mani Srivastava, Revolutionizing Healthcare Through Transdisciplinary Research, IEEE Computer, 2013.
  2. MN Burns, M Begale,J Duffecy, D Gergle, CJ Karr, E Giangrande, DC Mohr, Harnessing Context Sensing to Develop a Mobile Intervention for Depression, JMIR 2013.
  3. W Wu, S Dasgupta, EE Ramirez, C Peterson, CJ Norman, Classification Accuracies of Physical Activities Using Smartphone Motion Sensors, JMIR 2013.
  4. D Donaire-Gonzalez, A de Nazelle, E Seto, M Mendez MJ Nieuwnhuijsen M Jerrett, Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and ActiGraph, JMIR 2013.
  5. C Freifeld, R Chunara, SR Mekaru, EH Chan, T Kass-Hout, AA Iacucci, JS Brownstein, Participatory Epidemiology: Use of Mobile Phones for Community-Based Health Reporting, PloS Medicine. 2010.
Context & location
  1. Richard A. Becker, Ramon Caceres, Karrie Hanson, Sibren Isaacman, Ji Meng Loh, Margaret Martonosi, James Rowland, Simon Urbanek, Alexander Varshavsky, Chris Volinsky: Human mobility characterization from cellular network data, CACM 56(1): 74-82 (2013).
  2. Adam Sadilek and John Krumm: Far Out: Predicting Long-Term Human Mobility, AAAI 2012.
  3. N. Eagle and A. Pentland: Eigenbehaviors: Identifying structure in routine. Behavioral Ecology & Sociobiology 63(7), 2009:1057-1066.
  4. Anastasios Noulas, Salvatore Scellato, Neal Lathia, Cecilia Mascolo: Mining User Mobility Features for Next Place Prediction in Location-Based Services. ICDM 2012: 1038-1043.
  5. Tengjiao Wang, Bishan Yang, Jun Gao, Dongqing Yang, Shiwei Tang, Haoyu Wu, Kedong Liu, Jian Pei: MobileMiner: A real world case study of data mining in mobile communication. SIGMOD 2009: 1083-1086 (demo)
  6. Adam Sadilek, Henry A. Kautz, Jeffrey P. Bigham: Finding your friends and following them to where you are. WSDM 2012:723-732 (best paper)
  7. Adam Sadilek, Henry Kautz, Jeffrey P. Bigham: Modeling The Interplay of People’s Location, Interactions, and Social Ties. IJCAI 2013.
  1. Long T. Le, Tina Eliassi-Rad, Foster Provost, Lauren Moores: Hyperlocal: Inferring Loca)tion of IP Addresses in Real-time Bid Requests for Mobile Ads, ACM SIGSPATIAL LBSN, 2013.
  2. M. Balakrishnan, I. Mohomed, and V. Ramasubramanian. Where’s that phone? Geolocating IP addresses on 3G networks. IMC 2009.
  3. A. Metwally and M. Paduano. Estimating the number of users behind IP addresses for combating abusive traffic. KDD 2011.
  4. B. Wong, I. Stoyanov, and E. G. Sirer. Octant: A comprehensive framework for the geolocalization of internet hosts. NSDI 2007.
  5. Y. Wang, D. Burgener, M. Flores, A. Kuzmanovic, and C. Huang. Towards street-level client-independent IP geolocation. NSDI 2011.
  1. H. Zhu, E. Chen, K. Yu, H. Cao, H. Xiong, J. Tian, Mining Personal Context-Aware Preferences for Mobile Users, ICDM 2012.
  2. C. Liu, H. Xiong, Y. Ge, W. Geng, Matt Perkins: A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces, ICDM 2012.