Department of Computer Science and Technology

Course pages 2017–18

Advanced Topics in Mobile and Sensor Systems and Data Modelling

Lecture Material

1st November 2017 (1h): Introduction.

8th November 2017: Mobile Operating Systems, Resource and Energy Usage.

  • Eduardo Cuervo, Aruna Balasubramanian, Dae-ki Cho, Alec Wolman, Stefan Saroiu, Ranveer Chandra, Paramvir Bahl. MAUI: Making Smartphones Last Longer with Code Offload. In ACM MobiSys 2010, Association for Computing Machinery, Inc., June 15, 2010. PDF.
  • Robert LiKamWa, Lin Zhong. Starfish: Efficient Concurrency Support for Computer Vision. ACM Conf. on Mobile Systems, Applications, and Services (MobiSys) 2015. PDF.
  • Lide Zhang, Birjodh Tiwana, Zhiyun Qian, Zhaoguang Wang, Robert P. Dick, Zhuoqing Morley Mao, and Lei Yang. 2010. Accurate online power estimation and automatic battery behavior based power model generation for smartphones. In Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis (CODES/ISSS10). PDF.

15th November 2017: Mobile Sensing, Behaviour Modelling and Machine Learning on Mobiles.

  • Ensembles of Deep LSTM Learners for Activity Recognition using Wearables Y Guan, T Ploetz PACM IMWUT 1 (2). PDF.
  • Samuli Hemminki, Petteri Nurmi, and Sasu Tarkoma. 2013. Accelerometer-based transportation mode detection on smartphones. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys '13). ACM, New York, NY, USA, PDF.
  • Nicholas D. Lane, Petko Georgiev, Lorena Qendro, "DeepEar: Robust Smartphone Audio Sensing in Unconstrained Acoustic Environments using Deep Learning", 17th International Conference on Ubiquitous Computing (UbiComp15), September 2015. PDF.

22nd November 2017: Mobile Health.

  • Mashfiqui Rabbi, Shahid Ali, Tanzeem Choudhury, and Ethan Berke. Passive and In-situ Assessment of Mental and Physical Well-being using Mobile Sensors. To appear in the Proceedings of Ubicomp 2011, September 2011. Beijing, China. PDF.
  • Mingmin Zhao, Fadel Adib, and Dina Katabi. 2016. Emotion recognition using wireless signals. In Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking (MobiCom '16). ACM, New York, NY, USA, 95-108. PDF.
  • Edward Wang, William Li, Doug Hawkins, Terry Gernsheimer, Colette Norby-Slycord, Shwetak Patel. HemaApp: Noninvasive Blood Screening of Hemoglobin Using Smartphone Cameras. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2016, PDF.

29th November 2017: Drones and Autonomous Control.

  • Endri Bregu, Nicola Casamassima, Daniel Cantoni, Luca Mottola, and Kamin Whitehouse. 2016. Reactive Control of Autonomous Drones. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys'16). ACM, New York, NY, USA, 207-219. PDF.
  • Sebastian Thrun, Mike Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip Fong, John Gale, Morgan Halpenny, Gabriel Hoffmann, Kenny Lau, Celia Oakley, Mark Palatucci, Vaughan Pratt, Pascal Stang et al. Stanley: The Robot that Won the DARPA Grand Challenge. Journal of Field Robotics 23(9), 661-692 (2006). PDF.
  • PR Wurman, R D'Andrea, M Mountz. Coordinating hundreds of cooperative, autonomous vehicles in warehouses. AI magazine 29 (1), 9. PDF.

22nd January 2018: Cellular Detail Record Analytics.

  • F. Simini, M.C. Gonzalez, Maritan A., A.-L. Barabasi. A universal model for mobility and migration patterns. Nature, volume 484, (2012). PDF. Supplementary Material.
  • Eagle, Nathan, Alex Sandy Pentland, and David Lazer. Inferring friendship network structure by using mobile phone data. Proceedings of the National Academy of Sciences 106, no. 36 (2009): 15274-15278. PDF. Supplementary Material.
  • Isaacman, S., Becker, R., Caceres, R., Kobourov, S., Martonosi, M., Rowland, J. and Varshavsky, A., 2011, June. Identifying important places in people's lives from cellular network data. In International Conference on Pervasive Computing (pp. 133-151). Springer, Berlin, Heidelberg. PDF

29 Janunary 2018: Mobility Modelling, Human Sensing and Crowdsourcing.

  • Steele, J.E., Sundsoy, P.R., Pezzulo, C., Alegana, V.A., Bird, T.J., Blumenstock, J., Bjelland, J., Engo-Monsen, K., de Montjoye, Y.A., Iqbal, A.M. and Hadiuzzaman, K.N., 2017. Mapping poverty using mobile phone and satellite data. Journal of The Royal Society Interface, 14(127). PDF.
  • Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma. Mining Interesting Locations and Travel Sequences From GPS Trajectories, in Proceedings of International conference on World Wide Web (WWW 2009). PDF.
  • Raghu K. Ganti, Nam Pham, Hossein Ahmadi, Saurabh Nangia, and Tarek F. Abdelzaher. 2010. GreenGPS: a participatory sensing fuel-efficient maps application. In Proceedings of the 8th international conference on Mobile systems, applications, and services (MobiSys '10). ACM, New York, NY, USA, 151-164. PDF.

5th February (3h): Geo-Social Media Sensing and Urban Data Analytics.

  • Justin Cranshaw, Raz Schwartz, Jason I. Hong and Norman Sadeh. The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City. Proceedings of ICWSM12. PDF.
  • Santi, Paolo, et al. "Quantifying the benefits of vehicle pooling with shareability networks." Proceedings of the National Academy of Sciences 111.37 (2014): 13290-13294. PDF. Supplementary Material.
  • John Krumm and Eric Horvitz. 2015. Eyewitness: identifying local events via space-time signals in twitter feeds. In Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '15). PDF.
  • Eunjoon Cho, Seth A. Myers, and Jure Leskovec. 2011. Friendship and mobility: user movement in location-based social networks. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '11). ACM, New York, NY, USA. PDF.