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"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Wed, 23 Nov 2016 11:46:35 +0100
Utku Günay Acer <[log in to unmask]>
[log in to unmask], "Bhattacharya, Sourav (Nokia - IE)" <[log in to unmask]>, "Kawsar, Fahim (Nokia - BE)" <[log in to unmask]>, Mi Zhang <[log in to unmask]>
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Utku Günay Acer <[log in to unmask]>
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Our apologies if you receive multiple copies of this call.


The 8th International Conference on Mobile Computing, Applications and
Services (MobiCASE 2016)

November 30 - December 1, 2016, Cambridge, United Kingdom


The International Conference on Mobile Computing, Applications, and
Services, is a confluence between academia and industry on mobile
applications and services research.

Now in its eighth edition, MobiCASE has become a leading scientific forum
for the dissemination of cutting-edge research results in the area of
Mobile Computing, Applications, and Services.

As in previous years, MobiCASE 2016 is scheduled to include high-quality
paper presentation sessions revealing the latest in mobile computing
research, to demo industry's most exciting mobile applications and
services, and to engage participants in hands-on
projects and tutorials.

Register at


2 Outstanding Keynote Speeches:

* Cecilia Mascolo, University of Cambridge
   Keynote Title: Mobile Sensing for Mobile Health and Well-Being:
Challenges and Applications

*  Roy Want, Google
   Keynote Title: Enabling the Internet of Things


Deep Learning Techniques for Mobile Computing Applications
Thomas Ploetz, Newcastle University and Nic Lane, Bell Labs

13 Top Quality Technical Papers:

*  Ayumu: Efficient lifelogging with focused tasks
Benjamin Stoddard, Kate O'Hanlon, Brian Lin, Ashwin Machanavajjhala and
Landon Cox (Duke University)

*  You Are What You Use: An Initial Study of Authenticating Mobile Users
via Application Usage
Jonathan Voris (New York Institute of Technology), Yingbo Song (Allure
Security Technology), Malek Ben Salem (Accenture Technology Labs),
Salvatore Stolfo (Allure Security Technology)

*  A robust reputation-based location-privacy recommender system using
opportunistic networks
Yuchen Zhao, Juan Ye and Tristan Henderson (University of St Andrews)

*  Hybridizing Personal and Impersonal Models in Activity Recognition on
Mobile Devices
Tong Yu, Yong Zhuang and Ole Mengshoel (Carnegie Mellon University), Osman
Yagan (Carnegie Mellon University & CyLab)

* Smartphone Usage Analysis Based on Actual-Use Survey
Takeshi Kamiyama (NTT DOCOMO, Inc.), Kenji Hisazumi (Kyushu University),
Hiroshi Inamura (Future University Hakodate), Teppei Konishi (NTT DOCOMO,
Inc.), Ken Ohta (NTT DOCOMO, Inc), Akira Fukuda (Kyushu University, Japan)

*  MARAM: Tool Support for Mobile App Review Management
Claudia Iacob (University of Portsmouth), S. Faily (Bournemouth
University), Rachel Harrison (Oxford Brookes University)

*  A Cross-Layer Coding for Scalable ECG streaming
Mohammed Alloulah, Mark Dawkins (Toumaz Group)

*  Mobile Augmented Reality Guides in Cultural Heritage
Panagiotis Galatis (Hellenic Open University), Damianos Gavalas and Vlasios
Kasapakis (University of the Aegean), Grammati Pantziou (Technological
Educational Institution of Athens & Computer Technology Institute and Press
Diophantus), Christos Zaroliagis (University of Patras)

*  On-The-Fly Curbside Parking Assignment
Abeer Hakeem, Narain Gehani, Reza Curtmola, Xiaoning Ding and Cristian
Borcea (New Jersey Institute of Technology)

*  Quantifying the Uncertainty of Next-Place Predictions
Paul Baumann (TU Dresden), Marc Langheinrich (University of Lugano (USI)),
Anind Dey (Carnegie Mellon University), Silvia Santini (TU Dresden)

*  A large-scale study in predictability of daily activities and places
Gordon Moon and Jihun Hamm (The Ohio State University)

*  vTrack: Envisioning a Virtual Trackpad Interface through mm-level Sound
Source Localization for Mobile Interaction
Seung Eun Chung and Injong Rhee (North Carolina State University)

*  DXTK: Exploring Deep Learning on Mobile and Embedded Platforms with the
DeepX Toolkit
Nicholas Lane (Bell Labs)

10 Exciting Demos and Posters

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