==Nov 30==
09:00 - 09: 15 - Opening
09:15 - 10:15 - Keynote : Roy Want - Enabling the Internet of Things
10:15 - 10:45 - Coffee Break
10:45 - 12:30 - Tech Session 1 Envisaging New Mobile Applications
- On-The-Fly Curbside Parking Assignment
- Mobile Augmented Reality Guides in Cultural Heritage
- A Cross-Layer Coding for Scalable ECG streaming
- vTrack: Envisioning a Virtual Trackpad Interface through mm-level Sound Source Localization for Mobile Interaction
12:30 - 13:30 - Lunch
13:30 - 15:00 - Tech Session 2 Supporting the Mobile Ecosystem
- MARAM: Tool Support for Mobile App Review Management
- You Are What You Use: An Initial Study of Authenticating Mobile Users via Application Usage
- A robust reputation-based location-privacy recommender system using opportunistic networks
15:00 - 15:30 - Coffee Break
15:30 - 18:30 - Tutorial on Deep Learning Techniques for Mobile Computing Applications
Instructors:
Thomas Ploetz (Georgia Tech)
Guan Yu (Newcastle University)
Nic Lane (UCL and Bell Labs)
19:00 - 21:00 - Social Dinner
==Dec 1==
10:15 - 10:45 - Coffee Break
10:45 - 12:30 - Tech Session 3 Building Intelligent Mobile Systems
- Quantifying the Uncertainty of Next-Place Predictions
- A large-scale study in predictability of daily activities and places
- DXTK: Exploring Deep Learning on Mobile and Embedded Platforms with the DeepX Toolkit
12:30 - 14:30 - Lunch with Poster + Demo
- Task Offloading Engine for Heterogeneous Mobile Clouds (poster)
- ProtibaadiNext: A Low Cost Wearable System to Deal with Sexual Harassment in Bangladesh (poster)
- A Profiling System for Android Wear (poster)
- COIN-VASE: Code Injection Vulnerability Scanning Environment for HTML5-Based Android Apps (poster)
- Grouve: Spontaneous Proximal Group Formation with Ultrasonic Sound Waves (poster)
- Quantifying Environmental Noise Effects Using Heart Rate (poster)
- A Multi-Tier Web Service and Mobile Client for City Trip Recommendations (demo)
- Smartphone Sensing Framework (demo)
14:30 - 16:00 - Tech Session 4 : Understanding the Users
- Smartphone Usage Analysis Based on Actual-Use Survey
- Hybridizing Personal and Impersonal Models in Activity Recognition on Mobile Devices
- Ayumu: Efficient lifelogging with focused tasks
16:00 - 16:30 - Coffee Break
16:30 - 17:30 - Industrial Panel on Mobile and Wireless Sensing : Industry Perspective
17:30 - 17:45 - Closing
