Final Program


  • 9:9:30 Opening Remarks
  • 9:30-10:30 Keynote Presentation: Leandros Tassiulas, Yale University, “Collaborative information caching at the network edge”
    • Chair: Shiwen Mao
  • 10:30-11 Break
  • 11-12:30 S1: Machine Learning
  • 12:30-1:30 Lunch
  • 1:30-3 S2: Security
  • 3-3:30 Break
  • 3:30-5:30 S3: Human-Centered Computing


  • 9-10:30 S4: Sensing
  • 10:30-11 Break
  • 11-12:30 S5: Localization
  • 12:30-1:30 Lunch
  • 1:30-2:30 Panel: “Mobile edge computing: hype or reality?”
    • Panelists: Shivendra Panwar, New York University; Dario Pompili, Rutgers University; Prof. Wenjing Lou, Virginia Tech University; Dr. Rittwik Jana, AT&T Labs Research.
    • Moderator: Cristian Borcea, New Jersey Institute of Technology.
  • 2:30-4 S6: Data Mining
  • 4-4:30 Break
  • 4:30-6 S7: Privacy
  • 6:30-9 Dinner and Best Paper Award


  • 9-10:30 S8: Systems
  • 10:30-11 Break
  • 11-12:30 S9: Passive Localization and Tracking
  • 12:30-1:30 Lunch
  • 1:30-3 S10: Energy
  • 3-3:30 Break
  • 3:30-5 S11: Networking
  • 5-5:30 Concluding Remarks
  1. Machine Learning (Session Chair: Shiwen Mao, Auburn University, USA)
  • Automated Dynamic Electrocardiogram Noise Reduction Using Multilayer LSTM Network
  • Dynamic Price Prediction in Ride-on-demand Service with Multi-source Urban Data
  • Leveraging Smart-Phone Cameras and Image Processing Techniques to Classify Mosquito Species
  • Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics
  1. Security (Session Chair: Henning Schulzrinne, Columbia University, USA)
  • Antilizer: Run Time Self-Healing Security for Wireless Sensor Networks
  • Leveraging ARM TrustZone and Verifiable Computing to Provide Auditable Mobile Functions
  • Securing Highly-Sensitive Information in Smart Mobile Devices through Difficult-to-Mimic and Single-Time Usage Analytics
  • Wi-Sign: Device-free Second Factor User Authentication
  1. Human Centered Computing (Session Chair: Jian Zhang, Auburn University, USA)
  • ArmIn: Explore the Feasibility of Designing a  Text-entry Application Using EMG Signals
  • RFHUI: An Intuitive and Easy-to-Operate Human-UAV Interaction System for Controlling a UAV in a 3D Space
  • Tour Guides Get Guided: Intelligent Coordination of Simultaneous Tours in Exhibition Environments
  • ProMETheus: An Intelligent Mobile Voice Meeting Minutes System
  • Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables
  1. Sensing (Session Chair: Shiwen Mao, Auburn University, USA)
  • Continuous Identification in Smart Environments Using Wrist-Worn Inertial Sensors
  • CardioFi: Enabling  Heart Rate Monitoring on Unmodified COTS WiFi devices
  • Duity: A Low-cost and Pervasive Finger-count Based Hand Gesture Recognition System for Low-literate and Novice Users
  • Phascope: Fine-grained, Fast, Flexible Motion Profiling based on Phase Offset in Acoustic OFDM Signal
  1. Localization (Session Chair: Anand Seetharam, SUNY Binghamton)
  • EvaLoc: Evaluating Performance Degradation in Wireless Fingerprint-based Indoor Localization
  • Direct-path based fingerprint extraction algorithm for indoor localization
  • Hapi: A Robust Pseudo-3D Calibration-Free WiFi-based Indoor Localization System
  • BFound: Sensor Enhanced Localization for Internet of Things
  1. Data Mining (Session Chair: Pratool Barthi, University of South Florida, USA)
  • Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life
  • Joint Mobility Pattern Mining with Urban Region Partitions
  • Mining Pattern Similarity for Mobility Prediction in Location-based Social Networks
  • NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields
  1. Privacy (Session Chair: Cristian Borcea, New Jersey Institute of Technology, USA)
  • GazeRevealer: Inferring Password Using Smartphone Front Camera
  • Toward privacy in IoT mobile devices for activity recognition
  • ReSPonSe: Real-time, Secure, and Privacy-aware Video Redaction System
  • SpeedyChain: A framework for decoupling data from blockchain for smart cities
  1. Systems (Session Chair: Damith Ranasinghe, University of Adelaide, Australia)
  • Live Migration of Virtual Machines and Containers over Wide Area Networks with Distributed Mobility Management
  • Polyglot CerberOS: Resource Security, Interoperability and Multi-Tenancy for IoT Services on a Multilingual Platform (IoT)
  • Resilience of Stateful IoT Applications in a Dynamic Fog Environment
  • Benchmark Data for Mobile App Traffic Research
  1. Passive Localization and Tracking (Session Chair: Cristian Borcea, New Jersey Institute of Technology, USA)
  • Beyond the RSSI value in BLE-based passive indoor localization: let data speak
  • Experiences & Challenges with Server-Side WiFi Indoor Localization Using Existing Infrastructure
  • Predicting Human Count through Environmental Sensing in Closed Indoor Settings
  • bTracked: Highly Accurate Field Deployable Real-Time Indoor Spatial Tracking for Human Behavior Observations
  1. Energy (Session Chair: Jian Zhang, Auburn University, USA)
  • Adaptive Video Content Manipulation for OLED Display Power Management
  • In-vivo and offline optimisation of energy use in the presence of small energy signals — A case study on a popular Android library
  • MLStar: Machine Learning in Energy Profile Estimation of Android Apps
  • Task assignment for Eco-friendly Mobile Crowdsensing
  1. Networking (Session Chair: Henning Schulzrinne, Columbia University, USA)
  • A machine learning approach for dynamic control of RTS/CTS in WLANs
  • Smartphone Applications Testbed Using Virtual Reality
  • Queueing Network Modeling Patterns for Reliable and Unreliable Publish/Subscribe Protocols
  • Trackr: Reliable UI Element Tracking for Application Refactoring based Mobilization of Enterprise Web Application