Best Paper Award
Conference Program
Monday, November 11, 2019
7:45 – 8:30
Registration8:30 – 9:00
Opening
Welcome Remarks By:
Welcome Remarks By:
9:00 – 10:00
Keynote: Challenges and Progress on Advancing, Trusting, and Scaling AI
- By Dr. John R. Smith (IBM Fellow, IBM Research AI)
10:00 – 10:30
Break 10:30 – 12:10
Session I: Smartphone Sensing
Session Chair: Polly Huang (National Taiwan University, Taiwan)
12:10 – 13:30
13:30 – 15:10
Session II: Power
Session Chair: Koen Langendoen (TU Delft, The Netherlands)
15:10 – 15:40
Break 15:40 – 17:20
Session III: Deep Learning
Session Chair: Pei Zhang (Carnegie Mellon University, USA)
- MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing
- Moving Target Defense for Embedded Deep Visual Sensing against Adversarial Examples
- Neuro.ZERO: A Zero-Energy Neural Network Accelerator for Embedded Sensing and Inference Systems
- DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction
18:00 – late
Reception - Low Rotunda
Welcome Remarks By:
Welcome Remarks By:
Tuesday, November 12, 2019
8:30 - 10:10
Session IV: Communication
Session Chair: Wen Hu (UNSW and CSIRO, Australia)
10:10 – 10:30
Break10:30 – 12:10
Session V: Infrastructure Sensing
Session Chair: Marco Zimmerling (TU Dresden, Germany)
12:10 – 13:30
Lunch13:30 – 15:10
Session VI: Wearable Sensing
Session Chair: Rui Tan (Nanyang Technological University, Singapore)
- A Closer Look at Quality-Aware Runtime Assessment of Sensing Models in Multi-Device Environments
- HandSense: Capacitive coupling-based Dynamic, Micro Finger Gesture Recognition
- RFID Based Real-time Recognition of ongoing Gesture with Adversarial Learning
- U-Verse: A Miniaturized Platform for End-to-End Closed-Loop Implantable Internet of Medical Things Systems
15:10 – 15:40
Break15:40 – 17:20
Session VII: RFID and mmWave
Session Chair: Wan Du (UC Merced, USA)
18:00 – late
Conference Banquet + Award Session
Wednesday, November 13, 2019
8:00 – 8:30
Registration8:30 – 9:30
Joint SenSys/BuildSys Keynote: Enabling the SmartGrid with IoT Sensors and Edge-Cloud Analytics
- By Prof. Prabal Dutta (UC Berkeley)
9:30 – 10:30
Joint Poster/Demo One-Minute Madness10:30 – 11:50
Joint Poster/Demo Session in Lerner Hall, Room 55512:00 – 12:15
Best Poster/Demo Awards + Closing12:15 - 13:00
LunchBest Poster Award
Accepted Posters
- Poster Abstract: "Sensing" the IoT Network: Ethical Capture of Domestic IoT Network Traffic
- Poster Abstract: A Neural Networks based Caching Scheme for Mobile Edge Networks
- Poster Abstract: A Swarm of Crop Spraying Drones Solution for Optimising Safe Pesticide Usage in Arable Lands
- Poster Abstract: Anomaly Detection in Surface Mount Technology Process using Multi-modal Data
- Poster Abstract: Caching Scheme for Internet of Vehicles Using Parked Vehicles
Best Demo Award
Accepted Demos
- Demo Abstract: Acoustic Anomaly Detection System
- Demo Abstract: Adaptive AR Visual Output Security using Reinforcement Learning Trained Policies
- Demo Abstract: An Architecture for Edge Computing over Underutilized Gateways
- Demo Abstract: ARMove: A Smartphone Augmented Reality Exergaming System for Upper and Lower Extremities Stroke Rehabilitation
- Demo Abstract: BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices
- Demo Abstract: BIGHand - A Bilateral, Integrated, and Gamified Handgrip Stroke Rehabilitation System for Independent at-Home Exercise
- Demo Abstract: Detailed Recording and Emulation of Spatio-temporal Energy Environments with Shepherd
- Demo Abstract: E-Eye: mmWave Nonlinear Response for Hidden Electronic Device Recognition
- Demo Abstract: Edge-assisted Collaborative Image Recognition for Augmented Reality
- Demo Abstract: Enabling Battery-less Wearable Sensors via Intra-Body Power Transfer
- Demo Abstract: Privacy preserving Pregnancy Weight Gain Management
- Demo Abstract: Smartphone-based Driver License Testing
- Demo Abstract: Stardust: A Deep Learning Serving System in IoT
- Demo Abstract: Two-Phase Dissemination Scheme for CoAP-based Firmware-over-the-air Update of Wireless Sensor Networks