Monday, November 14, 2016

9:00 – 9:30
9:30 – 10:30

Be aware … Connect with Care (Part 1)

  • AoT: Authentication and Access Control for the Entire IoT Device Life-Cycle
    Antonio Lemos Maia Neto (UFMG), Artur Luis Fernandes (UFMG), Ítalo Cunha (UFMG), Michele Nogueira (UFPR), Ivan Oliveira Nunes (UFMG), Leonardo Cotta (UFMG), Nicolas Gentille (LG Electronics), Antonio A. F. Loureiro (UFMG), Diego F. Aranha (Unicamp), Harsh Kupwade Patil (LG Mobile Research), Leonardo B. Oliveira (UFMG)
  • Robust, low-cost, auditable random number generation for embedded system security
    Ben Lampert (Stanford University), Riad Wahby (Stanford University), Shane Leonard (Stanford University), Philip Levis (Stanford University)
10:30 – 11:00
11:00 – 12:00

Be aware … Connect with Care (Part 2)

  • Secret from Muscle: Enabling Secure Paring with Electromyography
    Lin Yang (Hong Kong University of Science and Technology), Wei Wang (Hong Kong University of Science and Technology), Qiang Zhang (Hong Kong University of Science and Technology)
  • From Physical to Cyber: Escalating Protection for Personalized Auto Insurance
    xinyu xing (Penn State University), Le Guan (Penn State University), Jun Xu (Penn State University), Shuai Wang (Penn State University), Peng Liu (Penn State University), Heqing Huang (Penn State University), Lin Lin (Penn State University), Wenke Lee (Georgia Tech)
12:00 – 1:30
1:30 – 3:00

Hacking the MAC

  • Staffetta: Smart Duty-Cycling for Opportunistic Data Collection
    Marco Cattani (Delft University of Technology), Andreas Loukas (unaffiliated), Marco Zimmerling (TU Dresden), Marco Zuniga (Delft University of Technology), Koen Langendoen (Delft University of Technology)
  • Effectively Capturing Attention Using the Capture Effect
    Michael König (ETH Zürich), Roger Wattenhofer (ETH Zürich)
  • Data Prediction + Synchronous Transmissions = Ultra-low Power Wireless Sensor Networks
    Timofei Istomin (University of Trento, Italy), Amy L. Murphy (Bruno Kessler Foundation, Italy), Gian Pietro Picco (University of Trento, Italy), Usman Raza (Toshiba Research Europe Limited, UK)
3:00 – 3:30
3:30 – 4:30

Let's get Physical (Part 1)

  • Empirical Validation of Commodity Spectrum Monitoring
    Ana Nika (UCSB), Zhijing Li (UCSB), Yanzi Zhu (UCSB), Yibo Zhu (UCSB), Ben Y. Zhao (UCSB), Xia Zhou (Dartmouth College), Haitao Zheng (UCSB)
  • Battery-Free Identification Token for Touch Sensing Devices
    Phuc Nguyen (University of Colorado, Denver), Ufuk Muncuk (Northeastern University), Ashwin Ashok (Carnegie Mellon University), Kaushik R Chowdhury (Northeastern University), Marco Gruteser (Rutgers University), Tam Vu (University of Colorado, Denver)
4:30 – 5:30
Poster and Demo fast-forward session
5:30 – 7:30

Tuesday, November 15, 2016

9:00 - 10:30

Mobile Sensing Applications

  • Nutrilyzer: A Mobile System for Characterizing Liquid Food with Photoacoustic Effect
    Tauhidur Rahman (Cornell University), Alexander T Adams (Cornell University), Perry Schein (Cornell University), Aadhar Jain (Cornell University), David Erickson (Cornell University), Tanzeem Choudhury (Cornell University)
  • SurePoint: Exploiting Ultra Wideband Flooding and Diversity to Provide Robust, Scalable, High-Fidelity Indoor Localization
    Benjamin Kempke (University of Michigan), Pat Pannuto (University of Michigan), Bradford Campbell (University of Michigan), Prabal Dutta (University of Michigan)
  • Tackling the Redundancy and Sparsity in Crowd Sensing Applications
    Chuishi Meng (SUNY Buffalo, Buffalo, NY USA), Houping Xiao (SUNY Buffalo, Buffalo, NY USA), Lu Su (SUNY Buffalo, Buffalo, NY USA), Yun Cheng (Air Scientific, Beijing, China)
10:30 – 11:00
11:00 – 12:00

Going Deep

  • Deep Learning for RFID-Based Activity Recognition
    Xinyu Li (Rutgers University), Yanyi Zhang (Rutgers University), Ivan marsic (Rutgers University), Aleksandra Sarcevic (Drexel University), Randall S. Burd (Children's National Medical Center)
  • Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables
    Sourav Bhattacharya (Nokia Bell Labs), Nicholas D. Lane (UCL and Nokia Bell Labs)
12:00 – 1:30
1:30 – 2:30

Wearables: Better ways to Brush, Smoke and Sleep (Part 1)

  • Monoxalyze: Verifying Smoking Cessation with a Keychain-sized Carbon Monoxide Breathalyzer
    Joshua Adkins (unaffiliated), Prabal Dutta (University of Michigan)
  • Tooth Brushing Monitoring using Wrist Watch
    Hua Huang (Stony Brook University), Shan Lin (Stony Brook University)
2:30 – 3:00
3:00 – 4:00

Wearables: Better ways to Brush, Smoke and Sleep (Part 2)

  • Amulet: An Energy-Efficient, Multi-Application Wearable Platform
    Josiah Hester (Clemson University), Travis Peters (Dartmouth College), Tianlong Yun (Dartmouth College), Ronald Peterson (Dartmouth College), Joseph Skinner (Dartmouth College), Bhargav Golla (Clemson University), Kevin Storer (Clemson University), Steven Hearndon (Clemson University), Kevin Freeman (Clemson University), Sarah Lord (Dartmouth College), Ryan Halter (Dartmouth College), David Kotz (Dartmouth College), Jacob Sorber (Clemson University)
  • A Lightweight And Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring
    Anh Nguyen (University of Colorado Denver), Raghda Alqurashi (University of Colorado Denver), Zohreh Raghebi (University of Colorado Denver), Farnoush Banaei-kashani (University of Colorado Denver), Ann C. Halbower (University of Colorado School of Medicine), Tam Vu (University of Colorado Denver)
4:00 – 5:00
SenSys business meeting
5:00 -
Catch buses to Computer History Museum
5:30 – 9:00
Dinner @ Computer History Museum
9:00, 9:30, 10:00
Transport back to Stanford

Wednesday, November 16, 2016

9:00 – 10:00
10:00– 10:30
10:30 – 12:00

Let's get Physical (Part 2)

  • B^2W^2: n-Way Concurrent Communication for IoT Devices
    Zicheng Chi (University of Maryland), Yan Li (University of Maryland), Hongyu Sun (University of Maryland), Yao Yao (University of Maryland), Zheng Lu (University of Maryland), Ting Zhu (University of Maryland)
  • HitchHike: Practical Backscatter Using Commodity WiFi
    Pengyu Zhang (Stanford), Dinesh Bharadia (MIT), Kiran Joshi (Stanford), Sachin Katti (Stanford)
  • SNOW: Sensor Network over White Spaces
    Abusayeed Saifullah (Missouri University of Science and Technology), Mahbubur Rahman (Missouri University of Science and Technology), Dali Ismail (Missouri University of Science and Technology), Chenyang Lu (Washington University in St Louis), Ranveer Chandra (Microsoft Research), Jie Liu (Microsoft Research)
Program Ends