Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT)

The 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2020) will be held in conjunction with ACM SenSys 2020 on November 16, 2020.

Registration: All workshop attendees (including paper authors) are required to register at the SenSys registration page. The registration is FREE.

Location: Virtual (online)

How to attend the workshop (detailed steps):

  1. Complete the free registration at the SenSys registration page.
  2. After registration, you will receive an email from the SenSys organizers with an invite to the SenSys/BuildSys Slack workspace, as described here. Please join this Slack workspace.
  3. After joining the Slack workspace, locate our workshop’s channel #w07-aichallengeiot.
  4. Zoom and Gather.Town links are provided in the channel topic/description. We will use Zoom for the main workshop program and Gather.Town for a unique experience of informal voice/video chats.
  5. During your attendance of the workshop, please stay on Slack and monitor the channel #w07-aichallengeiot. We will send any announcements into this channel. If you have a question related to this workshop, please also ask in this channel.

If you have trouble connecting to Slack, please contact the workshop chair:

Workshop Program (Monday, November 16, 2020)

NOTE: All times below are in Coordinated Universal Time (UTC). To convert to your local time zone, you may visit here.
Some examples:

12:30 - 13:00 (UTC time zone): Arrival
Join our Gather.Town space for informal chats (link is provided in the Slack channel)

13:00 - 13:10 (UTC time zone): Welcome & Opening Remarks

Technical Session 1
Session chair: Poonam Yadav (University of York, UK)

13:10 - 13:30 (UTC time zone): MetaDigit: Towards A Practical Digits Input System with Few User Effort
Shicong Hong, Zhihong Xiao, Zishuo Guo, Yongpan Zou, Kaishun Wu (Shenzhen University)

13:30 - 13:50 (UTC time zone): A Low footprint Automatic Speech Recognition System For Resource Constrained Edge Devices
Swarnava Dey, Jeet Dutta (TCS Research and Innovation, Tata Consultancy Services Ltd.)

13:50 - 14:10 (UTC time zone): Incremental On-Device Tiny Machine Learning
Simone Disabato, Manuel Roveri (Politecnico di Milano)

14:10 - 14:15 (UTC time zone): Break

Technical Session 2
Session chair: Xiaofan (Fred) Jiang (Columbia University, USA)

14:15 - 14:35 (UTC time zone): Position paper: A systematic framework for categorising IoT device fingerprinting mechanisms
Poonam Yadav, Angelo Feraudo (University of York); Budi Arief (University of Kent); Siamak F. Shahandashti, Vassilios G. Vassilakis (University of York)

14:35 - 14:55 (UTC time zone): Towards Object Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression
Colin Samplawski, Jin Huang, Deepak Ganesan, Benjamin Marlin (UMass Amherst)

14:55 - 15:00 (UTC time zone): Break

15:00 - 15:55 (UTC time zone): What is Next for the Efficient Machine Learning Revolution?
Keynote speech by Nic Lane (University of Cambridge and Samsung AI, UK)

15:55 - 16:00 (UTC time zone): Break

16:00 - 17:00 (UTC time zone): Panel Discussion: Sustainable AI at the edge — deploying systems that work today and tomorrow

17:00 - 17:05 (UTC time zone): Best Paper Award Announcement

17:05 - 17:25 (UTC time zone): Break

Technical Session 3
Session chair: Shiqiang Wang (IBM T. J. Watson Research Center, USA)

17:25 - 17:45 (UTC time zone): PAMS: Improving Privacy in Audio-Based Mobile Systems
Stephen Xia, Xiaofan Jiang (Columbia University)

17:45 - 18:05 (UTC time zone): Learning in the Wild: When, How, and What to Learn for On-Device Dataset Adaptation
Best paper award Seulki Lee, Shahriar Nirjon (University of North Carolina at Chapel Hill)

18:05 - 18:25 (UTC time zone): Pushing the Envelope of Dynamic Spatial Gating technologies
Xueqin Huang (Texas A & M University); Urmish Thakker (University of Wisconsin Madison); Dibakar Gope, Jesse Beu (Arm ML Research Lab)

18:25 - 18:30 (UTC time zone): Break

Technical Session 4
Session chair: Jorge Ortiz (Rutgers University, USA)

18:30 - 18:50 (UTC time zone): Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions
Ravi Raju, Dibakar Gope, Urmish Thakker, Jesse Beu (Arm ML Research Lab)

18:50 - 19:10 (UTC time zone): Deep Associated Elastic Tracker for Intelligent Traffic Intersections
Kaikai Liu (San Jose State University)

19:10 - 19:20 (UTC time zone): Closing Remarks

Call for Papers

The call for papers (now closed) is available here

AIChallengeIoT partners with SenSys-ML. Both workshops share similar focus areas. Starting in 2020, SenSys-ML is with CPS-IoT Week while AIChallengeIoT remains with SenSys.

Workshop History


Organizing Committee

Program Chairs
Steering Committee
Publicity Chair
Program Committee