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):
- Complete the free registration at the SenSys registration page.
- 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.
- After joining the Slack workspace, locate our workshop’s channel #w07-aichallengeiot.
- 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.
- 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: wangshiq@us.ibm.com
Enjoy!
Workshop Program (Monday, November 16, 2020)
The times below are shown in the In case the times are incorrectly displayed in your browser, you may visit our static webpage.
:
Arrival
Join our Gather.Town space for informal chats (link is provided in the Slack channel)
- Shiqiang Wang (IBM T. J. Watson Research Center, USA)
- Poonam Yadav (University of York, UK)
- Jorge Ortiz (Rutgers University, USA)
Technical Session 1
Session chair: Poonam Yadav (University of York, UK)
:
MetaDigit: Towards A Practical Digits Input System with Few User Effort
Shicong Hong, Zhihong Xiao, Zishuo Guo, Yongpan Zou, Kaishun Wu (Shenzhen University)
:
A Low footprint Automatic Speech Recognition System For Resource Constrained Edge Devices
Swarnava Dey, Jeet Dutta (TCS Research and Innovation, Tata Consultancy Services Ltd.)
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Incremental On-Device Tiny Machine Learning
Simone Disabato, Manuel Roveri (Politecnico di Milano)
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Break
Technical Session 2
Session chair: Xiaofan (Fred) Jiang (Columbia University, USA)
:
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)
:
Towards Object Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression
Colin Samplawski, Jin Huang, Deepak Ganesan, Benjamin Marlin (UMass Amherst)
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Break
:
What is Next for the Efficient Machine Learning Revolution?
Keynote speech by Nic Lane (University of Cambridge and Samsung AI, UK)
:
Break
:
Panel Discussion: Sustainable AI at the edge — deploying systems that work today and tomorrow
Panelists:
- Hamed Haddadi (Imperial College London, UK)
- Prateek Jain (Microsoft Research, India)
- Santosh Kumar (University of Memphis, USA)
- Valerie Liptak (Amazon, USA)
- Pete Warden (Google, USA)
:
Best Paper Award Announcement
:
Break
Technical Session 3
Session chair: Shiqiang Wang (IBM T. J. Watson Research Center, USA)
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PAMS: Improving Privacy in Audio-Based Mobile Systems
Stephen Xia, Xiaofan Jiang (Columbia University)
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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)
:
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)
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Break
Technical Session 4
Session chair: Jorge Ortiz (Rutgers University, USA)
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Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions
Ravi Raju, Dibakar Gope, Urmish Thakker, Jesse Beu (Arm ML Research Lab)
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Deep Associated Elastic Tracker for Intelligent Traffic Intersections
Kaikai Liu (San Jose State University)
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Closing Remarks
Call for Papers
The call for papers (now closed) is available here
Related Workshops
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
- Shiqiang Wang (IBM T. J. Watson Research Center, USA)
- Poonam Yadav (University of York, UK)
- Jorge Ortiz (Rutgers University, USA)
Steering Committee
- Mani Srivastava (University of California, Los Angeles, USA)
- Ludmila (Lucy) Cherkasova (ARM Research, USA)
- Valerie Liptak (Amazon, USA)
- Vinesh Sukumar (Intel, USA)
Publicity Chair
- Shaswot Shresthamali (The University of Tokyo)
Program Committee
- Tarek Abdelzaher (University of Illinois at Urbana Champaign, USA)
- Bharathan Balaji (Amazon AI Lab, USA)
- Dong Chen (Florida International University, USA)
- Fatemeh Jalali (IBM Research, Australia)
- Xiaofan (Fred) Jiang (Columbia University, USA)
- Carlee Joe-Wong (Carnegie Mellon University, USA)
- Liangzhen Lai (Facebook, USA)
- Valerie Liptak (Amazon, USA)
- Manik Gupta (BITS Pilani, Hyderabad, India)
- Syed Shabih Hasan (Delos Labs, USA)
- Cecilia Mascolo (Cambridge University, UK)
- Akshay Nambi (Microsoft Research, India)
- Diana Popescu (Cambridge University, UK)
- Urmish Thakker (ARM, USA)
- Stylianos I. Venieris (Samsung AI Center Cambridge, UK)
- Lin Wang (Vrije Universiteit Amsterdam, Netherlands)
- Shuochao Yao (George Mason University, USA)
- Ashkan Yousefpour (Facebook, USA)
- Hazar Yueksel (IBM Research, USA)
- Cong Zhao (Imperial College London, UK)