You are a Ph.D. student working in the field of Internet of Things?

The Doctoral Consortium is your special session of the IoT conference where you can share your current research with peers and receive advice in a constructive  atmosphere. Furthermore, you can grow your research network and learn about hot topics and approaches in the field. You present and discuss  your early research with other PhD students and a panel of established  researchers in the area of the Internet of Things.

For the IoT 2021 Doctoral Consortium, we are seeking submissions of original  (unpublished) early research by PhD students on all topics related to  the design, development, applications, evaluations and adoption of the Internet of Things.

Possible topics include, but are not limited to:

  • APIs and Software Frameworks for IoT
  • IoT Edge and Cloud Architectures
  • Web of Things
  • AI and Machine Learning for the IoT
  • Sensing, perception, and semantic models
  • Energy Efficiency and Sustainability in the IoT
  • Real-world Applications, Deployments and Testbeds
  • Interacting with the IoT: agency and shared control
  • Security, Privacy and Trust in the IoT
  • Societal Impact of the IoT
  • Evaluation, Benchmarks and user studies

Important Dates

  • Submissions:  September 24, 2021
  • Notifications: October 11, 2021

Preparing and Submitting Your PhD proposal
Students interested in participating in the Doctoral Consortium should submit a 4 page max abstract (including references) using the ACM article template (when using the overleaf ACM template choose the sample-sigconf.tex file) via easychair-Doctoral Consortium track describing in English their research question/problem to solve, its position with respect to the state of the art, their research plans and methodology, and results achieved so far. The student should be the sole or at least the first author of their DC paper.

Accepted abstracts will be included in the adjunct conference proceedings  (unless opted out by the student), listed on DBLP and published via the  ACM Digital Library.

In the program, we plan to allocate for each student a separate time slot for a presentation and and corresponding oral  feedback by at least two senior faculty members or researchers and other participating student peers. The  presentation will be intimate to encourage interaction, with only the  session organizer, review panel, and other student DC presenters in  attendance. Students are encouraged to submit work at an early stage of  development to get the greatest benefit from the feedback from senior  researchers. Students are expected to attend all presentations in their  session.