The Doctoral Colloquium of SenSys 2017 seeks to provide a friendly, supportive, and constructive environment where PhD students can present their research in progress for an open discussion guided by a panel of experienced researchers. The Doctoral Colloquium will be structured as a series of short presentations by the students followed by individual discussions, feedback, and advice. Students with the most inspiring topics will also be invited to present a poster during the main conference to leverage further interaction with SenSys attendees.

Current PhD students in the early stages of their career are encouraged to submit a 2-pages research summary describing the work in progress and including a 100-word abstract. Things to consider for inclusion in the research summary might be: the expected contribution to the field; the original idea or thesis statement; the problem domain and the specific problem addressed; a brief overview of related work; the methodological approach; research carried out and results so far. The abstract shall also include a one-paragraph biography of the student, including the names and affiliations of the research advisor(s), and expected date of dissertation submission. The student should be the sole author, although contributions of the advisor and others should be acknowledged.

The Doctoral Colloquium committee will review submissions to ensure quality, relevance, and potential benefit from attendance. Authors of accepted submissions are expected to participate in person to the Doctoral Colloquium. There will be no separate registration fee for the Doctoral Colloquium.


Sunday, November 5, 2017

9:00 - 9:45
9:45 - 10:00
Welcome and Opening
10:00 - 12:00

"BuildSys" Session

  • 10:00 - SkyView: Mapping buildings using crowdsourced location data
  • 10:30 - Software Defined VLC Networks with Distributed and Dense Transmitters: System analysis and Implementation
  • 11:00 - Structure as Sensors: Learning Indoor Human Information from Physical Vibrations
  • 11:30 - Towards a universal Human Activity Recognition interface for Active and Assisted Living Environments
12:00 - 13:00
Workshop on scientific writing
13:00 - 14:00
14:00 - 15:00
Workshop on scientific presentation
15:00 - 17:00

"SenSys" Session

  • 15:00 - Management of IEEE 802.11ah networks: providing guarantees for CoAP-based interactions
  • 15:30 - Adaptive Protocol Parameters for Wireless Sensor Networks using Machine Learning
  • 16:00 - Energy efficient traffic-aware station grouping for low-power dense wireless networks
  • 16:30 - Collaborative Bluetooth Smart Mesh for improving Communications in Industry 4.0
17:00 - 17:15


Research summaries will be reviewed by the chairs and panel members. If the work is accepted, a student may be expected to make clarifications and improvements to the research summary by the camera-ready deadline. Submissions must be received no later than September 29th via web submission form.

Submissions must be in PDF format, be written in English, of no more than two pages in length (all inclusive), and adhere to the Sensys formatting styles found here.

The abstract should include the author’s name, affiliation, and email address.

Important Dates

  • Submission Deadline: September 29, 2017 AOE
  • Notification of Acceptance: October 6, 2017
  • Camera-Ready: October 16, 2017
  • Colloquium: November 5, 2017


  • Doctoral Colloquium Panelists:
    Hae Young Noh (Carnegie Mellon University, USA)
    Kamin Whitehouse (University of Virginia, USA)
    Koen Langendoen (Delft University of Technology, The Netherlands)
    Rasit Eskicioglu (University of Manitoba, Canada)

  • Doctoral Colloquium Co-Chairs:
    Marco Cattani (Graz University of Technology, Austria)
    Xiaofan (Fred) Jiang (Columbia University, USA)

  • Program Committee:
    Xiaofan (Fred) Jiang (Columbia University, USA)
    Marco Cattani (Graz University of Technology, Austria)
    Marco Zuniga (Delft University of Technology, The Netherlands)
    Carlo Alberto Boano (Graz University of Technology, Austria)
    Przemyslaw (Przemek) Pawelczak (Delft University of Technology, The Netherlands)