Ph.D. Forum

IPSN 2019 - the 18th ACM/IEEE Int. Conference on Information Processing in Sensor Networks (co-located with CPS-IoT WEEK 2019) - will host a Ph.D. Forum on networked sensing and control. The Forum will offer:

  • a constructive environment for doctoral students to discuss their ongoing work towards the Ph.D. with a panel of experienced researchers in the field;
  • an opportunity for the participants to initiate a personal network with both other Ph.D. students and leading research experts, outside of the own group.

The Forum will be structured as a series of short presentations by the students, followed by individual discussions and feedback. The panelists will also offer their experience and advice on how to carry out a successful Ph.D. and start a career as a researcher. In addition, the participants are also expected to present a poster during the main conference in order to increase the visibility of their ongoing work and gather further feedback from CPS-IoT WEEK attendees.

Current Ph.D. students in the middle stages of their career are encouraged to submit a 2-page extended abstract about their dissertation research in sensor networking. While the Forum is a venue to present ongoing (rather than completed) work, in this abstract, the Ph.D. thesis statement should be clearly identified with the specific problem addressed, the contribution expected to the field, the results achieved so far, and the work planned ahead. The abstract shall also include a one-paragraph bio of the student, along with information on how long he/she has been in the Ph.D. program, the expected timeline towards graduation, and the name of the supervisor(s). The student should be the sole author, although contributions of others, e.g., the advisor, should be acknowledged.

Submissions will be reviewed by the Ph.D. Forum committee to ensure quality, relevance, and potential benefit from attendance to the Forum. Authors of accepted submissions are expected to participate in person to the Forum. There will be no separate registration fee for the Forum.

For any question, please contact the Ph.D. Forum chairs: Matteo Ceriotti (matteo.ceriotti AT uni-due.de) and Hamed Yousefi (hyousefi AT umich.edu).



Submission Guidelines

  • Submissions must be received no later than February 15, 2019. Topic scope is the same as that listed in the IPSN call for papers.
  • Submissions must be in PDF format, be written in English, of no more than two pages in length (all inclusive), and adhere to the IPSN formatting guidelines.
  • The abstract should include the author's name, affiliation, and email address.


Key Dates

Submission: February 15, 2019 11:59pm AoE
Notification of Acceptance: February 22, 2019


Submission

Extended abstracts may be submitted through this weblink.

Organizers

Chairs: Matteo Ceriotti, University of Duisburg-Essen, Germany
Hamed Yousefi, University of Michigan, USA
Panel: Anthony Rowe (Carnegie Mellon University, USA)
Olga Saukh (TU Graz, Austria)
Ambuj Varshney (Uppsala University, Sweden)
Fahim Kawsar (Nokia Bell Labs, United Kingdom)

Ph.D. Forum accepted abstracts

1
Vibrational Biometrics-based Key Generation System for Body Area Network
Qi Lin (University of New South Wales)
2
Towards Privacy-Preserving Sensor Data Sharing with On-Device Applications
Mohammad Malekzadeh (Queen Mary University of London)
3
Local Differential Privacy for Big IoT Data
Fatima Zahra Errounda (Concordia University)
4
Secure Communication Protocol for Smart Transportation based on Vehicular Cloud
Trupil Limbasiya (BITS Pilani, Goa Campus, India)
5
Parameter-Aware Energy Models for Embedded-System Components
Daniel Friesel (Universität Osnabrück)
6
Wearable IoT Devices for Health Monitoring
Ganapati Bhat (Arizona State University)
7
Towards Millimeter Wave Sensing for Smart Applications
Zhicheng Yang (University of California, Davis)
8
Interactive and Incremental Machine Learning Approaches for Heterogeneous Sensor 
	Data Fusion
Agnes Tegen (Malmö University)
9
Physics-guided Information Acquisition and Learning with Constrained Sensing Capability
	in Urban Infrastructure Systems
Susu Xu (Carnegie Mellon University)