[Announcements] [1 MONTH to DEADLINE] WiSense: International Workshop on Pervasive Wireless Sensing and Edge Computing (colocated with Percom 2024)

[Eyuphan Bulut]

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                          Call For Papers
          WiSense: International Workshop on Pervasive Wireless Sensing and
Edge Computing *
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https://ebulutvcu.github.io/WiSense24/

*co-located with IEEE Percom 2024, Biarritz, France, March 11-15, 2024.
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******** Scope ********

Device-free wireless sensing has recently attracted a great deal of
attention thanks to its non-intrusive and sensor-free nature. Contrary to
traditional sensor-based and wearable sensing, wireless sensing does not
need any sensors, but leverages the modifications induced on the wireless
channel by objects and people to infer information about their position and
movement within a physical environment. This leads to an unobtrusive system
that can be integrated with nowadays transmission technology. Moreover, if
operated, e.g., at sub-6GHz frequencies, wireless signals propagate through
walls, allowing sensing to be performed even in non-line-of sight (NLOS)
scenarios with a subsequent increase in the sensing coverage over
camera-based systems. Different types of wireless signals have been
employed for sensing including WiFi, RFID, mmWave, UWB, and acoustic
signals. As wireless signals bounce off of physical objects within the
environment such as static objects like walls or furniture, as well as any
humans in the environment, their characteristics (e.g., amplitude, phase)
change uniquely. This then provides an opportunity to sense the environment
and obtain contextual information (e.g., recognizing the motion) through a
fine-grained analysis of signal variations. Wireless sensing has been
considered in various applications including but not limited to
localization, human activity and gesture recognition, gait estimation, fall
detection, respiration monitoring and crowd counting.

Deploying the wireless sensing systems on edge devices is also important,
to reduce their costs and make them scalable. However, this comes with
several challenges due to the constrained resources (e.g., memory,
computation power, energy) of edge nodes. Accordingly, in this workshop we
also look for solutions that develop novel, lightweight and cost-efficient
techniques that can run at the network edge, providing means to train and
run machine learning models in an energy efficient manner, both according
to centralized and distributed training paradigms. We are also interested
in the characterization of energetic aspects on currently available edge
computing technology, including but not limited to empirical energy models.

******** Topics of Interest ********

The objective of this workshop is to bring together the research community
utilizing different types of wireless signals for sensing purposes, and the
community dealing with computing for embedded and energy efficient systems,
and have them benefit from each other's findings. The workshop will also
serve as a discussion platform about the standardization and industrial
implications of wireless sensing and edge computing, by also targeting
potential privacy issues. Toward these goals, the workshop will span topics
including, but not limited to:

- Human activity, gesture recognition, health, and emotion sensing
- User identification and authentication
- Occupancy monitoring and counting
- Localization and navigation via passive wireless sensing
- Privacy and security issues and their prevention
- Adversarial sensing and intrusion detection
- Optimized machine learning algorithms for wireless sensing systems
- Real-time wireless sensing at the network edge
- Learning techniques and architectures for edge computing systems
- Federated and distributed learning for energy constrained edge devices
- Implementation of machine and deep learning algorithms on embedded and
energy constrained devices
- Energy assessment and characterization of energy constrained edge devices
for both model training and inference
- Detection of anomalies into energy consumption patterns of edge devices
- Novel energy efficient implementations of signal processing techniques
for wireless sensing systems
- Applications of pervasive wireless sensing (agriculture, health, material
identification)
- Industrial developments and plug-n-play solutions


******** Organizers ********

Chairs
-Eyuphan Bulut, Virginia Commonwealth University (VCU), USA
-Mohammed Shahzad, North Carolina State University (NCSU), USA
-Michele Rossi, University of Padova, Italy

Edas chair:
-Jacopo Pegoraro, University of Padova, Italy

Technical Program Committee:
-Francesco Restuccia (Northeastern University, USA)
-Xuyu Wang (Florida International University, USA)
-Salil Kanhere (UNSW Sydney, Australia)
-Jie Yang (Florida State University, USA)
-Yunze Zeng (Bosch Research, USA)
-Mahbub Hassan (The University of New South Wales, Australia)
-Parth Pathak (George Mason University, USA)
-Vivek Jain (Bosch Research, USA)
-Beibei Wang (Origin Wireless, USA)
-Steven M. Hernandez (Google Research, USA)
-Usman Mahmood Khan (Facebook, USA)
-Paolo Bellavista (University of Bologna, Italy)
-Paolo Dini (CTTC, Spain)
-Marcos Katz (University of Oulu, Finland)
-Xavier Vilajosana (Universitat Oberta de Catalunya)
-Giorgio Matteo Vitetta (University of Modena and Reggio Emilia, Italy)
-Deniz Gunduz (Imperial College London, UK)
-Sofie Pollin (KU Leuven, Belgium)
-Andrea Passarella (CNR-IIT, Italy)
-Jesus Omar Lacruz (Imdea Networks Institute)


******** Important Dates ********

Paper Submission: November 17, 2023
Author Notification: January 8, 2024
Camera Ready: February 2, 2024

******** Paper Submission ********

Manuscripts submitted for consideration should not have been already
published elsewhere and should not be under review or submitted for review
elsewhere during the consideration period. Manuscripts must be written in
English, are limited to 6 pages, single spacing, double column, and must
strictly adhere to the IEEE template format available here. All accepted
papers will be included and indexed in the IEEE Digital Library (IEEE
Xplore), showing their affiliation with IEEE Percom. At least one author of
each accepted paper is required to attend and present his/her work at the
workshop. Papers must be submitted electronically through EDAS at
https://edas.info/N31326.

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