[hpc-announce] ACM/IEEE IPSN 2023: Call For Papers

[Stephen Xia]

Dear Colleagues,

Please accept our apologies if you receive multiple copies of this message.


*The ACM/IEEE International Conference on Information Processing in Sensor
Networks (IPSN)San Antonio, Texas USA, May 9-12, 2023*

*Call for Papers*
The ACM/IEEE International Conference on Information Processing in Sensor
Networks (IPSN) is the leading annual forum on research at the intersection
of networked embedded sensing, control, and systems design. Now in its 22nd
year, IPSN has been at the forefront of the development of today’s "smart"
systems. IPSN brings together researchers from academia, industry, and
government to present and discuss recent advances in both theoretical and
experimental research on all aspects of networked systems of sensors and
actuators. Its scope includes signal and image processing, information and
coding theory, databases and information management, distributed
algorithms, networks and protocols, wireless communications, collaborative
objects, the Internet of Things (IoT), machine learning, mobile and social
sensing, and embedded systems design. Of special interest are contributions
at the confluence of multiple of these areas.

IPSN 2023 is part of the CPS-IoT Week, the premier venue for research and
development of cyber-physical systems. IPSN is co-sponsored by both the ACM
and IEEE, and it continues to emphasize research that bridges multiple
research communities. IPSN is interested in all aspects of sensor networks,
ranging from traditional topics such as networking to more recent
developments such as embedded machine learning, RF sensing and computer
vision.

Topics of interest include, but are not limited to:

* Systems, Architectures, and Tools
   * Sensor data storage, retrieval, processing
   * Network and system architectures and protocols
   * IoT gateway platform architecture and services
   * Programming models, languages, and systems
   * Programming models for IoT ensembles
   * Modeling, simulation, and measurement tools
   * Operating systems and runtime environments
   * Discovery, coordination, and use of IoT services
   * IoT reliability, adaptability, and dependability
   * Technical assessment of emerging IoT standards
* Algorithms, Data, and Theory
   * Localization, synchronization, RFID, and RF sensing
   * VLC and visible light based sensing
   * Data related issues, such as methods, tools, and analysis
   * Coding, compression, and information theory
   * Theoretical foundations and fundamental bounds
* Applications
   * Applications in health, wellness & sustainability
   * Applications in smart cities and urban health
   * Experiences, challenges, comparisons of platforms
   * Sensor-enabled drone / autonomous vehicle platforms and algorithms
   * Outdoor, wide-area, or crowdsourced sensing systems
   * Wearable systems and data processing algorithms
   * Sensor data processing for augmented and virtual reality applications
* Security and Privacy
   * Security and privacy
   * Fairness, equity, and transparency issues in IoT and CPS
* Machine Learning
   * Machine learning, deep, federated and multimodal learning on sensor
data
   * New hardware and system design to enable machine learning on sensor
data
   * Computer vision/RF sensing/visible light based sensing for
resource-constrained and mobile platforms
   * Novel embedded machine learning algorithms

In addition to the established Best Paper Award, IPSN 2023 will provide a
Best Research Artifact Award to the authors who have contributed the
research artifact that is judged to be the most novel, easy to use, well
documented, and useful to advance research. Research artifacts, such as
code, data sets, and tools, are highly encouraged to be submitted or made
available simultaneously with paper submission.

IPSN 2023 accepts double-blind paper submissions which have not been
previously published. Posted technical reports (ArXiv or similar) do not
count as prior publication and do not violate the double-blind requirement.
Submitted manuscripts are up to 12 pages, inclusive of figures, tables, and
references, following the ACM primary article template (
https://www.acm.org/publications/proceedings-template). Papers are to be
submitted at https://ipsn2023.hotcrp.com/. During the review process, the
reviewers may anonymously communicate with the authors for clarifying
questions.

Selected outstanding papers (up to 10) may be fast-tracked as a special
section of ACM Transactions on Sensor Networks.

IPSN collaborates closely with the IoTDI conference (
https://conferences.computer.org/iotDI/2023/), given the proximity in
research themes (both related to IoT) and the co-location in CPS-IoT Week.
We provide submission guidelines (
https://ipsn.acm.org/joint_statement_IoTDI.html) to aid prospective authors
with the conference venue selection. In the meantime, we would like to make
explicit that double submission remains prohibited under ACM's policy
of Prior Publication and Simultaneous Submissions (
https://www.acm.org/publications/policies/simultaneous-submissions). To
foster a closer joint community, following the practice in recent years, we
would invite quality submissions to switch between IoTDI and IPSN, in case
we find fit and the authors agree.

*Key Dates*
Paper Abstract Registration: October 24, 2022 11:59:59pm AoE
Paper Submission Deadline: (Firm): October 31, 2022 11:59:59pm AoE
Acceptance Notification: January 20, 2023

*Technical Program Committee*
Akshay Gadre, University of Washington
Bo Wei, Lancaster University
Brano Kusy, CSIRO
Carlee Joe-Wong, Carnegie Mellon University
Chenren Xu, Peking University
Chris Xiaoxuan Lu, University of Edinburgh
Flora Salim, University of New South Wales
Gang Zhou, William & Mary
Guohao Lan, Delft University of Technology
Guoliang Xing, The Chinese University of Hong Kong
Jeremy Gummeson, University of Massachusetts, Amherst
Jie Gao, Rutgers University
Jie Xiong, University of Massachusetts, Amherst
Jie Liu, Harbin Institute of Technology
Jingxian Wang, Microsoft Research & National University of Singapore
Jorge Ortiz, Rutgers University
Kay Romer, TU, Graz
Longfei Shangguan, University of Pittsburgh
Maria Gorlatova (chair), Duke University
Meng Jin, Shanghai Jiao Tong University
Mi Zhang, The Ohio State University
Mun Choon Chan, National University of Singapore
Nikki Trigoni, University of Oxford
Olga Saukh, TU, Graz
Pat Pannuto, University of California, San Diego
Polly Huang, National Taiwan University
Rong Zheng, McMaster University
Rui Tan, Nanyang Technological University
Shahriar Nirjon, University of North Carolina at Chapel Hill
Shijia Pan, University of California, Merced
Stefanos Laskaridis, Samsung AI Center Cambridge
Tao Gu, Macquarie University
Tarek Abdelzaher, University of Illinois at Urbana Champaign
Tingjun Chen, Duke University
Wan Du, University of California, Merced
Weitao Xu, City University of Hong Kong
Wen Hu (Chair), University of New South Wales
Xiaojiang Chen, Northwest University
Yanyong Zhang, University of Science and Technology of China
Yingying (Jennifer) Chen, Rutgers University
Youngki Lee, Seoul National University
Yuan He, Tsinghua University
Yuanchao Shu, Microsoft Research

Thanks and Regards,
Stephen Xia
Jagmohan Chauhan
Chenren Xu
IPSN 2023 Publicity Chairs