November 18, 2024, Washington, D.C., USA

The 7th International Workshop on Physics Embedded AI Solutions in Mobile Computing

MobiCom 2024 Workshop


In the real-world mobile systems, it is difficult to require a significant amount of data to obtain accurate information through pure data-driven methods. The performance of data-driven methods relies on the quantity and ‘quality’ of data. They perform well when a sufficient amount of data is available, which is regarded as ideal conditions. However, in real-world systems, collecting data can be costly or impossible due to practical limitations. On the other hand, it is promising to utilize physical knowledge to alleviate these issues of data limitation. The physical knowledge includes domain knowledge from experts, heuristics from experiences, analytic models of the physical phenomena and etc. We aim to bring researchers that explore this direction together and search for systematic solutions across various applications.


The goal of the workshop is to explore the intersection between (and the combination of) data and physical knowledge. The workshop aims to bring together domain experts that explore the physical understanding of the data, practitioners that develop systems and the researchers in traditional data-driven domains. The workshop welcomes papers, which focuses on addressing these issues in different applications/domains as well as algorithmic and systematic approaches to applying physical knowledge. Therefore, we further seek to develop a community that systematically analyzes the data quality regarding inference and evaluates the improvements from physical knowledge. Preliminary and on-going work is welcomed.

Topics of Interests

Topics of interests include, but are not limited to:
  • - Innovations in learning algorithms that combine physical knowledge or models for sensor perception and understanding
  • - Experiences, challenges, analysis, and comparisons of sensor data in terms of its physical properties
  • - Sensor data processing to improve learning accuracy
  • - Machine learning and deep learning with physical knowledge on sensor data
  • - Mobile and pervasive systems that utilize physical knowledge to enhance data acquisition
  • - System services such as time and location estimation enhanced by additional physical knowledge
  • - Heterogeneous collaborative sensing based on physical rules
  • - Distributed sensing for cyber-physical systems
  • - Advanced machine learning algorithms and solutions for efficient sensing
The application areas include but not limited to:
  • - Human-centric sensing applications
  • - Environmental and structural monitoring
  • - Smart cities and urban health
  • - Health, wellness & medical
  • - Smart energy systems and intelligent transportation networks
  • - Large Language Model and its applications in mobile system

Authors must cite and relate their submissions to relevant prior publications of their own. If applicable, ethical approval for experiments with human subjects should be demonstrated as part of the submission.

Important Dates

Submission Deadline: July 12, 2024 (AoE) July 19, 2024 (AoE)

Notifications: August 15, 2024

Camera-ready: September 13, 2024

Workshop: November 18, 2024

Submission Guidelines

Submissions must be original, unpublished work, and not currently under consideration elsewhere. Submitted papers must be no longer than five (5) pages, including all figures, tables, followed by 1 page references. Submission should be single PDF file with all fonts embedded, in two-column 10pt ACM format. All submissions must be double-blind and authors must remove all references to their names and affiliations. Prospective authors are encouraged to use the same PDF formatting guidelines as the main conference. Authors of accepted papers are expected to present their work at the workshop. Accepted papers will be published in the MobiCom Workshop Proceedings, and available at the ACM Digital Library.

You may find these templates useful in complying with the above requirements. For Latex users, please use \documentclass[sigconf, 10pt, anonymous]{acmart}. But as an author, you bear the final responsibility to verify (manually or through the above online paper checker) that your submission is format-compliant.

Submission: Picasso 2024 HotCRP


Workshop Chairs

Wenbo Ding Tsinghua University

Zhengxiong Li University of Colorado Denver

Amir H. Alavi University of Pittsburgh

Advising Committee

Hae Young Noh Stanford University

Pei Zhang University of Michigan-Ann Arbor

Workshop TPC Chairs

Susu Xu Johns Hopkins University

Xinlei Chen Tsinghua University

Ishara Dharmasena Loughborough University

Technical Programm Committee

Susu Xu Johns Hopkins University

Di Jin Amazon Alexa AI

Zhengxiong Li University of Colorado Denver

Linqi Song City University of Hong Kong

Yongpan Zou Shenzhen University

Weitao Xu City University of Hongkong

Shijia Pan University of California Merced

Mostafa Mirshekari Stanford University

Shahab Bahrami The University of British Columbia

Marzieh Khakifirooz Tecnológico de Monterrey, Mexico

M. Hadi Amini Florida International University

Roozbeh Jafari Texas A&M University

Pan Hu Stanford University

Miadreza Shafie-khah University of Vaasa

Sicong Liu Xiamen University

Wenbo Ding Tsinghua University

Le Yang Xi’an Jiaotong University

Xinlei Chen Tsinghua University

Yi Ding The University of Texas at Dallas

Yu Yang Lehigh University

Guang Wang Florida State University

Ji Jia Inceptio Technology




The PICASSO 2024 workshop is part of Mobicom 2024.