Oct. 12-13, 2025, Espoo, Finland

The 8th International Workshop on Physics Embedded AI Solutions in Mobile Computing

Workshop at UbiComp/ISWC 2025

ABOUT THE 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.

CALL FOR PAPER

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: June 30, 2025

Notifications: July 15, 2025

Camera-ready: July 30, 2025

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 the ACM SIGCHI Master Article template and will be reviewed by at least two workshop technical committee members or organizers. 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 ACM Digital Library as part of the UbiComp/ISWC 2025 Adjunct Proceedings.

Submission: https://picasso25.hotcrp.com

ORGANIZERS

Workshop Chairs

Julio Sahuquillo Universitat Politècnica de València

Fan Dang Beijing Jiaotong University

Jingao Xu Carnegie Mellon University

Advising Committee

Yunhao Liu Tsinghua University

Pei Zhang University of Michigan-Ann Arbor

Workshop TPC Chairs

Miloš Stojmenović Singidunum University

Pengfei Zhou University of Pittsburgh

Technical Programm Committee

Susu Xu Johns Hopkins University

Lingkun Li Beijing Jiaotong University

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

PROGRAM

October 12, 2025

Time Item
09:00–09:25Keynote Talk (25 min)
09:25–09:40#79 — LoRadar: Capturing and Detecting Satellite-Ground LoRa Signals in the Wild
09:40–09:55#93 — Event-IR: Microsecond-Level UAV Landing via Triggered Event Vision and Pulsed Infrared Marker
09:55–10:10#16 — A Flexible Smart Insole Enabling Real-Time Gait Visualization and Phase Recognition
10:10–10:25Coffee Break (15 min)
10:25–10:40#22 — TCM-Align: Curriculum-Aligned MCQ Generation for Traditional Chinese Medicine
10:40–10:55#61 — Enhanced RF-Based Localization for Mobile Targets
10:55–11:10#44 — Parametric Model of Differential SAW Pressure Sensor: Enabling Rapid Performance Evaluation and Optimization Design
11:10–11:25#77 — Tracing-KalmanNet: Deep Kalman Filtering for Nonlinear and Intermittent Inertial Data
11:25–11:40#94 — Beyond One-Size-Fits-All: Fine-Grained Age Group Identification on Smartphones for Targeted Child Protection
11:40–11:55#39 — AISE: Adaptive Importance Sampling Events for Low Power Eye Tracking
11:55–12:10#46 — A Convolutional Block Attention Module and Multi-band Fusion Network for Embedded AR-SSVEP BCI Systems
12:10–12:25#70 — Evaluating Large Language Models in Traditional Chinese Medicine with Enhanced Misinformation Detection

THE VENUE

The PICASSO 2025 workshop is part of UbiComp/ISWC 2025.