pyUPPAAL: A Python Package for Risk Analysis of CPS, Guangyao Chen, Linshu Yang, Haochen Yang, Peilin He, Zhihao Jiang (ShanghaiTech University, China)
Development of the OpenCyberCity Testbed: Smart City Research Innovation and Opportunities, Mostafa Zaman, Nathan Puryear (Virginia Commonwealth University); Nasibeh Zohrabi (Pennsylvania State University Brandywine); Sherif Abdelwahed (Virginia Commonwealth University)
Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Human-system Interaction, Heng Tan (Lehigh University); Yukun Yuan (University of Tennessee at Chattanooga); Shuxin Zhong (Rutgers University); Yu Yang (Lehigh University)
PIRAT - Tool for Automated Cyber-risk Assessment of PLC Components & Systems Deploying NVD CVE & MITRE ATT&CK Databases, Natalija Vlajic, Stefan Petrovic, Gabriele Cianfarani (York University)
Effects of Learning-Based Action-Space Attacks on Autonomous Driving Agents, Yuting Wu (Nanyang Technological University); Xin Lou (Singapore Institute of Technology); Pengfei Zhou (University of Pittsburgh); Rui Tan (Nanyang Technological University); Zbigniew Kalbarczyk, Ravishankar K. Iyer (University of Illinois at Urbana-Champaign)
FACSAT: Conception as a cyber-physical system for satellite observation of the Earth: Automated mission planning and scheduling, Javier E. Méndez G. (Colombian Air Force - Research Center in Aerospace Technologies); Albert M. K. Cheng (University of Houston); Santiago Muñoz (Colombian Air Force - Research Center in Aerospace Technologies)
An End-to-End Multi-Robot Framework for Weed Control in Agricultural Fields, Jahid Chowdhury Choton, Mithila Jugulam, Pavithra Prabhakar (Kansas State University)
Verification of L1 Adaptive Control using Verse Library: A Case Study of Quadrotors, Lin Song, Yangge Li, Sheng Cheng, Pan Zhao, Sayan Mitra, Naira Hovakimyan (University of Illinois Urbana-Champaign)
Demonstration of Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems, Ghazal Alinezhad Noghre, Vinit Katariya (University of North Carolina Charlotte); Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi (University of North Carolina at Charlotte)
Automated Labeling Function Generation using Distance Functions for Physiological Alarm Suppression, Sydney Pugh, Souradeep Dutta, Ramneet Kaur, Yahan Yang, Elena Bernardis, Insup Lee (University of Pennsylvania)
Optimizing RSU Placements for Securing Vehicle Platoon Against False Data Injection Attacks, Anik Roy, Ipsita Koley, Sunandan Adhikary, Soumyajit Dey (Indian Institute of Technology Kharagpur)
Parameter Estimation for Decoding Sensor Signals, Matthew Nice, Matthew Bunting, Gergely Zachar, Rahul Bhadani (Vanderbilt University); Paul Ngo (University of California, Berkeley); Jonathan Lee, Alexandre Bayen (University of California Berkeley); Dan Work, Jonathan Sprinkle (Vanderbilt University)
WiP Abstract: Edge-Based Privacy of Naturalistic Driving Data Collection, Matt Bunting, Matthew Nice, Dan Work, Jonathan Sprinkle (Vanderbilt University); Roman Golota (University of Arizona)
Automated Multimodal Performance Evaluation in Simulation-based Medical Education using Natural Language Processing, Prashish Paudel, Scott Pappada, Liang Cheng (University of Toledo)
Mobility-On-Demand Transportation: A System for Microtransit and Paratransit Operations, Michael Wilbur, Maxime Coursey, Pravesh Koirala, Zakariyya Al-Quran (Vanderbilt University); Philip Pugliese (Chattanooga Area Regional Transportation Authority); Abhishek Dubey (Vanderbilt University)
Automated Features and Requirements Identification for Improving CPS Software Reuse using Topic Modeling, Md Al Maruf, Akramul Azim (Ontario Tech University)
Incremental Learning with Memory Regressors for Motion Prediction in Autonomous Racing, Yahan Yang, Souradeep Dutta, Kuk Jin Jang, Oleg Sokolsky, Insup Lee (University of Pennsylvania)
Digital-twin Co-evolution using Continuous Validation, Joost Mertens, Joachim Denil (University of Antwerp)
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems, Ramneet Kaur (Student); kaustubh sridhar (University of Penssylvania); Sangdon Park (Georgia Institute of Technology); Yahan Yang (University of Pennsylvania); Susmit Jha, Anirban Roy (SRI International); Oleg Sokolsky, Insup Lee (University of Pennsylvania)
A Modular Platform For Collaborative, Distributed Sensor Fusion, R. Spencer Hallyburton, Nate Zelter, David Hunt, Kristen Angell, Miroslav Pajic (Duke University)
Adaptive CUSUM-Based Residue Analysis for Stealthy Attack Detection in Cyber-Physical Systems, Akash Bhattacharya, Sunandan Adhikary, Ipsita Koley, Anirban Majumder (Indian Institute of Technology Kharagpur); Soumyajit Dey (Department of Computer Science and Engineering, IIT Kharagpur)
iCareLoop: Closed-Loop Sensing and Intervention for Gerontological Social Isolation and Loneliness, Xiayan Ji, Ahhyun Yuh, Hyonyoung Choi, Amanda Watson, Claire Kendell, Xian Li (University of Pennsylvania); James Weimer (Vanderbilt University); Hajime Nagahara, Teruo Higashino, Teruhiro Mizumoto (Osaka University); Viktor Erdélyi (Graduate School of Information Science and Technology, Osaka University); George Demiris, Oleg Sokolsky, Insup Lee (University of Pennsylvania)
Guiding Federated Learning with Inferenced Formal Logic Properties, Ziyan An, Meiyi Ma (Vanderbilt University)
POSTER: A Cyber Physical Aquaponics System (CyPhA) Testbed, Anand Agrawal, Praneeta Maganti (BITS Pilani, Hyderabad Campus); Rajib Ranjan Maiti (BITS PILANI, Hyderabad Campus)
DEMO: Self-Preserving Genetic Algorithms vs. Safe Reinforcement Learning in Discrete Action Spaces, Preston K. Robinette (Vanderbilt University); Nathaniel P. Hamilton (Parallax Advanced Research); Taylor T. Johnson (Vanderbilt University)

ICCPS 2023 seeks high-quality technical abstracts, demos, and posters describing work-in-progress in the area of cyber-physical systems (CPS), including preliminary work on theory, platform design and implementation, verification and validation, empirical case studies, and other work that has the potential to advance the state of the art in CPS. Authors of each accepted abstract will give a brief presentation at the WiP session and may also give a demo and/or have a poster afterward.


ICCPS 2023 work-in-progress abstracts, demos, and posters should focus on the same areas as the main conference. Please refer to the main conference’s CFP link (https://iccps.acm.org/2023/call-for-paper/) for details. Both theory and application related works are encouraged.


All submitted abstracts must be in English and must be in a single PDF file with no more than two pages (including references). Authors shall use an ACM two-column conference style, using US Letter (8.5-inch x 11-inch) paper size (template). Submitted manuscripts will be evaluated based on technical merit and innovation as well as their potential to stimulate interesting discussions and exchanges of ideas at the conference. Both academic and industrial submissions are encouraged. All accepted abstracts will be published in the ICCPS 2023 proceedings.

Abstracts can be non-anonymized and must be submitted by Feb 8, 2023, AoE, via EasyChair: https://easychair.org/my/conference?conf=iccpswip2023


In addition to giving a brief presentation of the work, each accepted abstract will have the option of giving a demo or having a poster (or neither or both). The poster and demo session will provide a forum for researchers to showcase ongoing work and obtain feedback from the CPS community, in addition to the discussions at the WiP presentation session. Authors that wish to give a demo should clearly describe in their abstract what will be demonstrated and how the contributions will be illustrated interactively. If a demonstration requires wireless connectivity or other special arrangements (in addition to a table and power source, which will be provided for all demos), please describe them clearly in the abstract as well. Authors that wish to have a poster should also mention that in the abstract, along with a brief summary of what the poster will show.