DI-CPS '22: The 2nd Workshop on Data-Driven and Intelligent Cyber-Physical Systems for Smart Cities (DI-CPS) Milan, Italy Milan, Italy, May 3-6, 2022 |
Conference website | https://di-cps22.github.io/ |
Submission link | https://easychair.org/conferences/?conf=dicps22 |
Abstract registration deadline | February 12, 2022 |
Submission deadline | February 12, 2022 |
In conjunction with the2022 CPS-IOT Week
After a successful DI-CPS workshop at CPS-IoT Week 2021, we are back with the second iteration of the workshop. This year, our focus is restricted to Data-Driven and Intelligent Cyber-Physical Systems for Smart Cities.
Smart cities are emerging as a priority for Cyber-Physical Systems (CPS) research and development across the world. Artificial Intelligence and Machine Learning algorithms have played a large part in automating and advancing city operations and aiding the development of CPS in cities. Increasingly, data-driven modeling and intelligent decision-making under uncertainty are forming the basis for advancing transportation, safety, connectivity, and health services. For example, advanced traffic solutions, improved public transportation systems, smart emergency response, energy modeling, and autonomous driving are some of the applications that have benefited from data-driven approaches to principled decision-making. Data is extremely valuable in determining human behavior both at the scale of the entire population as well as at the level of individual persons navigating the infrastructure landscape.
With the advent of the Internet of Things (IoT), sensor data is being generated at a pace and volume that is difficult to process and use for inference. With several data modalities in the picture, new opportunities and challenges arise in terms of data collection, validation, analysis, and inference. For example, these additional data enable the development of novel models of traffic behavior at different geographical locations and time points, as well as what factors are consequential human driving behavior. At the same time, there is a growing need for automated applications to be fair, secure, and resilient. Participants in the workshop will exchange ideas on these and allied topics, including data science and open-source data sets for smart cities, decision making for smart cities, design of intelligent systems in smart cities, and challenges in deployment, equity, and fairness in smart cities, as well as security and privacy in AI for cities.
The Workshop on Data-Driven and Intelligent Cyber-Physical Systems (DI-CPS) was started in 2021 in conjunction with CPS-IoT Week. After a successful workshop this year, we seek to continue the workshop at CPS-week next year, albeit with a specific focus on intelligent CPS for smart cities. The 2020 edition of DI-CPS received 10 submissions and had a total attendance of approximately 30. This year, we are also introducing the best paper award based on reviewer scores. Also, in addition to having experienced faculty members as part of the PC, we are nominating senior graduate students to the PC to provide them with experience in participating in program committees of academic events. Papers assigned to graduate students will have an extra reviewer chosen from the senior members of the PC. The workshop invites researchers and practitioners from academia, industry, and government to submit original research papers, papers describing lessons learned concept papers, or descriptions of software tools on the following categories:
- Approaches to modeling complex decision-making tasks in smart cities and tackling uncertainty.
- Challenges faced and lessons learned in deploying intelligent systems in smart cities in practice.
- Principled heuristics to design scalable decision-making in city-scale CPS.
- Anomaly detection in smart and connected communities.
- Trustworthy analytics and privacy control.
- Transportation CPS data with human-in-the-loop.
- Demos and tutorials on software tools, simulations, and experimental results concerning CPS with a human-in-the-loop in the context of smart cities.
- Software tools for integrative analysis of data-driven CPS from multiple modalities.
Submission Guidelines
We welcome long papers (8 pages), short papers (4 pages), and concept papers (2 pages) including appendices and references. Submissions must use the IEEE conference format. Only PDF or latex-zipped files will be accepted. There is no requirement to anonymize the submissions; Authors may choose to submit anonymously or not. Accepted papers will be published with IEEE and appear on IEEE Xplore; however, authors can choose to opt-out of formal proceedings. Each accepted paper must be presented by a registered author. Submissions not meeting these guidelines risk immediate rejection. For questions about these policies, please contact the chairs.
Important Dates
- Paper Submission Deadline: February 12, 2022 (23:59 Anywhere on Earth time)
- Notification of Acceptance/Rejection: February 28, 2022
- Camera-Ready Papers Due: (hard deadline): March 7, 2022
Committees
Program Chairs
- Ayan Mukhopadhyay (Vanderbilt University)
- Raphael Stern (University of Minnesota)
- Rahul Bhadani (The University of Arizona)
- Aron Laszka (University of Houston)
- Katie Driggs-Campbell (University of Illinois, Urbana Champaign)
Technical Program Committee
- Rahul Bhadani (The University of Arizona)
- Ayan Mukhopadhyay (Vanderbilt University)
- Raphael Stern (University of Minnesota)
- Katie Driggs-Campbell (University of Illinois, Urbana Champaign)
- Aron Laszka (University of Houston)
- Matthew Bunting (The University of Arizona)
- Daniel Work (Vanderbilt University)
- Jonathan Sprinkle (Vanderbilt University)
- Xiaoqian Gong (Arizona State University)
Publication
DI-CPS '22 proceedings will be published in IEEE.
Venue
The conference will be held in Milam, Italy.
Contact
All questions about submissions should be emailed to :
- ayan.mukhopadhyay@vanderbilt.edu
- rahulbhadani@email.arizona.edu