Data-Driven and Intelligent Cyber-Physical Systems for Smart Cities (DI-CPS) 2022


May 2022
Online/Virtual


Queries:
ayan.mukhopadhyay@vanderbilt.edu
rahulbhadani@email.arizona.edu

The 2nd Workshop on Data-Driven and Intelligent Cyber-Physical Systems for Smart Cities (DI-CPS)

In conjunction with the
2022 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.

Background

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 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 a 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:

Submission Guidelines

To be announced soon.

Important Dates

To be announced soon.

Program Chairs

Technical Program Committee

Steering Committee

Web Chair