|2nd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2019) Tuesday, November 5, 2019 Chicago, Illinois, USA|
The advancements in sensor technology and ubiquity of connected devices have enabled the generation of large volumes of disparate, dynamic and geographically-distributed data by both scientific communities and citizens. The socio-technological innovations motivate the concept of smart and connected cities. A smart city is forward-looking and progressive and has the potential to provide a higher-quality of life. A resilient city can preserve its characteristics, activities and bounce back to its previous stage in the face of an emergency while meeting the daily needs of its citizens.
The discussions about making cities intelligent and resilient are occurring on two parallel planes. The challenge is to plan and design intelligent cities under the framework of resilience so that online and real-time knowledge discovery from dynamic data streams could be used in conjunction with static data sets to help practitioners and researchers with their policy decisions. While current developments in data science and artificial intelligence have enabled real-time analytics of online and static data sets, the issue of modeling urban designs to ensure that an intelligent city is also resilient needs to be well understood to maximize the benefits of connected technologies. Research should also focus on developing real-time analytics to allow edge computing to occur at the source of data to reduce latency with decision-making and enhance resiliency. Visualization techniques also need to be developed to allow public participation not only in data collection, but also in analytics and decision-making efforts to reduce error and uncertainties. The advantages of using high performance and cloud computing, augmented and virtual reality need to be understood to help with modeling urban areas that are both intelligent and resilient.
Given the increasing focus on both intelligent and resilient cities, this 2nd International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2019) is timely. The purpose of this workshop is to bring together researchers, practitioners and academics to address the challenges of integrating computation, geospatial and urban sciences in building intelligent and resilient cities. This workshop will provide to discuss research areas and issues in modeling urban design by considering sensor technology, edge computing, visualization, modeling and simulation, advanced data analytics. With a focus on edge computing, knowledge discovery, artificial intelligence, and real-time analytics, this workshop fits the general theme of ACM SIGSPATIAL.
Examples of topics for workshop papers include but not limited to:
- Analytics to integrate heterogenous spatio-temporal data for prediction, detection of anomalies and unusual patterns
- Real-time analytics of dynamic and distributed data
- Edge and distributed computing to mine information from ubiquitous data about cyber-physical systems
- Human dynamics in the Age of Smart/Intelligent Systems
- Spatial social network analytics in the built environment
- Theoretical and practical applications of Internet of Things in urban settings
- Visualizing urban areas and optimal locations of sensors for urban resilience
- Urban mobility data management and visualization
- Using augmented reality, simulations and 3D-geovisualization for urban planning and to enhance stakeholder experience through collective intelligence
- Case studies of successful deployment of smart and resilient cities
- Policies and theoretical framework needed for successful deployment of intelligent and resilient cities
- Existing state-of-the-art and future directions to integrating social and cyber-physical systems to achieve both smart and resilient cities
Call for Papers
This 2nd International workshop on Advances in Resilient and Intelligent Cities is designed to be a one-day event that will include two keynotes (one in the morning and one in the afternoon), individual paper presentations, and concluding panel discussion of presenters. The following submission types are invited for this workshop:
- Full research paper: 8-10 pages
- Short research paper or application demo paper: 4 pages
- Vision or statement paper: 2 pages
Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates available at http://www.acm.org/publications/proceedings-template.
Full research papers should present a specific problem or topic and discuss methodology and findings along with future research directions. Short research papers should demonstrate existing methods, toolkits, and best practices for building intelligent and resilient cities. Vision papers should be more situational in their coverage and focus on future directions while identifying gaps and challenges for designing intelligent cities under the resilient framework by addressing existing policy, sociological, and technological challenges. All submitted papers will be peer-reviewed to ensure the quality and clarity of the research.
Paper submission: August 31, 2019
Acceptance decision: September 21, 2019
Camera ready version: September 30, 2019
Workshop date: November 5, 2019
General Chair: Bandana Kar, Oak Ridge National Laboratory (firstname.lastname@example.org)
General Co-Chair: Olufemi A. Omitaomu, Oak Ridge National Laboratory (email@example.com)
Program Chair: Xinyue Ye, New Jersey Institute of Technology (firstname.lastname@example.org)
Program Chair: Shima Mohebbi, University of Oklahoma (email@example.com)
Program Co-Chair: Guangtao Fu, University of Exeter (G.Fu@exter.ac.uk)
Agenda - The agenda will be available in early October
Venue - The workshop will be held at the Holiday Inn at the Mart Plaza. The address of the hotel is: 350 W Mart Center Dr, Chicago, IL 60654 USA.
(TBC-to be confirmed)
Husain Aziz, Oak Ridge National Laboratory, TN, USA
Christa Brelsford, Oak Ridge National Laboratory, TN, USA
Pierre Emmanuel, University of Oklahoma, OK, USA
Hongchao Fan, Norwegian University of Science and Technology, Norway
Guangtao Fu, University of Exeter, UK
Weisi Guo, University of Warwick, UK
Haosheng Huang, University of Zurich (UZH), Switzerland
Philip James, Newcastle University, UK
Peng Jia, University of Twente, Netherlands
Bandana Kar, Oak Ridge National Laboratory, TN, USA
Shima Mohebbi, University of Oklahoma, OK, USA
Olufemi Omitaomu, Oak Ridge National Laboratory, TN, USA
Mark Raymond, University of Oklahoma, OK, USA
Walid Saad, Virginia Tech, VA, USA
Bing She, University of Michigan, MI, USA
Roger Wang, Rutgers University, NJ, USA
Shaohua Wang, New Jersey Institute of Technology, NJ, USA
Xinyue Ye, New Jersey Institute of Technology, NJ, USA
Greg Zacharewicz, IMS Laboratory, Bordeaux, France
Bandana Kar: Bandana Kar is a R & D Staff in the National Security Emerging Technologies Division at Oak Ridge National Laboratory. She was an Associate Professor in the Department of Geography and Geology at University of Southern Mississippi, Hattiesburg, MS. Her research focuses on integrating geospatial and computational sciences along with big data for situational awareness and assessment of resilience of infrastructures and cities. Her expertise includes image processing, spatio-temporal modeling and analytics, optimization and cyberGIS with applications in urban systems, extreme weather events, and infrastructure interdependency modeling. She has been funded by the Department of Homeland Security, National Science Foundation, Department of Defense and National Aeronautics and Space Administration. She received the Regional Development and Planning emerging scholar award from American Association of Geographers in 2019 and is the Social and Behavioral Science Editor for IEEE-Natural Hazards Review.
Olufemi A. Omitaomu: Olufemi (Femi) A. Omitaomu is a Senior R&D Staff in the Modeling & Simulation Group at Oak Ridge National Laboratory (ORNL). He is also a joint ORNL-UT Associate Professor in the Department of Industrial and Systems Engineering; and an Adjunct Faculty in the Department of Civil and Environmental Engineering at the University of Tennessee. His expertise includes systems engineering, artificial intelligence, systems modeling, and large-scale simulation with applications in energy systems, urban systems, and health systems. He has been funded by the Department of Energy, the National Geospatial-Intelligence Agency, and the Department of Veterans Affairs. He is the Guest Editor for the upcoming Special Issue of Smart Cities titled Applied Artificial Intelligence in Energy Systems.
Xinyue Ye: Xinyue Ye is an Associate Professor in College of Computing at New Jersey Institute of Technology, where he also directs Urban Informatics & Spatial Computing Lab. He integrates social science and computational science towards information visualization, urban informatics and spatial social network analysis – the mapping of relationships among individuals in virtual, perceived, and physical networks. He models the space-time perspective of socioeconomic inequality and human dynamics for applications in various domains, such as economic development, disaster response, transportation and land use, public health and urban crime. He won the national first-place research award from University Economic Development Association in 2011 and received the Regional Development and Planning emerging scholar award from American Association of Geographers in 2012. His work has been funded by the National Science Foundation, National Institute of Justice, Department of Commerce, and Department of Energy.
Shima Mohebbi: Shima Mohebbi is an assistant professor in the School of Industrial and Systems Engineering (ISE) at the University of Oklahoma. She received her PhD in ISE, and her second MS degree in Statistics from the University of Tennessee. She joined the Department of Civil and Environmental Engineering at the University of South Florida for her postdoctoral studies. She was also a visiting scholar in the University of Exeter’s center for water systems, UK, in summer 2017. Dr. Mohebbi’s research interests include algorithmic game theory, simulation modeling, stochastic programming , and high dimensional data mining with applications in resilient infrastructure systems (water-transportation-cyber-community) and smart cities. Her research is mainly supported by the NSF and the US DOT-RITA.
Guangtao Fu: Guangtao Fu is an Associate Professor of Water Intelligence at the Centre for Water Systems, University of Exeter and currently a Royal Society Industry Fellow working with Northumbrian Water Limited. His research focuses on conducting fundamental and applied research at the interface between water infrastructure systems and decision making by combining simulation, optimization, and information technologies. The main application areas include water supply and distribution, urban drainage, urban wastewater and water resources management.
For further information regarding the workshop, please contact Bandana Kar (firstname.lastname@example.org), Xinyue Ye (email@example.com) and Shima Mohebbi (firstname.lastname@example.org).
For more information about the workshop registration and accommodations, please visit the following sites: Registration - https://sigspatial2019.sigspatial.org/registration//
Venue and accommodations: https://sigspatial2019.sigspatial.org/venue-and-accommodations/