The advancements in sensor technology and ubiquity of connected devices has enabled the generation of large volumes of disparate, dynamic and geographically-distributed data both by 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 has enabled real-time analytics of online and static data sets, the issue of modeling urban plans to ensure an intelligent city that is also resilient need 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 needs 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 1st International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018) is timely. The purpose of this workshop is to bring together researchers, practitioners and academicians to address the challenges of integrating computation, geospatial and urban sciences in building intelligent and resilient cities. The focus of this workshop is to provide a platform 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
- Theoretical and practical applications of Internet of Things in urban settings
- Visualizing urban areas and optimal locations of sensors for urban resilience
- 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 1st 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 24, 2018
Acceptance decision: September 30, 201
Camera ready version: October 15, 2018
Workshop date: November 6, 2018
Bandana Kar, Oak Ridge National Laboratory
Olufemi A. Omitaomu, Oak Ridge National Laboratory
Shima Mohebbi, University of Oklahoma
Guangtao Fu, University of Exeter
Agenda - The agenda will be available in early October
Venue - The workshop will be held at the Seattle Marriott Waterfront. The address of the hotel is: Seattle Marriott Waterfront, 2100 Alaskan Way, Seattle, WA 98121 USA.
(TBC-to be confirmed)
Husain M. Abdul-Aziz, Oak Ridge National Laboratory, USA
Pete Beckman, Northwestern-Argonne Institute for Science and Engineering, USA
Christa Brelsford, Oak Ridge National Laboratory
Katrina Brown, University of Exeter, UK (TBC)
Hua Cai, Purdue University, IN, USA (TBC)
Jerry Gao, San Jose State University, CA, USA (TBC)
Marlon Pierce, Indiana University, IN, USA
Mark Reymond, University of Oklahoma, USA
Walid Saad, Virginia Tech, USA
Dong Wang, University of Notre Dame, IN, USA (TBC)
Ouri Wilson, University of Illinois, IL, USA (TBC)
Expected Number of Participants: 75
Bandana Kar: Bandana Kar is a Research Scientist in the Geographic Information Science and Technology Group at Oak Ridge National Laboratory. She was an Associate Professor in the Department of Geography and Geology at University of Southern Mississippi, Hattiesburg, MS. She has expertise in image processing, spatial and temporal data analytics, geo-spatial and temporal modeling, damage and infrastructure resilience assessment. Her research focuses on integrating geospatial and computational sciences for situational awareness, and building of resilient infrastructures and cities. She has been funded by the Department of Homeland Security, National Science Foundation and Department of Defense to conduct research in risk communication and economic resilience using big data. She is the lead organizer for AAG’s Hazards and GIScience sessions, and co-organized 2017 GeoAI Workshop. She is a member of the organizing committee for 2018 and 2019 ASPRS, and has been part of the program committee for annual meetings of Gateways conference since 2016.
Olufemi A. Omitaomu: Olufemi (Femi) A. Omitaomu is a Senior Research Scientist in the Geographic Information Science and Technology Group at Oak Ridge National Laboratory (ORNL). He is also a team lead for Critical Infrastructure and Climate Change research in the group. In addition, he is the theme lead for the Urban Resiliency research within the Urban Dynamics Institute at ORNL. He is a scientific member of the Climate Change Science Institute at ORNL. Dr. Omitaomu 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 applied artificial intelligence, statistical data mining, and modeling and simulation with applications in infrastructure systems, energy systems, and emergency response.
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 Master’s degree in Statistics from the University of Tennessee, and achieved several academic recognitions and fellowships during her graduate studies. 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-optimization models, and high dimensional data mining with applications in resilient infrastructure systems and smart cities.
Guangtao Fu: Guangtao Fu is an Associate Professor of Water Infrastructure Systems 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 (email@example.com).
For more information about the workshop registration and accommodations, please visit the following sites:
Registration - http://sigspatial2018.sigspatial.org/registration/
Venue and accommodations: http://sigspatial2018.sigspatial.org/venue-and-accommodations/