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
08:00 - 09:00 Breakfast
09:00 - 09:15 Welcome and Announcements
09:15 - 10:30 Session 1 (Chair: Bandana Kar)
09:15 - 10:00 Keynote: Smart Cities: Enablers, Challengers, and Opportunities, Dr. Walid Saad, Virginia Tech.
10:00 - 10:30 Aging in Place: Challenges for Smart & Resilient Communities, Mark Mckenney and Connie Frey-Spurlock, Southern Illinois University
10:30 - 11:00 Multiple Evaluation in Future Population Distribution for Sustainable City, Shota Tamura and Takahiro Tanaka, Hiroshima University
11:00 - 11:30 Coffee Break
11:30 - 13:00 Session 2 (Chair: Bandana Kar)
11:30 - 12:00 Detecting Street Signs in Cities Based on Object Recognition with Machine Learning and GIS Spatial Analysis, Zihao Wu and Xiaolu Zhou, Georgia Southern University
12:00 - 12:30 D-record: Disaster Response and Relief Coordination Pipeline, Shruti Kar, Hussein Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Wright State University; Srinivasan Parthasarathy, The Ohio State University
12:30 - 13:00 Panel Discussion (All Speakers)
13:00 - 14:00 Lunch (On your own)
14:00 - 16:00 Session 3 (Chair: Shima Mohebbi)
14:00 - 14:45 Keynote: The Newcastle Urban Observatory: Evidence for a Resilient and Intelligent City, Philip James, Newcastle University, UK
14:45 - 15:15 Analysis, Integration and Visualization of Urban Data From Multiple Heterogeneous Sources, Pedro Magalhães Fortini and Clodoveu A. Davis Jr., Universidade Federal de Minas Gerais
15:15 - 15:45 SCOUTS: A Smart Community Centric Urban Heat Monitoring Framework, Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra, Andrew Grundstein, Sujeet Kulkarni, and Yanzhe Yin, University of Georgia
15:45 - 16:15 Coffee Break
16:15 - 17:45 Session 4 (Chair: Shima Mohebbi)
6:15 - 16:45 Real-time Traffic Light Detection from Videos with Inertial Sensor Fusion, Nishat Anjum Khan and Rashid Ansari, University of Illinois, Chicago
16:45 - 17:15 An Integrated Visual Analytics Framework for Spatiotemporal Data, Shaohua Wang, Arizona State University; Ershun Zhong, Institute of Geographic Sciences and Natural Resources Research, CAS; Qiang Zhou, Xue Cui, Hao Lu, Weiying Yun, Zhongnan Hu, Wenwen Cai, SuperMap Software Co. Ltd.; Liang Long, Institute of Geographic Sciences and Natural Resources Research, CAS
17:15 - 17:45 Panel Discussion (All Speakers)
17:15 - 17:45 Closing Remarks
Bandana Kar, Oak Ridge National Laboratory
Olufemi A. Omitaomu, Oak Ridge National Laboratory
Shima Mohebbi, University of Oklahoma
Guangtao Fu, University of Exeter
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.
Morning Keynote Speaker: Dr. Walid Saad (Virgina Tech)
Bio: Walid Saad (S'07, M'10, SM’15) received his Ph.D degree from the University of Oslo in 2010. Currently, he is an Associate Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network Science, Wireless, and Security (NetSciWiS) laboratory, within the Wireless@VT research group. His research interests include wireless networks, machine learning, game theory, cybersecurity, unmanned aerial vehicles, and cyber-physical systems. Dr. Saad is the recipient of the NSF CAREER award in 2013, the AFOSR summer faculty fellowship in 2014, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of six conference best paper awards at WiOpt in 2009, ICIMP in 2010, IEEE WCNC in 2012, IEEE PIMRC in 2015, IEEE SmartGridComm in 2015, and EuCNC in 2017. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, of the 2017 IEEE ComSoc Best Young Professional in Academia award, and of the 2018 IEEE ComSoc Radio Communications Committee Early Achievement Award. From 2015-2017, Dr. Saad was named the Stephen O. Lane Junior Faculty Fellow at Virginia Tech and, in 2017, he was named College of Engineering Faculty Fellow. He currently serves as an editor for the IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Mobile Computing, and IEEE Transactions on Information Forensics and Security.
Title - Smart Cities: Enablers, Challenges, and Opportunities
Abstract - Transforming our villages, towns, and cities into smart and connected communities is arguably the most pressing technological challenge for the coming decade. Some of the key technological enablers for this transformation include: a) the so-called Internet of Things (IoT) ecosystem which is expected to connect a heterogeneous mix of objects ranging from smartphones and tablets to vehicles, sensors, wearables, physical objects, and people, b) intelligent and autonomous transportation systems, and c) smart power systems and smart buildings. Collectively, these innovations will provide cities with the much needed intelligence, autonomy, and connectivity that will realize the vision of truly smart environments. In this session, we will present a broad view on the smart cities vision, while discussing its enabling technologies with a focus on the challenges and opportunities associated with each one of them. We will particularly focus on issues of connectivity, resilience, and security, in the context of the IoT and autonomous systems environments.
Afternoon Keynote Speaker: Dr. Philip James (Newcastle University, UK)
Bio: Phil James is director of the Newcastle Urban Observatory and co-leads the UK National Observatory Programme. His role is the overall management and direction of the observatory programme and generating strategic partnerships with researchers, civic society and industry. His research is at the intersection of Engineering and Computer Science with a recent focus on IoT and environmental monitoring and how we apply emerging technologies to real-world solutions. He is PI on the EPSRC CORONA (City Observatory Research platfOrm for iNnovation and Analytics) project and participates as Co-I in a research portfolio of interdisciplinary research worth over £15m.
Title: The Newcastle Urban Observatory: Evidence for a resilient and intelligent city
Abstract: The Newcastle Urban Observatory (www.urbanobservatory.ac.uk) was established to enable us to observe and learn about urban processes and their interactions across sectors and scales. It records 1 million city observations a day, of over fifty social, environmental and technical processes, across the city – making it the biggest open source of real-time urban data in the UK, possibly globally. The Observatory monitors a range of phenomena including transport emissions, precipitation, surface water and river flows, air and water quality, biodiversity health indices such as beehive weight. The data are openly available through an API and can inform adaptation and mitigation activities in sectors such as transport, building energy, urban greening and flood management.
In this talk we will review the progress of the programme to date – including visualisations of the data at building and city-scale. We will reflect upon the technical, financial, and social challenges of establishing, maintaining, and using such a large IoT infrastructure. The City Council are already using this high resolution dataset to inform their environment and transport strategies, whilst ongoing research is undertaking two detailed studies into real-time analytics for flood resilience, and for air quality.
Husain M. Abdul-Aziz, Oak Ridge National Laboratory, USA
Pete Beckman, Northwestern-Argonne Institute for Science and Engineering, USA
Vik Bhide, City of Tampa Transportation and Stormwater Services
Christa Brelsford, Oak Ridge National Laboratory
Katrina Brown, University of Exeter, UK (TBC)
Hua Cai, Purdue University, IN, USA
Jerry Gao, San Jose State University, CA, USA (TBC)
Pierre-Emmanuel Kirstetter, NOAA National Severe Storms Laboratory
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)
Xinyue Ye, New Jersey Institute of Technology
Gregory Zacharewicz, University of Bordeaux, France
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/