Visible to the public CfP: 5th International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE 2020)Conflict Detection Enabled

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"Thank you very much for your interest in the SCOPE 2020 workshop. However, due to a number of reasons including the situation with COVID-19 pandemic and the lack of submissions, the SCOPE workshop has been cancelled this year."

CALL FOR PAPERS - Submission deadline: February 09, 2020!

5th International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE 2020)

Co-located with CPS-IoT Week 2020

April 21, 2020 | Sydney, Australia |

** Workshop theme **

Data and Model-driven analysis and co-simulation of Smart Mobility and Energy

** Important Dates **

  • Submission deadline: February 09, 2020
  • Notification of acceptance: February 28, 2020
  • Final paper submission deadline: March 15, 2020
  • Workshop date: April 21, 2020
  • Full paper submissions are peer-reviewed by at least 3 reviewers.

** Call for papers **

The problems of 'closing-the-loop' in smart city application areas are compounded due to the spatial and temporal scales of operation, heterogeneity, and complexity of the underlying physical systems, their interaction with socio-economic behaviors, and risks of cybersecurity and privacy. This year the smart cities workshop is focusing on the problems raised by the increasing integration of smart mobility and smart grid within our communities.

What makes this problem concerning is that the advances in mobility (electrification, sharing and autonomy), electrification (microgrids and peer to peer energy transfer) are unfolding spontaneously, without considerations of any centralized control or plans of interoperability, which often results in unintended interactions leading to vulnerabilities in the cyber, physical as well as social domain. We may consider ride-sharing services as an example - while providing a new mode of transportation to many, widespread offerings of ride-sharing may lead to increased congestion as shown from studies conducted in San Francisco and New York City. Newly proposed fleets of electrified autonomous taxis might lead to millions of zero-occupancy vehicle miles traveled (VMT) with negative environmental impact and increase the dynamic load induced on the electric grid by the vehicles. Further, lack of system wide planning and protection can allow an adversary to lead the autonomous taxis into a congested area or create heavy electrical load on specific substations. At the same time, while vehicle-to-grid studies have been presented for over a decade now, many fundamental research questions still remain open. For example, both planning and operation services in today's power distribution grid are changing rapidly, almost at the same pace as the transportation industry is changing. Multitudes of new devices such as smart transformers, flexible loads, fast chargers, energy storage, and associated power electronic converters are being added to the grid. How the modern distribution grid with all of these new dynamic components is going to behave when integrated with new transportation loading profiles, in both longer and smaller time-horizons, is a big question.

Topics of Interest (but not limited to):

This workshop invites researchers in smart and connected communities, power system engineers, transportation engineers, control theorists, and data scientists together, to outline the challenges and possibilities for modeling and analyzing these multi-domain systems. Submissions can fall under one or more of the following categories:

  1. initial and promising research results,
  2. industrial case studies,
  3. position statements with sufficient justification and rationale for the proposed idea(s).

At least three workshop committee members will review all submitted papers. All papers will be published in the ACM digital library. Selected high quality papers will be considered for publication (after substantial extension) in the Elsevier's Pervasive and Mobile Computing journal.

  • Handling Big Data generated by the integrated mobility and electricity infrastructure
  • Integrated co-simulation of city systems considering human behavior and urban planning
  • Resilient decentralized control of the city system
  • Failures, security threats, and recovery amidst tight integration of transportation and electric grid
  • Equity, fairness, and social impact of the rapid progression of integrated technologies and decision support systems
  • Stability studies for distribution grid under highly fluctuating transportation loading profilesRole of smart transformers and energy storage for grid's transient and voltage stability
  • Machine learning (ML) techniques to optimize the services in mobility and energy domains
  • Novel robust, adaptive, and data-driven ML-based control techniques for grid converters
  • Management and optimization of electric transit vehicles
  • Future application and problems in the area

** Author Instructions **

** Organization Committee **

  • Himanshu Neema (Vanderbilt University)
  • Sajal Das (Missouri Science and Technology)
  • Abhishek Dubey (Vanderbilt University)
  • Sokwoo Rhee (NIST)
  • Aranya Chakrabortty (NCSU) (PC Chair)
  • Subhadeep Chakraborthy (UTK)

** Program Committee **

  • Himanshu Neema (Vanderbilt University)
  • Sajal Das (Missouri Science and Technology)
  • Abhishek Dubey (Vanderbilt University)
  • Sokwoo Rhee (NIST)
  • Aranya Chakrabortty (NCSU) (PC Chair)
  • Subhadeep Chakraborthy (UTK)
  • Ramtin Pedarsani (UCSB)
  • Mahnoosh Alizadeh (UCSB)
  • Ketan Savla (USC)
  • Stephen Lee (University of Pittsburgh)
  • Hirozhumi Yamaguchi (Osaka)
  • Shameek Bhattacharjee (Wmich)
  • Keiichi Yasumoto (NARA Institute of Science and Technology)
  • Mina Sartipi (UTC)