This event is endorsed
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The 2nd EAI International Conference on IoT in Urban Space

May 24–25, 2016 | Tokyo, Japan

Keynote Speakers



   Licia Capra

   University College London





Data-driven Urban Planning and Policy Making: Opportunities and Challenges


The ongoing urbanization process that is taking place worldwide is expected to bring important advantages, including more efficient running of public services and better living standards for citizens. However, if not properly managed, it risks aggravating existing issues, such as traffic congestion, environmental pollution, economic and social inequality. By acquiring, integrating, and analysing large amounts of heterogeneous data, generated in urban spaces by a diversity of sources, such as sensors, devices, vehicles, buildings, and humans, a rich knowledge about the functioning of our cities can be derived and then acted upon to improve the quality of life of its residents. Using three different case studies, I will illustrate recent successes in terms of extracting knowledge from urban data and using it to inform city planning and policy making. I will conclude with a discussion of the many opportunities, but also the big challenges, that a data-driven society faces.


Since October 2015, Licia is Professor of Pervasive Computing in the Dept. of Computer Science at University College London. She first joined UCL in May 2000 as a Research Assistant, and then as a Ph.D. student (from September 2000 until September 2003). From October 2003 until March 2005, she have been a Research Fellow in the Software Systems Engineering Group at UCL/CS, working on the TAPASEuropean project. She then took on a Lectureship within the same department in April 2005. Before coming to England, Licia was an undergraduate student in the Dipartimento di Informatica at the University of Bologna, Italy.


  • Postgraduate Certificate in Learning and Teaching in Higher Education (PGCLTHE), Centre for the Advancement of Learning and Teaching, University College London, London UK. Awarded: September 2007.
  • Doctor of Philosophy, Dept. of Computer Science, University College London, London UK. Thesis title: "Reflective Mobile Middleware for Context-Aware Applications". Supervisor: Prof. Wolfgang Emmerich, University College London, London, UK. Awarded: October 2003
  • Laurea Degree (comparable to a British MSc) in Computer Science (summa cum laude), Dipartimento di Informatica, University of Bologna, Italy. Dissertation title: "The Problem of Dimensionality Curse in Multi-dimensional Databases" (in Italian). Supervisor: Prof. Paolo Ciaccia, Facolta di Ingegneria, University of Bologna, Italy. Awarded: March 2000.

Research Interests

Her general research area is ubiquitous computing. Her goal is to provide: (1) application developers with useful abstractions, algorithm libraries, and middleware systems to ease ubiquitous computing application development; (2) end users with better experiences when interacting with the technology in their daily life. In practice, Licia is currently researching into the following topics:

  • Crowd-sourcing and crowd-sensing;
  • Urban computing; 
  • Location-based services;
  • Recommender Systems;
  • Data mining for development.




   Ryosuke Shibasaki

   The University of Tokyo




Getting Overview of Cities with IoT; A Key of Successful Application for Better City Management


IoT will enhance capability of acquiring and collecting diverse data to support applications for urban services. Benefits of optimization enabled with the diverse data acquired locally, typically data on surrounding environment of a specific device could Individual data reflect only very local and limited aspect of “city environment”, such as local temperature, people density etc. As long as local data is used locally or by individual “silo” systems in a separated manner, the benefits of optimal or better operation can be quite limited. To enhance the benefits of optimization, each services or systems have to work in more collaborative manner. If integration of systems developed and operated by different, sometimes competing organizations is not so easy, another approach would be sharing “a dynamic overview” of city such as people flow. By referring to weather forecast information, many urban activities can “naturally collaborate”, though they do not explicitly exchange information. When weather forecast tells “heavy shower”, railway companies, taxi operators and convenience stores may take collaborative actions in advance very naturally. This presentation will emphasize the importance of sharing “weather forecast” to support city operations and introduce some ideas of generating such common information. And it also touches upon the possibility of IoT technology applications to fast growing cities in developing countries, where no other technologies rather than IoT can support better operations.


Department of Socio-Cultural and Socio-Physical Environmental Studies / / Spatial Information (Sensing, Simulation and Services)

Career Summary

1980: Graduated, Faculty of Engineering, Graduate School of Civil Engineering, The Univ. of Tokyo
1982: Graduated, Graduate School of Engineering, Univ. of Tokyo
1987: Doctoral Degree of Eng. (by submission of Paper)
1982-1988: Research Engineer, Public Works Research Institute, Ministry of Construction
1988-1991: Associate Professor, Faculty of Engineering, The University of Tokyo.
1991-1998: Associate Professor, Institute of Industrial Science, The University of Tokyo.
1998-present: Professor, Center for Spatial Information Science, The University of Tokyo
1998-present:Professor, Institute of Industrial Science, The University of Tokyo.
2005-present: Director, Center for Spatial Information Science, The University of Tokyo

Educational Activities

Graduate school: Spatial Information Development, Training course for Spatial Information Systems (Division of Environmental Studies), Geographic Information Systems (Graduate school of Civil Engineering, The University of Tokyo)
Graduate Schoool of Chuo University: Information management for Crisis Management
Undergraduate: Spatial Information Science II (Department of Civil Engineering, The University of Tokyo)

Research Activities

* 3D mapping of urban space (1988 to present)
Develop integrated sensor system consisting of CCD imaging sensors, laser scanner, IMU/GPS for a variety of platforms, such as satellite, airplane, UAV, vehicles, carriage, and human (hand-held), and automate mapping of 3D urban space and changes in buildings and structures.
* Measurement and Monitoring of the movement and behavior of human and moving objects in urban space(1998-present)
By integrating laser scanners, CCD imaging sensors, mobile positioning systems, and data integration methods, we can measure and monitor the movement and behavior of humans and moving objects and visualize their dynamics.
*Modeling context of human behavior and its application to context-aware services (2000-present)
By monitoring human behavior with senseing techniques and estimating the context behind it using a behavioral model, we can develop methodologies and experimental systems for context-aware proactive services.