ᵧᶌᶑᶒᶐᶓᶁᶒᶍᶐKaoru Sezaki,ᵪᵿᶀᶍᶐᵿᶒᶍᶐᶗᴾ ᴾ

Institute ofᵰᶃᶑᶃᵿᶐᶁᶆ Urban ComputingᵬᵿᶋᶃProfessorᵪᶍᶁᵿᶒᶇᶍᶌ

Industrial Scienceᵟᶐᶃᵿ㻌Ubiquitous Computing

The focus of our laboratory is Urban Computing and Ubiquitous Computing. There, heterogeneous spatial bigdata related to urban areas are sensed and analyzed. They are then utilized for various applications such as Maas
(Mobility as a Service), behavior change, urban planning, disaster mitigation, environmental monitoring, andeconomic analysis. It involves multiple research fields such as communication and network systems to transmit datafrom sensors, machine learning for the heterogeneous urban data to determine their implication and interaction ofapplications on smartphones. We are conducting many projects. You may join one of them to pursue one of theresearch mentioned above fields, or you may voluntarily start your research theme based on your own interest. It’s
all up to you! The followings are examples of ongoing researches. For more details, check our website shown at thebottom.

1. Mobile Sensing of Urban Environment and its Applications
With the rapid growth of IoT devices, it is expected that we can acquire urban data from fixed sensors deployedin the city infrastructure. However, it is not realistic because the hidden cost of
deploying and maintaining sensors as well as supplying power to them. On theother hand, there are many sensors in smartphones and floating cars (cars withsensors) are readily available. Since we don’t have to take care of such sensors'
deployment and maintenance, the cost is dramatically cheaper. By combining fixed
sensors and these sensors with mobility, we can expect spatiotemporal dynamic
urban data in real time and with much higher resolution. However, many researchissues remain to be solved as “active sensing” where sensors are moving with
controlled mobility, distributed calibration of sensors, privacy preserving sensing
and data mining and cost-effective sensing in huge areas. We are now tacklingthese issues and studying various applications in various areas such as smart city,<The environmental monitoring of Shibuya
smart grid, digital signage, policy and decision making, economics, ITS, urban
area by mobile sensing>planning, and meteorology.

2. Action Recognition for Ubiquitous Computing“What People are doing” and “where they are” are essential information for Ubiquitous Computing, navigation,
traffic control and other applications. It is also crucial inemergencies and used in various scenarios as detecting theanomaly in urban areas such as big events and disasters. Also, it isessential information when analyzing the pandemic as COVID-19.
To this end, we are currently developing a system to analyze
pedestrians' behavior using earable devices such as earphones. We
are also conducting a cost-effective way of monitoring people flow
and the prediction of future flow for urban planning and policy
making by integrating the current people flow and various external<The experiment of detecting pedesterian’s behavior
data as climate and social network.

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using eye tracker and earable devices>

We are developing a framework for promoting behavior change by recording the persons’ activity and locations.
The smartphone App. for behavior change Called Selfguard and Mocha are now available through App Store andyou can try them at hand. The optimal incentive mechanism for behavior change especially for preventingpandemic as COVID-19 and adult disease is now studied using the methodology of behavioral economics.
‫ ڦ‬HP of the lab. https://www.mcl.iis.u-tokyo.ac.jp/en/‫ ڦ‬Feel free to contact Prof. Kaoru SEZAKI (sezaki@iis.u-tokyo.ac.jp) for questions and lab. tour