12月5日（木）14：00から情報科学研究科棟A31教室でマイクロソフトリサーチの講演
会を開催することになりました。マイクロソフトリサーチでの海外インターンシップ
の説明もあります。皆さんふるってご参加ください。

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Microsoft Research Forum in Hokkaido University　- Beyond Big-Data –

Organized by Microsoft Research

#Background

What if, you could actually see your doctor when you were at home? What if,
your wearable devices could cheer you up one day? What if, an intelligent
computing system broke the barrier between the physical and virtual world,
and let you communicate whenever and wherever you wanted?

At the first sight of this description, you might, like me, conjure up a
fancy picture of what computer science will look like in the future.

Indeed, in today’s new wave of technological transformation, scientists
around the world are exploring an array of technologies to enable the
seamless flow of information between humans and computing devices and trying
to draw a clearer picture of the future.

In this context, Microsoft Research forum will be held on December 5th in
Hokkaido University. This event will invite 3 distinguished speakers to
share the latest trends and research results with students and faculty
through keynote speeches to provide a new perspective on computer science
research.

#Program

Data: December 5th, 2013, 14:00-17:00

Venue: A31 Classroom, Graduate School of Information Science and Technology

No registration, free to join

MC: Prof. Satoshi Oyama, Department of Synergic Information Science

#Agenda

14:00-14:05　Opening　

14:05-14:55　Dr. Feng Zhao, Assistant Managing Director, Microsoft Research
Asia, “From Smart Sensors to City”

14:55-15:45　Prof. Masanori Sugimoto, Department of Computer Science,
“Smart Environments for Creative and Secure Life”

15:45-15-55 Break

15:55-16:45　Dr. Nicholas Yuan, Associate Researcher, Microsoft Research
Asia, “LifeSepc: Exploring the Spectrum of Urban Lifestyles”

16:45-17:00　Introduction of Microsoft Academic Collaboration Program

17:00　Closing

#Overview of Talk

Speaker1: Dr. Feng Zhao, Assistant Managing Director, Microsoft Research
Asia

http://research.microsoft.com/en-us/um/people/zhao/

Title: From Smart Sensors to City OS (I) (TBD)

Abstract:

With the proliferation of the IoT (Internet of Things) ecosystem, mobile
sensors, and “soft” sensors, we are increasingly seeing opportunities to
collect rich data sets that were previously unavailable. In turn, the market
demands an end-to-end Big Sensor Data (BSD) platform for data collection,
data storage, data-driven analysis, and feedback loop. The significance of
BSD is not just in the data quantity, but also in the real-world insights
that they reveal. In this talk, I will introduce research challenges that
are related to the four stages of BSD above.

First, how have the limits and boundaries of sensing and actuation been
pushed by technological advances, such as the maturity of cloud-computing
and the miniaturization of devices? Second, how should techniques and
analytical tools from years of Big Data research impact the work on BSD, and
streamline the BSD adaption? Third, from the pioneering work on modeling
parts of our physical world with data, what do we need to model the missing
pieces?

Speaker2: Prof. Masanori Sugimoto, Department of Computer Science

http://aiwww.main.ist.hokudai.ac.jp/~sugi/index_j.html

Title: Smart Environments for Creative and Secure Life

Abstract:

We are surrounded by the various computer-embedded artifacts. It is getting
more and more important how we design those artifacts and how we make them
more useful for our daily life. I introduce computer system to support our
creative and secure life based on my previous research.

Speaker3: Dr. Nicholas Yuan, Associate Researcher, Microsoft Research Asia

http://research.microsoft.com/en-us/people/nichy/

Title: LifeSepc: Exploring the Spectrum of Urban Lifestyles

Abstract:

An incisive understanding of human lifestyles is not only essential to many
scientific disciplines, but also has a profound business impact for targeted
marketing. In this talk, we present LifeSpec, a computational framework for
exploring and hierarchically categorizing urban lifestyles. Specifically, we
have developed an algorithm to connect multiple social network accounts of
millions of individuals and collect their publicly available heterogeneous
behavioral data as well as social links. In addition, a nonparametric
Bayesian approach is developed to model the lifestyle spectrum of a group of
individuals. To demonstrate the effectiveness of LifeSpec, we conducted
extensive experiments and case studies, with a large dataset we collected
covering 1 million individuals from 493 cities. Our results suggest that
LifeSpec offers a powerful paradigm for 1) revealing an individual’s
lifestyle from multiple dimensions, and 2) uncovering lifestyle
commonalities and variations of a group with various demographic attributes,
such as vocation, education, and place of residence. The proposed method
provides emerging implications for personalized recommendation and targeted
advertising.

Contact：nkuno@microsoft.com