Microsoft Research Forum in Hokkaido University
Microsoft Research AsiaからDeputy Managing DirectorであるDr. Feng ZhaoとDr. Nicholas Yuanが来日し、北海道大学で講演会を行います。
Microsoftは今年、デバイス＆サービスカンパニーとして再スタートをするために過去最大の組織変更を行いました。それにともないMicrosoft Researchの役割も変わっていくのでしょうか。現在のラボのトップであるPeter Leeがこちらのインタビューでも述べている通り、Microsoft Researchの使命は変わりません。第一のミッションである基礎研究への貢献は不変であり、アカデミアのコミュニティに深くコミットし、世界各地の大学・研究機関と研究交流・人材交流を深めることが今まで以上に重要になっています。その一方で、Microsoft Research求められる研究のスピードも早くなってくると思われます。
MSからは北京の研究所の副所長として、モバイル、ネットワーク関連のグループを統括しているFeng Zhaoと、北京のSocial and Urban Mining (SUM) Groupで、Urban Computingの研究を行っているNicholas Yuanが、彼らの最新の研究成果について話をいたします。
○Microsoft Research Forum in Hokkaido University 概要
司会・進行： 小山聡 准教授、複合情報学専攻
14:05-14:55 Dr. Feng Zhao, Deputy Managing Director, Microsoft Research Asia, “Planet-Scale Sensing: from smart sensors to CityOS”
14:55-15:45 杉本雅則 教授、コンピュータサイエンス専攻, “Smart Environments for Creative and Secure Life”
15:55-16:45 Dr. Nicholas Yuan, Associate Researcher, Microsoft Research Asia, “LifeSepc: Exploring the Spectrum of Urban Lifestyles”
16:45-17:00 公野昇、マイクロソフトリサーチコネクションズ, “アカデミックプログラムのご紹介“
17:00 閉会の挨拶 小山聡 准教授
Dr. Feng Zhao, Deputy Managing Director, Microsoft Research Asia
Title: Planet-Scale Sensing: from smart sensors to CityOS
The lofty vision of the wireless sensor network research, when it started more than a decade ago, was to blanket the planet with tiny, self-organizing smart dust. Each dust particle has a little bit of sensing, computation and communication, with some onboard energy reserve. When released in the ambience, the smart dust collaborates to sense and possibly act on the physical world and its inhabitants, for a variety of societal scale problems such as environment, energy, health, and mobility. Now, with the advent of the increasingly more capable sensors on widely available platforms such as smartphones and vehicles, the age of planet-scale sensor networks has finally arrived. This new generation fixed and mobile sensing systems leverage storage and processing both on devices and in the cloud. Furthermore, the ability to crowd-source the sensing and action with users in the loop presents new opportunities as well as raising issues of privacy and security. In this talk, I will give an overview of the major advances in sensor networks to date. The rest of the talk will cover major applications of planet-scale sensing, including saving energy in Internet data centers, mapping out noise in the environment, and understanding human mobility patterns for better urban planning.
Feng is an Assistant Managing Director at Microsoft Research Asia, responsible for the hardware, mobile and sensing, software analytics, systems and networking research areas. His own research has focused on wireless sensor networks, energy-efficient computing, and mobile systems. Prior to joining MSR-Asia in 2009, he was a Principal Researcher at MSR Redmond (2004-2009), and founded the Networked Embedded Computing Group that has designed and deployed sensor networks at several Microsoft datacenters for environmental monitoring and energy optimization. He was a Principal Scientist at Xerox PARC 1997-2004, and founded PARC’s sensor network effort.
Feng has championed the wireless sensor network and energy-efficient computing research at Microsoft. He was among the first to develop a suite of collaborative sensing and processing protocols for tracking problems using networked sensors, including the IDSQ algorithm. He authored or co-authored over 100 technical papers and books, including a book, Wireless Sensor Networks: An information processing approach, by Morgan Kaufmann. He was the founding Editor-In-Chief of ACM Transactions on Sensor Networks (2003-2010), and founded the ACM/IEEE IPSN conference. In 2008, he helped start a new workshop, HotPower, focusing on the emerging topic of sustainable computing.
Feng received a PhD in Computer Science from MIT, and taught at Ohio State University and Stanford University. An IEEE Fellow, Feng received a Sloan Research Fellowship (1994) and NSF and ONR Young Investigator Awards (1994, 1997).
Dr. Ncholas Yuan, Associate researcher in the Social and Urban Mining (SUM) Group of Microsoft Research Asia
Title: LifeSepc: Exploring the Spectrum of Urban Lifestyles
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.
Nicholas Jing Yuan (袁晶) is currently an associate researcher in Microsoft Research Asia. He got a Ph.D degree in Computer Science from the School of Computer Science and Technology in 2012, and a B.S. degree in Mathematics from the School of the Gifted Young in 2007, both in University of Science and Technology of China. From 2009 to 2012, He worked as a full time research intern in MSR Asia. Currently, his research interests include behavioral data mining, spatial-temporal data mining and computational social science. He is a member of ACM and IEEE. During the past few years, as a leading author, Nicholas published a series of papers in top-tier conferences and journals, such as ACM SIGKDD, IEEE TKDE, ACM Ubicomp, and SIGSPATIAL. His work has been featured by influential media such as MIT Technology Review many times. Nicholas was honored with ACM SIGSPATIAL Best Paper Runner-up Award in 2010 and Microsoft Fellowship in 2011.