Prof. Dong-Soo Han’sIntelligent Service Integration Lab-oratory (I.S.I Lab.), CS KAIST, 2010

Contents

Members1

Research History2

3 Research Area

Projects and Collaboration4

5 Contact Information

Members

Advisor◦Prof. Dong-Soo Han

Researchers◦Ph. D. Student: 4◦Master Student: 6

Research History

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ISI Lab’s heritage since 1998

Research AreaMobile U-HealthBioinformaticsLocalization & LBS

◦Place Recognition◦Place-Based Services◦Life-logging

Place Recognition

2’11’’

Place RecognitionObjective

To apply Wi-Fi based localization sys-tem to urban spaces (Street, Park, Café, Store, Restaurant, Theater, Museum, Bus-stop, …)

Global-Scale Open RadiomapUsers collect Wi-Fi fingerprints

into a Central Fingerprint Data-base (Radiomap) using Smart Phone

Determine user’s location from the database

Contribution? Sample Movie (1’24’’)

Place Recognition

Research Issues◦Recognition methods◦Confidence of recognition◦Heterogeneous device (RSSI adjust-

ment)◦Large-scale Radiomap◦Verifying contributions Central

LocationFingerprintDatabase

Contributor

User

Fingerprint+ Place Label

Fingerprint

Place Label

Fingerprint

Place Label

LocalCache

update

Place based Application Exam-ple

Name card Exchange (49’’)Location Trace (59’’)Attached Notes, Photos, Adaptive

Ringer(1’34’’)Indoor Navigation (We are demonstrating

this in Germany now!!!)

Lifelong location loggingResearch Objective

◦ Based on continuously logged location context of user, this research tried to provide computer-aided personal biography of places where the user visited

◦ Lifelong Location log can be augmented by var-ious contents like pictures, videos, audio log, SMS, etc.

Research Issues◦ Power efficient location logging◦ Recognition for meaningful places◦ Life pattern recognition◦ Tour log extraction

Mobile U-Health

Mobile U-Health Service◦ Personalized health management service accessible in

mobile environment◦ Objectives

Provides rich developing, running, usage environments for u-health services

Makes the best use of u-health service characteristics Meets the general quality attributes in designing a large-scale

service platform

Bioinformatics The enormous growth in the amount of DNA, protein,

and other biological data necessitates information technology for the analysis◦ Machine learning & Probabilistic method, Database & Data mining, Data

organization & Visualization

◦ Protein interaction network analysis

◦ Protein interaction, complex and function prediction

◦ Pharmacy protein trace and analyzing system

ProjectsBioinformatics :

◦Supported by Korean government (MEST)◦2009. 9~

Life-logging : ◦Supported by Microsoft (MSRA)◦2010~

Broadband Convergence Network (BCN) Engineering Technology Re-search:◦2010. 2~

Research Collaboration

CollaborationCollaboration

Human Resources

Human Resources Ph. D.:2, Master: 3Ph. D.:2, Master: 3 Ph. D.:2, Master: 2Ph. D.:2, Master: 2

Final GoalFinal Goal Innovative Applications help Ordinary Life Innovative Applications help Ordinary Life

LBS Topic LBS Topic Other Topics Other Topics

- Analysis based Ap-plications

- Social Net-work Applica-tions

Main AreaMain AreaPlace RecognitionLife-loggingPlace based Service

Place RecognitionLife-loggingPlace based Service

Network Analysis (Bioinformatics)Formal description(BcN)

Network Analysis (Bioinformatics)Formal description(BcN)

- Mobile Environ-ment Applica-tions

Contact InformationWeb: http://isilab.kaist.ac.krTel: 042-350-6290Lab: F314 (Munji-campus)Prof: F319 (Munji-campus)Contact:

◦Professor: dshan@kaist.ac.kr◦Minkyu Lee(Localization):

niklaus@kaist.ac.kr◦Woohyuk Jang(Bioinfo.):

torajim@kaist.ac.kr

Q&AThank you