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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
BPM
T, Com
pile
r
Work
flow
Bio
info
rmatics
SIR
C, M
obile
U-H
ealth
Pla
ce R
eco
gnitio
n
1998 2003 2005 2008~
PPI, D
ata
-min
ing
Loca
lizatio
n &
LBS
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: [email protected]◦Minkyu Lee(Localization):
[email protected]◦Woohyuk Jang(Bioinfo.):
Q&AThank you