Introducing CS Laboratory - Intelligent Service Integration ...

tastelesscowcreekBiotechnology

Oct 4, 2013 (4 years and 7 days ago)

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Prof. Dong
-
Soo

Han’s

Intelligent Service Integration Laboratory
(I.S.I Lab.), CS KAIST, 2010

Contents

Members

1

Research History

2

3

Research Area

Projects and Collaboration

4

5

Contact Information

Members


Advisor


Prof. Dong
-
Soo

Han



Researchers


Ph. D. Student: 4


Master Student: 6



Research History

1998

2003

2005

2008~


ISI Lab’s heritage since 1998


Research Area


Mobile U
-
Health


Bioinformatics


Localization & LBS


Place Recognition


Place
-
Based Services


Life
-
logging



Place Recognition

2’11’’

Place Recognition


Objective


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


Global
-
Scale Open
Radiomap


Users collect Wi
-
Fi fingerprints into
a
Central Fingerprint Database
(
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 adjustment)


Large
-
scale
Radiomap


Verifying contributions

Place based Application Example


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 logging


Research 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 various
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



Projects


Bioinformatics :


Supported by Korean government (MEST)


2009. 9~


Life
-
logging :


Supported by Microsoft (MSRA)


2010~


Broadband Convergence Network (BCN)
Engineering Technology Research:


2010. 2~

Research Collaboration

Collaboration

Human

Resources

Ph. D.:2, Master: 3

Ph. D.:2, Master: 2

Final Goal


Innovative Applications help Ordinary Life


LBS Topic


Other Topics

-

Analysis based
Applications

-

Social Network
Applications

Main Area

Place Recognition

Life
-
logging

Place based Service

Network Analysis

(Bioinformatics)

Formal description

(
BcN
)

-

Mobile Environment
Applications

Contact Information


Web:
http://isilab.kaist.ac.kr


Tel: 042
-
350
-
6290


Lab: 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&A


Thank you