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 BPMT, Compiler Workflow Bioinformatics SIRC, Mobile U-Health Place Recognition ~ PPI, Data-mining Localization & LBS 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) ◦ ~ Life-logging : ◦ Supported by Microsoft (MSRA) ◦ 2010~ Broadband Convergence Network (BCN) Engineering Technology Research: ◦ ~

Research Collaboration Collaboration Human Resources Human Resources Ph. D.:2, Master: 3 Ph. D.:2, Master: 2 Final Goal Innovative Applications help Ordinary Life Innovative Applications help Ordinary Life LBS Topic LBS Topic Other Topics Other Topics - Analysis based Applications - Social Network Applications Main Area Place Recognition Life-logging Place based Service Place Recognition Life-logging Place based Service Network Analysis (Bioinformatics) Formal description (BcN) Network Analysis (Bioinformatics) Formal description (BcN) - Mobile Environment Applications

Contact Information Web: Tel: Lab: F314 (Munji-campus) Prof: F319 (Munji-campus) Contact: ◦ Professor: ◦ Minkyu Lee(Localization): ◦ Woohyuk Jang(Bioinfo.):

Q&A Thank you