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Prof. Dong- Soo Han’s Intelligent Service Integration Laboratory (I.S.I Lab.), CS KAIST, 2010

Prof. Dong- Soo Han’s Intelligent Service Integration Laboratory (I.S.I Lab.), CS KAIST, 2010. Contents. Members. 1. Research History. 2. Research Area. 3. Projects and Collaboration. 4. Contact Information. 5. Members. Advisor Prof. Dong- Soo Han Researchers Ph. D. Student: 4

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Prof. Dong- Soo Han’s Intelligent Service Integration Laboratory (I.S.I Lab.), CS KAIST, 2010

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

  2. Contents Members 1 Research History 2 Research Area 3 Projects and Collaboration 4 Contact Information 5

  3. Members • Advisor • Prof. Dong-Soo Han • Researchers • Ph. D. Student: 4 • Master Student: 6

  4. Research History • ISI Lab’s heritage since 1998 2008~ 1998 2003 2005 Workflow U-Health Bioinformatics Localization & LBS SIRC, Mobile BPMT, Compiler PPI, Data-mining Place Recognition

  5. Research Area • Mobile U-Health • Bioinformatics • Localization & LBS • Place Recognition • Place-Based Services • Life-logging

  6. Place Recognition 2’11’’

  7. 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’’)

  8. Place Recognition • Research Issues • Recognition methods • Confidence of recognition • Heterogeneous device (RSSI adjustment) • Large-scale Radiomap • Verifying contributions

  9. 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!!!)

  10. 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

  11. 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

  12. 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

  13. 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~

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

  15. 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

  16. Q&A Thank you

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