Manhyung Han, Ph.D.
Computer Engineering

My Picture * Background

I received my Ph.D. from Dept. of Computer Engineering at the Kyung Hee University, Korea in 2013. My advisor is Prof. Sungyoung Lee and I'm a member of both Ubiquitous Computing Laboratory and uLCRC(East-West Neo Medicinal u-Lifecare Research Center) advised by him. And I got my bachelor and master degrees in Computer Engineering from the Kyung Hee University in 2005 and 2007 respectively.

Currently I am working as a postdoctoral research fellow funded by BK21+ program and uLCRC at Kyung Hee University from September, 2013.

My research area is a field of Ubiquitous Computing, Context-aware Middleware, Activity Recognition, Autonomic Computing, Sensor Middleware, Embedded OS and Wireless Sensor Networks. Research section provides you more detailed information about my research and projects.

* Contact Information Ubiquitous Computing Lab(Room 351)
Dept. of Computer Engineering, Kyung Hee University
1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do
446-701, Korea

E-mail: smiley [at] oslab.khu.ac.kr
           manhyung [at] gmail.com
Phone: +82-31-201-2950
Fax: +82-31-202-2520
Facebook: http://www.facebook.com/manhyung

Ubiquitous Computing Laboratory Kyung Hee University

Computer Science Department at the UVa

Fraunhofer IDMT University of Ulster, Jordanstown
* Education Ph.D Computer Engineering(Aug. 21, 2013)
Dept. of Computer Engineering, Kyung Hee University, Korea
Major: Ubiquitous Computing
Thesis: "An Integrative Human Activity Recognition Framework based on Smartphone Multimodal Sensors"
Advisor: Prof. Sungyoung Lee
GPA: 3.842 / 4.3(89.58%)

M.S Computer Engineering(Feb. 21, 2007)
Dept. of Computer Engineering, Kyung Hee University, Korea
Thesis: "Agent-based Smart Sensing Framework for Lightweight Context-aware Middleware"
Advisor: Prof. Sungyoung Lee
GPA: 4.15 / 4.3(93.13%)

B.S Computer Engineering(Feb. 16, 2005)
Dept. of Computer Engineering, Kyung Hee University, Korea

* On-going Projects
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05/2014 ~ Present, MiningMinds: Development of Personal Big Data Analysis Platform and Core Technologies
  • Position: Co-Project Manager(Postdoctoral Research Fellow)
  • Mining Minds is a collection of services, tools and techniques working collaboratively to investigate on human’s daily routines to provide a personalized well-being and health-care support.
  • Research issues
    • Big Data Analysis and Modeling: Data acquisition from diverse sources of data in online and offline manner, unified representation and an interoperable and sharable model.
    • Human Behavior Analysis: User interests and preferences learned from historical and contextual data from emotion, activity, diet and sleep patterns.
    • Personalized Recommendation: Context-aware recommendation generation for the target users according to their needs and situation.
    • Knowledge Maintenance: High quality knowledge creation and feedback-based knowledge maintenance.
    • Adaptive UI/UX: UI/UX Authoring tool - Provide UX based adaptive UI
    [MiningMinds project overview and service application, click to enlarge]

  • Mining Minds Project Website: http://www.miningminds.re.kr
* Selected Papers
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[5] Manhyung Han, Jae Hun Bang, Chris Nugent, Sally McClean, Sungyoung Lee , A Lightweight Hierarchical Activity Recognition Framework using Smartphone Sensors, Journal of Sensors (SCIE, IF:2.048), Vol. 14, Issue 9, pp.16181-16195, 2014

[4] Ian Cleland, Manhyung Han, Chris Nugent, Hosung Lee, Shuai Zhang, Sally McClean and Sungyoung Lee, Evaluation of prompted annotation of activity data recorded from a smart phone, Journal of Sensors, (SCIE, IF 2.048), Vol. 14, Issue 9, pp.15861-15879, 2014

[3] Manhyung Han, Jae Hun Bang, Chris Nugent, Sally McClean and Sungyoung Lee, HARF: A Hierarchical Activity Recognition Framework using Smartphone Sensors, 7th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI),December 2-6, 2013
* Winner of UCAmI 2013 Best Paper Award

[2] Manhyung Han and Sungyoung Lee, Personalized Activity Modeling and Real-time Activity Recognition based on Smartphone Multimodal Sensors(스마트폰 멀티모달 센서 기반 개인화 행위모델링 및 실시간 행위인지), Journal of KIISE(Softwares and Applications), Vol. 40, No. 6, pp. 332-341, June, 2013

[1] Manhyung Han, La The Vinh, Young-Koo Lee and Sungyoung Lee, Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone, Journal of Sensors (SCIE, IF 1.953), Vol. 12, No. 9, pp. 12588-12605, 2012

* Recent Patents
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[5] Manhyung Han and Sungyoung Lee, Method for recognizing user context using complex sensors(복합 센서를 이용한 사용자 상황 인식 방법), Reg. No. 10-1367964, Domestic Patent Registration, February 20, 2014
[4] Sungyoung Lee and Manhyung Han, Method for producing personalized user activity model(개인화된 사용자 행위 모델의 생성 방법), Appl. No. 10-2013-0053234, Domestic Patent Application, May 10, 2013
[3] Sungyoung Lee, Young-Koo Lee, La The Vinh, Le Xuan Hung, Ngo Quoc Hung, Hyoung Il Kim and Manhyung Han, Method for activity recognition based semi Markov conditional random fields(세미 마르코프 조건부 랜덤 필드 모델 기반의 행동 인식 방법), Reg. No. 10-1163834, Domestic Patent Registration, Jul. 2, 2012
[2] Manhyung Han, Smartphone Sensor Monitoring Application for Activity Recognition(행위인지를 위한 스마트폰 센서 모니터링 어플리케이션), Reg. No. 2011-01-121-007901, Program Registration, Korea Software Copyright Committee, Nov. 17, 2011
[1] Sungyoung Lee, Young-Koo Lee, La The Vinh, Le Xuan Hung, Ngo Quoc Hung, Hyoung Il Kim and Manhyung Han, Method of Recognizing Activity on Basis of Semi-Markov Conditional Random Field Model, Appl. No. 12/886,800, U.S. Patent, Sep. 21, 2010
* Book chapters
[2] Jinsung Cho, Embedded System Project, Chapter 12, QT Image Viewer(Manhyung Han), ISBM-10: 8972835250, ISBN-13: 9788972835257, pp.376, Jan. 2006

[1] Hyunjung Cho, BIT Project vol. 92, Chapter 1 (CX222, Manhyung Han), ISBN-10: 8985957953, ISBN-13: 9788985957953, pp.650, Nov. 2003