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App and Software

Ph.D. Jemin Lee (이제민)


I am a researcher at ETRI -- Dependable CPS Research Group. Before coming to ETRI, I was a post-doctoral researcher at KAIST and KISTI. I received my Ph.D. and B.S degrees in computer sicence and engineering, in 2017.8 and 2011.8, respectively, from Chungnam National University (CNU), south Korea.

NEWS
  • 11 Jul. 2019: Our paper was accpeted at IEEE Transactions on Mobile Computing.
  • 24 Nov. 2018: Our paper was accpeted at ACM MobiCom 2019.
  • 23 Oct. 2018: I join the inteligent system software group as a full-time researcher at ETRI.
  • 7 Spet. 2018: I started working as a post-doctoral researcher at KISTI.
  • 8 Aug. 2018: I am serving on the web chair of ACM MobiSys 2019.

  • RESEARCH INTERESTS


    To put it simply, my goal is to improve state-of-the-art mobile technologies through hands-on research. My research history lies in energy-aware mobile computing, data-driven analytics, applied machine learning, and mobile software testing. Specially, I really enjoy practical research and implementation to deploy a prototype service in real world.

    My research keywords are represented in the following Word-Cloud image. It is made by extracting words from my publications.



    Mobile System

    Software Testing

    Applied Machine Learning

    WROK EXPERIENCE


    Full Time Researcher, Electronics and Telecommunications Research Institute (ETRI), 2018.12.1~present
    Dependable CPS Research Group
    Infra/Core Software Technology Research Division
    SW·Contents Research Laboratory

    Postdoctoral Researcher, Korea Institute of Science and Technology Information (KISTI), 2018.9~10
    Research Data Platform Center

    Postdoctoral Researcher (including compulsory military service period), KAIST (Daejeon, Korea), 2017.9~2018.8
    Department: Knowledge Service Engineering
    Interative Computing Lab.
    Superviosr: Uichin Lee

    EDUCATION


    Ph.D. - Chungnam National University (Daejeon, Korea), 2011.9~2017.8
    Department: Computer Science and Engineering
    Embedded System Lab.
    Thesis: Power Modeling, Analysis, and Optimization for Mobile Devices
    Advisor: Hyungshin Kim
    Outstanding Ph.D. Thesis Award (top 1 out of 115)

    B.S. - Chungnam National University (Daejeon, Korea), 2006.3~2011.8
    Department: Computer Science and Engineering

    PROFESSIONAL SERVICES


    Chair

    Reviewer

    HONORS AND AWARDS


    1. Outstanding Ph.D. Thesis Award (1 out of 115), Chungnam National University.

    2. Embedded System Design Challenge Bronze Award, Faster R-CNN Optimization for Embedded System, ACM SIGDA KOREA Chapter 2017.

    3. IEMEK 2015 Best Presentation Award, Korean Embedded Engineering Conference 2015, Institute of Embedded Engineering of Korea.

    4. KSCI 2015 Best Paper Award, Korea Society of Computer Information 2015, The Korea Society of Computer Information.

    5. KCC 2015 Best Paper Award, Korea Computer Congress 2015, The Korean Institute of Information Scientists and Engineers.

    6. Participation Award, Graduation Contest 2015, Chungnam National University.

    7. Best Paper Award, Korea Computer Congress 2014, The Korean Institute of Information Scientists and Engineers.

    8. Best Presentation Award, Korea Computer Congress 2012, The Korean Institute of Information Scientists and Engineers.

    9. Participation Award, Creative Work Contest 2011, Department of Computer Science and Engineering, Chungnam National University.

    CERTIFICATIONS


    1. Neural Networks and Deep Learning, DeepLearning.io
      Coursera Verified Certificates
      3LHVLTALVV2R

    2. Machine Learning, Stanford University.
      Coursera Verified Certificates
      N3CVJAFQN9E5

    3. Practical Machine Learning, Johns Hopkins University.
      Coursera Verified Certificates
      QRGYHPC942

    4. R Programming, Johns Hopkins University.
      Coursera Verified Certificates
      UP6WE96RNN

    TALKS


    1. Machine Learning to Deep Learning (3 days, 15 hours)
      CNU-Machine Learning Tutorial for Grad Student, Jan. 2-6, 2017.
      Slides: [#1], [#2], [#3]
      [GitHub]

    2. Machine Learning to Deep Learning (3 hours)
      DNN, CNN, and RNN seminar in WIPS Daejeon, Apr. 20, 2017.
      Slides: [#1]

    SKILLS


    Data Science

    R, Python (including TensorFlow)

    Mobile and Embedded Systems

    Java (including Android),C/C++, ARM-assembly, Linux

    Others

    Node.js, Spring, SQL, LaTex

    TEACHING EXPERIENCES


    Multimedia, Teaching Assistance for Programming Practice.
    Spring, 2013, 2014 (two times)
    Chungnam National Univ.

    Embedded System, Teaching Assistance for Programing Practice.
    Spring, 2012.
    Chungnam National Univ.

    System Programing, Teaching Assistance for Programming Practice.
    Fall. 2011, 2012, 2014 (three times)
    Chungnam National Univ.

    ISSUED PATENTS


    1. Method and system for expecting users' mood based on status information and biometric information acquired by using user equipment
      Korea Patent number 10-1749706, Granted 06/15/2017.
      Hyungshin Kim, Jemin Lee, Jinyoung Choi

    2. Method for Detecting Indoor Zone with Bluetooth and Ultrasound of Smartphone
      Korea Patent number 10-1742960, Granted 05/29/2017.
      Hyungshin Kim, Jemin Lee, Jinse Kwon

    3. System and Method for Detecting Beacon
      Korea Patent number 10-1741406, Granted 05/24/2017.
      Hyungshin Kim, Jemin Lee, Seula Hwang

    4. Portable terminal and method for controlling a battery charging of the same
      Korea Patent number 10-1650038, Granted 08/16/2016.
      Hyungshin Kim, Jemin Lee, Donggeon Han

    5. Search system and method of executable GUI.
      Korea Patent number 10-1513662, Granted 04/20/2015.
      Hyungshin Kim, Jemin Lee, Donggeon Han

    6. Collaborative Power Model Creation Method and Service Module With the Same.
      Korea Patent number 10-1266971, Granted 02/26/2013.
      Hyungshin Kim, Jemin Lee