Ph.D. Jemin Lee (이제민)

• Curriculum Vitae (CV)
• Google Scholar
• Perosnal Blog (Korean)

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.

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

• Customizing android framework
• Understanding power management on Linux kernel
• Automated power model generation for smartphones
• Energy optimization for smartwatch

Software Testing

• Large-scale GUI testing for Android Applications
• Abnormal resource usage detection

Applied Machine Learning

• User attention management
• Human activity modeling

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

• Web chiar for ACM MobiSys 2019

Reviewer

• Pervasive and Mobile Computing 2014
• IEEE Transactions on Mobile Computing 2015
• Journal of Medical Internet Research 2018
• Sustainable Computing, Informatics and Systems 2018
• IMWUT (UbiComp), May 2018
• IMWUT (UbiComp), Sept. 2018
• IEEE SCC 2019

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