Education

• B.S. Korea Advanced Institute of Science and Technology (KAIST), 2009
  • Major: Materials Science and Engineering
  • Minor: Chemistry
• M.S. in Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2011
  • Thesis: Low-temperature deposition of Cu(In,Ga)Se₂ absorber using Na₂S doping
• M.S. in Electrical and Computer Engineering, University of California San Diego (UCSD), 2021
  • Track: Machine Learning and Data Science
• Ph.D in Materials Science and Engineering, University of California San Diego (UCSD), (2017-2019, Withdrawal)
  • Changed the degree aim and area to M.S. in Electrical and Computer Engineering (Machine Learning and Data Science track) since 2019 Fall

Research experience

• UCSD, U.S.
  • Sept. 2018 - Mar. 2019: Research Assistant
    • Duties included:
      • Synthesized of stimuli-responsive hydrogels (pNIPAAm) with nanocomposites (GO/rGO, Au NPs)
      • Fabricated the rGO from GO in stimuli-responsive hydrogels (pNIPAAm) through UV-irradiation
      • Set up the new laboratory facilities from the scratch
    • Supervisor: Prof. Bae, Jinhye
  • Jan. 2018 - Mar. 2018: Lab Rotation
    • Duties included:
      • Fabricated Organic Photo-Diodes and Organic Thin-Film Transistors and analyzed their electrical properties
      • Studied the self-assembled monolayer (SAM) materials to protect the substrate
    • Supervisor: Prof. Ng, Tse Nga
  • Sept. 2017 - Dec. 2017: Lab Rotation
    • Duties included:
      • Analyzed the change of conductivity for MWCNT sprayed on the flexible substrate using Electrical Impedence Tomography
      • Implemented 3D-printing (Additive manufacturing) to fabricate the delicate structure
    • Supervisor: Prof. Loh, Kenneth
• KAIST, S.Korea
  • 2009 - 2011: Research Assistant
    • Duties included:
      • Fabricated High efficient Cu(In,Ga)Se₂ thin film solar cells by Na doping at low temperature using co-evaporator
      • Controlled 2nd phase of Cu to make large grains on Cu(In,Ga)Se₂ surface
      • Analyzed behaviors of elements in Cu(In,Ga)Se₂ absorber via Time Resolved-PhotoLuminescence
      • Verified potential Na sources among Na₂S, NaF, Soda-lime-glass
      • Analyzed and simulated for Ga/(In+Ga) ratio to modify the Eg
      • Achieved conversion efficiency of 18.5%p on Soda-lime-glass
    • Supervisor: Prof. Ahn, Byung Tae

Work experience

• 2011 - 2015: Researcher/Associate Researcher
  • Department of PV Research, Green Energy Division, Hyundai Heavy Industries, S.Korea
  • Duties included:
    • Thin-films deposition and defects/passivaiton analysis
    • High-efficient p/n-type c-Si solar cells fabrication in the industrial-level (verified at Fraunhofer ISE CalLab, 6-inch wafers)
    • Achieved conversion efficiency of 21.18%p (180um-thick) with n-type rear juction PERT solar cells in 2014
    • Achieved conversion efficiency of 21.22%p (180um-thick) with p-type PERC solar cells in 2014
    • 5 patents (including pending), 10 publications (including proceeding)
  • Supervisor: Dr. Lee, Kyumin
• 2008(Summer): Intern (National Internship program)
  • Photovoltaic Laboratory/Advanced Materials and Device Laboratory, Korea Institute of Energy Research (KIER), S.Korea
  • Duties included:
    • Analysis of impurities and refinement of raw silicon to obtain the cheap silicon ingot
    • Making the silica and alumina having high purity and well-uniformed particles
  • Supervisor: Dr. Yoon, Kyung Hoon / Dr. Kim, Joon-Soo

Skills

• Google TensorFlow Developer Certificate, 2020
• Software
  • Language: Python, Matlab, C++, CUDA
  • ML framework/packages: TensorFlow(2.x), PyTorch, Scikit-learn, wandb
  • Web-development
    • Front-end: Django, HTML, CSS, FlexBox, JavaScript(ES6), React, Antd, React-Router, Postman
    • Back-end: Node.js, MongoDB, MySQL, AWS EC2, Kubernetes
    • Mobile application: React Native, React Navigation, Expo, ngrok
  • Drawing: Rhino-Vray(3D), Libre Office Draw(2D)
  • PV-Simulation: PC1D
  • Data plotting/Statistical analysis tool: ORIGIN, Veusz, MiniTab
• PECVD maintenance for high level from Centrotherm Photovoltaic AG, 2014
• Plasma Technology from Semiconductor Equipment Technology Education Center in Korea University of Technology and Education, 2012

Machine Learning and Data Science Courses | UCSD, U.S.

• Please see the Porfolio page describing the project/lab of each class.
  • ECE: Electrical and Computer Engineering, CSE: Computer Science and Engineering, COGS: Cognitive Science, NANO: Nanoengineering

  Quarter	Course name	Department
  FA19	Programming for Data Analysis	ECE 143
  FA19	Probability of Statistics for Data Science	ECE 225A
  FA19	Statistical Learning I	ECE 271A
  WI20	Learning Algorithms: Machine Learning	CSE 250B
  WI20	Linear Algebra	ECE 269
  WI20	Statistical Learning II	ECE 271B
  SP20	Image Recognition	COGS 225
  SP20	Machine Learning for Physical Applications	ECE 228
  SP20	Deep Learning and Applications	ECE 271C
  FA20	Data Science in Materials Science	NANO 281
  FA20	AI Seminar	CSE 259
  FA20	GPU Programming	ECE 277
  FA20	Seminar/Current ECE Research	ECE 290

TA/Grader | UCSD, U.S.

• Grader
  • WI21_MAE 11: Thermodynamics
  • FA20_MAE 11: Thermodynamics
  • SP20_MAE 131A: Solid Mechanics 1
  • SP20_MAE 30B: Dynamics and Vibrations
  • WI20_MAE 131B: Solid Mechanics 2
  • WI20_MAE 30A: Kinematics
  • SP19_MAE 130B: Mechanics 2(Dynamics)
• TA
  • SP21_CENG 101B: Heat Transfer
  • WI18_ECE 134: Electronic Materials of Circuits

Honors and Awards

• UCSD MSE Graduate Program Scholarship, UCSD US, 2017-2018
• Hackers Academia Studying Abroad Graduate Program Scholarship, Hackers Academia Institute, S.Korea, 2017
• 6-Sigma Green Belt, Hyundai Heavy Industries, S.Korea, 2012
  • Award given to a researcher who is highly creative in solving problems
• Outstanding Employee Award, Hyundai Heavy Industries, S.Korea, 2011
  • Award given to an employee with an outstanding performance level
• National Science and Technology Graduate Scholarship, Korea National Science Foundation, S.Korea, 2009-2011
• KAIST Undergraduate Scholarship, KAIST, S.Korea, 2004-2008