Kyun Kyu (Richard) Kim
Postdoctoral Research Fellow @ Stanford University (PI: Prof. Zhenan Bao)
Email: rikim@stanford.edu
Github: https://github.com/richkim92
My research focuses on advancing human-machine interaction by developing augmented electronic systems.
My work utilizes nanomaterials and fabrication techniques, and integrates them with machine intelligence for enhanced functionality for VR/AR and Healthcare applications.
Research Experience
Postdoctoral Research Fellow (2021.09-Present)
Bao Research (baogroup.stanford.edu), Prof.Zhenan Bao, Stanford University,
Postdoctoral Fellow (2021.03-2021.09)
Soft Robotics Research Center (SRRC, srrc.snu.ac.kr), Seoul National University, Seoul, Korea
Project: Skin-sensors combined with machine intelligence
Graduate Research Assistant (2014-2021)
ANTS lab, ants.snu.ac.kr, Advisor : Seung Hwan Ko, Seoul National University, Seoul, Korea
Projects:
-Soft neuromorphic electronics
-Deep-learned skin sensors
-Laser fabricated three-dimensional electronics
-Nano material synthesis (Nanowire, nanoparticles) and transparent electronics/sensors
Undergraduate Researcher (2012 – 2014)
Nanomaterial, Nanomanufacturing and Nanodevice Lab, Advisor: Chang Soo Han
Project: CNT, AgNW based highly stretchable electrode
Degree & Education
Ph.D. in Mechanical Engineering (2016 – March 2021)
Seoul National University, Seoul, Korea ANTS Lab (Advisor : Prof. Seung Hwan Ko)
(Thesis title: Augmented skin electronics for human-machine interaction based on laser nano structuring and machine intelligence)
M.S. in Mechanical Engineering (2014 – 2016)
Seoul National University, Seoul, Korea, ANTS Lab (Advisor : Prof. Seung Hwan Ko)
(Thesis : Highly Sensitive and Stretchable Multidimensional Strain Sensor)
B.S. in Mechanical Engineering (2010 – 2014)
Korea University, Seoul, Korea, Graduation with Great Honor
Daejeon Science High School, Daejeon, Korea (2008-2009)
One-year early graduation
Honor & Awards
- MIT Innovators Under 35, 2022, Korea (Link)
- Post-Doctoral Overseas Training Fellowship granted by National Foundation of Korea (Strategic Field: Intelligent Semiconductor/Advanced Materials)
- 2020 Outstanding Doctoral Dissertation Award, Seoul National University
- 2020 Seoul National University Youlchon AI Honorable Mention (top 10 entry)
- Naver AI gitHackerthon Competition 2019, Entered the top 40 entry
- OSA (The Optical Society) Best Student Paper Prize (3rd)
- Global PhD Fellowship 2017 granted by the National Research Foundation of Korea
- Scholarship for academic excellence, Mechanical Engineering, Korea University, 2010-2012
- 55th National Science Exhibition (participated by 1,720 teams Awarded the 1st Prize by the
President of South Korea, Lee M.B, 2009)
- V-th Asian Pacific Astronomy Olympiad, 2nd Prize medal, 2009
President of South Korea, Lee M.B, 2009)
Invited Talks
- Innovations in AI-Enhanced Soft Sensors for Gesture Recognition, System X Alliance, Stanford University, June 2023 (Link)
- Soft Electronics for Biosignal & Human Machine interface, Korea University Medical Center (KUMC), Department of Physiology, May 2023
- AI-enhanced electronic skin that rapidly reads hand tasks with limited data, Stanford University, Wearable Electronics Initiative (eWear), Jan 2023 (Link)
- Electronic skin with AI for Augmented Human-Machine Interface, POSTECH, Mechanical Engineering, December 2022
- Electronic skin with AI for Augmented Human-Machine Interface, KAIST, Bio and Brain Engineering, December 2022
- Electronic skin with AI for Augmented Human-Machine Interface, Yonsei University, Mechanical Engineering, December 2022
- Electronic skin with AI for Augmented Human-Machine Interface, Seoul National University, Mechanical Engineering, December 2022
- Augmented skin electronics for human-machine interaction based on laser nano structuring and machine intelligence, Korea Institute of Industrial Technology (KITECH), February 2021
Skills & Certificate
- Machine intelligence : Python, Pytorch, Tensorflow
- Development tools & Other Languages : CSS Studio, Cadence, COMSOL, C/C++ code composer studio, LabVIEW
- Certificate: * Certificate of LabVIEW course Programming certified by National Instruments (NI)
Weekly seminar in machine intelligence, with DSHS (2019.04~Present)
- 2019~ Reinforcement learning #1
- 2020~ Generative Deep learning
- 2020~ Reinforcement learning #2
- 2021~ Deep Multi-task learning
- 2021~ API processing
2019. Reinforcement Learning
2020. Naver AI gitHackerthon
2020~ Online after COVID outbreak
2019. Reinforcement Learning
2020. Naver AI gitHackerthon
2020~ Online after COVID outbreak