People

Principal Investigator


Yoon, Young-Gyu [Google Scholar] ygyoon at kaist.ac.kr

Principal Investigator


Education
Ph. D. in EECS, MIT, 2018
M.S. in EE, KAIST, 2009
B.S. in EE, KAIST, 2007

Positions
Assistant professor, KAIST, 2018 - present
Postdoctoral associate, MIT, 2018
Research engineer, KAIST Institute, 2009 - 2012

Awards
Samsung Scholarship, 2012
IEEE CAS Guillemon-Cauer Best Paper Award, 2009
Topped the list at academic achievement test (Mathematics, Physics) among all freshmen of KAIST, 2003

Short Biography
Young-Gyu Yoon is an assistant professor of electrical engineering at KAIST and he holds a joint appointment in KAIST Institute for Health Science & Technology (KI HST). He is the leader of the KAIST Neuro-Instrumentation and Computational Analysis lab, an interdisciplinary research group focused on advancing neurotechnology, optical imaging, and computing.

He received the B.S. and M.S. degrees in EE from KAIST, Daejeon, Korea, in 2007 and 2009, respectively, and the Ph.D. degree in EECS from the Massachusetts Institute of Technology, Cambridge, MA, in 2018. He received the 2009 IEEE Transactions on Circuits and Systems Guillemon-Cauer Best Paper Award for his work at professor SeongHwan Cho's group on mixed-signal CMOS circuit design. For his doctoral study at professor Ed Boyden's group, he developed optical and computational tools for imaging and analyzing brain circuits. After his Ph.D. study, he briefly worked as a postdoctoral associate at MIT.

Graduate students


Cho, Eun-Seo

Ph.D. student

Research area

Optical imaging of brain activity

Computational analysis of brain activity


Education
M.S. in EE, KAIST, 2021
B.S. in BME, Hanynang Univ., 2018

E-mail: eunseo.cho at kaist.ac.kr

Website: https://bienseo.wixsite.com/eunseocho

Short Biography

Eun-Seo received his bachelor's degree in Biomedical Engineering from Hanyang University and his master’s degree in Electrical Engineering from KAIST. Currently, he is a Ph.D. student in NICA lab and he works on developing novel optical imaging systems to image the neural activity of the entire brain with high spatial and temporal resolutions.

Publications

  • S. Han, E.-S. Cho, I. Park, K. Shin, Y.-G. Yoon. Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. (accepted)

  • C. Shin*, H. Ryu*, E.-S. Cho, Y.-G. Yoon. RLP-Net: A Recursive Light Propagation Network for 3-D Virtual Refocusing, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. (accepted) (*co-first authors)


Han, Seungjae

Ph.D. student

Research area

Optical imaging of brain activity

Computational analysis of brain activity


Education

B.S. in SIT, Yonsei Univ., 2020

E-mail: jay0118 at kaist.ac.kr

Website: https://stevejayh.github.io/

Short Biography

Seungjae is a Ph.D. student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. He received his bachelor's degree in Integrated Technology from Yonsei University. He is developing novel methods to acquire and analyze calcium imaging data.

Publications

  • S. Han, E.-S. Cho, I. Park, K. Shin, Y.-G. Yoon. Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. (accepted)


Cho, Junmo

M.S. student

Research area

Computational analysis of brain structure

Computational analysis of brain activity


Education

B.S. in EE&CS (Minor Math), KAIST, 2020

E-mail: junmokane at kaist.ac.kr

Website:

Short Biography

Junmo is a master student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. He received his bachelor's degrees in Electrical Engineering and Computer Science at KAIST. His research mainly focuses on implementing bio-inspired AI using deep reinforcement learning. He is also developing neural networks for analyzing calcium imaging data.

Publications


Shin, Changyeop

M.S. student

Research area

Computational analysis of brain structure

Computational analysis of brain activity


Education

B.S. in EECS, GIST, 2017

E-mail: scey26 at kaist.ac.kr

Website:

Short Biography

Changyeop is a master student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST, supervised by prof. Young-Gyu Yoon. He received his bachelor’s degree in Electrical Engineering and Computer Science from GIST in 2017. He was a research officer of national defense at Agency for Defense Development (ADD) in 2017 - 2020. His current research interests include biomedical image computing and machine learning with a focus on image reconstruction and domain adaptation.

Publications

  • C. Shin*, H. Ryu*, E.-S. Cho, Y.-G. Yoon. RLP-Net: A Recursive Light Propagation Network for 3-D Virtual Refocusing, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. (accepted) (*co-first authors)


Eom, Minho

M.S. student

Research area

Computational analysis of brain structure

Computational analysis of brain activity


Education

B.S. in CS&EE, KAIST, 2021

E-mail: djaalsgh159 at kaist.ac.kr

Website: https://www.minhoeom.com/

Short Biography

Minho Eom is a graduate student in the School of Electrical Engineering at KAIST, and a researcher in Neuro-Instrumentation & Computational Analysis (NICA) lab. His research in computational neuroscience focuses on discovering the mechanism of a brain function: computational analysis of neuronal data, processing of neuronal images, and implementing neuro-instruments. He received his B.S. degrees in Computer Science and Electrical Engineering from KAIST, 2021.

Publications


Kim, Gyuri

M.S. student

Research area

Optical imaging of brain activity

Computational analysis of brain activity

Education

B.S. in EE, DGIST, 2021

E-mail: gyuri2102 at kaist.ac.kr

Website:

Short Biography

Gyuri is a master student in Neuro-Instrumentation & Computational Analysis (NICA) lab at KAIST. She received her bachelor's degrees in School of Undergraduate Studies (major in Electrical Engineering) at DGIST.

Publications

Undergraduate students


Lee, Seyeon

B.S. student

Research area

Computational analysis of brain structure

Education

Majoring in EE, KAIST


Kim, Eunsu

B.S. student

Research area

Computational analysis of brain structure

Education

Majoring in EE, KAIST


Bae, Jeongin

B.S. student

Research area

Computational analysis of brain structure

Education

Majoring in CS&EE, KAIST


Yi, Euiin

B.S. student

Research area

Computational analysis of brain structure

Education

Majoring in EE, KAIST


Jeon, Minsik

B.S. student

Research area

Computational analysis of brain structure

Education

Majoring in CS&EE, KAIST


Lee, Sanghun

B.S. student

Research area

Computational analysis of brain structure

Education

Majoring in EE, KAIST

Alumni: graduate students


Kang, Woosuk

M.S.

Research area

Optical imaging of brain activity

Computational analysis of brain activity

Education

M.S. in EE, KAIST, 2021

B.S. in EE, KAIST, 2019

Alumni: undergraduate students

Jeon, Jiwon

(Spring-Summer 2019)

Jeon, Sang Eon
(Spring 2020)

Jeong, Jaewon
(Summer 2020)

Nam, Seo Yeon

(Summer 2020)

Jung, Hohurn
(Summer 2020)

Park, Gyutae
(Fall 2020)

Lee, Inhee

(Fall 2020)

Lee, Chang Sun
(Summer-Winter 2020)

Lee, Jeongwon
(Winter 2020-Spring 2021)

Cho, Eun Yeong

(Winter 2020-Spring 2021)

Ryu, Hyun
(Spring 2020-Summer 2021)

Suh, Teokkyu
(Spring 2021-Summer 2021)