이창혁, Changhyuk Lee
EDUCATION
Ph.D. Department of Electrical and Computer Engineering, Cornell University (2014)
B.S. Department of Electrical and Computer Engineering, Korea University (2005)
Senior Research Scientist, Center for BioMicrosystems, Brain Science Institute, Korea Institute of Science and Technology (KIST) (Jan 2018 – Present)
Postdoc Research Associate, Electrical and Engineering, Columbia University, New York, NY, USA (Sept 2015 – Jan 2018)
Postdoc Research Associate, Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA (Sept 2014 – Aug 2015)
Research Assistant, Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA (August 2008 – August 2014)
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CMOS Integrated Circuit
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Neuromorphic & Deep learning Accelerator
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System neuroscience, behavioral neuroscience
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Namsun Chou, Hyogeun Shin, Kanghwan Kim, Uikyu Chae, Minsu Jang, Ui-Jin Jeong, Kyeong-Seob Hwang, Bumjun Yi, Seung Eun Lee, Jiwan Woo, Yakdol Cho, Changhyuk Lee, Bradley J. Baker, Soo-Jin Oh, Min-Ho Nam, Nakwon Choi, Il-Joo Cho, “A Multimodal Multi-Shank Fluorescence Neural Probe for Cell-Type-Specific Electrophysiology in Multiple Regions across a Neural Circuit”, Advanced Science (2021), (accepted)
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Adriaan Taal, Changhyuk Lee, Jaebin Choi, Björn Hellenkamp, Kenneth Shepard, “Toward implantable devices for angle-sensitive, lens-less, multi-fluorescent, single-photon lifetime imaging in the brain using Fabry-Perot and absorptive color filters”, Light Sci Appl (2021), (accepted)
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Soyoung Park, Changhyuk Lee, “Design and Analysis of Angle-sensitive Pixels for Near-infrared Imaging”, IEEE Photonics Conference (IPC), Oct, 2021
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Moreaux, Laurent C., Dimitri Yatsenko, Wesley D. Sacher, Jaebin Choi, Changhyuk Lee, Nicole J. Kubat, R. James Cotton et al. “Integrated neurophotonics: toward dense volumetric interrogation of brain circuit activity—at depth and in real-time.” Neuron 108, no. 1 (2020): 66-92
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Lee, Yijae*, Changhyuk Lee*, Eun Jin Wang, Dmytro Kotov, Hee Youn Kim, Jeong Ho Hwang, Ki Hoon Ahn, and Soo Hyun Lee. “Non-Invasive Ring Electrode With a Wireless Electrical Recording and Stimulating System for Monitoring Preterm Labor.” IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) 28, no. 12 (2020): 2627-2636.
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C. Lee et al., “11.5 A 512-Pixel 3kHz-Frame-Rate Dual-Shank Lensless Filterless Single-Photon-Avalanche-Diode CMOS Neural Imaging Probe,” 2019 IEEE International Solid- State Circuits Conference – (ISSCC), San Francisco, CA, USA, 2019, pp. 198-200.