Kyongsik Yun is a technologist at the Jet Propulsion Laboratory, California Institute of Technology, and a senior member of the American Institute of Aeronautics and Astronautics (AIAA). His research focuses on building brain-inspired technologies and systems, including deep learning computer vision, natural language processing, brain-computer interfaces, and noninvasive remote neuromodulation. He received the JPL Explorer Award (2019) for scientific and technical excellence in machine learning applications. He also received the Marie Curie Fellowship for Neuroscience, the International Federation for Medical and Biological Engineering (IFMBE) Young Investigator Award, and the Society for Neuroscience (SfN) Hot Topic Award. In addition to his research, Kyongsik co-founded two biotechnology companies, Ybrain and BBB Technologies, that have raised $25 million in investment funding.

News

JPL TALENTS 2021

Featured as JPL TALENTS 2021 for the development of a soil composition estimation model

Multi-Agent Motion Planning using Deep Learning

Built a deep learning-based numerical model, demostrating superior computational efficiency of 1000X faster than the mathematical model counterpart (link)

GSAW Best Presentation Award 2019

Transforming Unstructured Data into Insight for Anomaly Detection in Exploration Ground Systems (slides)

JPL Explorer Award 2019

JPL Explorer Award for Scientific and Technical Excellence in Deploying New Technologies to Support Operations at KSC

Beer Goggles for Your Brain

Electronic zaps to the scalp make faces appear more attractive (link)

Seoul Digital Forum

This Wearable Can Help Cure Alzheimer's Disease (link)

Wearable for Alzheimer's Patients

Developed a brain signal processing/modulating platform and wearable brain healthcare device solution. Designed large-scale clinical trials for the Class III medical device.

Social Synchronicity

Research finds a connection between bonding and matched movements

Projects

Groundwater and land deformation models

Kyongsik Yun, Kyra Kim, Anshuman Pradhan, John Reager, Zhen Liu, Michael Turmon, Alexander Huyen, Thomas Lu, Venkat Chandrasekaran, Andrew Stuart, “Filling the gap: Estimation of soil composition using InSAR, groundwater depth, and precipitation data in California’s Central Valley”, AGU 2021

Anshuman Pradhan, Dillon Holder, Kyra Kim, Kyongsik Yun, Zhen Liu, John Reager, Michael Turmon, Venkat Chandrasekaran, Andrew Stuart, "Spatio-temporal Gaussian Process Modeling of Land Subsidence with Well Water Level and InSAR Data", AGU 2021

Deep Space Network time series compression, anomaly detection, and comparison

Kyongsik Yun, Rishi Verma, Umaa Rebbapragada, "Time Series Comparisons in Deep Space Network", AIAA-ASCEND 2021 (PDF)

Wildfire segmentation, tracking, and forecasting

Nicholas LaHaye, Kyongsik Yun, Huikyo Lee, Alex Goodman, Krzysztof Gorski, Michael J Garay, Olga Kalashnikova, "Identification of wildfires and smoke plumes using multi-sensor input and unsupervised and supervised machine learning for improved spatiotemporal coverage and facilitation of automated tracking", AGU 2021

Stavros, E. Natasha, Ali Agha, Allen Sirota, Marco Quadrelli, Kamak Ebadi, and Kyongsik Yun. "Smoke Sky--Exploring New Frontiers of Unmanned Aerial Systems for Wildland Fire Science and Applications." arXiv preprint arXiv:1911.08288 (2019). (PDF)

Multi-agent motion planning using deep learning

Jonathan Sabol, Kyongsik Yun, Muhammad Adil, Changrak Choi, "Machine Learning Based Relative Orbit Transfer for Formation Flying Swarms of Spacecraft", IEEE Aerospace 2022

Yun, Kyongsik, Changrak Choi, Ryan Alimo, Anthony Davis, Linda Forster, Amir Rahmani, Muhammad Adil, and Ramtin Madani. "Multi-Agent Motion Planning using Deep Learning for Space Applications." In ASCEND 2020, p. 4233. 2020. (LINK) (PDF)

Deep learning hardware acceleration

Yun, Kyongsik. "Accelerating autonomy in space using memory-centric architectures for deep neural networks." (2019). (PDF)

AI for first responders

Huyen, Alexander, Kyongsik Yun, Sky De Baun, Samuel Wiggins, Jessi Bustos, Thomas Lu, and Edward Chow. "Dynamic fire and smoke detection and classification for flashover prediction." In Pattern Recognition and Tracking XXXII, vol. 11735, p. 1173502. International Society for Optics and Photonics, 2021. (LINK)

Yun, Kyongsik, Thomas Lu, and Alexander Huyen. "Transforming unstructured voice and text data into insight for paramedic emergency service using recurrent and convolutional neural networks." In Pattern Recognition and Tracking XXXI, vol. 11400, p. 1140006. International Society for Optics and Photonics, 2020. (LINK)

Lu, Thomas, Alexander Huyen, Luan Nguyen, Joseph Osborne, Sarah Eldin, and Kyoungsik Yun. "Optimized training of deep neural network for image analysis using synthetic objects and augmented reality." In Pattern Recognition and Tracking XXX, vol. 10995, p. 109950I. International Society for Optics and Photonics, 2019. (LINK)

Yun, Kyongsik, Kevin Yu, Joseph Osborne, Sarah Eldin, Luan Nguyen, Alexander Huyen, and Thomas Lu. "Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks." In Pattern Recognition and Tracking XXX, vol. 10995, p. 1099502. International Society for Optics and Photonics, 2019. (LINK) (PDF)

Yun, Kyongsik, Luan Nguyen, Tuan Nguyen, Doyoung Kim, Sarah Eldin, Alexander Huyen, Thomas Lu, and Edward Chow. "Small target detection for search and rescue operations using distributed deep learning and synthetic data generation." In Pattern Recognition and Tracking XXX, vol. 10995, p. 1099507. International Society for Optics and Photonics, 2019. (LINK) (PDF)

Yun, Kyongsik, Alexander Huyen, and Thomas Lu. "Deep neural networks for pattern recognition." arXiv preprint arXiv:1809.09645 (2018). (PDF)

Yun, Kyongsik, Joseph Osborne, Madison Lee, Thomas Lu, and Edward Chow. "Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model." In Disruptive Technologies in Information Sciences, vol. 10652, p. 1065202. International Society for Optics and Photonics, 2018. (LINK)

Yun, Kyongsik, Thomas Lu, and Edward Chow. "Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks." In Pattern Recognition and Tracking XXIX, vol. 10649, p. 106490T. International Society for Optics and Photonics, 2018. (LINK)

Yun, Kyongsik, Jessi Bustos, and Thomas Lu. "Predicting rapid fire growth (flashover) using conditional generative adversarial networks." Electronic Imaging 2018, no. 9 (2018): 127-1. (LINK)

Yun, Kyongsik. "AI for the future of first responders." (2017). (PDF)

Machine learning prediction and classification in medical data

Yun, Kyongsik, Jihoon Oh, Tae Ho Hong, and Eun Young Kim. "Prediction of Mortality in Surgical Intensive Care Unit Patients Using Machine Learning Algorithms." Frontiers in Medicine 8 (2021): 406. (LINK)

Yun, Kyongsik, Jeong Seok Lee, Eun Young Kim, Himanshu Chandra, Baek-Lok Oh, and Jihoon Oh. "Severe COVID-19 Illness: Risk Factors and Its Burden on Critical Care Resources." Frontiers in medicine 7 (2020): 767. (LINK)

Oh, Jihoon, Kyongsik Yun, Jeong-Ho Chae, and Tae-Suk Kim. "Association Between Macronutrients Intake and Depression in the United States and South Korea." Frontiers in psychiatry 11 (2020): 207. (LINK)

Oh, Jihoon, Baek-Lok Oh, Kyong-Uk Lee, Jeong-Ho Chae, and Kyongsik Yun. "Identifying schizophrenia using structural MRI with a deep learning algorithm." Frontiers in psychiatry 11 (2020): 16. (LINK)

Oh, Jihoon, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, and Jeong-Ho Chae. "Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm." Journal of affective disorders 257 (2019): 623-631. (LINK)

Oh, Jihoon, Kyongsik Yun, Ji-Hyun Hwang, and Jeong-Ho Chae. "Classification of suicide attempts through a machine learning algorithm based on multiple systemic psychiatric scales." Frontiers in psychiatry 8 (2017): 192. (LINK)

Neuropsychiatric disease treatment using neuromodulation

Tavakoli, Amir V., and Kyongsik Yun. "Transcranial alternating current stimulation (tACS) mechanisms and protocols." Frontiers in cellular neuroscience 11 (2017): 214. (LINK)

Kyongsik Yun, In-Uk Song, Yong An Chung, “Changes in cerebral glucose metabolism after 3 weeks of noninvasive electrical stimulation of mild cognitive impairment patients”, Alzheimer’s Research and Therapy, 2016 (LINK)

Myeongseop Song, Yungjae Shin, Kyongsik Yun, "Beta-frequency EEG activity increased during transcranial direct current stimulation." Neuroreport, 2014 (PDF)

Vikram Chib*, Kyongsik Yun*, Hidehiko Takahashi, Shinsuke Shimojo. Noninvasive Remote Activation of the Ventral Midbrain by Transcranial Direct Current Stimulation of Prefrontal Cortex, Translational Psychiatry, 2013 (LINK)

Neural signal processing

Yun, Kyongsik, Joydeep Bhattacharya, Simone Sandkühler, Yong-Jun Lin, Sunao Iwaki, and Shinsuke Shimojo. "Causally linking neural dominance to perceptual dominance in a multisensory conflict." NeuroReport 31, no. 13 (2020): 991-998. (LINK) (PDF)

Kim, Hoh, Jerald D. Kralik, Kyongsik Yun, Yong-an Chung, and Jaeseung Jeong. "Neural correlates of public apology effectiveness." Frontiers in human neuroscience 13 (2019): 229. (LINK)

Kyongsik Yun, Adrian Stoica, “Improved target recognition response using collaborative brain computer interfaces” IEEE SMC, 2016 (LINK)

Dongil Chung, Kyongsik Yun, Jaeseung Jeong, “Decoding covert motivations of free riding and cooperation from multi-feature pattern analysis of EEG signals” Social Cognitive and Affective Neuroscience, 2015 (LINK)

Lee, Jaewon, and Kyongsik Yun. "Alcohol Reduces Cross‐Frequency Theta‐Phase Gamma‐Amplitude Coupling in Resting Electroencephalography." Alcoholism: Clinical and Experimental Research 38, no. 3 (2014): 770-776. (LINK)

Kyongsik Yun, “On the same wavelength: face-to-face communication increases interpersonal neural synchronization” (2013) Journal of Neuroscience (LINK) (PDF)

Kyongsik Yun, Katsumi Watanabe, Shinsuke Shimojo, “Interpersonal body and neural synchronization as a marker of implicit social interaction” (2012) Scientific Reports (LINK)