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Profile Details
Contact
★★★★★
☆☆☆☆☆
USD 100 /hr
Hire Dr. Kyongsik Yun
United States
USD 100 /hr

Machine learning technologist & data scientist previously co-founder of two medical device & signal processing companies

Profile Summary
Subject Matter Expertise
Services
Scientific consulting Technical consulting, Idea discussion, Product design, Market research, Data analytics, Marketing & communication, Survey/study, Feasibility study
Product development Formulation & development, Product feedback, Regulatory compliance
Scientific writing White paper, Grant proposal, Journal article, Review article
Data science & analysis Simple data analysis, Complex data analysis, Statistical analysis, Algorithm design, Predictive modelling, Product design & development, Data visualization, Data processing, Data insights, Statistical review of research data
Work Experience

Technologist

NASA Jet Propulsion Laboratory

2015 - Present

Postdoctoral Scholar

California Institute of Technology

2010 - 2012

Education

PhD (Bioengineering)

Korea Advanced Institute of Science and Technology

2006 - 2010

BS (Bioengineering)

Korea Advanced Institute of Science and Technology

2002 - 2006

Certifications
  • Certification details not provided.
Publications
JOURNAL ARTICLE
Kyongsik Yun, Jaekyu Choi, In-Uk Song, Yong-An Chung(2019). Smartphone-Based Point-of-Care Cholesterol Blood Test Performance Evaluation Compared with a Clinical Diagnostic Laboratory Method . Applied Sciences. 9. (16). p. 3334. {MDPI} {AG}
Oh, J., Yun, K., Maoz, U., Kim, T.-S., Chae, J.-H.(2019). Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm . Journal of Affective Disorders. 257. p. 623-631.
Yun, K., Choi, J., Song, I.-U., Chung, Y.-A.(2019). Smartphone-based point-of-care cholesterol blood test performance evaluation compared with a clinical diagnostic laboratory method . Applied Sciences (Switzerland). 9. (16).
Kim, H., Kralik, J.D., Yun, K., Chung, Y.-A., Jeong, J.(2019). Neural Correlates of Public Apology Effectiveness . Frontiers in Human Neuroscience. 13.
Tavakoli, A.V., Yun, K.(2017). Transcranial alternating current stimulation (tACS) mechanisms and protocols . Frontiers in Cellular Neuroscience. 11.
Yun, K., Song, I.-U., Chung, Y.-A.(2016). Changes in cerebral glucose metabolism after 3 weeks of noninvasive electrical stimulation of mild cognitive impairment patients . Alzheimer's Research and Therapy. 8. (1). p. 1-9.
Park, S.A., Yun, K., Jeong, J.(2015). Reappraising abstract paintings after exposure to background information . PLoS ONE. 10. (5).
Lee, J., Yun, K.(2014). Alcohol reduces cross-frequency theta-phase gamma-amplitude coupling in resting electroencephalography . Alcoholism: Clinical and Experimental Research. 38. (3). p. 770-776.
Song, M., Shin, Y., Yun, K.(2014). Beta-frequency EEG activity increased during transcranial direct current stimulation . NeuroReport. 25. (18). p. 1433-1436.
Chung, D., Yun, K., Jeong, J.(2014). Decoding covert motivations of free riding and cooperation from multi-feature pattern analysis of EEG signals . Social Cognitive and Affective Neuroscience. 10. (9). p. 1210-1218.
Chib, V.S., Yun, K., Takahashi, H., Shimojo, S.(2013). Noninvasive remote activation of the ventral midbrain by transcranial direct current stimulation of prefrontal cortex . Translational Psychiatry. 3.
Yun, K.(2013). On the same wavelength: Face-to-face communication increases interpersonal neural synchronization . Annals of Internal Medicine. 158. (6). p. 5081-5082.
Yun, K., Park, H.-K., Kwon, D.-H., Kim, Y.-T., Cho, S.-N., Cho, H.-J., Peterson, B.S., Jeong, J.(2012). Decreased cortical complexity in methamphetamine abusers . Psychiatry Research - Neuroimaging. 201. (3). p. 226-232.
Yun, K., Watanabe, K., Shimojo, S.(2012). Interpersonal body and neural synchronization as a marker of implicit social interaction . Scientific Reports. 2.
Kim, S.-P., Kang, J.-H., Choe, S.-H., Jeong, J.W., Kim, H.T., Yun, K., Jeong, J., Lee, S.-H.(2012). Modulation of theta phase synchronization in the human electroencephalogram during a recognition memory task . NeuroReport. 23. (11). p. 637-641.
Yun, K., Chung, D., Jang, B., Kim, J.H., Jeong, J.(2011). Mathematically gifted adolescents have deficiencies in social valuation and mentalization . PLoS ONE. 6. (4).
Chung, D., Yun, K., Kim, J.H., Jang, B., Jeong, J.(2011). Different gain/loss sensitivity and social adaptation ability in gifted adolescents during a public goods game . PLoS ONE. 6. (2).
CONFERENCE PAPER
Yun, K., Yu, K., Osborne, J., Eldin, S., Nguyen, L., Huyen, A., Lu, T.(2019). Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks . Proceedings of SPIE - The International Society for Optical Engineering. 10995.
Yun, K., Nguyen, L., Nguyen, T., Kim, D., Eldin, S., Huyen, A., Lu, T., Chow, E.(2019). Small target detection for search and rescue operations using distributed deep learning and synthetic data generation . Proceedings of SPIE - The International Society for Optical Engineering. 10995.
Yun, K., Osborne, J., Lee, M., Lu, T., Chow, E.(2018). Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model . Proceedings of SPIE - The International Society for Optical Engineering. 10652.
Yun, K., Lu, T., Chow, E.(2018). Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks . Proceedings of SPIE - The International Society for Optical Engineering. 10649.
Yun, K., Bustos, J., Lu, T.(2018). Predicting rapid fire growth (flashover) using conditional generative adversarial networks . IS and T International Symposium on Electronic Imaging Science and Technology. p. 2751-2757.
Yun, K., Stoica, A.(2017). Improved target recognition response using collaborative brain-computer interfaces . 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. p. 2220-2223.
BOOK CHAPTER
Yun, K., Huyen, A., Lu, T.(2018). Deep neural networks for pattern recognition . Advances in Pattern Recognition Research. p. 49-79.