I am a junior in Computer Engineering and research intern in the Department of Computer Science and Engineering at the State University of New York at Buffalo, under the direction of Prof. Wenyao Xu at the Embedded Sensing and Computing (ESC) Lab.
My research interests focus on biometrics-based personal identification and security.
Kun Woo Cho, Feng Lin, Chen Song, Xiaowei Xu, Fuxing Gu, Wenyao Xu, "Thermal Handprint
Analysis for Forensic Identification using Heat-Earth Mover's Distance", IEEE International
Conference on Identity, Security and Behavior Analysis (ISBA'16), Sendai, Japan, February 2016 (8 pages) [Link]
Kun Woo Cho, Feng Lin, Chen Song, Xiaowei Xu, Michelle Hartley-McAndrew, Kathy Ralabate Doody, Wenyao Xu, "Gaze-Wasserstein: A Quantitative Screening Approach to Autism Spectrum Disorders", IEEE
Conference on Wireless Health (WH'16), Bethesda, MD, October 2016 (8 pages) [Link]
Full Paper Acceptance Rate: 18.2%
Tri Vu, Hoan Tran, Kun Woo Cho, Chen Song, Feng Lin, Michelle Hartley-McAndrew, Kathy Doody, Chang Wen Chen, Wenyao Xu, "Efficient and Effective Visual Stimuli Design for Quantitative Autism Screening: An Exploratory Study", IEEE
International Conference on Biomedical and Health Informatics (BHI'17), Orlando, Florida, February 2017 (4 pages) [Link]
Kun Woo Cho, Feng Lin, Chen Song, Xiaowei Xu, Michelle Hartley-McAndrew, Kathy Doody, Wenyao Xu, "Exploring Effective Social Stimuli for the Practical Autism Screening: a Quantitative Study",
under review by IEEE Transactions on Affective Computing (11 pages)
American Chemistry Society Conference, New Haven Hotel, New Haven, CT "Forensic Investigation of Perfume Residues on Fabric Samples by Gas Chromatography", December 2013
IEEE International Conference on Identity, Security and Behavior Analysis, Tohoku University, Sendai, Japan, "Thermal Handprint Analysis for Forensic Identification using Heat-Earth Mover's Distance", February 2016 [poster][ppt]
IEEE Conference on Wireless Health, National Institutes of Health, Bethesda, MD, "Gaze-Wasserstein: A Quantitative Screening Approach to Autism Spectrum Disorders", October 2016 [ppt]
SURC Undergraduate Conference, State University of New York at Cobleskill, Cobleskill, NY, April 2016
Celebration of Academic Excellence, State University of New York at Buffalo, Buffalo, NY, April 2016
Buffalo State College, Department of Chemistry, July 2013 - December 2013
Forensic Investigation of Perfume Residues on Fabric Samples by Gas Chromatography
Identified perfumes by analyzing the quantitative number of chemical components.
Determined how long perfume components remain on fabric samples.
Extracted residue using ethanol and analyze sample by gas chromatography.
SUNY STEM Research Passport Program, July 2015 - September 2015
Thermal Handprint-based Personal Identification Using Heat-Earth Mover's Distance (HEMD)
Proposed a novel thermal handprint dissimilarity measure, called Heat-Earth Mover's Distance (HEMD).
Designed the system to classify heat-based handprints that can be obtained even with the gloves on.
Investigated the effect of emissivity of various surfaces on the duration of thermal handprints.
SUNY Buffalo, Department of Computer Engineering, September 2015 - May 2016
Electroencephalogram (EEG)-based Personal Identification Using Mallows distance
Developed an automatic EEG-based identification system by modeling EEG data as a distribution.
Employed stochastic distance for similarity measure that is known to be robust to signal noises.
Used discrete wavelet transform (DWT) and fast Fourier transform (FFT) for features.
Early Screening Approach to Autism Spectrum Disorder Using Discrete Gaze Pattern
Developed new Autism Spectrum Disorder screening method, Gaze-Wasserstein, which utilizes 1st Wasserstein distance for dissimilarity measure between gaze distributions.
Conducted a pilot study with 32 child participants.
Investigated the impact of visual stimulus type on the performance of Gaze-Wasserstein.
National Science Foundation (NSF) REU Program, May 2016 - August 2016
Event-Related Potentials (ERP) based Personal Authentication for Eyewear Computers
Developing an ERP-based personal identification system using only five EEG channels.
Conducting a pilot study with several adult participants.
A Wearable Sensor Acoustic and Visual System for Food Intake Recognition
Devised the improvement for embedded hardware system in a sensor necklace that non-invasively and continuously monitors and recognizes food intakes in daily life when a user wears it on his neck.
SUNY Buffalo, Department of Computer Engineering, August 2016 - Present
Early Childhood Education Through Cyber-learning
Wrote the computer codes to simulate user's touch motions on the tablet.
Developed a detector, which recognizes the page flipping motion and counts the number of touches at certain hotspots
CSE101 Computers a General Introduction (Fall 2016)
CSE113 Introduction to Computer Programming (Fall 2016, Spring 2017)