BIOGRAPHY


I am a senior 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, bio-security, and mobile sensing related topics.

My study on "A Screening Approach to Autism Spectrum Disorders " is reported by more than 50 public media outlets, including UPI, New York Daily News, AutismGazette, Breakingnewsmag, KoreaDaily, YTN. [Read More]

Kun Woo Cho

Address: Davis Hall 340
Email: kunwooch@buffalo.edu
Phone: 716-445-7351

HONORS AND AWARDS

  • Dean's List

  • University Honors Program

  • International Merit Scholarship

  • Barbara & Jack Davis Dean's Scholarship

  • SUNY STEM Research Passport Award

  • CURCA Undergraduate Research Awards

  • CURCA Ambassador

  • UB Undergraduate Research and Scholarship Award of Distinction

  • Honors College Scholarship

  • Grace Hopper Celebration of Women in Computing (GHC) Scholarship

PREVIOUS EXPERIENCES

PUBLICATIONS

  • 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, Zhanpeng Jin, Wenyao Xu, Anonymous submission, under review by IEEE Symposium on Security and Privacy (S&P’18), San Francisco, CA, May 2018 (15 pages)

  • Kun Woo Cho, Feng Lin, Chen Song, Xiaowei Xu, Michelle Hartley-McAndrew, Kathy Doody, Wenyao Xu, under preparation for Elsevier International Journal of Human- Computer Studies (11 pages)

PRESENTATIONS

  • Undergraduate Cambridge Scholars Symposium, University of Cambridge, August 2017 [ppt]

  • IEEE Conference on Wireless Health, National Institutes of Health (NIH), Bethesda, MD, "Gaze-Wasserstein: A Quantitative Screening Approach to Autism Spectrum Disorders", October 2016 [poster] [ppt]

  • 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]

  • Celebration of Academic Excellence, State University of New York at Buffalo, Buffalo, NY, April 2016, 2017

  • SURC Undergraduate Conference, Cobleskill, Fredonia, April 2016, 2017

  • American Chemistry Society Conference, New Haven Hotel, New Haven, CT "Forensic Investigation of Perfume Residues on Fabric Samples by Gas Chromatography", December 2013 [ppt]

RESEARCH PROJECTS


University of Cambridge, The Computer Laboratory,
June 2017 - August 2017

Research intern

  • Mobile Phones based Adaptive Platform for Social Psychology Research

    • Android app development to track the emotional states of the user via voice analysis.

    • Employment of an adaptive duty cycle and optimization techniques, such as a selective signal recognition and similarity detection, to improve an energy-efficiency of the system.


SUNY Buffalo, Department of Computer Engineering,
September 2015 - Present

Research intern

  • Electroencephalogram (EEG)-based Personal Identification Using Mallows Distance

    • Development of an automatic EEG-based identification system by modeling EEG activity as a distribution and utilizing stochastic metrics (MD) for dissimilarity measure.

    • Performance comparison of statistical feature extraction methods, such as dynamic time warping (DWT) and fast Fourier transform (FFT).

  • Early Screening Approach to Autism Spectrum Disorder Using Discrete Gaze Pattern

    • Development of an objective and wireless gaze-based ASD screening system, named Gaze-Wasserstein, which comprises a gaze-tracking system and novel dissimilarity measure.

    • Algorithmic modification of Wasserstein metric for ASD screening applications.

    • Stimuli design to elicit atypical gaze behaviors of children with ASD using social scenes. Further, we explored several improvements by employing facial emotion recognition (FER) deficit of children with ASD for stimuli design.

    • Investigation of the effect of image blurriness on fixation consistency of children with ASD.

  • Early Childhood Education Through Cyber-learning

    • Programming to simulate children's touch motions on the tablet.

    • Development of the recognition system for page flipping and hotspot touch motions in children's eBooks.


National Science Foundation (NSF) REU Program,
May 2016 - August 2016

Research intern

  • Personal Authentication for Headwear Computers through Neurofeedback

    • Study of a new psychophysiological protocol for secure and usable user authentication of smart headwear via a non-volitional event-related potential (ERP).

    • Investigation of the method to generate ERP biosignals and to acquire and analyze unique features in ERP biosignals.

    • Visual stimuli design for head-mounted device (HMD) applications.

  • A Wearable Sensor Acoustic and Visual System for Food Intake Recognition

    • 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 STEM Research Passport Program,
July 2015 - September 2015

Research intern

  • Thermal Handprint-based Personal Identification Using Heat-Earth Mover's Distance (HEMD)

    • Development of a forensic identification system that incorporates thermal handprints and novel distance metrics, Heat-Earth Mover's Distance (HEMD), that is designed specifically for thermal handprint recognition.

    • Investigation of effects of surface emissivity on the duration of thermal handprints.


Buffalo State College, Department of Chemistry,
July 2013 - December 2013

Research intern

  • Forensic Investigation of Perfume Residues on Fabric Samples by Gas Chromatography

    • Identification of perfume residues by qualitatively analyzing the total number of chemical components and quantitatively inspecting the amount of each component using gas chromatography (GC).

    • Experimentation on the duration of perfume components on different fabric samples.

TEACHING EXPERIENCES

Teaching Assistant

  • CSE101 Computers a General Introduction (Fall 2016)

  • CSE113 Introduction to Computer Programming (Fall 2016, Spring 2017)