Our Faculty

Sung-Hyuk Cha

Professor

Seidenberg School of CSIS

Computer Science NY

Location
  • @New York City
    318
Office Hours
New York City

Tue 4:00pm-5:30pm

Wed 2:00pm-5:30pm

Education


PhD , State University of New York at Buffalo , 2001
Computer Science

MS , Rutgers University , 1996
Computer Science

BS , Rutgers University , 1994
Computer Science

Awards and Honors

  • Center for Community Outreach, - Faculty Leadership Award
  • Pace University, December 5, 2019 - Provosts Open Educational Resource Grant 2019 ∼ 2020

Publications


Li, S., Cha, S. & Tappert, C. (2018, October (4th Quarter/Autumn) 22). Biometric Distinctiveness of Brain Signals Based on EEG.

Cha, S. (2016, June 2). Minimising Branch Crossings in Phylogenetic Trees. International Journal of Applied Pattern Recognition. Vol 3 (Issue 1) , pages 22-37. http://www.inderscienceonline.com/doi/abs/10.1504/IJAPR.2016.076982

Cha, S., Ducasse, E., Quintas, L. V., Kravette, K. & Mendoza, D. M. (2015, December 01). A Graph Model Related to Chemistry: Conversion of Methane to Higher Alkanes. International Journal of Chemical Modeling. Vol 7 (Issue 1) , pages 17-29. http://https://www.novapublishers.com/catalog/product_info.php?products_id=54040

Cha, S., Ducasse, E., Quintas, L. V., Kravette, K. J. & Mendoza, D. M. (2015, December 01). Graph theory and the conversion of methane to higher order alkanes. Congressus Numerantium. Vol 224 , pages 75-90.

Cha, S., Ducasse, E., Kravette, K. J., Quintas, L. V. & Shor, J. P. (2015, December 01). Graphs whose vertices are forests with bounded degree: Open Problems. International Journal Graph Theory and Its Applications. Vol 1 (Issue 2) , pages 123-129. http://www.mililink.com/upload/article/903485702IJGTA%20v1i2%20123-129.pdf

Cha, S., Ducasse, E., Quintas, L. V. & Shor, J. P. (2015, December 01). Graphs whose vertices are forests with bounded degree: Planarity. Bulletin of the Institute of Combinatorics and its Applications. http://bkocay.cs.umanitoba.ca/ICA

PRESENTATIONS


Cha, S. (2019, December 6). Machine Intelligence Day. Topics in Dichotomy Transformation Model for Biometric Systems. Pace University Seidenberg school, New York NY

Cha, S. (2019, May 2). 7th International Workshop on Biometrics and Forensics. Feature Extraction based on High Order Statistics measures and Entropy for EEG biometrics. IEEE, Cancun, Mexico

Cha, S. (2019, February). 3rd International Conference on Machine Vision and Information Technology. Feature Extraction Method for EEG based Biometrics. Guangzhou, China

Cha, S. (2018, October 22). 29th IEEE International Conference on Biometrics: Theory, Applications, and Systems. Biometric Distinctiveness of Brain Signal Based on EEG. IEEE, Los Angeles, California

Cha, S. (2017, May 15). 30th International FLAIRS Conference. On ROC Curve Analysis of Artificial Neural Network Classifiers. AAAI, Marco Island, Florida

Cha, S. (2016, April 30). 25th Northeast Regional Conference. Visualizing Phylogenetic Trees. KSEA, Crowne Plaza Englewood, NJ

Sharif, R. (2015, November 07). Graph Theory Day Seventy. Deletable Prime Graphs in Dierent Radix Number Systems. The Metropolitan New York Section of The Mathematical Association of America, Pace university

Cha, S. (2015, November 07). Graph Theory Day Seventy. On Extended Vertex Cover, Clique, and Independent Set Problems. The Metropolitan New York Section of The Mathematical Association of America, Pace university

RESEARCH INTEREST


Document Analysis; Pattern Recognition & Machine Intelligence & Data Mining; Distance Measures & Pattern Matching Algorithm;

Grants, Sponsored Research and Contracts

PROFESSIONAL MEMBERSHIPS

  • AAAI (Assoc. for the Advancement of Artificial Intelligence) [Member]
  • IEEE [Member]
  • IEEE, Computer Society [Member]
  • IGS [Member]
  • IS&T [Member]
  • Korean PACS Society [Member]
  • Pattern Recognition Society [Member]
  • SPIE [Member]
  • Korean-American Scientist and Engineer Association [Council member] , September 01 , 2003

COLLEGE SERVICE

  • Machine Intelligence Day 2019 [Committee Chair]
    Desc: Organized the Machine Intelligence Day 2019 and edited the Proceedings.
    Committee's Key Accomplishments: Organized the Machine Intelligence Day 2019 and edited the Proceedings.
  • Pace University, Computer Science & Information Systems [Other]
    Desc: Member of the Cirriculum Committee
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