Sung-Hyuk Cha

Sung-Hyuk Cha

Professor
Seidenberg School of CSIS
Computer Science NY

Sung-Hyuk Cha

NYC
228
163 William Street
| Office Hours: Wed, Fri 4:45pm-5:45pm,Tue, Thu 4:10pm-5:40pm

Biography

Awards and Honors

  • Center for Community Outreach, Faculty Leadership Award
  • Pace University, 2019, Provosts Open Educational Resource Grant 2019 ~ 2020

Education

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

MS, Rutgers University, 1996
Computer Science

BS, Rutgers University, 1994
Computer Science

Research and Creative Works

Research Interest

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

Courses Taught

Past Courses

CIS 101: Cmptrs & Environmental Science
CIS 101: Computers & Social Rspnsblty
CIS 101: Forensic Computing
CIS 101: Urban Environment
CIS 102: Prblm Solving Using LEGO Rbtcs
CIT 312: Introduction to Programming I
CIT 314: Introduction to Programming II
CS 113: Mathematical Structures for CS
CS 121: Computer Programming I
CS 122: Computer Programming II
CS 241: Data Structures/Algorithms
CS 241: Data Structures/Algorithms I
CS 242: Algorithms & Computing Theory
CS 325: Introduction to Data Mining
CS 326: Intro Cmptr Vision Pttrn Rcgtn
CS 361: Programming Lang/Implementatn
CS 397: Topic: Intro to Data Mining
CS 397: Topic: Robotics
CS 600: Indpndnt Study in Grad CS
CS 606: Fndmntl Cmptr Sci II with Java
CS 608: Algorithms & Computing Theory
CS 619: Data Mining
CS 631: Intro to Pattern Recognition
CS 631: Topic: Data Mining
CS 632: Topics: Machine Learning
CS 655: Pattern Recognition
CS 676: Algorithms for Data Science
CS 693: Thesis I
CS 694: Thesis II
CS 702: Research Seminar
CS 704: Independent Research
CS 755: Adv. Pattern Rgntn & Mach Lrng
CS 801: Advanced Algorithms
CS 802: Research Seminar
CS 804: Independent Research
CS 806: Dissertation Preparation
CS 855: Pattern Rcgntn & Machine Lrng
DCS 860: Tpcs in Emrgng Cmptr Tchnlgs
DCS 861: Topics in Data Mining
DCS 861: Tpc in Emerging Cmptr Tech II
DCS 891: Research Seminar
DCS 891: Research Seminar VI
DCS 990: Dissertation for DPS in Cmptng
DCS 991: Dssrttn for DPS in Cmptg II
IS 613: Database Management Systems
IS 664: Database Programming
IT 300: Computer Security Overview
IT 308: Computer Forensics
IT 605: Database Management Systems
IT 634: Introduction to Data Mining
IT 638: Intro to Pattern Recognition
IT 664: Computer and Internet Forensic
MAT 104: Finite Mathematics
MAT 117: Elementary Statistics

Publications and Presentations

Publications

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

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

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

Presentations

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

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

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

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

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

Professional Contributions and Service

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]

Department Service

  • Pace University, Computer Science & Information Systems [Pervasive Computing Lab]
  • Pace University, Computer Science & Information Systems [Robotics Lab]
  • Peer Observation [peer observation ]
  • Assessment Steering Committee [Committee Member]

College Service

  • Machine Intelligence Day 2019 Machine Intelligence Day 2019 [Committee Chair]

Professional Service

Graph Theory Day 70 Proceedings [Editor, Conference Proceedings]