Academic Experience

2021 - Present

Associate Professor of Computer Science (Tenured), Essex County College, NJ

2008 - 2010

Visiting Assistant Professor of Computer Science, Fairleigh Dickinson University, NJ

INDUSTRY ExperiencE

2000 - 2002

Data Warehouse Specialist, Computing Division, Kookmin Bank, South Korea

Education

2008

Ph.D. in Computer Science, New Jersey Institute of Technology, Newark, NJ

Thesis: Ontology Learning for the Semantic Deep Web

2004

Master of Science (M.S.) in Computer Science, New Jersey Institute of Technology, Newark, NJ

1993

Bachelor of Education (B.Ed.), Teachers College, Kookmin University, South Korea

Contact

2025-present

Principle Investigator(PI) of Sub Award, “Pilot Projects for Career and Technical Education (CTE) Students: Virtual Reality and Augmented Reality,” NJ Depart of Education FY17 Perkins Career and Technical Education Program.

2020-2021

Principle Investigator(PI) of Sub Award, “CUE Ethics: Collaborative Research: Open Collaborative Experiential Learning (OCEL.AI): Bridging Digital Divides in Undergraduate Education of Data Science,” NSF, Sub award $25,000 (PI: Dr. Yugyung Lee at University of Missouri- Kansas City).

2016-2017

PI, “Computer Science for Career Technology (CS4CT),” NJ Depart of Education FY17 Perkins Career and Technical Education Program, $140,886, 9/2016- 6/30/2017.

2015-2016

PI, “Cutting-Edge Web-Mobile App Developments,” NJ Depart of Education FY16 Perkins Career and Technical Education Program, $94,839, 9/15/2015- 6/30/2016.

2013-2016

Curriculum Developer, “Newark Area Industry Linked Information Technology (NAIL-IT),” U.S. Department of Labor Trade Adjustment Assistance Community College and Career Training (TAACCCT) Grant Program No. 11429759 $2,750,000 10/01/2013-09/30/2017. (PI: Essex County College; Public Contact: Dr. Susan Mulligan)

2012-2015

Curriculum Developer, “Upskill: NJ Incumbent Worker Training,” U.S. Department of Labor IT/STEM training program, 9/15/2012- 12/31/2015. (PI: Dr. Gale Spak at NJIT).

2012

Faculty Mentor, “Cultivating the STEM,” NSF, No. 0622440 $999,990 9/1/2012- 12/15/2012. (PI: Prof. Jianping Yue)

2012

Best Journal Article Award, Journal of Information Technology and Architecture (Flexible Payment Recommender System).

2008

Service Recognition for Contributions as a co-chair for the workshop “The Semantic Web meets the Deep Web”, at the IEEE Joint Conference on E-Commerce Technology and Enterprise Computing, E-Commerce and E-Services 2008.

2005

Teaching Assistantship: New Jersey Institute of Technology.

2001

Recognition for Contributions as a Team Member for Data Warehouse Development, Kookmin Bank, S. Korea.

2000

Oracle Certified Professional

[1]

Chen, H., Li, Y., Wang, Y., Lee, Y., Petri, A., & Cha, T. (2022). Computer science and communication students' perceptions of AI-integration in learning: A case study of OCEL.AI. Journal of Ethnographic & Qualitative Research, 16(4), 259–274.

[2]

Chen, H., Wang, Y., Li, Y., Lee, Y., Petri, A., & Cha, T. (2022). Computer science and non-computer science faculty members’ perception of AI in learning: A case study of OCEL.AI. Education and Information Technologies. https://doi.org/10.1007/s10639-022-11326-8

[3]

4. Cha, S.-H., & An, Y. J. (2016). Minimising branch crossings in phylogenetic trees. International Journal of Applied Pattern Recognition, 3(1), 22–37.

[4]

Cha, S.-H. and An, Y. J. (2014), Syntatic and Semantic Taxonomy of Preferential Voting Methods. IAENG Transactions on Engineering Technologies Lecture Notes in Electrical Engineering, Volume 247, pp 301-315 (Print ISBN: 978-94-007-6817-8 Online ISBN 978-94-007-6818-5).

[5]

Chun, S. A., An, Y. J., Park, S., Geller, J. and Cho, J.-S. (2011), Flexible Payment Recommender System. Journal of Information Technology and Architecture, 8 (4). (JITA Best Journal Article Award for the Year 2012)

[6]

Nwosisi, C., Cha, S.-H., An, Y. J., Tappert, C. C., and Lipsitz, E. (2011). Predicting Deep Venous Thrombosis Using Binary Decision Trees. International Journal of Engineering and Technology, 3(5), 467-472.

[7]

An, Y. J., Huang, K.-C., and Geller, J. (2010). A Formal Approach to Evaluating Medical Ontology Systems using Naturalness. The International Journal of Computational Models and Algorithms in Medicine , 1(1), 1-18.

[8]

Geller, J., Chun, S.A., and An, Y. J. (2008). Towards the Semantic Deep Web, Institute of Electrical and Electronic Engineers (IEEE) Computer, September: 91-93.

[9]

An, Y. J., Huang, K.-C., and Geller, J. (2006). Naturalness of Ontology Concepts for Rating Aspects of the Semantic Web. Communications of the International Information Management Association, 6 (3), 63-7.

[10]

Cha, S.-H., An, Y. J. (2014). Syntactic and Semantic Taxonomy of Preferential Voting Methods, IAENG Transactions on Engineering Technologies Lecture Notes in Electrical Engineering, Volume 247, Springer 2014, pp 301-315. (Print ISBN: 978-94-007-6817-8)

[11]

An, Y. J., Chun, S. A., Huang, K.-C., and Geller, J. (2008). Enriching Ontology for Deep Web Search, Proceedings of 19th International Conference on Database and Expert Systems Applications (DEXA’08), Lecture Notes in Computer Science 5181 Springer 2008, 73- 80. (ISBN 978-3-540- 85653-5)

[12]

Chun, S. A., An, Y. J., Geller, J. and Park, S. (2005). Fuzzy Virtual Card Agent for Customizing Divisible Card Payments, K. Bauknecht, B. Proll and H. Werthner (eds.) E-Commerce and Web Technologies, Proceedings of the 6th International Conference (EC-Web 05), Copenhagen, Denmark, 2005, Lecture Notes in Computer Science 3590, Springer, 2005, 287 – 296. (ISBN 3- 540-28467-2)

[13]

Kalpavruksha, R., Kalpavruksha, R., Cha, T., & Cha, S.-H. (2025). Kernel Density Estimated Linear Regression. In Proceedings of the 38th International FLAIRS Conference. In Proceedings of the 38th International FLAIRS Conference. https://doi.org/10.32473/flairs.38.1.138998

[14]

Kalpavruksha, R., Kalpavruksha, R., Cha, T., & Cha, S.-H. (2025). Kernel Density Based Spatial Clustering of Applications with Noise. In Proceedings of the 38th International FLAIRS Conference. In Proceedings of the 38th International FLAIRS Conference. https://doi.org/10.32473/flairs.38.1.138998

[15]

Lee, J., Cha, T., & Cha, S.-H.(2025). Facial Expression and Pose Recommender System Using Stereotypical Trait Identification. In Proceedings of the 38th International FLAIRS Conference. In Proceedings of the 38th International FLAIRS Conference. https://doi.org/10.32473/flairs.38.1.138998

[16]

Kuang, J., Cha, T., & Cha, S.-H. (2024). Enhancing nearest neighbor classification performance through dynamic time warping with progressive constraint. In Proceedings of the 37th International FLAIRS Conference. https://doi.org/10.32473/flairs.37.1.135599

[17]

Kuang, J., Cha, T., & Cha, S.-H. (2024). Enhancing image classification through exploitation of hue cyclicity in convolutional neural networks. In Proceedings of the 37th International FLAIRS Conference. https://doi.org/10.32473/flairs.37.1.135589

[18]

Cha, T., Cha, J., Lim, S., & Chun, S. (2024). Towards youth mental health support: Developing a prototype AI counselor. In Proceedings of the 37th International FLAIRS Conference. https://doi.org/10.32473/flairs.37.1.135604

[19]

Chen, H., Li, Y., Wang, Y., Lee, Y., Petri, A., & Cha, T. (2022). Computer science and communication students’ perception on integration of AI in learning: A case study of OCEL.AI. In Proceedings of the International Communication Association Conference, Paris, France.

[20]

Westfall, L., Cha, T., & Cha, S.-H. (2022). Optimizing Minkowski distance for pattern classification and regression. In Proceedings of the 26th International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, NV.

[21]

Westfall, L., Cha, T., & Cha, S.-H. (2022). Optimizing binary similarity measures for pattern classification and regression. In Proceedings of the 26th International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, NV.

[22]

P. K. Thind, V. K. Kattaru, T. Cha, S.-H. Cha (2021). Density Based Mode Within Radius and Its Application to EEG based Emotion Recognition, in Proc. 34th International FLAIRS Conference., Miami, Florida May 2021.

[23]

Cha, Teryn (2020). Open Government Data for Machine Learning Tax Recommendation. The 21st Annual International Conference on Digital Government Research, June 15-19, 2020, Seoul, South Korea.

[25]

Katturu, V., Thind. P. K., Cha, S. H., & Cha, T. (2020). A New Ensemble Method for Convolution Neural Networks and its Application to Plant Disease Detection, the 16th International Conference on Machine Learning and Data Mining, July 20 - July 21, 2020, Amsterdam, The Netherlands.

[26]

Cha, Sung Hyuk & Cha, Teryn (2020). Variance Linear Discriminant Analysis for IRIS Biometrics. The 33rd Florida Artificial Intelligence Research Society Conference, May 2020

[27}

Kim, C., Cha, S.-H., An, Y. J., Wilson, N. (2017). On ROC Curve Analysis of Artificial Neural Network Classifiers. FLAIRS Conference, 318-322.

[28]

An, Y. J. and Wilson, N. (2016). Tax Knowledge Adventure: Ontologies that Analyze Corporate Tax Transactions, Proceedings of International Digital Government Research Conference (dg.o 2016), Fudan University, China, 303-311.

[29]

Cha, S.-H., An, Y. J. (2012). Taxonomy and Nomenclature of Preferential Voting Methods, Proceedings of the World Congress on Engineering and Computer Science (WCECS 2012) Vol I, October 24-26, 2012, San Francisco, USA.

[30]

Nwosisi, C., Cha, S., An, Y. J., Tappert, C. C., and Lipsitz, E. (2010). Constructing Binary Decision Trees for Predicting Deep Venous Thrombosis, Proceedings of International Conference on Software Technology and Engineering, San Juan, Puerto Rico, USA, 121-124.

[31]

S. Cha, S., An, Y. J. and Tappert, C. C. (2010). ROC Curves for Multivariate Biometric Matching Models, Proceedings of International Conference on Artificial Intelligence and Pattern Recognition, Orlando, Florida.

[32]

Nwosisi, C., Cha, S., An, Y. J., Tappert, C. C., and Lipsitz, E. (2010). Constructing Binary Decision Trees for Predicting Deep Venous Thrombosis, Proceedings of International Conference on Software Technology and Engineering, San Juan, Puerto Rico, USA, 121-124.

[33]

An, Y. J., Chun, S. A., Huang, K.-C., and Geller, J. (2008) Assessment for Ontology Supported Deep Web Search, Proceedings of IEEE Joint Conference on E-Commerce Technology (CEC ’08) and Enterprise Computing, E-Commerce and E-Services (EEE’08), Crystal City, Washington D.C., 382 – 388.

[34]

An, Y. J., Geller, J., Wu, Y.-T., and Chun, S. A. (2007) Semantic Deep Web: Automatic Attribute Extraction from the Deep Web Data Sources. Proceedings of the 22nd Annual ACM Symposium on Applied Computing (SAC 2007), Seoul, Korea, 1667 – 1672.

[35]

An, Y. J., Geller, J., Wu, Y.-T. and Chun, S. A. (2007) Automatic Generation of Ontology from the Deep Web. Proceedings of 6th International Workshop on Web Semantics (WebS07), Rosenberg, Germany, 470 – 474..

[36]

An, Y. J., Huang, K.-C., and Geller, J. (2007) Rating the Naturalness of Ontology Taxonomies. Proceedings of the 20th International FLAIRS Conference, Key West, USA, 176 – 177.

[37]

Wu, Y.-T., An, Y. J., Geller, J. and Wu, Y.-T. (2006) A data mining based genetic algorithm, Proceedings of Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, Gyungju, Korea, 52–62.

[38]

An, Y. J. and Wilson, N. (2015), Merging Domain Ontologies using Graph Algorithms, Proceedings of Graph Theory Day 70, New York, A-12.

2020

Open Government Data for Machine Learning Tax Recommendation, the 21st Annual International Conference on Digital Government Research (dg.o 2020), South Korea on June 16, 2020.

2020

Artificial Intelligence in Taxation, Korean-American Women in Science and Engineering(KWiSE) NJ-NY Annual Virtual Conference on March 28, 2020

2016

Ontology and Its Applications, Seminar in Computer Science, Penn State University, Harrisburg, PA, Oct. 11, 2016.

2016

Tax Knowledge Adventure: Ontologies that Analyze Corporate Tax Transactions, Fudan University, China, June 8-10, 2016..

2015

Merging Domain Ontologies using Graph Algorithms, Graph Theory Day 70, Pace University, New York, Nov. 07, 2015.

2015

History of Computer Science Program at Essex County College (ECC), Poster Presentation during the ECC’s Convocation 2015, Aug. 31, 2015.

2014

ECC Virtual Computing Lab, Institutional Computing Advisory Council (ICAC) Meeting, ECC, June 19, 2014.

2012

Taxonomy and Nomenclature of Preferential Voting Methods, World Congress on Engineering and Computer Science (WCECS 2012), University of California, Berkeley, USA, Oct. 24-26, 2012.

2009

The Semantic Web – Ontology Supported Web Technology, Invited Seminar Talk: ECE Dept. at Stevens Institute of Technology, Hoboken, NJ, March 25, 2009.

2008

Assessment for Ontology Supported Deep Web Search, CEC’08 and EEE ’08, Crystal City, Washington D.C, July 23, 2008.

2008

First Steps Towards Rating the Quality of the Semantic Web, IIMA 2006, Iona College, New York, October 5, 2006.

2006

A Data Mining Based Genetic Algorithm, Software Technologies for Future Embedded and Ubiquitous Systems (SEUS 2006), Gyeongju, Korea, April 27-28, 2007.

2019

IEEE Transactions on Knowledge and Data Engineering

2019

Digital Government: Research and Practice

2013

Int. Journal of Business Continuity and Risk Management

2009

Expert Systems (The Journal of Knowledge Engineering)

2016-2017

Web and Publicity Chair: 18th Annual International Conference on Digital Government Research

2008

Workshop Chair: “The Semantic Web meets the Deep Web” at the IEEE Joint Conference on E-Commerce Technology and Enterprise Computing, E-Commerce and E-Services.

2021

The 34th International Conference of the Florida Artificial Intelligence Research Society (FLAIRS 2021)

2021

Trust in Intelligent Machines Track at ACM Symposium on Applied Computing

2020

Conference on Digital Government Research (dg.o 2020): Smart Cities: Intelligent Innovation and Transformation Track.

2020

FLAIRS Conference (FLAIRS 2020): Security, Privacy and Trust in the Big Data and AI Age Track.

2019

Conference on Digital Government Research (dg.o 2019): Smart Cities in the Age of Artificial Intelligence (AI) Track.

2015

Korean-American Women in Science and Engineering Forum, “Woman Who Want It All,” at the 25th Northeast Regional Conference (NRC 2016).

2013

International Conference on Mobile, Ubiquitous, and Intelligent Computing. (MUSIC-13)

2025-present

Faculty Senator, Essex County College Faculty Association

2016-2018

Secretary, Divisional Representative, Academic Standards and Assessment Committee

2016-present

Vice President, Divisional Representative, Academic Computing Advisory Committee.

2013

Program Designer, Trade Adjustment Assistance Community College and Career Training Grant Program Proposal Committee.

2012-2016

Member, Divisional Representative, Institutional Computing Advisory Council.

2013; 2025

Member, Commencement Committee.

2012-present

Program Coordinator, Computer Science; Applied Computer Science; Software Development Technology

2025-present

Member, Evaluation Committee, Division of Math, Engineering Technologies (ET) and Computer Sciences (CS).

2012-2021

Program Coordinator, Computer Information Systems; Cybersecurity & Network Technology Programs.

2012-present

Member, Curriculum Committee, Division of Math, Engineering Technologies (ET) and Computer Sciences (CS).

2012-present

Chair, Computer Science Group Meeting, ET&CS Annual Advisory Board.

2012-present

Faculty Advisor, Student Computer Science Club (2012 ~2021); Artificial Intelligence Student Club (2025~)

2012-2017

Reviewer, ET&CS Scholarships.

2012-2018

Member, Kean University’s Computer Science Advisory Board.

2024-present

Volunteer Team Member, Nursing Home Worship Service, Good Neighbor Ministry, NJ