Kyung Eun Park

Assistant Professor

Faculty School of Arts, Sciences & Business School of Arts, Sciences & Business
kpark@ndm.edu Math, Physics & Computer Studies Department
Kyung Eun Park
This profile is currently being updated. Some information may be incomplete.

Biography

Dr. Kyung Park is an Assistant Professor of Computer Information Systems at Notre Dame of Maryland University, where she teaches courses in computer information systems, data science, programming, systems analysis and design, and emerging computing technologies. Her teaching emphasizes the integration of theoretical foundations with hands-on applications, preparing students to apply computational and analytical approaches to real-world problems.

Her research focuses on artificial intelligence, machine learning, natural language processing, and data science, with interests in transformer-based models, large language models, topic modeling, and AI-supported education. Her interdisciplinary research applies computational methods to analyze complex digital and social data and explores the role of emerging technologies in education and society. Her recent work includes applications of NLP and AI to sustainability education, digital media, and online content analysis. She is also interested in advancing computing education through the integration of emerging AI and computing technologies into the curriculum. In addition, she advises undergraduate students conducting research projects in areas such as data analytics, edge computing, and robotics, providing opportunities for students to apply computational concepts and emerging technologies to hands-on research.

Education

  • D.Sc. Information Technology (Computer Science Research), Towson University, U.S.A.
  • 2012 Collaboration Framework for a Context-Aware Environment with Multi-Device Enabled Applications
  • Research on RFID/USN platform and its context-aware applications. Created collaboration framework with the XOntology based on the CAI (Context-Aware Inference) semantic behavior analysis model for smart environment and simulated the collaboration effect of the framework.
  • M.S. Computer Science, Seoul National University, Korea.
  • 1992 Kernel Code Analysis Tool for Multiprocessor Operating System (MOS)
  • B.S. Computer Science & Statistics, Seoul National University, Korea.
  • 1990 Computer Science major (Statistics minor)

Research

Interests

  • AI, Data Analytics, and Smart IoT Systems
  • Developing data analytics, machine learning, real-time streaming, GIS, and cybersecurity frameworks for IoT and smart environments, with applications in anomaly detection, smart grids, business, and large-scale event analysis.
  • Human-Assisting Technologies, Robotics, and Educational/Training Systems
  • Applying AI, computer vision, brain-computer interfaces, motion and behavior recognition, and robotics to develop human-assisting and training systems. Applications include educational games, exergames, support for older adults and learners with disabilities, and human-assistant robots.
  • NLP, Sentiment Analysis, and Topic Modeling
  • Applying transformer-based NLP models, sentiment analysis, and topic modeling to large-scale digital and social media data to investigate how individuals and communities construct emotional, social, and cultural meanings around emerging products, technologies, and societal issues. Current research examines public perceptions of sports betting advertisements, consumer representations of plant-based and cultivated meat, and sustainability education through post-apocalyptic video games, including a BERTopic-based comparative analysis of Metro 2033 and Rage. These studies explore themes of risk, ethics, cultural meaning, persuasive communication, and sustainability through computational analysis of user-generated content.

Publications

  1. P1. K. Park, J. Chang, and T. Kihl, “Exploring Sustainability Education through Post-Apocalyptic Games: A BERTopic-Based Comparative Case Study of Metro 2033 and Rage,” In Proceedings of the 18th Internation Conference on Computer Supported Education (CSEDU 2026), May 2026.
  2. P2. S. Lee and K. Park, “Social Representations of Alternative Meat: How Consumers Emotionally and Culturally Construct Plant Based and Cultivated Meat Meanings on Social Media,” Int’l Conference on Society for Food Marketing and Retailing (SFMR 2026), February 2026.
  3. P3. K. Kim, K. Park, K. Yoon, and Y. Kim, “Perceptions of Sports Betting and Promotions in the U.S.: Evidence from a Mixed-Methods Sentiment Analysis of YouTube Comments,” Journal of Gambling Studies (JGS 2026), January 2026. https://doi.org/10.1007/s10899-025-10467-y
  4. P4. K. Kim, K. Park, K. Yoon, and S. Kumble, “Sports Betting Advertising in the U.S.: Uncovering Sentiments and Topics from YouTube Comments by a Hybrid Approach,” In Proceedings of the 23rd International Conference on Research in Advertising (ICORIA 2025), Rotterdam, The Netherlands, June 2025.
  5. P5. S. Kim, K. Park, and T. Kihl, “Level Design of Platform Games Using Interest Curves,” International Journal of Engineering Research and Technology, ISSN 0974-3154, Volume 13, Number 12 (2020), pp. 5176-5181
  6. P6. K. Park, T. Kihl, S. Park, M. Kim, and J. Chang, “Fairy tale directed game-based training system for children with ADHD using BCI and motion sensing technologies,” Behavior & Information Technology, DOI: 10.1080/0144929X.2018.1544276, November 2018
  7. P7. K. Park, T. Kihl, S. Park, M. Kim, and J. Chang, “Improvement of Behavior and Reading Skills using Adaptive Intervention with Narrative Contents: Development of Adaptive Behavior Training Game Platform (ABTGP),” Int’l Conference on Computer Games Multimedia & Allied Technologies (CGAT 2017), Singapore, April 2017.
  8. P8. K. Park, T. Kihl, S. Park, M. Kim, and J. Chang, “Narratives and Sensor Driven Cognitive Behavior Training Game Platform,” Int’l Conference on Software Engineering Research, Management and Applications (IEEE/SERA 2016), Towson, MD, USA, June 2016.
  9. P9. K. Park, T. Kihl, and J. Chang, “Development of Interactive Fairy Tale System Based on BCI and Motion Sensing Technology for Children with ADHD,” Journal of Korean Society For Computer Game (KSGC), vol. 28(1), pp. 21–27. March 2015.
  10. P10. K. Park, Y. Kim, and J. Chang, “Semantic Reasoning with Contextual Ontologies on Sensor Cloud Environment,” Int’l Journal of Distributed Sensor Networks Vol. 2014, Article ID 693957.
  11. P11. Shin, S. H., Kim, S.K., Chang, J., and Park, K.,“An Implementation of the HMD-Enabled Interface and System Usability Test,” Proc. of the 1st International Symposium on Simulation & Serious Games 2014 (ISSSG 2014) in Seoul, Korea, May 2014. 183-193.
  12. P12. K. Park, Y. Kim, and J. Chang, “Interoperable Context Sharing in an Ontology-Enabled Collaboration Framework,” Proc. of Int’l Conference on Ubiquitous Information Management and Communication (ACM IMCOM 2014), Siem Reap, Cambodia, January 2014.
  13. P13. Y. Song, K. Park, and Y. Yoon, “Ontology based Learner-centered Smart E-Learning System,” Proc. of the VI International GUIDE Conference, Athens, Greece, October 2013.
  14. P14. K. Park, C. Byun, J. Yun, Y. Kim, and J. Chang, “Context-Aware Inference (CAI) Model on Smart Computing Environment,” Proc. of Int’l Conference on Information Science and Applications (ICISA 2012), Suwon, Korea, May 2012.
  15. P15. J. Yun, K. Park, C. Byun, Y. Kim, and J. Chang, “Mobile Real-time Tracking System based on the XCREAM (XLogic Collaborative RFID/USN-Enabled Adaptive Middleware,” Proc. of the 9th ACIS Conference on Software Engineering Research, Management & Applications (SERA 2011), Towson, MD, USA, August 2011.
  16. P16. K. Park, J. Yun, Y. Kim, and J. Chang, “Design and Implementation of Scenario-based Collaborative Framework: XCREAM,” Proc. of Int’l Conference on Information Science and Applications (ICISA 2010), Seoul, Korea, April 2010.
  17. P17. K. Park, Y. Kim, J. Chang, D. Rhee, and J. Lee, “The Prototype of the Massive Events Streams Service Architecture and its Application,” Proc. of Int’l Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2008), Thailand, August 2008.
  18. P18. K. Park, J. Lee, K. Lee, K. Ahn, J. Lee, and J. Kim, “The development of GEUS(renamed to ZEUS): A spatial DBMS tightly integrated with an object-relational database engine,” Proc. of the Annual Conference of Urban & Regional Information Systems Association (URISA’98), pp 256-267. Charlotte, NC, 1998.

Professional Affiliations & Memberships

  • 2002 – 2006 LBS (Location-Based Services) Standardization Forum TTA (Telecommunication Technology Association), KOREA
  • Main & Co-Editor of LBS Service and Platform WG: “LBS Platform Stage 1 and 2”
  • Chairperson of Emergency Rescue Service SIG: “Mobile Emergency Services”
  • 2019 Served as a member of the program committee of IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2019)

Awards

  • 2002 Jang Young-Shil Award (IR52) for ZEUS Software Development
  • KOITA (Korea Industrial Technology Association), Korea.