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Dr. Hyoil Han

Associate Professor of Computer Science
  • About
  • Education
  • Selected Research

Biography

Hyoil Han joined Computer Science in School of Information Technology at Illinois State University in the fall of 2016 as an associate professor. Hyoil received her BS degree in Electrical Engineering from Korea University in her hometown, her MS degree in Electrical Engineering from Korea Advanced Institute of Science and Technology, and her Ph.D. degree in Computer Science and Engineering from the University of Texas at Arlington in 2002. Previously she worked for Samsung Electronics as a researcher and Telecommunication Network Lab. at Korea Telecom as a member of technical staff. She also worked for Marshall University and LeMoyne-Owen College as an associate professor, and Drexel University as an assistant professor.

Current Courses

IT 378.001 Database Processing

IT 378.002 Database Processing

IT 494.001 Graduate Directed Project

IT 400.006 Independent Study

IT 348.001 Introduction to Machine Learning

IT 448.001 Introduction to Machine Learning

IT 378.002 Database Processing

IT 378.003 Database Processing

IT 287.006 Independent Study

IT 287.008 Independent Study

IT 348.001 Introduction to Machine Learning

IT 448.001 Introduction to Machine Learning

Teaching Interests & Areas

Artificial Intelligence, Data Mining, Data Management, Data Analysis, Machine Learning, Natural Language Processing, Information Retrieval, Big Data Analytics and Management.

Research Interests & Areas

Intelligent Information Processing, Mining, and Management in Big Data Computing Environments:
My main research interest includes Machine Learning, Natural Language Processing, Data Science, Data Management, and High Performance Computing for Big Data.

Ph D Computer Science and Engineering

University of Texas at Arlington
Texas, USA

MS Electrical Engieering

Korea Advanced Institute of Science and Technology
Taejon, Korea

BS Electrical Engineering

Korea University
Seoul, Korea

Grants and Contracts

Analyzing and improving the sustainability of Machine Learning-based models to detect Android malware
Kyoungwon Suh, Hyoil Han.
School of Information Technology. May 2024 - April 2025
2016-17 New Faculty Startup Support
Hyoil Han.
ISU. November 1 2016 - September 15 2018

Abstract

Named Entity Disambiguation
Hyoil Han.
The 32nd annual US-Korea Conference on Science, Technology, and Entrepreneurship (UKC 2019), (2019)

Book, Authored

Conceptual modeling and ontology extraction for web information
Hyoil Han, others.
(2002), The University of Texas at Arlington

Book, Chapter

Information visualization and the semantic web
Lawrence Reeve, Hyoil Han, Chaomei Chen.
(2006), 19–44, Visualizing the Semantic Web, Springer London

Conference Proceeding

A Survey of Explainable Recommender Systems
Alfrin Saldanha, Hyoil Han.
The 2nd International Conference on Computational Science & Applications, 13, (2024)
Automatic Extraction of Effective Relations in a Knowledge Graph for a Recommendation Explanation System
Shi-Jun Luo, Hyoil Han, Qiong Chang, Jun Miyazaki.
The 38th ACM/SIGAPP Symposium On Applied Computing, (2023), https://doi.org/10.1145/3555776.3577732
Enhancing Sustainability in Machine Learning based Android Malware Detection using API calls
Hojun Lee, Seong-je Cho, Hyoil Han, Woosang Cho, Kyoungwon Suh.
The Fifth IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2022), (2022)
Characterizing and Detecting Three Adversarial Techniques in Android
Minsoo Park, Haein Kang, Seong-je Cho, Hyoil Han, Kyoungwon Suh.
The 10th International Conference on Smart Media and Applications (SMA 2021), (2021)
Inaugural Speech Classification with Named Entities and Key Phrases
Hyoil Han, SeungJin Lim.
2021 IEEE International Conference on Big Data and Smart Computing, (2021)
Analysis of Permissions Selection Techniques in Machine Learning-based Malicious App Detection
Jihyeon Park, Munyeong Kang, Seong-je Cho, Hyoil Han, Kyoungwon Suh.
The Third IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2020), (2020)
Distinguishing Political Parties From Inaugural Speeches Using Machine Learning
SeungJin Lim, Hyoil Han.
IEEE 3rd International Conference on Multimedia Information Processing and Retrieval (MIPR 2020), (2020)
Enhanced Android Malware Detection: An SVM-based Machine Learning Approach
Hyoil Han, SeungJin Lim, Kyoungwon Suh, Seonghyun Park, Seong-je Cho, Minkyu Park.
2020 IEEE International Conference on Big Data and Smart Computing, (2020)
A New Anti-Reverse Engineering for Android Apps Using Application-level Virtualization and Code Packing
Kyeonghwan Lim, Seongjae Han, Seongje Cho, Jongmoo Choi, Hyoil Han, Kyoungwon Suh, Hanil Kim.
The International Conference on Next Generation Computing (ICNGC 2019), (2019)
Yet Another Framework for Tweet Entity Linking (YAFTEL)
Hyoil Han, Pattamon Viriyothai, SeungJin Lim, Dominik Lameter, Benjamin Mussell.
IEEE 2nd International Conference on Multimedia Information Processing and Retrieval (MIPR 2019), (2019)
Semantic analysis for focused multi-document summarization (fMDS) of text
Quinsulon Israel, Hyoil Han, Il-Yeol Song.
The 30th Annual ACM Symposium on Applied Computing, 339–344, (2015)
A Computationally Efficient System for High-Performance Multi-Document Summarization.
Sean Sovine, Hyoil Han.
AAAI, (2013)
A framework of a logic-based question-answering system for the medical domain (LOQAS-Med)
Sofia J Athenikos, Hyoil Han, Ari D Brooks.
Proceedings of the 24th Annual ACM Symposium on Applied Computing, (2009)
Answer credibility: a language modeling approach to answer validation
Protima Banerjee, Hyoil Han.
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers, 157–160, (2009)
Modeling Semantic Question Context for Question Answering.
Protima Banerjee, Hyoil Han.
(2009)
Incorporation of corpus-specific semantic information into question answering context
Protima Banerjee, Hyoil Han.
25–30, (2008)
Online Biomedical Concept Annotation Using Language Model Mapping
Lawrence H Reeve, Hyoil Han, Ari D Brooks.
453–456, (2008)
Semantic analysis and classification of medical questions for a logic-based medical question-answering system
Sofia J Athenikos, Hyoil Han, Ari D Brooks.
111–112, (2008)
A term frequency distribution approach for the duc-2007 update task
Lawrence H Reeve, Hyoil Han.
(2007)
CONANN: an online biomedical concept annotator
Lawrence H Reeve, Hyoil Han.
264–279, (2007)
Drexel at TREC 2007: Question Answering.
Protima Banerjee, Hyoil Han.
(2007)
Semantically enhanced user modeling
Palakorn Achananuparp, Hyoil Han, Olfa Nasraoui, Roberta Johnson.
1335–1339, (2007)
A generic framework: From clinical notes to electronic medical records
Hyoil Han, Yoori Choi, Yoo Myung Choi, Xiaohua Zhou, Ari D Brooks.
111–118, (2006)
An infrastructure of stream data mining, fusion and management for monitored patients
Hyoil Han, Han C Ryoo, Herbert Patrick.
461–468, (2006)
Approaches to text mining for clinical medical records
Xiaohua Zhou, Hyoil Han, Isaac Chankai, Ann Prestrud, Ari Brooks.
235–239, (2006)

Other

S3PaR: Section-based Sequential Scientific Paper Recommendation for Paper Writing Assistance
Natasha Christabelle Santosa, Xin Liu, Hyoil Han, Jun Miyazaki.
The 2024 Australasian Database Conference (ADC), (2024), https://doi.org/10.1016/j.knosys.2024.112437
A Study on a Vulnerability Scoring System for Intelligent Buildings
Minsu Park, Haein Kang, Hyoil Han, Kyoungwon Suh.
the 8th International Conference on Next Generation Computing 2022 (ICNGC 20202, (2022)
A Forensic Data Analysis of a Bluetooth Device paired with an Android-based Audio Video Navigation System
Keonyong Lee, Hojun Seong, Haein Kang, Seong-je Cho, Hyoil Han, Kyoungwon Suh.
http://www.icngc.org/, (2021)
De-Obfuscating Android Apps Obfuscated by ProGuard and Obfuscapk
Geunha You, Seong-je Cho, Hyoil Han, Kyoungwon Suh.
the 6th International Conference on Next Generation Computing 2020 (ICNGC 2020), (2020)
Performance Comparison between R8 Compiler and ReDex in Code Optimization of Android Apps
Geunha You, Seong-je Cho, Hyoil Han, Kyoungwon Suh.
the 6th International Conference on Next Generation Computing 2020 (ICNGC 2020), (2020)
LOQAS-Med
Sofia J Athenikos, Hyoil Han, Ari D Brooks.
IST Research Day 2008 posters, (2008)
Technical Report: Semantic Annotation Platforms
Lawrence Reeve, Hyoil Han.
Technical Report, College of Information Science and Technology, (2004)

Presentations

SDoH-informed, AI-Driven STI prediction and Youth-Centered Interventions Across Illinois
Hyoil Han, Jung Eun Kim, Jill Stoops, Nariman Ammar.
Illinois Innovation Network 2025 Conference, DeKalb, Illinois, September 26, 2025
A Survey of Explainable Recommender Systems
Alfrin Saldanha, Hyoil Han.
The 2nd International Conference on Computational Science & Applications, online, December 28, 2024
Semantic Search
Hyoil Han.
Colloquium at Institute of Science Tokyo, Tokyo, Japan, January 9, 2024
Inaugural Speech Classification with Named Entities and Key Phrases
Hyoil Han, SeungJin.
The 2021 IEEE International Conference on Big Data and Smart Computing (BigComp), Online, January 17, 2021
Distinguishing Political Parties From Inaugural Speeches Using Machine Learning
SeungJin, Hyoil Han.
The IEEE 3rd International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2020), Online, August 7, 2020
Named Entity Disambiguation
Hyoil Han.
The 32nd annual US-Korea Conference on Science, Technology, and Entrepreneurship (UKC 2019), Chicago, IL, August 15, 2019
A Yet Another Framework for Tweet Entity Linking
Hyoil Han, Pattamon Viriyothai, SeungJin Lim, Dominik Lameter, Benjamin Mussell.
IEEE 2nd International Conference on Multimedia Information Processing and Retrieval (MIPR 2019), San Jose, CA, USA, March 29, 2019