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Dr. Hyoil Han

Associate Professor
School Information Technology
  • About
  • Education
  • 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

279.003Algorithms And Data Structures

499.001Independent Research For The Master’s Thesis

348.001Introduction to Machine Learning

448.001Introduction to Machine Learning

448.002Introduction 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

Abstract

Hyoil Han, Named Entity Disambiguation, An Extended Abstract, The 32nd annual US-Korea Conference on Science, Technology, and Entrepreneurship (UKC 2019), Chicago, IL, August 14-17, 2019.

Book, Authored

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

Book, Chapter

Reeve, L., Han, H., & Chen, C. Information visualization and the semantic web. Visualizing the Semantic Web. Springer London (2006): 19–44.

Conference Proceeding

Hojun Lee; Seong-je Cho; Hyoil Han; Woosang Cho; Kyoungwon Suh, Enhancing Sustainability in Machine Learning-based Android Malware Detection using API calls, The 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2022), Laguna Hills, CA, USA, Sep. 2022.
Minsu Park, Haein Kang, Seong-je Cho, Hyoil Han, and Kyoungwon Suh, Characterizing and Detecting Three Adversarial Techniques in Android, The 10th International Conference on Smart Media and Applications (SMA 2021), Gunsan-si, Korea, September 9-11, 2021.
Hyoil Han and SeungJin Lim, "Inaugural Speech Classification with Named Entities and Key Phrases," 2021 IEEE International Conference on Big Data and Smart Computing (BigComp), Jeju Island, Korea (South), 2021.

Han, H., Lim, S., Suh, K., Park, S., Cho, S., & Park, M. Enhanced Android Malware Detection: An SVM-based Machine Learning Approach. 2020 IEEE International Conference on Big Data and Smart Computing (2020)
Jihyeon Park, Munyeong Kang, Seong-je Cho, Hyoil Han and Kyoungwon Suh, Analysis of Permission Selection Techniques in Machine Learning-based Malicious App Detection, The 4th IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2020), USA, 2020. (Virtual held)

Journal Article

Liang, J., Yu, C., Suh, K., & Han, H. Tail Time Defense Against Website Fingerprinting Attacks. IEEE Access (2022)
Geunha You, Gyoosik Kim, Seong-je Cho, and Hyoil Han, A Comparative Study on Optimization, Obfuscation, and Deobfuscation tools in Android, Journal of Internet Services and Information Security (JISIS), Volume 11, Issue 1, February 2021. DOI:10.22667/JISIS.2021.02.28.002.
N. C. Santosa, J. Miyazaki, and H. Han, "Automating Computer Science Ontology Extension With Classification Techniques," in IEEE Access, vol. 9, pp. 161815-161833, 2021, doi: 10.1109/ACCESS.2021.3131627.
N. C. Santosa, J. Miyazaki, and H. Han, "Automating Computer Science Ontology Extension With Classification Techniques," in IEEE Access, vol. 9, pp. 161815-161833, 2021, doi: 10.1109/ACCESS.2021.3131627.
Fährmann, E., Adkins, L., Loader, C., Han, H., Rice, K., Denvir, J., & Driscoll, H. Severe hypoglycemia and coronary artery calcification during the diabetes control and complications trial/epidemiology of diabetes interventions and complications (DCCT/EDIC) study. Diabetes research and clinical practice 107.2 (2015): 280–289.

Presentations

H. Han and S. Lim, "Inaugural Speech Classification with Named Entities and Key Phrases," 2021 IEEE International Conference on Big Data and Smart Computing (BigComp), 2021, pp. 110-113, doi: 10.1109/BigComp51126.2021.00029.
SeungJin Lim and Hyoil Han, Distinguishing Political Parties From Inaugural Speeches Using Machine Learning, The IEEE 3rd International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2020), Shenzhen, China, April 9-11, 2020.
Hyoil Han, Named Entity Disambiguation, An Extended Abstract, The 32nd annual US-Korea Conference on Science, Technology, and Entrepreneurship (UKC 2019), Chicago, IL, August 14-17, 2019
Hyoil Han, Pattamon Viriyothai, SeungJin Lim, Dominik Lameter and Benjamin Mussell, A Yet Another Framework for Tweet Entity Linking, The IEEE 2nd International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2019), San Jose, CA, USA, March 28-30, 2019

Grants & Contracts

2016-17 New Faculty Startup Support. ISU. Illinois State University. (2016)