Hyoil Han


 Associate Professor
Computer Science
Marshall University
Contact information:
Email:     hanh AT marshall.edu (or hyoil.han AT acm.org )
Phone:     304-696-6204
Marshall University
Gullickson Hall 205B
One John Marshall Drive
Huntington, WV 25755


Hyoil Han joined Computer Science in the College of Information Technology & Engineering at Marshall University in the fall of 2011 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 LeMoyne-Owen College as an associate professor and for Drexel University as an assistant professor.

Reasearch Interest

Intelligent Information Processing, Mining, and Management in Distributed Computing Environments:
Information management and knowledge discovery from e-sources (electronic data sources) in distributed computing environements are becoming increasingly difficult due to the existence of massive amounts of heterogeneous data that only humans are able to understand. Until recently, research has focused on syntactically understandable machine information exchange and discovery. Semantics is the key for information technologies that focus on automating semantically meaningful information interchange, understanding data/text, and discovering knowledge from the Web and other e-sources. Applying database and artificial intelligence techniques (such as machine learning and natural language understanding) to data/text in e-sources is one of the best approaches for achieving the goals of understanding data/text, discovering semantic knowledge from e-sources, integrating/interchanging data seamlessly and securely, and transforming its nature from one that only humans can understand to one that a machine can process. The data available in e-sources is of various kinds, such as semi-structured, unstructured and even stream data. Traditional theories and technologies cannot process these data types. New approaches are required to understand, mine, and manage them.
My main research interest is the merging of techniques from the areas of databases (DB) and artificial intelligence (AI) and the computing aspects of sciences. The specific areas I am working on consist of developing algorithms and systems for Big Data Analytics, Cloud Computing, Web Semantics, Text/Data Mining & Management, and Biomedical & Healthcare Informatics in distributed computing environements. My research focuses on developing theories and building intelligent systems for (1) analyzing, mining, and managing unconventional bigdata and (2) integrating/interchanging information from heterogeneous data sources for semantic interoperability in distributed computing environments securely and seamlessly.

Funded Project
Teaching
  • Old classes
    Recent Publications (Full Publications)
    1. Sean Sovine and Hyoil Han, A Computationally Efficient System for High-Performance Multi-Document Summarization, To appear in the proceedings of The 26th International FLAIRS Conference, Florida, USA, May 22 - 24, 2013.
    2. Sofia J. Athenikos and Hyoil Han, Biomedical Question Answering : A Survey, Computer Methods and Programs in Biomedicine, Vol. 99, Issue 1, pp. 1-24, Elsevier, July 2010.
    3. Quinsulon L. Israel, Hyoil Han, and Il-Yeol Song, Focused Multi-Document Summarization: Human Summarization Activity vs. Automated Systems Techniques, The Journal of Computing Sciences in Colleges (JCSC) Vol. 25, Number 5, pp. 10-20, ACM, May 2010.
    4. Protima Banerjee and Hyoil Han, Language Modeling Approaches for Information Retrieval, Journal of Computing Science and Engineering, Vol. 3, No. 3, pp. 143-164, Korean Institute of Information Scientists and Engineering (KIISE), September 2009.
    5. Protima Banerjee and Hyoil Han, From Question Context to Answer Credibility: Modeling Semantic Structures for Question Answering Using Statistical Methods, International Conf. on Information & Knowledge Engineering (IKE'09), Las Vegas, USA, July 13-16, 2009.
    6. Protima Banerjee and Hyoil Han, Answer Credibility: A Language Modeling Approach to Answer Validation, (Short Paper), North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT) 2009 conference, Colorado, USA, May 31 - June 3, 2009.
    7. Protima Banerjee and Hyoil Han, Development of a Semantic Question Context for Question Answering, The 22nd International FLAIR Conference (Florida Artificial Intelligence Research Society), Sanibel Island, Florida, USA, May 19-21, 2009.
    8. Sofia J. Athenikos, Hyoil Han, and Ari D. Brooks, A Framework of a Logic-based Question-Answering System for the Medical Domain (LOQAS-Med), ACM Symposium on Applied Computing (ACM SAC 2009), Honolulu, Hawaii, USA, March 8-12, 2009.
    9. Lawrence Reeve, Hyoil Han, and Ari D. Brooks, Online Biomedical Concept Annotation Using Language Modeling, (short paper), The 2008 IEEE Conference on Bioinformatics and Biomedicine (BIBM), Philadelphia, PA, USA, Nov. 3-5, 2008.
    10. Sofia J. Athenikos, Hyoil Han, and Ari D. Brooks, Semantic Analysis and Classification of Medical Questions for a Logic-Based Medical Question-Answering System, (short paper), The International Workshop on Biomedical and Health Informatics in conjunction with IEEE Conference on Bioinformatics and Biomedicine (BIBM), Philadelphia, PA, USA, Nov. 3, 2008.
    11. Protima Banerjee and Hyoil Han, Incorporation of Corpus-Specific Semantic Information into Question Answering Context, (short paper), The 2nd International Workshop on Ontologies and Information Systems for the Semantic Web (ONISW 2008) in conjunction with ACM 17th Conference on Information and Knowledge Management, (short paper), Napa Valley, CA, USA, October 30, 2008.
    12. Lawrence Reeve, Hyoil Han and Ari D. Brooks, The Use of Domain-Specific Concepts in Biomedical Text Summarization, International Journal of Information Processing and Management, Volume 43, Issue 6, Elsevier, pp. 1765-1776, November 2007.
    13. Lawrence Reeve and Hyoil Han, CONANN: An Online Biomedical Concept Annotator, 4th International Workshops in Data Integration in the Life Sciences 2007 (DILS 2007), pp. 264-279, Philadelphia, PA, USA, June 27-29, 2007.
    14. Lawrence Reeve, Hyoil Han and Ari D. Brooks, Biomedical Text Summarization Using Concept Chains, International Journal of Data Mining and Bioinformatics, Vol. 1, pp. 389-407, Inderscience Publishers, 2007.
    15. Palakorn Achananuparp, Hyoil Han, Olfa Nasraoui, and Roberta Johnson, Semantically Enhanced User Modeling, ACM Symposium on Applied Computing (ACM SAC 2007), Seoul, Korea, March 11-15, 2007.
    16. Nam-Yeon Choi, Il-Yeol Song, and Hyoil Han, A Survey on Ontology Mapping, ACM SIGMOD RECORD (Special Interest Group on Management of Data), Vol. 35, Num. 3, pp.34-41, 2006.
    17. Lawrence Reeve, Hyoil Han, Saya V. Nagori, Jonathan C. Yang, Tami Schwimmer, and Ari D. Brooks, Concept Frequency Distribution in Biomedical Text Summarization, Proceedings of ACM 15th Conference on Information and Knowledge Management (ACM CIKM), Arlington, VA, USA, Nov. 6-11, 2006.
    18. Hyoil Han, Han C. Ryoo, and Herbert Patrick, An Infrastructure of Stream Data Mining, Fusion, and Management for Monitored Patients, The 19th IEEE International Symposium on Computer Based Medical System (IEEE CBMS), pp. 461-465, Salt Lake City, Utah, USA, June 22-23, 2006.
    19. Hyoil Han, Yoori Choi, Yoomyung Choi, Xiaohua Zhou and Ari D. Brooks, A Genric Framework: From Clinical Notes to Electronic Medical Records, The 19th IEEE International Symposium on Computer Based Medical System (IEEE CBMS), pp. 111-116, Salt Lake City, Utah, USA, June 22-23, 2006.
    20. Lawrence Reeve, Hyoil Han, and Ari D. Brooks,   BioChain: Lexical Chaining Methods for Biomedical Text Summarization,    The 21st Annual ACM Symposium on Applied Computing (ACM SAC) 2006, Technical tracks on Bioinformatics (BIO 2006), pp. 180-184, Dijon, France, April 23 -27, 2006.
    21. Xiaohua Zhou, Hyoil Han, Isaac Chankai, Ann A. Prestrud, and Ari D. Brooks,   Approaches to Text Mining for Clinical Medical Records,    The 21st Annual ACM Symposium on Applied Computing (ACM SAC) 2006, Technical tracks on Computer Applications in Health Care (CAHC 2006), pp. 235-239, Dijon, France, April 23 -27, 2006.
    22. Xiaohua Zhou, Xiaohua Hu, Xia Lin, Hyoil Han, and Xiaodan Zhang,   Relation-based Document Retrieval for Biomedical Literature Databases,    The 11th International Conference on Database Systems for Advanced Applications (DASFAA) (LNCS 3882, Springer, Spring 2006), pp. 689-701, April 12-15, 2006.
    23. Lawrence Reeve and Hyoil Han, A Comparison of Semantic Annotation Systems for Text-based Web Documents,    Web Semantics and Ontology, David Taniar and Wenny Rahayu (Eds.), Idea Group Publishing, Hershey, PA, early 2006.
    24. Lawrence Reeve and Hyoil Han, Semantic Annotation for Semantic Social Networks Using Community Resources, AIS SIGSEMIS Bulletin, Vol. 2, Issue (3&4), 2005, pp. 52-56, David Taniar and Wenny Rahayu (Eds.), Idea Group Publishing, Hershey, PA, early 2006.
    Others