Office
管(CM) 4083

Phone
07-5252000 #4737

E-Mail
ykang@mis.nsysu.edu.tw

Homepage
http://ykang.mis.nsysu.edu.tw

Research Interests
1.Temporal Data Mining
2.Enterprise Data Management
3.Scalable Data Analytics
4.Health Informatics
5.Business Process Mining

Education

  • PhD., Information Sciences, University of Pittsburgh
  • M.S., Information Sciences, University of Pittsburgh
  • B.B.A, Information Management, National Yunlin University

Experiences

  • Assistant Professor, National Sun Yat-sen University, 2015/02 - present
  • Senior Data Analyst, Department of Health Policy and Management, University of Pittsburgh
  • Senior Programmer, Division of Geriatric Medicine, University of Pittsburgh

Award & Honors

  • 逸仙新進管理學者獎, 中山大學管理學院, 2016
  • Recognition of Services, University of Pittsburgh School of Medicine, 2014
  • SAS Certified Statistical Business Analyst, 2013
  • Microsoft Certified Technology Specialist, 2009
  • SAS Certified Base Programmer, 2007
  • Sun Certified Programmer for the Java 2, 2004
  • Linux Professional Institute Certification, 2003

Journal Articles

  1. SM Altawalbeh, CT Thorpe, JC Zgibor, S Kane-Gill, Y Kang, JM Thorpe, Economic Burden Associated with Receiving Inhaled Corticosteroids with Leukotriene Receptor Antagonists or Long-Acting Beta Agonists as Combination Therapy in Older Adults, Journal of managed care & specialty pharmacy, Vol.24, No.5, 2018, pp.478-486
  2. C. T Thorpe, N. R. Fowler, K. Harrigan, X. Zhao, Y. Kang, J. T. Hanlon, W. F Gellad, L. J. Schleiden, J. M Thorpe, Racial and Ethnic Differences in Initiation and Discontinuation of Antidementia Drugs by Medicare Beneficiaries, Journal of the American Geriatrics Society, 2016
  3. SM Altawalbeh, CT Thorpe, JC Zgibor, S Kane‐Gill, Y Kang, JM Thorpe, Antileukotriene Agents Versus Long‐Acting Beta‐Agonists in Older Adults with Persistent Asthma: A Comparison of Add‐On Therapies, Journal of the American Geriatrics Society, 2016
  4. H. Degenholtz, M. Park, Y. Kang, P. Nadash, Variations Among Medicare Beneficiaries Living in Different Settings: Demographics, Health Status, and Service Use., Research on aging, 2015
  5. Y. Kang, V. Zadorozhny, Process Monitoring using Maximum Sequence Divergence, Knowledge and Information Systems (KAIS), Vol.48, 2015, pp.81-109
  6. H. Degenholtz, Y. Kang, S. Hardy, Chronic Disease and Disability: Primary Care Can Moderate Decline in Physical Function Over Time, Gerontologist, No.53, 2013
  7. H. Degenholtz, S. Hardy, P. Nadash, Y. Kang, Use and Cost of Health Care Services for Medicare Beneficiaries in Different Types of Housing, Gerontologist, No.53, 2013
  8. H. Degenholtz, S. Hardy, Y. Kang, Chronic Disease and Disability: Longitudinal Analysis of MCBS Data, Gerontologist, No.52, 2012
  9. S. Hardy, Y. Kang, S. Studenski, H. Degenholtz, Ability to walk 1/4 mile predicts subsequent disability, mortality, and health care costs, Journal of General Internal Medicine, No.2, 2011

Conference Proceedings

  1. Y Kang, IL Cheng, W Mao, B Kuo, PJ Lee, Towards Interpretable Deep Extreme Multi-label Learning, arXiv preprint arXiv:1907.01723, 2019
  2. Y. Kang, KP Lin, IL Cheng, Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization, IEEE 19th International Conference on Information Reuse and Integration for Data Science, Salt Lake City, Utah, USA, 2018 file
  3. IL Cheng, SW Chew, Y. Kang, W. Chang, NS Chen, Exploring the Difference in Brain Activities under Three Distinct Tasks: Listening to Music, Gaming, and Learning, 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), Austin, Texas, USA , 2016
  4. Y. Kang, V. Zadorozhny, Process Discovery using Classification Tree Hidden Semi-Markov Model, 2016 IEEE International Conference on Information Reuse and Integration (IRI-DIM), 2016, pp. 361–368, Pittsburgh, PA, 2016 file

National Science Council Projects

  1. Towards Fair, Accountable, and Transparent Intelligent Applications: Learning Explainable Extreme Multi-label Representation, 主持人, 2019-8-1-2020-7-31
  2. Towards Fair, Accountable, and Transparent Intelligent Applications: Using Deep Rule Forests, 主持人, 2018-8-1-2019-7-31
  3. Emerging Topic Discovery based on Sparseness-constrained Non-negative Matrix Factorization, 主持人, 2017-8-1-2018-7-31
  4. Using Distributed Rule-integrated Tree Probabilistic Process Model–Process Discovery from Big Data, 主持人, 2016-8-1-2017-7-31
  5. Applying Big Data Analytics to Promote Labor Income, 共同主持人, 2016-6-1-2017-5-31
  6. Using Tree-based Probabilistic Process Models—Frequent Process Discovery from Large Healthcare Databases , 主持人, 2015-9-1-2016-8-31

Others

  1. Intelligent Information System of Whole Disease Modeling for Diabetes Care and Policy Evaluation
    -The National Health Research Institutes (NHRI) 委托, 共同主持人, 2018-1-1-2021-12-31
  2. Developing Unified Analytics Platforms
    -United Microelectronics Corporation委托, 主持人, 2018-7-1-2019-12-31
  3. 消費客群影像辨識模型開發與設計
    -協同數位股份有限公司委托, 主持人, 2019-1--2019-11-
  4. The association between drug-drug interactions and cardiovascular events using Tree-based Hidden Semi-Markov Models
    -國立中山大學與高雄醫學大學合作研究計畫委托, 共同主持人, 2017-1-1-2017-12-31
  5. Discovering drug-drug interactions induced acute kidney injury using massive data mining techniques
    -NSYSU-KMU Joint Research Project委托, 共同主持人, 2016-1-2-2016-12-31

Undergraduate Program

YearCourse NameHour
106INTRODUCTION TO BIG DATA ANALYTICS3
BUSINESS PROCESS PROJECT I3
BUSINESS PROCESS PROJECT II3
COMPUTER PROGRAMMING3
COMPUTER PROGRAMMING PRATICE1
105PRACTICAL BIG DATA ANALYTICS3
INTRODUCTION TO BIG DATA ANALYTICS3
BUSINESS PROCESS PROJECT I3
BUSINESS PROCESS PROJECT II3
COMPUTER PROGRAMMING3
COMPUTER PROGRAMMING PRATICE1
104BUSINESS PROCESS PROJECT II3
COMPUTER PROGRAMMING3
COMPUTER PROGRAMMING PRATICE3
BUSINESS PROCESS PROJECT I3
103COMPUTER PROGRAMMING3
COMPUTER PROGRAMMING PRATICE1
BUSINESS PROCESS PROJECT I3

Graduate Program

YearCourse NameHour
106INTRODUCTION TO BIG DATA ANALYTICS3
SEMINAR3
SEMINAR3
105PRACTICAL BIG DATA ANALYTICS3
INTRODUCTION TO BIG DATA ANALYTICS3
SEMINAR3
104INTRODUCTION TO BIG DATA ANALYTICS3
Practical Big Data Analytics3

Ph.D. Program

YearCourse NameHour
106SEMINAR IN ADVANCED INFORMATION SYSTEMS (II)1
SEMINAR IN ADVANCED INFORMATION SYSTEMS (IV)1

Part time MBA

YearCourse NameHour
106INTRODUCTION TO BIG DATA ANALYTICS3
SEMINAR IN MIS (I)3
SEMINAR(II)3
SEMINAR3
SEMINAR3
105PRACTICAL BIG DATA ANALYTICS3
SEMINAR IN MIS (I)3
SEMINAR3
104SEMINAR IN MIS (I)3
INTRODUCTION TO BIG DATA ANALYTICS3
PRACTICAL BIG DATA ANALYTICS3

Part time MBA(EC)

YearCourse NameHour
106PRACTICAL BUSINESS ANALYTICS3