{"id":675,"date":"2024-08-19T00:34:14","date_gmt":"2024-08-18T16:34:14","guid":{"rendered":"https:\/\/ih3.mis.nsysu.edu.tw\/?page_id=675"},"modified":"2025-01-28T17:49:56","modified_gmt":"2025-01-28T09:49:56","slug":"%e5%ba%b7%e7%be%a9%e6%99%83-%e8%80%81%e5%b8%ab","status":"publish","type":"page","link":"https:\/\/ih3.mis.nsysu.edu.tw\/?page_id=675","title":{"rendered":"\u5eb7\u7fa9\u6643 \u8001\u5e2b"},"content":{"rendered":"\n<figure class=\"wp-block-table is-style-stripes\" style=\"margin-right:0;margin-left:0\"><table style=\"border-width:25px\"><tbody><tr><td colspan=\"2\"><strong>\u5eb7\u85dd\u6643 \u526f\u6559\u6388, Yi-Huang Kang, PhD\/ Associate Professor<\/strong><br>\u570b\u7acb\u4e2d\u5c71\u5927\u5b78\u8cc7\u8a0a\u7ba1\u7406\u5b78\u7cfb \u9ad8\u96c4\u5e02\u9f13\u5c71\u5340\u84ee\u6d77\u8def 70 \u865f<br>\u96fb\u8a71\uff1a(O) 886-2-5252000 \u8f49 4737<br>\u4fe1\u7bb1\uff1aykang@mis.nsysu.edu.tw<\/td><\/tr><tr><th>\u5b78\u6b77<\/th><td>\u7f8e\u570b\u5339\u8332\u5821\u5927\u5b78\u8cc7\u8a0a\u79d1\u5b78\u535a\u58eb<br>\u7f8e\u570b\u5339\u8332\u5821\u5927\u5b78\u8cc7\u8a0a\u79d1\u5b78\u78a9\u58eb<br>\u570b\u7acb\u96f2\u6797\u79d1\u6280\u5927\u5b78\u8cc7\u8a0a\u7ba1\u7406\u5b78\u58eb<\/td><\/tr><tr><th>\u7d93\u6b77<\/th><td>2022\/02~\u8fc4\u4eca\uff1a\u570b\u7acb\u4e2d\u5c71\u5927\u5b78\u8cc7\u8a0a\u7ba1\u7406\u5b78\u7cfb \u526f\u6559\u6388<br>2015\/02~2022\/01\uff1a\u570b\u7acb\u4e2d\u5c71\u5927\u5b78\u8cc7\u8a0a\u7ba1\u7406\u5b78\u7cfb \u52a9\u7406\u6559\u6388<br>2023\/08~\u8fc4\u4eca\uff1a\u9ad8\u96c4\u91ab\u5b78\u5927\u5b78\u91ab\u52d9\u7ba1\u7406\u66a8\u91ab\u7642\u8cc7\u8a0a\u5b78\u7cfb \u5408\u8058\u526f\u6559\u6388<br>2017~2019\uff1a\u8cc7\u7b56\u6703\u6578\u4f4d\u6559\u80b2\u7814\u7a76\u6240 \u8b1b\u5e2b<br>2014~2015\uff1a\u7f8e\u570b\u5339\u8332\u5821\u5927\u5b78\u5065\u5eb7\u653f\u7b56\u8207\u7ba1\u7406\u90e8\u9580 Senior Data Analyst<br>2009~2014\uff1a\u7f8e\u570b\u5339\u8332\u5821\u5927\u5b78\u91ab\u5b78\u4e2d\u5fc3 Senior Programmer<\/td><\/tr><tr><th>\u7814\u7a76\u9818\u57df<\/th><td>1. Temporal Data Mining<br>2. Enterprise Data Management<br>3. Scalable Data Analytics<br>4. Health Informatics<br>5. Business Process Mining<\/td><\/tr><tr><th>\u7814\u7a76\u8a08\u756b<\/th><td><strong>\u570b\u79d1\u6703\u8a08\u756b<\/strong><br>2021\/08\/01~2022\/07\/31\uff1a\u4ee5\u5c08\u5bb6\u8ff4\u8def\u52a0\u901f\u6a5f\u5668\u5b78\u7fd2-\u4ee5\u7cbe\u6e96\u7528\u85e5\u70ba\u4f8b, \u4e3b\u6301\u4eba<br>2020\/08\/01~2021\/07\/31\uff1a\u5efa\u7acb\u516c\u5e73\u3001\u8ca0\u8cac\u3001\u8207\u900f\u660e\u7684\u667a\u6167\u5546\u52d9\u61c9\u7528: \u53ef\u89e3\u91cb\u7684\u591a\u6a21\u614b\u7279\u5fb5\u5b78\u7fd2, \u4e3b\u6301\u4eba<br>2019\/08\/01~2020\/07\/31\uff1a\u5efa\u7acb\u516c\u5e73\u3001\u8ca0\u8cac\u3001\u8207\u900f\u660e\u7684\u667a\u6167\u5546\u52d9\u61c9\u7528\ufe30\u53ef\u89e3\u91cb\u7684\u6975\u5ea6\u591a\u6a19\u7c64\u7279\u5fb5\u5b78\u7fd2, \u4e3b\u6301\u4eba<br>2018\/08\/01~2019\/07\/31\uff1a\u5efa\u7acb\u516c\u5e73\u3001\u8ca0\u8cac\u3001\u8207\u900f\u660e\u7684\u667a\u6167\u5546\u52d9\u61c9\u7528\uff1a\u4f7f\u7528\u6df1\u5ea6\u898f\u5247\u68ee\u6797\u6f14\u7b97\u6cd5, \u4e3b\u6301\u4eba<br>2017\/08\/01~2018\/07\/31\uff1a\u57fa\u65bc\u7a00\u758f\u9650\u5236\u975e\u8ca0\u77e9\u9663\u5206\u89e3\u6cd5\u7684\u65b0\u8208\u4e3b\u984c\u767c\u73fe , \u4e3b\u6301\u4eba<br>2016\/08\/01~2017\/07\/31\uff1a\u57fa\u65bc\u5206\u6563\u5f0f\u6574\u5408\u6a39\u6982\u7387\u6a21\u578b\u7684\u5de8\u91cf\u8cc7\u6599\u6d41\u7a0b\u767c\u73fe, \u4e3b\u6301\u4eba<br>2016\/06\/01~2017\/05\/31\uff1a\u52de\u5de5\u85aa\u8cc7\u4e4b\u8da8\u52e2\u7814\u7a76: \u5de8\u91cf\u8cc7\u6599\u61c9\u7528\u5206\u6790, \u5171\u540c\u4e3b\u6301\u4eba<br>2015\/09\/01~2016\/08\/31\uff1a\u57fa\u65bc\u6a39\u72c0\u6982\u7387\u6a21\u578b\u7684\u6d41\u7a0b\u767c\u73fe\u2014\u4ee5\u91ab\u7642\u4fdd\u5065\u8cc7\u6599\u70ba\u4f8b, \u4e3b\u6301\u4eba<br><br><strong>\u5176\u4ed6\u59d4\u8a17\u8a08\u756b<\/strong><br>2022\/09\/01~2023\/08\/31\uff1a\u4f7f\u7528\u8005\u5e33\u865f\u884c\u70ba\u7570\u5e38\u5075\u6e2c\u6a21\u578b-\u65e5\u6708\u5149\u534a\u5c0e\u9ad4\u88fd\u9020\u80a1\u4efd\u6709\u9650\u516c\u53f8\u59d4\u6258, \u4e3b\u6301\u4eba<br>2021\/07\/01~2022\/06\/30\uff1a\u5177\u5099\u52d5\u614b\u8cc7\u6e90\u914d\u7f6e\u4e4b MLOps \u5e73\u53f0-\u806f\u83ef\u96fb\u5b50\u80a1\u4efd\u6709\u9650\u516c\u53f8\u59d4\u6258, \u4e3b\u6301\u4eba<br>2018\/01\/01~2021\/12\/31\uff1a\u958b\u767c\u667a\u6167\u578b\u7684\u81e8\u5e8a\u7167\u8b77\u8207\u5065\u5eb7\u653f\u7b56\u8a55\u4f30\u7cfb\u7d71-\u4ee5\u7cd6\u5c3f\u75c5\u5168\u75be\u75c5\u6a21\u578b\u70ba\u4f8b-\u570b\u5bb6\u885b\u751f\u7814\u7a76\u9662\u59d4\u8a17, \u5171\u540c\u4e3b\u6301\u4eba<br>2018\/07\/01~2020\/12\/31\uff1a\u8cc7\u6599\u6574\u5408\u5206\u6790\u5e73\u53f0-\u806f\u83ef\u96fb\u5b50\u80a1\u4efd\u6709\u9650\u516c\u53f8\u59d4\u6258, \u4e3b\u6301\u4eba,<br>2019\/01~2019\/11\uff1a\u6d88\u8cbb\u5ba2\u7fa4\u5f71\u50cf\u8fa8\u8b58\u6a21\u578b\u958b\u767c\u8207\u8a2d\u8a08<br>-\u5354\u540c\u6578\u4f4d\u80a1\u4efd\u6709\u9650\u516c\u53f8\u59d4\u6258, \u4e3b\u6301\u4eba<br>2017\/01\/01~2017\/12\/31\uff1a\u4ee5\u6a39\u72c0\u534a\u99ac\u53ef\u592b\u6a21\u578b\u5075\u6e2c\u85e5\u7269\u4ea4\u4e92\u4f5c\u7528\u8207\u5fc3\u8840\u7ba1\u98a8\u96aa\u4e4b\u76f8\u95dc\u6027-\u570b\u7acb\u4e2d\u5c71\u5927\u5b78\u8207\u9ad8\u96c4\u91ab\u5b78\u5927\u5b78\u5408\u4f5c\u7814\u7a76\u8a08\u756b\u59d4\u6258, \u5171\u540c\u4e3b\u6301\u4eba<br>2016\/01\/02~2016\/12\/31\uff1a\u4ee5\u8cc7\u6599\u63a2\u52d8\u6280\u8853\u63a2\u7d22\u85e5\u7269\u4ea4\u4e92\u4f5c\u7528\u5f15\u8d77\u6025\u6027\u814e\u640d\u50b7\u4e4b\u98a8\u96aa-\u570b\u7acb\u4e2d\u5c71\u5927\u5b78\u8207\u9ad8\u96c4\u91ab\u5b78\u5927\u5b78\u5408\u4f5c\u7814\u7a76\u8a08\u756b\u59d4\u6258, \u5171\u540c\u4e3b\u6301\u4eba<\/td><\/tr><tr><th>\u4ee3\u8868\u6027\u7814\u7a76\u8ad6\u6587<\/th><td><strong>\u671f\u520a\u8ad6\u6587<\/strong><br>1. S.-Y. Chien, S.-F. Chao, Y. Kang, C. Hsu, M.-H. Yu, and C.-T. Ku,, Understanding Predictive Factors of Dementia for Older Adults: A Machine Learning Approach for Modeling Dementia Influencers, International Journal of Human-Computer Studies, Vol.165, 2022<br>2. Y. Kang, S.-T. Huang, and P.-H. Wu, Detection of Drug\u2013Drug and Drug\u2013Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests, SN Computer Science, Vol.2, No.4, 2021, pp.299 (Artificial Intelligence for HealthCare, Springer Nature)<br>3. 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 &amp; specialty pharmacy, Vol.24, No.5, 2018, pp.478-486<br>4. 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<br>5. SM Altawalbeh, CT Thorpe, JC Zgibor, S Kane\u2010Gill, Y Kang, JM Thorpe, Antileukotriene Agents Versus Long\u2010Acting Beta\u2010Agonists in Older Adults with Persistent Asthma: A Comparison of Add\u2010On Therapies, Journal of the American Geriatrics Society, 2016<br>6. 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<br>7. Y. Kang, V. Zadorozhny, Process Monitoring using Maximum Sequence Divergence, Knowledge and Information Systems (KAIS), Vol.48, 2015, pp.81-109<br>8. H. Degenholtz, Y. Kang, S. Hardy, Chronic Disease and Disability: Primary Care Can Moderate Decline in Physical Function Over Time, Gerontologist, No.53, 2013<br>9. 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<br>10. H. Degenholtz, S. Hardy, Y. Kang, Chronic Disease and Disability: Longitudinal Analysis of MCBS Data, Gerontologist, No.52, 2012<br>11. 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<br><br><strong>\u7814\u8a0e\u6703\u8ad6\u6587<\/strong><br>1. Chan Hsu, Chan-Tung Ku, Yuwen Wang, Minchen Hsieh, Jun-Ting Wu, Yunhsiang Hsieh, PoFeng Chang, Yimin Lu, Yihuang Kang, A Teacher-Student Knowledge Distillation Framework for Enhanced Detection of Anomalous User Activity, IEEE 24th International Conference on Information Reuse and Integration for Data Science, Bellevue, WA, USA , 4~ 6 2023<br>2. Chan Hsu, Wei-Chun Huang, Jun-Ting Wu, Chih-Yuan Li, Yihuang Kang, Toward Transparent Sequence Models with Model-Based Tree Markov Model, 2023 IEEE 6th International Conference on Multimedia Information Processing and Retrieval, Singapore, ~ 2023<br>3. Y. Kang, Y.-W. Chiu, M.-Y. Lin, F. Su, and S.-T. Huang, Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning, 2021 IEEE 22st International Conference on Information Reuse and Integration for Data Science (IEEE Workshop on AI for HealthCare), Virtual Conference, 2021, pp.342-347<br>4. B. Kuo, Y. Kang, P. Wu, S.-T. Huang, Y. Huang, Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests, 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IEEE Workshop on AI for HealthCare), Virtual Conference, 2020, pp.385-390<br>5. Y Kang, IL Cheng, W Mao, B Kuo, PJ Lee, Towards Interpretable Deep Extreme Multi-label Learning, IEEE 20th International Conference on Information Reuse and Integration for Data Science, Los Angeles, CA, USA, 2019 <br>6. 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 <br>7. 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<br>8. 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\u2013368, Pittsburgh, PA, 2016<br><\/td><\/tr><tr><th>\u5b78\u8853\u69ae\u8000<\/th><td>2020 \u5091\u51fa\u6821\u53cb,\u96f2\u6797\u79d1\u6280\u5927\u5b78\u7ba1\u7406\u5b78\u9662<br>2016 \u9038\u4ed9\u65b0\u9032\u7ba1\u7406\u5b78\u8005\u734e, \u4e2d\u5c71\u5927\u5b78\u7ba1\u7406\u5b78\u9662<br>2014 Recognition of Services, University of Pittsburgh School of Medicine<br>2013 SAS Certified Statistical Business Analyst<br>2009 Microsoft Certified Technology Specialist<br>2007 SAS Certified Base Programmer<br>2004 Sun Certified Programmer for the Java 2<br>2003 Linux Professional Institute Certification<\/td><\/tr><tr><th>\u500b\u4eba\u7c21\u4ecb\u7db2\u9801<\/th><td><a href=\"https:\/\/scholar.google.com\/citations?user=szfu6wkAAAAJ&amp;hl=en\nhttps:\/\/ykang.mis.nsysu.edu.tw\/\">https:\/\/scholar.google.com\/citations?user=szfu6wkAAAAJ&amp;hl=en<br>https:\/\/ykang.mis.nsysu.edu.tw\/<br><\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>\u5eb7\u85dd\u6643 \u526f\u6559\u6388, Yi-Huang Kang, PhD\/ Associate Professor\u570b\u7acb\u4e2d\u5c71\u5927\u5b78\u8cc7 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-no-title","meta":{"footnotes":""},"class_list":["post-675","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ih3.mis.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/675","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ih3.mis.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ih3.mis.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ih3.mis.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ih3.mis.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=675"}],"version-history":[{"count":14,"href":"https:\/\/ih3.mis.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/675\/revisions"}],"predecessor-version":[{"id":2111,"href":"https:\/\/ih3.mis.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/675\/revisions\/2111"}],"wp:attachment":[{"href":"https:\/\/ih3.mis.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=675"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}