Haodong Yang, Ph.D. Candidate

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1 Haodong Yang, Ph.D. Candidate College of Computing and Informatics Drexel University, Philadelphia, PA Cell: +1(215) EDUCATION Ph.D., Information Studies Drexel University GPA: 3.88 out of 4.0 Sept 2011 Present M.S., Information Science Beijing Normal University, China GPA 3.54 out of 4.0 (top 10%) Sept 2008 June 2011 B.S., Information Management and Information System Beijing Normal University, China GPA 3.53 out of 4.0 (top 10%) Sept 2004 June 2008 RESEARCH INTERESTS Social Media Analytics Text/Web/Data Mining Machine Learning/Statistical Modeling Healthcare Informatics RESEARCH EXPERIENCES Research Assistant (Supervised by Dr. Christopher C. Yang) Drexel University Project: Post-marketing Pharmacovigilance from Social Media Sept 2011 Present Aimed at detecting drug safety signals from consumer-contributed contents Developed web crawler to collect data from online health communities Applied association rule mining techniques to identify signals of both adverse drug reactions and drug-drug interactions Used temporal analysis and tensor-based techniques to timely detect signals of adverse drug reactions Built various machine learning models for adverse drug reaction detection and drug-drug interaction detection from heterogeneous healthcare networks Project: Twitter Mining for Understanding Electronic Cigarette Marketing Strategy Feb 2014 June 2015 (With University of Southern California Keck School of Medicine, and supported by National Cancer Institute and FDA Center for Tobacco Products) Aimed at understanding e-cigarette companies marketing their products via social media Developed web crawler to collect data from Twitter Explored the presence and actions of an e-cigarette to observe how marketing messages are sent and diffused through the use of the retweet functionality Applied social network analysis techniques to determine the various retweet networks of users who are being exposed to e-cigarette messages Employed content analysis techniques to illustrate how the retweet network can affect which messages spread 1 / 5

2 Project: Social Media Mining for Improving Information Dissemination Strategies Sept 2011 Nov 2013 (Supported by the Children s Hospital of Philadelphia) Aimed to develop and apply methods for improving healthcare information dissemination and healthcare intervention by stakeholders through social media Developed web crawler to collect data from Twitter Adapted social network analysis techniques to analyze the spread of health messages within a Twitter network Utilized Principal Components Analysis and hierarchical cluster analysis to determine Twitter users segments for better targeting strategies of health messages Project: Implicit Relationships Identification among Social Media Users Sept Mar 2013 Aimed at improving performance of recommendation systems by identifying social media users that have common interests but are not explicitly connected Employed spectral analysis techniques to identify implicit relationships among social media users Developed gold standard to evaluate the proposed techniques Project: Facebook Event Monitoring Sept July 2012 (With Department of Criminal Justice of Temple University, and supported by Philadelphia Police Department) Aimed to surveil violent flash mobs in Philadelphia for strategic patrolling through social media Designed prototype to monitor the number of participants of Facebook events Implemented data collection module of the Facebook event monitor Research Assistant (Supervised by Dr. Yan Quan Liu) Beijing Normal University Project: Digital Library Review Sept 2010-July 2011 Cooperated with the journal of Digital Library Forum in order to introduce and review digital libraries in the United States for Chinese subscribers Analyzed various American digital libraries, including their digital collection and organization, service provided, and technologies employed Documented research findings for publication Research Assistant (Supervised by Dr. Qian Geng) Beijing Normal University Project: Criterion Development for Evaluating University Libraries Sept 2009-July 2010 Led a three-member team in order to develop a set of new criteria for evaluating university libraries Employed Delphi method and Analytic Hierarchy Process for the criterion development TEACHING EXPERIENCES Graduate Level INFO526 (Information, Innovation & Technology in Advanced Nursing Practice): Teaching Assistant (Summer 2014) INFO624 (Information Retrieval Systems): Teaching Assistant (Fall 2014) Undergraduate Level INFO110 (Human-Computer Interaction I): Teaching Assistant (Summer 2015), and offered one lecture INFO204 (Nursing Informatics): Teaching Assistant (Spring 2015; Fall 2015) 2 / 5

3 INTERNSHIP EXPERIENCES Research Associate Intern Navitas, TAKE Solutions, Princeton, NJ Jan 2015-Mar 2015 Developed web crawler to collect drug-related consumer-contributed contents from online health communities Cleaned data and designed database for data storage and update Applied association rule mining techniques to identify adverse drug reaction signals Software Engineer Intern sobey Digital Technology Co., Ltd., Beijing, China Oct 2009-Dec 2009 Disassembled and analyzed algorithms used by various image processing software Tested plug-ins of video and graphic processing software and documented testing reports PUBLICATIONS Publications in Referred Journals V. Kandadai, H. Yang, L. Jiang, C. C. Yang, L. Fleisher, and F. Winston, Measuring Health Information Dissemination and Identifying Target Interest Communities on Twitter: Case Study Network, JMIR Research Protocols, accepted for publication. K. Chu, J. B. Unger, J. Allem, M. Pattarroyo, D. Soto, T. Cruz, H. Yang, L. Jiang, and C. C. Yang, Diffusion of messages from an electronic cigarette brand to potential users through Twitter, PLOS ONE, 2015, 10(12). H. Yang and C. C. Yang, Using Health Consumer Contributed Data to Detect Adverse Drug Reactions by Association Mining with Temporal Analysis, ACM Transactions on Intelligent Systems and Technology (TIST), 2015, 6(4): article 55, 27 pages. C. C. Yang, H. Yang, L. Jiang, Postmarketing Drug Safety Surveillance using Publicly Available Health Consumer Contributed Content in Social Media, ACM Transactions on Management Information Systems (TMIS), 2014, 5(1): C. C. Yang, X. Tang, Q. Dai, H. Yang, L. Jiang, Identifying Implicit and Explicit Relationships through User Activities in Social Media, International Journal of Electronic Commerce, 2013, 18(2) : H. Yang, L. Jiang, and G. Li, The Hotspot of Natural Language Processing in China: Based on Co-word Analysis, Library and Information Service, 2011, 55(10): M. Xiao, G. Li, and H. Yang, The Hotspot of Information Resource Management in China: Based on Co-word Analysis, Information Science, 2011, (4): Y. Q. Liu, H. Yang, L. Jiang, K. Chi and R. Zhao, Ames Imaging Library System- A Source of NASA's Images & Photos, Digital Library Forum, 2011, (9): Y. Q. Liu, L. Jiang and H. Yang, Computational Science Education Reference Desk, Digital Library Forum, 2011, (2): Y. Q. Liu, L. Jiang, H. Yang, and X. Zhang, Visible Earth A Digital Library of Images and Animations of Our Home Planet, Digital Library Forum, 2010, (12), Publications in Referred Conference Proceedings and Workshop Proceedings H. Yang and C. C. Yang, Mining Heterogeneous Healthcare Networks Extracted from Health-Consumer-Contributed Contents for Adverse Drug Reaction Detection, the 25th Workshop on Information Technologies and Systems (WITS 2015), Richardson, TX, December 12-13, (Best Paper Nomination) 3 / 5

4 C. C. Yang and H. Yang, Exploiting Social Media with Tensor Decomposition for Pharmacovigilance, in Proceedings of 2015 IEEE 15th International Conference on Data Mining Workshops (ICDMW 2015), pp H. Yang and C. C. Yang, Mining a Weighted Heterogeneous Network Extracted from Healthcare-Specific Social Media for Identifying Interactions between Drugs, in Proceedings of 2015 IEEE 15th International Conference on Data Mining Workshops (ICDMW 2015), pp H. Yang and C. C. Yang, Drug-Drug Interactions Detection from Online Heterogeneous Healthcare Network, in Proceedings of 2014 IEEE International Conference on Healthcare Informatics (ICHI 2014), pp (Best Paper Award) H. Yang, J. Li, C. C. Yang, V. Kandadai and F. Winston, A Content-Based Approach to Identify the Target Users for Health Intervention in Social Media A Case Study on SafetyMD, Medicine 2.0 Congress, London, England, September 23-24, H. Yang and C. C. Yang, Harnessing Social Media for Drug-Drug Interactions Detection, in Proceedings of 2013 IEEE International Conference on Healthcare Informatics (ICHI 2013), pp V. Kandadai, H. Yang, L. Jiang, S. Hill, C. Norris, C. C. Yang, F. K. Winston, Incorporating Twitter chats into health information dissemination strategies, The International Society for Research on Internet Interventions (ISRII) 6th Scientific Meeting, Chicago, IL, May 16-18, (Top 5 out of 150 posters) V. Kandadai, H. Yang, L. Jiang, C. C. Yang, F. K. Winston. Creating a ripple: Understanding a dilution effect of health messaging within a Twitter network, The International Society for Research on Internet Interventions (ISRII) 6th Scientific Meeting, Chicago, IL, May 16-18, (Top 5 out of 150 posters) C. C. Yang, H. Yang, L. Jiang, and M. Zhang, Social Media Mining for Drug Safety Signal Detection, in Proceedings of 2012 ACM CIKM International Workshop on Smart Health and Wellbeing (SHB 2012), pp C. C. Yang, L. Jiang, H. Yang, and X. Tang, Detecting Signals of Adverse Drug Reactions from Health Consumer Contributed Content in Social Media, 2012 ACM SIGKDD Workshop on Health Informatics (HI-KDD 2012), Beijing, August 12, C. C. Yang, X. Tang, H. Yang, and L. Jiang, Identifying Implicit Relationships between Social Media Users to Support Social Commerce, in Proceedings of 2012 International Conference on Electronic Commerce (ICEC 2012), pp (Best Doctoral Research Paper Nominee) HONORS AND AWARDS : Graduate Teaching Assistantship, CCI at Drexel University : Graduate Research Assistantship, CCI at Drexel University 2014: Best Paper Award, ICHI : Student Travel Awards at SBP 2012, : Best Doctoral Research Paper Nominee, ICEC : University Third Prize Scholarship, Beijing Normal University TECHNICAL SKILLS Programming Language: Java, Matlab, R, Python, Assembly Database: MySQL Statistical and Analytical Software: RapidMiner, Weka, SPSS, Excel 4 / 5

5 Web Application Development: HTML, JSP/Servlet, PHP PROFESSIONAL SERVICES Workshop Co-chair: IEEE ICHI Workshop on Smart and Connected Health (SCH), 2015 Workshop Web Chair: IEEE ICDM Workshop on Intelligence and Security Informatics (ISI-ICDM), 2015 Conference Web Chair: IEEE International Conference on Healthcare Informatics (ICHI), 2013 Workshop Web Chair: ACM SIGKDD Workshop on Health Informatics (HI-KDD), 2012 Program Committee Member and Conference Reviewer: ISI-ICDM 2015, AMIA 2015 Annual Symposium, the ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) 2015 Journal Reviewer: Security Informatics, Electronic Commerce Research and Applications Member: Association for Information Systems (AIS) 5 / 5

M.S., Quantitative Finance, May 2009 Rutgers Business School - Newark and New Brunswick Rutgers, The State University of New Jersey, USA

M.S., Quantitative Finance, May 2009 Rutgers Business School - Newark and New Brunswick Rutgers, The State University of New Jersey, USA Keli Xiao, Ph.D. Contact Information Research Interests Harriman Hall 346 Tel: (631) 762-4760 College of Business Fax: (631) 632-9412 Stony Brook University E-mail: Keli.Xiao@stonybrook.edu Stony Brook,