Profile

Ting-Chun Peng (Mark Peng)

“Treat everyday as a learning day. Strive to IT."

Contact: markpeng.ntu at Gmail

Introducing Representative Works

LinkedIn Profile: http://tw.linkedin.com/in/markpeng

 

Education:

  • MS, Dept. of Information Management, National Taiwan University, Taipei, Taiwan, 2006-2008.
  • BS, Dept. of Social Welfare (minor in Dept. of Information Management), National Chung Cheng University, Chia-Yi, Taiwan, 2002-2006.
  • Taipei Municipal Jianguo High School, Taiwan, 1999-2002.

Working Experiences:

  • Senior Data Analytics Manager, Exosite, Jan. 2016-present.
  • RD Manager & Big Data Scientist, Uitox Corporation, Nov. 2013-Dec. 2015.
  • Senior Engineer, GCCA Inc., Sept. 2011-Oct. 2013.
  • R&D Engineer, Innovative DigiTech-Enabled Applications & Services Institute (IDEAS), Institute for Information Industry (III), Taipei, Taiwan, Sept. 2008-2011.

Internship Experiences:

  • System Developer & Programmer, Intelligent Agent Systems Lab (IASL), Institute of Information Science, Academia Sinica, Taipei, Taiwan, 2006-2008.
  • Research Assistant, Institute of Taiwan History, Academia Sinica, Taipei, Taiwan, 2003-2005.

Awards:

  • Institute for Information Industry – Annual Innovative R&D Awards, Bronze Medal, 2010.
  • Honorary Member of “The Phi Tau Phi Scholastic Honor Society" since 2006. [link]
  • Principal Award of National Chang Cheng University for outstanding students in 2nd semester, 2004.
  • Principal Award of National Chang Cheng University for outstanding students in 1st semester, 2003.
  • Principal Award of National Chang Cheng University for outstanding students in 2nd semester, 2003.
  • Principal Award of National Chang Cheng University for outstanding students in 2nd semester, 2002.

Participated/Involved Activities:

  • Oral Presentation, The Fifth International Conference on Digital Information Management (ICDIM ’10), in Thunder Bay, Canada, 2010. [link]
  • Oral Presentation, International Conference on Information Engineering and Computer Science (ICIECS ’09), in Wuhan, China, 2009. [link]
  • The Third Blogger Top 100 Campaign (held by IDEAS, III), 2010. [link]
  • The Second Blogger Top 100 Campaign (held by IDEAS, III), 2009. [link]
  • Top 100 Cuisine Guide Campaign (held by IDEAS, III), 2009. [link]

Research/Practical Interests:

  • Social Influence Analytics on Plurk and Facebook
  • Opinion (Sentiment) Mining in Chinese User-Generated Content (UGC)
  • Chinese Named Entity Recognition, including cuisine names, person names
  • Blogger Expertise Analysis (部落客百傑 – Blogger Top 100 Campaign held by IDEAS, III)
  • Focused Web Crawling for News, Blogs, Forums, BBS, and Micro-blogs, such as Plurk, Facebook and Twitter (using C#, Java)
  • Web Template Extraction via Visualized Learning Tool (InfoViz)
  • Web Mining, Information Retrieval, Social Network Analysis, etc.
  • Machine Learning Techniques

Publications:

  • 2011
  1. Ji Eun Kim, Yang Hu, Shi-Kuo Chang, Chia-Chun Shih and Ting-Chun Peng, “Design and Modeling of Topic/Trend Detection System By Applying Slow Intelligence System Principles," Proceedings of the 17th International Conference on Distributed Multimedia Systems (DMS ’11), 2011. [pdf]
  2. Shi-Kuo Chang, Yao Sun, Yingze Wang, Chia-Chun Shih and Ting-Chun Peng, “Design of Component-based Slow Intelligence Systems and Application to Social Influence Analysis," Proceedings of 2011 International Conference on Software Engineering and Knowledge Engineering, Miami, USA, July 7-9, pp. 9-16, 2011.
  3. Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Shou-De Lin, Ting-Chun Peng and Chia-Chun Shih, “Assessing the Quality of Diffusion Models using Real-World Social Network Data," The 16th Conference on Technologies and Applications of Artificial Intelligence (TAAI’11), 2011.
  • 2010
  1. Ting-Chun Peng, Chia-Chun Shih, “An Unsupervised Snippet-Based Sentiment Classification Method for Chinese Unknown Phrases without Using Reference Word Pairs," IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT ’10), vol. 3, pp.243-248, 2010. [link] [pdf]
  2. Ting-Chun Peng, Chia-Chun Shih, “Using Chinese Part-of-Speech Patterns for Sentiment Phrase Identification and Opinion Extraction in User Generated Reviews," Fifth International Conference on Digital Information Management (ICDIM ’10), 2010. [link]
  3. Shi-Kuo Chang, Emilio Zegarra, Chia Chun Shih, Ting-Chun Peng, Francesco Colace and Massimo De Santo, “Ontological Filters for Slow Intelligence Systems," Proceedings of the 16th International Conference on Distributed Multimedia Systems (DMS ’10), pp.33-40, 2010. [link] [pdf]
  4. Chia Chun Shih, Ting-Chun Peng, “Building Topic/Trend Detection System based on Slow Intelligence," Proceedings of the 16th International Conference on Distributed Multimedia Systems (DMS ’10), pp.53-56, 2010. [link] [pdf]
  • 2009
  1. Ting-Chun Peng, Chia-Chun Shih, “Mining Chinese Restaurant Reviews for Cuisine Name Extraction: An Application to Cuisine Guide Service," International Conference on Information Engineering and Computer Science (ICIECS ’09), 2009. [link]
  2. Ting-Chun Peng, Seng-Cho T. Chou, “iTrustU: A Blog Recommender System Based on Multi-faceted Trust and Collaborative Filtering," Proceedings of the 2009 ACM symposium on Applied Computing (SAC ’09), pp.1278-1285, 2009. [link]
    Cited by Sangmi Chai et al., “Factors Affecting Bloggers’ Knowledge Sharing: An Investigation Across Gender," Journal of Management Information Systems (JMIS), Vol. 28, No. 3, pp. 309–341, 2012. Impact Factor: 2.662 (Year 2010).
  3. Tse-Ming Tsai, Chia-Chun Shih, Ting-Chun Peng and Seng-Cho T. Chou, “Explore the Possibility of Utilizing Blog Semantic Analysis for Domain Expert and Opinion Mining," Proceedings of the 2009 International Conference on Intelligent Networking and Collaborative Systems (INCOS ’09), 2009. [link]
  4. Chia-Chun Shih, Ting-Chun Peng and Wei-Shen Lai, “Mining the Blogosphere to Generate Local Cuisine Hotspots for Mobile Map Service," Fourth International Conference on Digital Information Management (ICDIM ’09), pp.152-159, 2009. [link]

Book Translation:

  • Kenneth C. Laudon and Carol G. Traver, “E-commerce: Business, Technology, Society“, 3rd ed., Prentice Hall, 2007. (Chinese Translation for Chapter 9: “Ethical, Social, and Political Issues in E-commerce“)

Programming Techniques:

  • Java, C#, Python, C/C++, ASP .NET, JSP, CSS, Javascript, jQuery, Octave

Technical Expertise:

  • Search Engine: Lucene, Solr, Nutch
  • Distributed NoSQL: Redis, MongoDB, HandlerSocket
  • Data Mining Tools: LibSVM, Weka, Octave
  • Visualization Tools: GraphViz, Grappa, Prefuse, Processing
  • SNA Tools: Pajek, C#UNG, NodeXL
  • Statistics: SPSS
  • Linux Kernel Compilation: Debian/Ubuntu Linux
  • Server Virtualization: VMware View, Citrix XenDesktop/XenApp, Microsoft Hyper-V
  • Protocol Implementations: HTTP/HTTPS, HTML5 Websocket (Hyby00, Hyby10, RFC6455), Microsoft RDP (Remote Desktop Protocol)
  • Windows cluster and Linux Enterprise HA cluster Deployment & Management; Linux Virtual Server Network Architecture Design & Deployment
  • Benchmarking and Performance Measurement: Benchmarking Tools and Methodologies for measuring/testing/analyzing Computing Performance and Network Throughput of hardware/software products.
  • Application Virtualization: App-V, Thin App

Professional Certificates:

  • Oracle Certified Java SE 6/SE 5 Programmer (SCJP 6), 2009
  • MongoDB for Developers [pdf], certified by MongoDB Inc., 2014
  • MongoDB for Java Developers [pdf], certified by MongoDB Inc., 2014
  • Stanford Machine Learning by Andrew Ng [pdf], certified by Coursera, 2014
  • R Programming [pdf], certified by Coursera, 2014
  • Introduction to Data Science [pdf], certified by Coursera, 2014
  • Mining Massive Datasets, Stanford University, certified by Coursera, 2014
  • Statistical Learning, Stanford University, 2015
  • The Analytics Edge, MIT, certified by edX, 2015
  • Big Data XSeries (BerkeleyX), certified by edX, 2015
  • Neural Networks for Machine Learning (by Geoffrey Hinton), University of Toronto certificated, certified by Coursera, 2017
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