Siripen Pongpaichet

Ph.D. Candidate, Researcher

Siripen Pongpaichet is a PhD candidate in Computer Science at University of California, Irvine. She has been actively working with Professor Ramesh Jain, in Social Life Networks (SLN) lab for 5 years and counting. The fundamental goal of SLNs is to identify people’s needs in a given situation, locate appropriate resources to meet those needs, and connect them efficiently, effectively and promptly. She has been developing a macro situation-modeling platform for SLNs called EventShop. Eventshop is an open source framework that allows for ingestion of different data streams and converts them to a unifying space, time, and thematic (STT) representation. Her current research interests are in event information systems, database management systems, and situation recognition. Her PhD research topic is focused on multi-resolution spatial-temporal analysis across multimedia streams.

She completed her B.Sc in Computer Science with first class honors from Mahidol University, Thailand in 2008. For her research project, she worked on E-Advisory System which is an academic advisory system that simulates an actual human counselor. After graduating, she became a lecturer and software engineer at Mahidol University. By the end of 2009, she came to the United States to pursue her M.S in Computer Science from University of California, Irvine. She earned her M.S in Computer Science in 2011 while working under Professor Michael Carey for her thesis, Monitoring Console for Hyracks Platform. Hyracks Platform is a real time web based console to monitor data parallel platform running data-intensive jobs on a shared-noting cluster.

Journal Articles

  • Ramesh Jain, Laleh Jalali, Siripen Pongpaichet, Amarnath Gupta: Building Social Life Networks. IEEE Data Eng. Bull. 36(3): 91-98 (2013)

Conference and Workshop Papers

  • Minh-Son Dao, Koji Zettsu, Siripen Pongpaichet, Laleh Jalali, Ramesh Jain: Exploring spatio-temporal-theme correlation between physical and social streaming data for event detection and pattern interpretation from heterogeneous sensors. Big Data 2015: 2690-2699
  • Mengfan Tang, Pranav Agrawal, Siripen Pongpaichet, Ramesh Jain: Geospatial interpolation analytics for data streams in eventshop. ICME 2015: 1-6
  • Minh-Son Dao, Siripen Pongpaichet, Laleh Jalali, Kyoung-Sook Kim, Ramesh Jain, Koiji Zettsu: A Real-time Complex Event Discovery Platform for Cyber-Physical-Social Systems. ICMR 2014: 201
  • Siripen Pongpaichet, Vivek K. Singh, Mingyan Gao, Ramesh Jain: EventShop: recognizing situations in web data streams. WWW (Companion Volume) 2013: 1359-1368

Book Chapter

    Contribute a book chapter on using EventShop. Vivek K., Ramesh Jain: Situation Recognition Using EventShop. Published from Springer.

Presentations

Tutorials

  • 2016-06-06: Situation Recognition from Multimodal Data (ICMR 2016) coming soon
  • 2014-12-09: EventShop Open Source (NUS Summer School)

Conferences and Workshops

  • 2016-06-07: Using Photos as Micro-Reports of Events (BNI session, ICMR 2016) coming soon
  • 2015: Geospatial Interpolation Analytics for Data Streams in EventShop (ICME 2015) poster
  • 2014-06-23: Observing real world phenomena through event web over Space, Time, and Theme (WebSci 2014) slide
  • 2014-04-02: EvIM Event Information Management: A real-time complex event discovery platform for cyber-physical-social systems (ICMR 2014) slide
  • 2014-03-13: "Social Life Networks" EventShop and Personal EventShop (Web Observatory Workshop at USC) slide

Others

  • 2014-10-13: EventShop Demo (NUS Research Intern) slide