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蔣耀毅, Ph.D.研究員,Information Sciences Institute University of Southern California 講師, Spatial Sciences Institute University of Southern California Email: yaoyichi_at_gmail_dot_com |
[Curriculum Vitae] [研究] [專案項目] [教學] [論文發表] [影片] [獎項] [專利] [業界經驗] [資料分享] [English Version] |
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我的研究領域是資訊整合 (information integration)，專注於異質空間與時間資訊的發掘、擷取、與整合 (discovery, extraction, and fusion of spatiotemporal data from heterogeneous sources)。
我目前研究興趣是地理資訊整合 (geographic information integration) 。地理資訊是空間資訊的一種 - 地理資訊描述地球空間上的實體，例如: 道路、房屋、車輛。
從我發表過的論文產生的關鍵字組:
這是一些我定期參加的研討會: the ACM SIGSPATIAL international conference on advances in geographic information systems (ACM GIS), international conference on document analysis and recognition (ICDAR), IAPR international workshop on graphics recognition (GREC), and international conference on pattern recognition (ICPR).
My Ph.D. dissertation (completed in 2010) and prior industry experiences focused on general techniques that enable geographic information systems (GISs) to access geographic information (spatial information in geographical space) “locked” in heterogeneous map images and integrate the geographic information from map images with other spatial data. These techniques exploit location-based information and common map properties to automatically discover map images on the Internet and convert map images into GIS accessible data formats, such as machine editable text and vectors (points, lines, and polygons). The results are spatially registered data (e.g., named road data) that are fused with existing datasets and can be used in spatial analyses. To operationalize the findings of this research, I built a map processing system called Strabo, which has been demonstrated to various U.S. government agencies and research institutions.
歷史地理資訊擷取
Recent research efforts have examined techniques for processing historical data to enable chronicled spatiotemporal analysis of demographic changes. In collaboration with Professor Stefan Leyk from the Geography Department at the University of Colorado, we presented the first general technique that minimizes user efforts for extracting geographic data (e.g., locations of roads) from historical maps that have limited graphical quality. This technique is an advancement from previous approaches, which generally rely on intensive manual work and require expert knowledge to fine-tune parameters for the applied techniques and thus are not readily usable by non-expert users.
講師, Spatial Databases, University of Southern California (GEOG 582, 2011 夏季及秋季學期)
講師 (with Craig A. Knoblock), Geospatial Data Integration, University of Southern California (CSCI 599, 2011 春季學期) Course Syllabus
助教, Information Integration on the Web, University of Southern California (CSCI 548, 2009 春季學期) Course Syllabus
以下影片介紹我們的地圖處理系統, Strabo:
Strabo Demonstration: extracting named road vector data from an open source map
[mp4 video download] [avi video download]
The 2nd Best Paper award of the 4th Annual Intelligent Systems Division Graduate Student Symposium (2009)
The 2nd Best Paper award of the 3th Annual Intelligent Systems Division Graduate Student Symposium (2008)
The Viterbi School Doctoral Fellowship (2007 to 2011)
Research scientist@Fetch Technologies
Research scientist@Geosemble Technologies
Software engineer@笛林傑國際科技
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