|Last Modified Time: 11:46:46 AM Wed, 8 Oct 2014 |
|Associate Professor-Computer Science and Engineering|
| email@example.com (940) 369-8353 Web Link |
|Graduate Faculty Membership Status: Full Membership -Permanent |
University of Minnesota
|Semester||Subject||Course Number||Section||Course Name||Calculated Semester Credit Hours||Syllabus|| |
|Fall 2014||CSCE||4350||001||Introduction to Database Systems Design|| ||Download Syllabus|
|Fall 2012||CSCE||4350||001||Introduction to Database Systems Design|| ||Download Syllabus|
|Spring 2010||CSCE||6350||001||Advanced Topics in Database Design||75|| |
|Fall 2010||CSCE||5380||001||Data Mining||72|| |
|Fall 2010||CSCE||5350||001||Database Systems I||117|| |
|Fall 2009||CSCE||5380||001||Data Mining||87|| |
|Fall 2009||CSCE||5350||001||Database Systems I||120|| |
|Duration (YYYY - YYYY or Present)||Rank||Department / School||College / Office||University / Company|
|2009-Present||Associate Professor||Computer Science and Engineering||Engineering||University of North Texas|
|2003-2009||Assistant Professor||Coomputer Science and Engineering||Engineering||University of North Texas|
|Duration (YYYY - YYYY)||Percentage Teaching||Percentage Research||Percentage Service|
| Year||Publication|| Type|
Low Cost Region Detection from Distributed Sensor Observations in proc. of 11th International Conference on Mobile Data Management, Best Paper Runner Up
Chengyang Zhang, Yan Huang
|Remote Near-Real-Time Environmental Monitoring with Integrated Wired and Wireless Sensors Springer/ACM Wireless Networks 16(4): 1091-1108|
Jue Yang, Chengyang Zhang, Xinrong Li, Yan Huang, Shengli Fu, Miguel Acevedo
Springer/ACM Wiireless Networks
|Refereed(Peer reviewed) Journals|
|T-Drive: Driving Directions Based on Taxi Trajectories in proc. of The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS ) , pages: 99-108, Best Paper Runner Up|
Jing Yuan, Yu Zheng, Chengyang Zhang, Wenlei Xie, Xing Xie, Guangzhong Sun, Yan Huang
Quering Streaming Point Clusters as Regions in proc. of 1st International Workshop on GeoStreaming, Best Paper Runner Up
Chengyang Zhang, Yan Huang
Privacy Preserving Group Nearest Neighbour Queries in Location-based Services using Cryptographic Techniques in proc. of IEEE Global Communications Conference, pages 1-5
Yan Huang, Roopa Vishwanathan
| Performance Period||Title||Sponsor||Funding||Role||Status|
|2010-2013||III: Small: AegisDB: Integrated Real-Time Geo-Stream Processing and Monitoring System: A Data-Type-Based Approach||National Science Foundation||$450,562||Principal Investigator||Active|
|2009-2011||Low Cost Wireless Network Camera Sensors for Data Collection and Traffic Monitoring||Texas Department of Transporation (TXDoT)||$138,178||Principal Investigator||Active|
|2008-2010||SGER: Detecting and Maintaining Evolving Regions from Spatially and Temporally Varying Observations for Monitoring and Alerting||National Science Foundation||$90,000||Principal Investigator||Completed|
|2007-2010||CRI: IAD Infrastructure for Environmental Monitoring and Modeling using Large-Scale Sensor Networks||National Science Foundation||$250,000||Principal Investigator||Active|
|2006-2009||CI-TEAM Demonstration Project: Engaging Local Governments, Teachers and Students in CI for Environmental Monitoring and Modeling||National Science Foundation||$250,000||Co-PI||Completed|
|2006-2009||Energy Efficient Map Interpolation from Sensor Fields||Texas Advanced Research Program||$100,000||Principal Investigator||Completed|
|2004-2005||Query the Content of Material Science Images: an Integration of SQL and Map Algebra||Oak Ridge National Lab||$10,000||Principal Investigator||Completed|
|2004-Present||TX DOT Research Technical Assistance Panels in Support of the TX DOT Research Program||Texas Department of Transporation (TXDoT)||1,500||Principal Investigator||Active|
|Year||Agency/Organization||Field of Expertise|
|2011||SIM3, MDM|| |
|2010||APSIPA, ISI,IWGS, DKSS, CIKM, NSF panel|| |
|2009||ICMLA, ACM SIGSpatial GIS, WASA, DEXA, ICDM, SNAS, DKSS, ISI, APWeb-WAIM, SDM, GEOWS|| |
|2008||ICMLA, WASA, KDE, IADIS ECDM, FSKD, ACMGIS (treasurer), MDMM|| |
|2007||ICMLA, ICTAI, MDMM, SSTDM, ACMGIS (treasurer), FSKD (publicity chair), CIDM|| |
|2006||AIDM, DMSN, ICMLA, ICDM, WMDP, ICTAI, SIAM DM (session chair for collaborative mining), PAKDD|| |
|2005-||Several times as panelist for National Sicence Foundation||spatial databases|
|2004||IADIS Applied Computing, ACM GIS, GBDM|| |
|2004-||Texas Department of Transportation RMC 4, TAP member|| |
|2003-||Frequent reviewer for: VLDB journal , Geoinformatica, Computers, Environment and Urban Systems, Computers & Geosciences, DMKD, TKDE, KAIS, Journal of Data & Knowledge Engineering (DKE), Theoretical Computer Science, Pervasive and Mobile Computing ...|| |
The content various from each offering. A description of a recent offering is described below:
This course treats a specific advanced topic of current research interest in the area of spatio-temporal data processing and mining. The main objective of this class is to study research methods and literature in streaming database systems. Core research skills of literature analysis, innovation, evaluation of new ideas, and communication are emphasized via homework and projects. Most students may like to get a broad overview of the research topics, methodologies, major results, open problems and potential future directions. Major topics include: route prediction, spatio-temporal algorithms and data structures, spatio-temporal networks, geo-web, location-based social networks, and geo-stream databases.
This course will provide a broad and rapid introduction to the field of data mining. We will provide a general introduction to main data mining tasks, e.g. classification, clustering, association rules, and outlier detection, and some of the latest developments, e.g. mining spatial data and web data.
This course provides an introduction to the design and analysis of fundamental data structures and algorithms. Basic data structures to be covered including arrays, lists, stacks, queues, trees, heaps, priority queues, hash tables, and graphs. Algorithms include searching, sorting, tree and graph traversal using the above data structures. Algorithm analysis techniques will be emphasized when using the data structures for designing efficient algorithms. The objectives of this course are:
- Understand graph representations and algorithms.
- Understand time and space analysis for both iterative and recursive algorithms and be able to prove the correctness a non-trivial algorithm.
- Be able to translate high-level, abstract data structure descriptions into concrete code.
- Understand how real-world problems map to abstract graph problems.
- Be able to communicate clearly and precisely about the correctness and analysis of basic algorithms (both oral and written communication).A special emphasis is placed on programming and hands-on experience, meant to reinforce the theoretical aspects covered in lectures.
To give the students a solid understanding of the design and implementation of database management systems. At the end of the course, students will know how to design a database from conceptual level, covert the conceptual design to relational databases, writ SQL queries to retrieve relevant data from databases, and relational database theories that guild a good database design. Advanced topics such as transaction, access methods, query processing, data warehousing as well as emerging technology such as XML and data mining will be introduced.
|Duration (YYYY - YYYY or Present)||Student Name||Classification||Type||Project/Thesis/Dissertation|
|2009-Present||Jason Powell||Ph.D.||Graduate Research|| |
|2007-Present||Roopa Vishwanathan||Ph.D.||Graduate Research|| |
|2007-Present||Shu Chen||Ph.D.||Graduate Research|| |
|2006-Present||Chengyang Zhang||Ph.D.||Graduate Research|| |
|2004-Present||Terry Griffin||Ph.D.||Graduate Research|| |
|2007-2009||Cai Chen||Master's thesis||Graduate Research|| |
|2004-2006||Xiaohui Li||Master's thesis||Graduate Research|| |
|2003-2006||Liqin Zhang||Ph.D. student||Graduate Research|| |
|2003-2005||Ping Yu||Master's thesis||Graduate Research|| |
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