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Research Profile
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  Faculty Profile  Faculty ProfileLast Modified Time: 10:24:07 AM Thu, 30 Aug 2012 
 Yan  Huang
 Contact Information
Yan Huang
Associate Professor-Computer Science and Engineering
 
Office LocationF251 
Email  yan.huang@unt.edu    Contact Number 940-369-8353    Web Link Web Link   
Graduate Faculty Membership Status: Full Membership -Permanent   
toggle toggle Professional Preparation
 DegreeMajor/Thesis/DissertationInstitutionYear
 Ph.D.Computer ScienceUniversity of Minnesota2003
 B.S.Computer ScienceBeijing University1997
toggle toggle Courses Taught By Semester --- Organized Classes will be uploaded from THECB Data file
SemesterSubjectCourse NumberSectionCourse NameCalculated Semester Credit HoursSyllabus 
Fall 2012CSCE4350001Introduction to Database Systems Design Download Syllabus
Fall 2010CSCE5350001Database Systems I117 
Fall 2010CSCE5380001Data Mining72 
Spring 2010CSCE6350001Advanced Topics in Database Design75 
Fall 2009CSCE5350001Database Systems I120 
Fall 2009CSCE5380001Data Mining87 
toggle toggle Research and Expertise
spatio-temporal databases and mining, geo-stream data processing, spatial data integration, and geographic information systems (GIS)
 

toggle toggle Appointments
Duration (YYYY - YYYY or Present)RankDepartment / SchoolCollege / OfficeUniversity / Company
2009-PresentAssociate ProfessorComputer Science and EngineeringEngineeringUniversity of North Texas
2003-2009Assistant ProfessorCoomputer Science and EngineeringEngineeringUniversity of North Texas
toggle toggle Faculty Workload
Duration (YYYY - YYYY)Percentage TeachingPercentage ResearchPercentage Service
2013-2014305020
2012-2013305020
2011-2012305020
2010-2011305020
2009-2010305020
toggle toggle Publications
  Type  Publications per page   1  2 3 4 5 6 7 8 9 
  YearPublication  Type
2010
Published
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
 
Conference paper
2010
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
2010
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
 
Other
2010
Published
Quering Streaming Point Clusters as Regions
in proc. of  1st International Workshop on GeoStreaming,  Best Paper Runner Up

Chengyang Zhang, Yan Huang
 
Conference paper
2010
Published
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
 
Conference paper
toggle toggle External Funding
 Performance Period (YYYY - YYYY or Present)TitleSponsorFundingRoleStatus
2004-presentTX DOT Research Technical Assistance Panels in Support of the TX DOT Research ProgramTexas Department of Transporation (TXDoT)$1,500/yearPrincipal InvestigatorActive
2010-2013III: Small: AegisDB: Integrated Real-Time Geo-Stream Processing and Monitoring System: A Data-Type-Based ApproachNational Science Foundation$450,562Principal InvestigatorActive
2009-2011Low Cost Wireless Network Camera Sensors for Data Collection and Traffic MonitoringTexas Department of Transporation (TXDoT)$138,178Principal InvestigatorActive
2008-2010SGER: Detecting and Maintaining Evolving Regions from Spatially and Temporally Varying Observations for Monitoring and AlertingNational Science Foundation$90,000Principal InvestigatorCompleted
2007-2010CRI: IAD Infrastructure for Environmental Monitoring and Modeling using Large-Scale Sensor NetworksNational Science Foundation$250,000Principal InvestigatorActive
2006-2009CI-TEAM Demonstration Project: Engaging Local Governments, Teachers and Students in CI for Environmental Monitoring and ModelingNational Science Foundation$250,000Co-PICompleted
2006-2009Energy Efficient Map Interpolation from Sensor FieldsTexas Advanced Research Program$100,000Principal InvestigatorCompleted
2004-2005Query the Content of Material Science Images: an Integration of SQL and Map AlgebraOak Ridge National Lab$10,000Principal InvestigatorCompleted
toggle toggle Peer Reviewer Activities
YearAgency/OrganizationField of Expertise
2011SIM3, MDM 
2010APSIPA, ISI,IWGS, DKSS, CIKM, NSF panel 
2009ICMLA, ACM SIGSpatial GIS, WASA, DEXA, ICDM, SNAS, DKSS, ISI, APWeb-WAIM, SDM, GEOWS 
2008ICMLA, WASA, KDE, IADIS ECDM, FSKD, ACMGIS (treasurer), MDMM 
2007ICMLA, ICTAI, MDMM, SSTDM, ACMGIS (treasurer), FSKD (publicity chair), CIDM 
2006AIDM, DMSN, ICMLA, ICDM, WMDP, ICTAI, SIAM DM (session chair for collaborative mining), PAKDD 
2005-presentSeveral times as panelist for National Sicence Foundationspatial databases
2004-presentTexas Department of Transportation RMC 4, TAP member 
2004IADIS Applied Computing, ACM GIS, GBDM 
2003-presentFrequent 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 ... 
toggle toggle Teaching
Advanced Database Systems
 
Web Link
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.

Data Mining
 
Web Link
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.

Data Structures
 
Web Link
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.

Database Design
 
Web Link
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.


toggle toggle Mentoring/Advising
Duration (YYYY - YYYY or Present)Student NameClassificationTypeProject/Thesis/Dissertation
2009-PresentJason PowellPh.D.Graduate Research 
2007-presentRoopa VishwanathanPh.D.Graduate Research 
2007-presentShu ChenPh.D.Graduate Research 
2006-presentChengyang ZhangPh.D.Graduate Research 
2004-presentTerry GriffinPh.D.Graduate Research 
2007-2009Cai ChenMaster's thesisGraduate Research 
2004-2006Xiaohui LiMaster's thesisGraduate Research 
2003-2006Liqin ZhangPh.D. studentGraduate Research 
2003-2005Ping YuMaster's thesisGraduate Research 
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