• position:
  • associate professor
  • Department of Electrical Engineering & Computer Science
  • York University
• university postal address:
  • Parke Godfrey
  • 1012M Lassonde Bldg (EECS)
  • York University
  • 4700 Keele Street
  • Toronto, Ontario M3J 1P3
  • CANADA
• office: Lassonde #2050
• telephone numbers:
  • Ph#: 416-736-2100 x66671
  • FAX#: 416-736-5872
  • EECS Department: 416-736-5053
• e-mail: godfrey@eecs.yorku.ca
• encryption: PGP Public Key
• research affiliations:
  • Laboratory for Computer Systems Research, York University
  • IBM Visiting Research Scientist, IBM Toronto Laboratory
• curriculum vitae:
  
  • PhD in Computer Science, 1999, University of Maryland at College Park.
  • MS in Information and Computer Science, Georgia Institute of Technology.
  • BS in Mathematical Sciences, University of North Carolina at Chapel Hill.

office hours: 14:00–16:00 Mondays & by appointment

• EECS-4411A: Database Management Systems

• EECS-4412M: Data Mining

past classes…

• CS Research Interests
  • primary
    • database, knowledge bases, & information systems
      • query expressiveness
        • preference queries & skyline queries
        • cooperative query answering
          (cooperative response to database queries)
      • query optimization
        • logic-based query optimization
      • information integration
        • heterogeneity & mediation over databases
        • reasoning over queries and views & query complexity
        • semantic query caching
      • query & database semantics
        • integrity constraints
        • weak forms of negation
  • secondary
    • deductive databases & logic programming
    • knowledge discovery & data mining
    • WWW search engine technology
  • tertiary / general
    • artificial intelligence
      • knowledge representation
    • theory of computation
      • algorithms
      • combinatorics & computational complexity
      • automata theory
    • software engineering

• Current Research Endeavors
  • skyline & preference queries
    • SPQL (a skyline-based preference query language): extending SQL for preference queries
    • understanding the properties of skyline (maximal vector) sets
    • developing relational algorithms for computing skyline (maximal vector) sets
  • Pareto Search: effective web search using long keyword queries
  • data mining on relational database systems
    • finding and addressing bottlenecks in RDBMSs for data mining applications
    • adapting RDBMSs for better use for scientific applications
  • query optimization and integrity checking
    • use of statistics and sampling in query optimization
    • optimizing integrity checking for complex constraints

...

• My list on DB&LP.

• My papers available online returning soon...