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  phd, com. sci., ai, unsw, oz
  assoc. prof. cs, wvu, usa

I want to know how AI and data mining can help humans in real-world situations. What my work shows is that "less is more": i.e. AI tools can quickly and automatically learn the least number of constraints that most effect critical decisions.  

 About me


  • Associate Professor : Lane Department of Computer Science, WVU, WV. I teach data mining, agents, programming languages & artificial intelligence.
  • In the most cited SE papers since 2006, my work appears #37 and #114 out of 40,000+ papers.
  • I'm ranked in the top dozen of international SE community (amongst 50,000+ researchers) since 2007.
  • I have G and H indexes of 24 and 19.
  • Member, editorial boards : IEEE Transactions on Software Engineering; Automated Software Engineering; Empirical Software Engineering; Journal of Visual Languages & Computing.
  • Program committees : co-PC chair for ASE'12. Steering committee chair PROMISE'12. Organizer: RAISE'12 PC member: ASE'12, PROMISE'12, MSR'12, RAIISE'12, EMSE'12.
  • Students : Current: 3*phd + 2*masters. Completed: 4*phd + 19*masters; (only counted if I am commitee chair).
  • Recent papers : MALETS'11, ESEM'11, ASE'11.
  • All papers : 41 journal publications, 164 others including 90 at major international conferences.
  • Grants, current(2010) : Nsf: $500K + $369K; Qatar NRF: $200K; Dod.sttr(phase2): $260K; Wvu forensics: $35K.
  • Grants, all : Nasa:$2,000K; National archives:$1,400K; Nsf:$860K; Dod.sttr:$300K; Qatar NRF:$200K; Wvu forensics:$110K; TOTAL:$4,840K

See also my cv, papers, or pics. Also, see my Sept'08 Google talk or my Jan'11 Microsoft talk.