Skip to: Site menu | Main content


  prof AI+SE at cs.wvu.usa

  An effective data scientist supports some human endeavor, via the application of automated data miners. So I explore how to support this combination of silicon and carbon intelligence.

 About me

  • Full Professor : Lane Department of Computer Science, WVU, WV. I teach data mining, agents, programming languages & artificial intelligence.
  • My papers are the top 50 most cited out of 54,000+ SE researchers (and ranked #7 in effort estimation).
  • Two of my papers in IEEE TSE and the ESE journal are the first and third most cited papers in those jorunals since 2008.
  • I have an H index of 34.
  • Member, editorial boards : IEEE Transactions on Software Engineering; Automated Software Engineering; and the Empirical Software Engineering journal.
  • Service : Steering committee member: IEEE ASE, DAPSE; co-PC chair: ICSE'14 NIER; PC member: MSR'14, ICSE-demos'14; ICSE-main'14, DAPSE'14, EASE'14. GTSE'14, SAM'14, and SEAA'14
  • Students : Current: 4*phd + 3*masters. Completed: 5*phd + 23*masters; (only counted if I am commitee chair).
  • Recent papers : journal: TSE*3, ESE*2, IST, JSST; conference: ICSE'13*3, ASE'13*2, PROMISE'13*2
  • All papers : 55 journal publications, 177 others including 102 at major international conferences.
  • Grants, current(2013) : NSF: $1.2M + $748K; NASA: $47K; USDA: $134K
  • Grants, all : Nasa:$2,050K; National archives:$1,400K; Nsf:$2,455K; Dod.sttr:$300K; Qatar NRF:$200K; Wvu forensics:$110K; USDA: $134K ; Other: $695K TOTAL:$7,235K

See also my cv, papers, or pics.


Talks (on-line)