Edward R. Dougherty

Edward R. Dougherty
Born (1945-09-10) September 10, 1945
New Jersey, USA
Nationality American
Fields Mathematics, Electrical Engineering, Bioinformatics
Institutions Texas A&M University, since 1996, Rochester Institute of Technology,1988-1996, Fairleigh Dickinson University,1972-1988
Alma mater Rutgers University, (Ph.D. 1974)
Fairleigh Dickinson University, (B.S. and MS, 1967, 1969)
Doctoral advisor Joanne Elliott

Edward R. Dougherty is an American mathematician, electrical engineer, Robert M. Kennedy '26 Chair, and Distinguished Professor[1] of Electrical Engineering at Texas A&M University.[2] He is also the Scientific Director of the Center for Bioinformatics and Genomic Systems Engineering.[3] Dougherty is a specialist in nonlinear image processing, small-sample classification problems, and modeling gene regulatory networks. He is the Fellow of IEEE and SPIE.

Dougherty is the author of 16 books ranging from basic probability books to advanced computational biology and genomic systems engineering ones. He proposed the Probabilistic Boolean Network (PBN) model for gene regulatory networks.[4] PBNs have been extensively used for intervention and classification in genomic problems.[5][6] He has also introduced the notion of Bolstered Error Estimation[7] and Coefficient of Determination for Nonlinear Signal Processing.[8]

Honors and awards

Bibliography

References

  1. 1 2 "‘University Distinguished Professor‘ Titles Awarded To Six Texas A&M Faculty Members - TAMUtimes". TAMUtimes, the voice of Texas A&M University, College Station, TX. Retrieved 6 October 2014.
  2. "Edward R. Dougherty - CBGSE". Retrieved 6 October 2014.
  3. Shmulevich, Ilya; Dougherty, Edward (2002). "Probabilistic Boolean Networks: A Rule-based Uncertainty Model for Gene Regulatory Networks". Bioinformatics. 18 (2): 261–274. doi:10.1093/bioinformatics/18.2.261.
  4. Pal, Ranadip; Datta, Aniruddha; Bittner, Michael; Dougherty; Edward R. (2005). "Intervention in context-sensitive probabilistic Boolean networks". Bioinformatics. 21 (7): 1211–1218. doi:10.1093/bioinformatics/bti131.
  5. Datta, Aniruddha; et. al (2003). "External control in Markovian genetic regulatory networks". Machine Learning. 52 (1-2): 169–191. doi:10.1023/A:1023909812213.
  6. Braga-Neto, Ulisses; Dougherty, Edward (2004). "Bolstered error estimation". Pattern Recognition. 37 (6): 1267–1281. doi:10.1016/j.patcog.2003.08.017.
  7. Dougherty, Edward; et al. (2000). "Coefficient of determination in nonlinear signal processing". Signal Processing. 80 (10): 2219–2235. doi:10.1016/s0165-1684(00)00079-7.
  8. 1 2 "SPIE Fellows - Complete Listing". Retrieved 6 October 2014.
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