ROBERT A. SECCOMB

EDUCATION

M.S. The University of Montana (1998) Major: Computer Science

B.S. Montana College of Mineral Science and Major: Computer Science (Honors)

Technology (1987) Minor: Mathematics

CAREER SPECIALIZATION/RESEARCH INTERESTS

Practical application of Artificial Neural Networks (ANNs) in the field of honey bee research, bio-informatics, computer modeling, and computer data acquisition and control. Created and maintain the national DOE/EPSCoR web based progress reporting system.

PROFESSIONAL EXPERIENCE

EMPLOYMENT HISTORY

1995 - Pres. Computer Specialist, Division of Biological Sciences, The University of Montana

1994 - 1995 SCO Unix Consultant, PASS, Inc., Knoxville, TN

1993 - 1994 Research Assistant/Teaching Assistant, The University of Tennessee at Knoxville

1991 - 1992 Computer Programmer, Education Logistics, Missoula, MT

1987 - 1990 Computer Scientist I, Logicon Inc., San Pedro, CA

1981 - 1985 Computer Operator, US Air Force, San Antonio, TX

1979 - 1981 Assistant Engineer, Montana Power Company, Butte, MT

GRANTS AND CONTRACTS

US DARPA 1998 - 2002 ~$1.3 M/yr Engineered Bee Colonies

(with J. Bromenshenk, Ph.D.)

US DOD 1995 - 1999 $1.2 M Real Time Monitoring of Air with Bees

(with J. Bromenshenk, Ph.D.)

PATENTS PENDING

Honey Bee Conditioning Methods, Hardware, and Software UMT-102P (UM-ID035)

Honey Bee Smart Hive Electronics and Software UMT-103P (UM-ID036)

SELECTED PUBLICATIONS

Bromenshenk, J.J., G.C. Smith, B.E. King, R.A. Seccomb, D.C. Jones, Michelle A. Taylor, C.B. Henderson, and C.L. Wrobel. 2002. New and Improves Methods for Monitoring Air Quality and the Terrestrial Environment: Applications at Aberdeen Proving Grounds-Edgewood Area. Peer-reviewed Annual Report, U.S. Army Center for Environmental Health Research, Ref. Number DAMD17-95-C5072. 115pp.

Seccomb, R.A., J.J. Bromenshenk, and D. Opitz. 2000. Predicting Bee Flight Activity using Artificial Neural Networks, International Conference on Applied Simulation and Modeling. Banff, CA. pp. 77-82

Seccomb, R.A. 1998. Real Time Monitoring of Honey Bee Colony Dynamics with Internet Data Delivery and Behavior Analysis using Artificial Neural Networks. Masters Thesis, The University of Montana. 108pp.